[ { "id": "36bdf865-8399-4650-8fa7-d47777cc541b", "original_id": null, "input": "Premise: RANI : Woh Chaddha uncle keh rahein the ki main unke wahan job kar loo jab tak shaadi hoti hai tab tak , unko bhi help ho jayegi ... jab se mini gayi hai koyi hai nahin unka haath bataaney ke liye ## RANI : Kar loon kya ? Shaadi ke baad chhod doongi ## VIJAY : kya zaroorat hai job wob karne ki , ## RANI : real job nahin hai ... khaana achha bana leti hoon to unhoney bola ... aisey hi ... ## VIJAY : To aisey hi ... merey liye bana na ... mainey roka hai ... aur shaadi ke baad ghar baith ke cooking hi to karegi ... aur phir mummy ko bhi theek nahin lagega ... ## RANI : achha ... mana kar doongi ## \nHypothesis: RANI ka job karna mummy ko theek nahi lagega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "6e907e6f-4098-42f6-a143-6d9f3bc53f34", "original_id": null, "input": "Premise: BAUJI : Arre yeh chutney chakho .. ## MOTHER : Nahi nahi- humein nahi achhi lagti hai .. ## BAUJI : Arre kha kar toh dekho . Pehle hi har cheez mein na .. ## MOTHER : Kitney baras ho gaye hain ? ## BAUJI : 28 ! ## MOTHER : 28 ? Tum 28 baras se dhauns jama rahe ho mujh par ? Pichle janam mein bahut achhe karam kiye honge tumne , jo aisi achhi gharwali mili hai .. ## BAUJI : So toh hai .. ## BAUJI : Aur tumney ? ## MOTHER : Yeh janam toh cut gaya jaise taise- Main toh agle janam ka soch rahi hoon- abhi se .. ## BAUJI : Kaisa halka halka sa lag raha hai na sub .. Sub jhanjhat se parey .. Lag raha hai jaise akash mein udd raha hoon .. ## BAUJI : 105 ## MOTHER : Kuchh nahi .. ## BAUJI : Toh phir hansi kyun ? ## BAUJI : Arre kuchh bologi bhi ki khali khee-khee hi karti rahogi ..? ## MOTHER : Main kya boloon ? Tum hi udd rahe ho .. Batein toh badi badi karte ho anubhav ki .. Akash mein udne ka anubhav hai tumhe ? ## \nHypothesis: Mom ro rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "3a169d37-580d-4e11-b923-013eeafa64e0", "original_id": null, "input": "Premise: SARA : Mei n t oh rah oon gi na hin , l eki n tumhare liye ek aur nominee hota toh accha hota .. ## DEEPAK : Haan achha hota .. ## SARA : Soch lo phi r ... ready hoon main abhi bhi ! ## DEEPAK : Sh ay a d p ro bl e m m ei n h ai n v o h ! Pa re s ha a n th e in us s d in su b ah subah ! ## SARA : Kaun ? ## DEEPAK : Voh B 48 . 1 st floor . B ataya tha na ... ## SARA : Voh teenon bachiyan ... ## \nHypothesis: DEEPAK ko bhi aisa feel ho raha hai ki ek aur nominee hota toh accha hota.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "61d0b6cc-ab0b-4ced-b3d0-22ad43889f21", "original_id": null, "input": "Premise: SHAHID : Nahin kiya . ## RAJESH : Ruthe ho ? ## SHAHID : Nahin ... ## RAJESH : Phir ? ## SHAHID : Because , I am such a fool ## RAJESH : Nahin . Prachand murkh . Shahid smiles ... They start walking ... ## SHAHID : Main nahin karoonga follow up . ## RAJESH : Kranti ? ## SHAHID : Kranti ? Bas yeh dekh kya sahi hai . ## RAJESH : Kya hai ... ## SHAHID : Sirf paisa nahin , har samay nahin . ## \nHypothesis: RAJESH ne SHAHID se kaha ki tum Prachand murkh Nahin ho. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "41d1bb47-400c-4d5c-a81c-e4a3ccec757b", "original_id": null, "input": "Premise: KHALUJAN : Babban ..? ## BABBAN : Haan ! Poore plan ki ammi aapa karne mein lage ho tum ! ## KHALUJAN : Haramzade ! Kutte ! Jis thali mein khata hai usee mein chhed karta hai ! ## BABBAN : Khalu .. Kya kar rahe ho ? Paagal ho kya ? ## KHALUJAN : Tujhse kaha tha maine ki agar Begum par zara si bhee aanch aayee to tujhe jibah kar doonga main . ## BABBAN : Lag rahee hai yaar . Ruko toh ! Meri baat suno . ## KHALUJAN : Harami ke pilley ! Bol kiske liye kaam kar raha hai tu ? Bol , kisne karvai hai ye kidnapping ? ## BEGUM PARA : Humne . ## \nHypothesis: KHALUJAN ne kidnapping karwaai hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "dfc56e63-1e67-49b9-8f7f-0db3cc8857bd", "original_id": null, "input": "Premise: RAHUL : Come on Tia , show me your moves ! ## TIA : Kaunse moves ? ## RAHUL : Arrey har kisi ka ek trademark step hota hai . Jaise mera ? Jab party shuru hoti hai toh main milk shake banata hoon ... ## RAHUL : Phir jaise mood banta hai main istri maarne lagta hoon , aise ... Aur jab music perfect ho toh main gaadi bhi dhone lagta hoon ! ## TIA : Normally main aise nachti hoon . ## RAHUL : Oooh ... Yeh shampoo ad wala step hai ... ## TIA : Lekin jab main bahut high ho jaati hoon toh main ## TIA : Sexy chakki peesne waali ban jaati hoon .. ## \nHypothesis: TIA high hone ke baad istri maarti hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "6285223e-6541-4a08-8991-98fb7c4e9d39", "original_id": null, "input": "Premise: VIJAY : Kahin bhi shuru ho jaati ho dance karna , shushma didi ki sagai hai ... relations mein hain humarey ... socha to karo ... ## RANI : Baaki ladkiyan bhi to kar rahi thi ## VIJAY : Baakiyon se main shaadi kar raha hoon ?... mummy ko bhi theek nahin lagta hai yeh sab ## RANI : Achcha sorrrryyy baba ! nahi dance karungi na ab se . ## \nHypothesis: VIJAY ab se dance nahi karega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "b1678105-077b-46c6-9b5c-228b3afb0230", "original_id": null, "input": "Premise: AMMAJI : Thaari lugaayi . Usne bhi le ke aa . ## AMMAJI : Mhaare private matter ka tamasha bana diya tune . ## MEERA : In ko bolo gaadi ki chaabi de . ## BHUMIA : Chaabi . Chaabi de . ## MEERA : Inko bolo kamre mein jaaye . ## AMMAJI : Chhore na chhod de . ## MEERA : Andar jaao saare . ## MEERA : Tum nahi . ## MEERA : Darwaza band karo . ## MEERA : Darwaze se door jaao . ## \nHypothesis: BHUMIA chaabi maang raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "605062ee-8d11-4d51-8c7d-1d1ee6fb7edf", "original_id": null, "input": "Premise: MOM : Chalo chalo ... sab apna mood theek kar lo ... ## MOM : Kaisi hai ? ## RANI : Theek hoon ... pahunch gayee araam se ## MOM : Achcha .. Mausam kaisa hai ? ## RANI : thodi thand hai ## MOM : Achha ? ## DAD : Problem to nahin huyi koyi ? ## RANI : Nahin ... easy tha sab ## GRANDDAD : Kidhar hai meri jhalli ? ## RANI : Dadaji ! Aap kaise ho ? ## GRANDDAD : Puttar mera sher ... tu angrezon se darna mat . Tu koyi queen victoria se kum hai ? ## DAD : Oho . Minky aa gaya hai ## MOM : Beta vo mahinder jeeja ji ke yahaan aaj maata ki chowki hai , minky mama ke saath ja rahey hain ... tere liye pooja karne ## \nHypothesis: MOM RANI ke liye pooja karne ja rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "4eae6448-bade-407f-9e08-1c056b88f273", "original_id": null, "input": "Premise: MUSHTAQ KHAN: : Harish ? uhhh .. zaraa baat karni thi , do u have a minute ? ## HARISH: : I need to finish this article .. baad mein baat kare ? ## MUSHTAQ KHAN: : Urgent hain Harish ## HARISH: : Kya baat hai Mushtaq ... ## MUSHTAQ KHAN: : No No .. please sit .. ## \nHypothesis: MUSHTAQ KHAN ko HARISH se urgent baat karni hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "51572f19-25cc-4598-8a50-ab2f88693dfb", "original_id": null, "input": "Premise: PUSHPA : Pi bhi lo beta- thandi ho jaayegi .. ## PUSHPA : Apsey milne ko aaya hai .. ## AJJU : Bahut achhi chai hai .. Main banata hoon toh hamesha strong ho jaati hai .. Main .. kah raha tha main shaadi karna chahta hoon- Rita se .. ## CHACHA : Tera kaam waam ka kuchh pata nahin hai .. Aamdani ka kuch jariya hai tera ..? ## AJJU : LIC ka agent hoon chacha .. Woh toh chal hi raha hai .. Aur yes ek exam diya hai .. sales tax department mein .. Gorment job ke liye .. ## PUSHPA : Achha beta- phir aana , achha ? ## \nHypothesis: AJJU ka koi source of income nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "7ea910e2-845f-4847-bf84-75d59fc00544", "original_id": null, "input": "Premise: BHAIRAV : Paanch minute late ... ## ROHAN : Baal bana raha tha . ## BHAIRAV : T-shirt pe kya hai ? ## ROHAN : Who gives a hash at the rate of dollar per se ... ## BHAIRAV : Factory mein yah sab leechad kapda pahan kar nahin jaa sakte ... ## ROHAN : Mere paas sab yahi hai . ## BHAIRAV : Jaake meri almaari mein se kameez le lo . ## BHAIRAV : Aur baal banaane mat lag jaana nahin to ghar ke saare sheeshe tod doonga tumhaare sarr pe ... now run ! ## \nHypothesis: ROHAN ne kaha ki mere paas sab leechad kapde hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "f055e119-9f20-45cf-9982-73e71eec0aa1", "original_id": null, "input": "Premise: AMMAJI : Bechari daredi sa . (Poor thing looks scared) Jaa paani le kar aa . ## KAMLESH : Bua kahin jaa rahi hai ? ## AMMAJI : Beti tu theek sa ? Ke baat ho gayi ? ## MEERA : Hum dilli se aa rahe the . Raaste mein kuchh log ek ladka ladki ko ... ## AMMAJI : Machine kathey sa mhaari ? ## AMMAJI : Machine ? ## BHUMIA : Huh ? Mili nahi . ## AMMAJI : Ek kaam na hota raand sa . ## MEERA : Please Aunty ... Mera husband injured hai ... Please mere saath chaliye . Wo mar jaayega , Aunty ... ## MEERA : Aunty ? ## MEERA : Fuck . ## \nHypothesis: AMMAJI MEERA ko saath chalne ke liye keh rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "3d4ba7e6-818a-4f14-b078-3a3548f9dfcd", "original_id": null, "input": "Premise: TITLI : Gaadi khareedni hai . ## CAR SALESMAN : Kaun si ? ## TITLI : Honda city . Test drive karni thi . ## CAR SALESMAN : Kahan rehto ho ? ## NEELU : Aapko gaadi bechni hai ki chitthi daalni hai ghar pe ? ## CAR SALESMAN : Ji wo , test drive nahin karate hum . Na test drive ki gaadi hai yahan . ## NEELU : Yahan khadi to hai kitti saari . Chala ke nahin dekhenge to lenge kaise ? ## CAR SALESMAN : Cash mein leni hai ki loan pe ? ## TITLI : Cash . ## SUPERVISOR : Silver gray mein marvaa de ek round . ## CAR SALESMAN : Register mein naam pata likh dijiye apna . ## TITLI : Address pata nahin inko abhi . ## CAR SALESMAN : A a p ho aao a a r a m se . Madam ko thanda pilate hain hum tab tak . ## TITLI : Gaadi toh inko khareedni hai par . ## SUPERVISOR : Ho aa saath tu bhi . ## \nHypothesis: NEELU CAR SALESMAN ko ghar pe chitthi daalne ko keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "781537d0-33f6-46fb-a53b-5e1d7f10fd1c", "original_id": null, "input": "Premise: DOCTOR : Maine dekhe the ... lekin bolta to pata nahin tumhaare father kaise react karte ... ## DOCTOR : Ye unhone kiya tha ? ## DOCTOR : Tumhari mummy kahan hai ? ## ROHAN : Nahin hai ... Arjun ki mummy bhi nahin hai . ## DOCTOR : Tum chaaho to police mein complain kar sakte ho ... ## ROHAN : Vah kya karenge ? ## DOCTOR : Tumhaare papa ko pakadkar unse savaal karenge . Arjun se poochtaach karenge . Vah jo bhi karenge tumhaare papa dobaara kabhi aisa nahin karenge . Unke khilaaf kaafi mazboot case ban sakta hai . ## ROHAN : Vo roz roz aisa nahin karte ... ho sakta hai papa ne galti se jor se maar diya ho ... bhaag kar bhi vahi to le ke aaye the na ... ## ROHAN : Thank you ... ## \nHypothesis: Arjun ki mummy bhi nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "8223050d-ee0b-4f77-afc0-34de5f7aeebd", "original_id": null, "input": "Premise: JUDGE : Aap ki report kehti hai ki adalat mein Maa Baap ko qatil saabit karna mushkil ho sakta hai . Mushkil ? Matlab .. namumkin to nahi hai na bhai ? Bakwas hai aapki ye closure report , nahi accept ho sakti . Parents pe murder ka charge lagaiye or trial shuru kijiye . ## JUDGE : Lunch time hua ki nahin ? ## PAUL : Vedant Sir , hamaari karni yahin tak ki hai . Sanga Saab , ab geind aapke paaley mein hai . ## PAUL : The ball is in your court ! ## \nHypothesis: Ab geind Sanga saahab ke paale mein hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "3e9440ca-0c82-4b59-b4ef-96e1277f8142", "original_id": null, "input": "Premise: PATHAK : Kahaan they ? ## JHONTA : Masti . ## PATHAK : Kaam ke time masti ? Bahut gooda aa gaya ! ## JHONTA : Apne paise se gaye they ... aapki kaahe sulag rahi hai ? ## PATHAK : Kal se gota maarne ke time yahaan rahoge . Aur tumhara paisa hum rakhenge ! ## JHONTA : Kaahe ? ## PATHAK : Kaahe ki tum shahanshah na bann jaao ... aur sab uda na do . Jab bade ho jaaoge , tab le lena . Hisaab se rakhenge ! ## JHONTA : Hum didi se bol denge ... ## PATHAK : Bolo jo bolna hai . ## \nHypothesis: PATHAK didi se bol dega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "40d6277b-c7ca-420c-b1c6-a168f3514671", "original_id": null, "input": "Premise: SHAHID : Thank you , Sir . ## EDITOR-2 : Tum yeh bhi jaante ho ki yeh sab hote hue bhi main tumhein hire kyon nahin kar sakta ? ## SHAHID : Kyon Sir ? ## EDITOR-3 : Well ... ## SHAHID : Sir , Court se mujhe honorable discharge mila hai . It was a mistake . ## EDITOR-4 : Tumhara kahna sahi hai , par sahi aur galat ka lihaj aaj kisse hai ? Yeh shahar ab Bombay nahin , Mumbai hai . ## SHAHID : Toh iska matlab hai aap mujhe reject kar rahein hain ? ## SHAHID : I reject this job . Before you can reject my application . Shahid stands and walks out . ## \nHypothesis: Yeh sab hote huve bhi EDITOR-2 SHAHID ko hire nahi kar sakta", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "df0f2708-1eda-49a2-8fcf-881b90f25d9f", "original_id": null, "input": "Premise: RAHUL : Agli subah hum dono Vegas mein the , annulment ke liye .. and for better or worse Riana aur main ab husband aur wife nahi .. Sirf dost hai . ## RAHUL : Aur woh tab se try kar rahi hai ki woh mere liye kisi aur dhoondh le . Kahin pe bhi shuru ho jaati hai .. And its really embarrassing . Par mujhe nahi chahiye koi aur coz I really love her . ## RAHUL : Aur mujhe yeh samajh mein nahi aata ki mujh mein problem kya hai ? Ab toh mujhe achha job bhi mil gaya hai ... top 10 mein nahi hai par mujhe photography ke liye chutti lena allowed hai ## RAHUL : And obviously meri favorite model-- ## \nHypothesis: Agli subah RAHUL Vegas mein tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "8a99041c-8278-4e4c-9114-130a86ff4b06", "original_id": null, "input": "Premise: ARJUN : Hum kaun sa picture dekhne ja rahe hain ? ## ROHAN : Koi si bhi nahin . ## ARJUN : Lekin aapne to chacha ko bola ki hum ... ## ROHAN : Humne kissi ko kuch nahin bola . ## ARJUN : Humko Saif Ali Khan ki picture dekhna hai . ## ROHAN : Humko na to Saif Ali Khan dekhna hai na uski picture ... ## ARJUN : Hum sir ko bol denge ki tum unka car chura ke chalaate ho ... ## ROHAN : Tum ek shabd bhi unko bol ke dekho . Maar maar ke tumhaara bhurta bana ke litti ke saath kha nahin gaye to hum Rohan nahin . ## ROHAN : Ek choo nahin karoge tum kissi ko bhi ... samjhe ? ## ARJUN : Tum bilkul sir jaise ho . ## \nHypothesis: ROHAN aadmi ko maar kar kha jaata hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "e9f454df-ee42-4af5-9084-e81781142807", "original_id": null, "input": "Premise: SANDHYA : Namaste Bijay bhaiyya . ## BIJAY : Namaste Bhabhi . Aap is taraf ... ## SANDHYA : Kuch jaroorat ka samaan lena tha . ## BIJAY : Batao - sewa mein haajir hai devar . Chai campa kuch mangaoon . ## SANDHYA : Nahin , thank you . ## BIJAY : Akeli aayi ho , Prem ko kahan dukaan pe hee chorr aayi . ## SANDHYA : Nahin ... bindi nail paalish nahin chahiye . (pointing at the undergarment boxes) Us tarah ka kuch ho to dikha do . ## BIJAY : Didi dikhayengi , main jara kuch likha padi kar raha hoon . ## SANDHYA : Andar aajao . ## PREM : Nahin tum khareed lo jo tumhein khareedana hai . ## \nHypothesis: SANDHYA ko kuch zaroorat ka saaman lena tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "ec8ecb6c-3ba2-4568-b805-10d7147632b7", "original_id": null, "input": "Premise: OMI : To aap baat karenge baapu ? ## OMI : Bapuu ? ## OMI : Aap trustees se ek baar baat karenge na dukaan ke bare mein ? ## OMI'S FATHER : Tujhe kya pata hai dukaandari ke baare mein ? Kabhi vyapaar kiya hai ? Nuksaan hua to Kaun bharega ? ## OMI : Arre Bapu , Govind ne saari planning kar rakhi hai . Jis din jagah lock ho jayegi , hamaari partnership shuru . ## OMI'S FATHER : Trust ka sara kaam Bittoo dekhta hai . Yeh uchit nahi hoga ki main trustees se tere liye kuch maangoo . ## OMI'S MOTHER : Bapu ki baton mein mat aa .. tere apne mama hain .. Seedha jaake baat kar ne . ## OMI : Aap ek baar baat karke dekho na Ma .. ## \nHypothesis: OMI chahta hai Bapu ek baar trustees se baat karein", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "145cd857-43b6-4016-8451-34639a602c84", "original_id": null, "input": "Premise: BHAIRAV : Hum Calcutta jaa rahe hain . Teen din mein laut aayenge . Achcha gaya to kaafi contracts ke saath lautenge ... tum yahin Arjun ke saath rehna aur usko kabhi akela mat chhodna . Office college se teen din chutti maar lo theek hai ... ## BHAIRAV : Ye rakho ... chacha chachi to bataane ki zaroorat nahin hai . Pareshan honge . Unko hum bol diye hain ki tum dono bhi mere saath Calcutta ja rahe ho ... theek hai ? ## ROHAN : Ji sir ... ## BHAIRAV : Arjun ka khayal rakhna ... ## \nHypothesis: BHAIRAV Calcutta ja raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "08747bfd-5f5d-4476-99eb-58c44ea2882a", "original_id": null, "input": "Premise: PAUL : Hatyara agar 12 . 30 baje apne ghar se nikla to hatya ki jagah pe kitne baje pauncha ? ## KUKKU : Kitne baje ? ## PAUL : Abbey ghonchu 30 jama 20 ? ## KUKKU : 50 , 12 . 50 ## PAUL : Shabbash .. Aur hatya agar 12 se 1 baje ke beech huee to ussey hatya karne ke liye kitna samay mila ? ## KUKKU : 10 minute . ## PAUL : Shabbash .. ## KUKKU : Yayaya . Hum jeet gaye . ## JUNIOR OFFICER : Sir Kisi bhee Watchman ne Rajpal ko ghar se nikalte nahi dekha uss raat . ## \nHypothesis: Murderer ko murder karne ke liye 10 minute ka time mila", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "af558bab-d34f-4f8a-a376-cbdd46082097", "original_id": null, "input": "Premise: AL-TURK: : Chalo . ## KHALIL: : Mansoor- Fahad .. sab samaan gaadi mein daal do . ## SAFIRINI: : Mansoor aur Fahad theek se kar paayenge ? Training poori hain na inki ? ## AL-TURK: : Haan Haan , kaam ke pakke hain dono , Mujhe yahaan poori tafseel milti rahegi , Ab hum milenge Cyprus mein ## \nHypothesis: Ab AL-TURK KHALIL se London mein milega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "97099d74-09a8-491c-aa23-0cbbb4fa9700", "original_id": null, "input": "Premise: DEEPAK : It could have all gone wrong . ## FALAK : Mere baad wapis Andrea ko bulatey - pata nahi kya kya kehtey - tang aa gayi thi ! ## DEEPAK : Stick to coffee . Chai bahut kharab banati ho tum ! ## FALAK : I know - aap pehle aadmi hain jisne yeh sach bola ! ## DEEPAK : Aajkal mere jaise hi sach boltey hain ! ## \nHypothesis: Aajkal FALAK jaise log hi sach bolte hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "d3a756fa-2581-4ba0-a8ae-9da3e5b23571", "original_id": null, "input": "Premise: PHIL : Steffii .. Sambhal ke rahna . LAst time talli hoke isne Riana se shaadi kar li thi . ## NICOLE : Ignore him please .. Phil sit down . ## RIANA : Okay guys !! Who wants to dance ? ## KARAN : Main toh yahin se karoonga apna punjabi belly dance . ## PHIL : C'mon Rahul !! let's dance ## RAHUL : Nahin sir main !! ## PHIL : C'mon don't be shy .. You're family now !! ## STEFF : --Aunty jeeee ... I loveee this song ! ## RIANA : Mujhe nahi pata tha iss (snoring sound) personality ke peeche ek fun side bhi chupa hua hai . ## RAHUL : Actually mujhe bhi nahi pata tha ## RIANA : Dance floor pe bum kaafi achha hilla lete ho . ## RAHUL : Tum bhi itni buri nahi ho . ## RIANA : 5 on 10 ? 5 and a half ? ## RAHUL : A perfect 10 ! ## \nHypothesis: RIANA dance floor pe bum achha hila leta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "24a7f3e5-ab24-460f-999e-943dab67dfa2", "original_id": null, "input": "Premise: SHAHID : Kab se ? ## SHAHID : Just ek problem . Har char mein ek cancer se tapakta hai . Tum 3 mein ho , tumko kuchch nahin hoga . Ho sakta hai , kyon nahin ? 75% chance . Distinction hai ! ## KHALID : Ek minute , bhai . ## SHAHID : Dost ? Khalid shakes his head and walks towards his friend as Shahid looks on amusedly . ## \nHypothesis: SHAHID keh raha hai ki har char mei ek cancer se marta hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "ac3ee4d4-c6ee-4e35-91e0-571aaf464ead", "original_id": null, "input": "Premise: RANI : Kitna sunder lag raha hai ## VIJAY : Real wala iss se bhi sunder hai ... dekhna ## RANI : Main kahan se dekhungi ## VIJAY : Honeymoon pe ... paris hi to le ke jaunga tumhey ## RANI : Ainweyi ... deengey maartey ho ## VIJAY : Sach ... mainey to poora plan kar liya hai ... aur pata hai paris sab se achha kab lagta hai ? ## RANI : Kab ? ## VIJAY : Jab tum aur main wahan hongey ## \nHypothesis: VIJAY ne kaha ki ye sunder nahin hai, real wala sunder hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "e2ac018c-229e-48de-b814-8474cf209f98", "original_id": null, "input": "Premise: SIKANDAR : Bata na ... kaise phansti hai ye angrejan sab ? ## VIKRAM : Kaa be ... bhaujaai de nahin rahi kaa aajkal ? ## SIKANDAR : Jitna poochh rahe hain wo bataao na ? Thoda bahut angreji bol lete hain ... ## VIKRAM : Angreji se nahin hota . 'Attract' hona chaahiye . Kundan yaad hai ? ## VIKRAM : Wo jo peepa-pul mein naav ghusaaya tha chootiya .. abhi Sweden ... ki Switzerland ... kaun jaane ... ghoom ke aaya apni memsab ke saath . ## VIKRAM : Arre kanjoos saala naav bechne waapas aaya hai . Phir jaayega . ## VIKRAM : Sab bhainchod langot pakad lo humaara ... hum ud ke jaa rahe hain turantey ! Patta phenko ! ## \nHypothesis: VIKRAM ne peepa-pul mein naav ghusaaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "5ea6ea97-7222-4f7d-ae2e-33b5d5a02c78", "original_id": null, "input": "Premise: TIA : This is maaaadddd ! ## ARJUN : I can't believe main yeh enjoy kar raha hoon ... ## TIA : Uss red undie waale ko dekho na ... naak kitni lambi hai ... ## ARJUN : You know what they say , lambi naak matlab-- ## TIA : Tumhari naak toh kaafi choti hai ! ## ARJUN : Dude ! ## WASIM : Bro , focus focus ... Boobly stage pe aa raha hai ! Boobly ! Boobly ! ## \nHypothesis: ARJUN can't believe ki wo yeh enjoy kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "d1e74703-d6b6-4f33-b4ff-0632b3a7c112", "original_id": null, "input": "Premise: JAYESH : Chal ne Ali .. Ish Bhaiya practice dekhne aaye hai .. Chal uth . ## ALI : Nahi khelna mujhe .. chakkar aate hai ## ISHAAN : Su teni .. ## ISHAAN : Aaj gotiyon ki khair nahi .. huh ? ## \nHypothesis: Ish bhaiya practice dekhne aaye hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "02860e79-d1db-49db-9c79-70189a8b073a", "original_id": null, "input": "Premise: DHANIRAM : Hmm .. Kya Ramashankarr hai ? ## DHANIRAM : Thee .. ## AMRISH : 14 . ## DHANIRAM : Naam ? ## AMRISH : Shruti .. ## DHANIRAM : Naukar ka .. ## AMRISH : Khempal .. ## DHANIRAM : Tumhara ? ## AMRISH : Amrish .. ## DHANIRAM : Relative ? ## AMRISH : Meri Bhateejee hai .. ## DHANIRAM : Hmmm .. ## \nHypothesis: Naukar ka naam Khempal hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "d528f5c4-a792-4b01-baac-6de099a49f43", "original_id": null, "input": "Premise: DRIVER : Bechaara ... ## PAKHI : Sarakiye ... ## DRIVER : Kaahe ? ## PAKHI : Ek to bechaare motorcycle vaale ko naale mein dhakelte ho , gaadi chalaana nahin aata , aur poochte ho kaahe ? ## DRIVER : Hum dhakele ? ## PAKHI : Nahin to kya hum ? ## DRIVER : Aayiye ... ## \nHypothesis: PAKHI driver ko sarakane ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "00bf81df-1ec2-4882-9632-6e0518be1846", "original_id": null, "input": "Premise: MOTHER : Arre Rishi , tum , bhaiya ? ## CHACHA : Kaisi ho bhabhi ? ## MOTHER : Theek hi hain .. Tum toh aise gayab ho gaye ki tumhara pata hi nahin .. ## CHACHA : Aa jaaonga- aise hi- jaise aaj aa gaya ki nahin ? ## MOTHER : Aa ke mil lo Rishi- Aisa na karo bhaiya , hain ? Bada yaad karte hain tumhe , din raat .. ## \nHypothesis: MOTHER ne CHACHA ko aa ke milne ko kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "986fe16a-9c51-45ad-a110-6e161ad1e253", "original_id": null, "input": "Premise: ISHAAN : Par Prashant bhai khade khade teen teen back to back chakke maar diye .. ## DOCTOR : Kuch log god gifted hote hain Ishaan .. tez raftaar se aati hui gend bhi unhe footbaal ki tarah dikhti hai .. Ab aap ise hyper reflex bolo , hand eye coordination bolo .. ya phir upar wale ki den . ## DOCTOR : Kyun beta cricket khelne mein mazaa aata hai .. ## ALI : Nahi .. ## \nHypothesis: Doctor ALI ko pooch raha hai ke kya usko cricket khelna pasand hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "22110b2a-0075-4c0d-aa9e-859ed480040b", "original_id": null, "input": "Premise: RAHUL : Dadu yeh maal kahaan se laye hain ? Fuuuuck man ! ## ARJUN : Saale tu jitna perfect banta hain utna hai nahin . Tu Mom dad ka favorite bana kaise ? ## RAHUL : Mom dad hum dono ko equally pyaar karte-- ## ARJUN : --Kaminey , seedhe mooh toh bol de . ## RAHUL : You know what ... main teri jagah ek second mein le loon ... ## ARJUN : Yeah right ... ## RAHUL : Arrey jitne taane maar lein , atleast woh tujhe jaante toh hain . Mujhe toh woh jaante bhi nahin . ## RAHUL : Tujhe ek baat bataun . jo iss ghar mein maine kisi ko nahin batayi . ## \nHypothesis: ARJUN ko Mom Dad jaante nahi hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "673d3ab3-d3ed-4dc4-96b7-c4dea68ce031", "original_id": null, "input": "Premise: FALAK : Kahan reh gayi yaar Andrea ? ## RAJVIR : Haan dekh ke aa Vishwa ! ## MINAL : You are drunk Rajvir . ## MINAL : What are you doing ? ## RAJVEER : Come no . ## MINAL : Hey - you are high . Take it easy dude ! ## RAJVEER : Nakhrey mat kar na itna . ## \nHypothesis: RAJVIR wants Vishwa to go and bring Andrea. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "88490b20-bf71-4c95-be4e-4acefd77ae13", "original_id": null, "input": "Premise: PANDIT : Kyun bhai Raje babu aajkal darshan nahi hote aapke .. ## PANDIT : Bhagwaan ki zarurat nahi rahi aapko ? Hain ? Ki vishwas hi uth gaya ? Kahin naastik toh nahi ho gaye ? ## BAUJI : Nahi Pandit jee- Maine ek phaisla kiya hai- ki jis sach ko main dekh nahi sakta usey main nahi swikarunga .. ## PANDIT : Toh kya chahte ho Bhagwaan swayam prakat ho jaaye tumhare samne ? ## BAUJI : Aisa kuchh prabandh karwa sakte hain Pandit jee ? ## PANDIT : Jyada sayane ho gaye ho Raje babu ? Na dharm mein vishwas rah gaya hai no ishwar mein .. Pachhtaoge pachhtaoge .. ## ASHOK : Mujhe pass kar diya tayaji .. ## BAUJI : Wah mere bete- wah ! ## BAUJI : Khao bhai munh meetha karo- Itni badhiya khabar sunayi hai mere bachhe ne .. ## \nHypothesis: BAUJI naastik ban gaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "f0ec8a7b-c82e-46c6-b400-82ff4e5ef9de", "original_id": null, "input": "Premise: JUNIOR OFFICER : Sir , Dr . Tandon ka compounder hai .. Khempal uske gaon se hi hai .. ## KANHAIYA : Saab .. thoda rasiya type ka hai apna Khempal .. Ek number ka tharki .. Shruti baby pe dil aaya hua tha uska .. ## JUNIOR OFFICER : Par Wo to dada hai na ? Do pote hain uske . ## KANHAIYA : To ... Dada ke bhi to dil hota hai na saab .. ## \nHypothesis: Khempal Shruti baby ka dada hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "5b4ffb8d-ea4b-4130-b10c-7a5fbccc91fe", "original_id": null, "input": "Premise: NEELU : Bade excited hain tujhse milne ko . Naam bada badhiya hai , kaise pada , pooch rahe the ? ## NEELU : Bata ? ## TITLI : Mummy ko ladki ki umeed thi . Naam soch rakha tha . Muraad puri hui nahin , naam se kaam chala liya . ## TITLI : Milne jayenge gadbad nahi hogi ? ## NEELU : K u c h n a h i n h o t a . Papa u s k e Faridabad wale office gaye hain . Mummy gharpe rehti hai pura time , b h a i behen hai n a h i . ## NEELU : Wife k o bachcha bachcha karte doctron ke chakkar kaatne se time nahi . ## NEELU : Boli nahi tune kisiko kabhi , naam change karne ko ? ## TITLI : Surat se seerat chhupi rehti hai . ## \nHypothesis: Papa uske Faridabad wale office gaye hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "c9ae44e6-a72d-4e67-9621-3f879b5a4f3a", "original_id": null, "input": "Premise: FALAK : Kahan reh gayi yaar Andrea ? ## RAJVIR : Haan dekh ke aa Vishwa ! ## MINAL : You are drunk Rajvir . ## MINAL : What are you doing ? ## RAJVEER : Come no . ## MINAL : Hey - you are high . Take it easy dude ! ## RAJVEER : Nakhrey mat kar na itna . ## \nHypothesis: Andrea Vishwa ko dekhne ja rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "8c298808-f6b0-4a19-8506-991472f5965d", "original_id": null, "input": "Premise: PRAMOD NATHANI : Humne to kal hi dikhaye thhe khoon ke nishaan taale par . He ridiculed us . ## RAJIV : Mere uncle ne tudwaya tala .. ## RAJIV : Mr . D K Gogia .. Retired police officer .. Maine phone pe inhe bataya to ye sab kaam chhod ke yahan pahunch gaye . ## RAMESH : Lagta to Khempal hi hai .. ## DHANIRAM : O Bete !! Lagta hai , matlab ? Tumhare yahan kaam karta tha na 2 saal se ? ## \nHypothesis: PRAMOD NATHANI ne kal hi lock par blood ke nishaan dikhaaye they", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "7b93faf0-0fb9-4dc3-8e37-efdd3cdf0691", "original_id": null, "input": "Premise: BHAIRAV : Hum Calcutta jaa rahe hain . Teen din mein laut aayenge . Achcha gaya to kaafi contracts ke saath lautenge ... tum yahin Arjun ke saath rehna aur usko kabhi akela mat chhodna . Office college se teen din chutti maar lo theek hai ... ## BHAIRAV : Ye rakho ... chacha chachi to bataane ki zaroorat nahin hai . Pareshan honge . Unko hum bol diye hain ki tum dono bhi mere saath Calcutta ja rahe ho ... theek hai ? ## ROHAN : Ji sir ... ## BHAIRAV : Arjun ka khayal rakhna ... ## \nHypothesis: BHAIRAV 2-3 din mein Calcutta se laut aaega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "7a2ba487-8fd2-4759-af44-257f78316dc6", "original_id": null, "input": "Premise: MULLA : Sab apna hi rote hain . Yeh shahadat kiske liye ... Jab apno ko hi samajh nahin .. ## WAR : Haan . nahin samajhta . ## MULLA : Arrey khoon nahin khaulta tumhara ... ## WAR : Jahannam bana diya hai aap logon ne Kashmir ko . Humse poocha tha ? ## MULLA : Kya bak rahe ho ? ## WAR : Jo sahi hai . Kashmir azaad hoke kya karega jab aap poori nasl ko hi saaf karne par amaada ho . Sirf auratein bachengi yahan . A few kids get restless . Point gun . ## WAR : Yeh . Yeh hai ## WAR : aapki asliyat . Goonda tax band . Maarna hai .. maar do . Mulla gestures them to be at ease . War turns back and leaves ... ## \nHypothesis: War MULLA ko maarna chahta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "2f2f545b-7b7b-4042-bcbc-d814adcbdae4", "original_id": null, "input": "Premise: KHALIL: : Bhai ab hum kya karenge ? Plane chalaa nahi toh hum mar jaayenge ## KHALIL: : Ab yahaan baith ke faayda kya hain . Pilot bhi bhaag gaye ## SAFIRINI: : Shh ! Chup ! ## SAFIRINI: : Idhar aa ## SAFIRINI: : Suna nahi ## NEERJA : Mai in charge hoon , mujhse kaho ## SAFIRINI: : Announcement karni hain ## \nHypothesis: NEERJA in charge hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "eefb3599-4ae6-4f62-9ccd-e76308ddf252", "original_id": null, "input": "Premise: ARJUN : Mujhe laga tum aaogi nahin . ## TIA : Mujhe laga tum phone nahin karoge . ## ARJUN : T you know , dad ki death se pehle main tumhara dard samjh to gaya tha , magar aaj mehsoos bhi kar paa raha hun ... ## TIA : Hey .. I know how you feel .. ## ARJUN : Apnon se door bhaagte bhaagte thak gaya hun main .. ## TIA : Toh laut aao na .. Sab yahin hain .. Jahan the .. ## ARJUN : I missed you .. ## \nHypothesis: TIA apno se door bhaagte bhaagte thak gaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "36817624-e041-42c5-a95e-6875ddca6177", "original_id": null, "input": "Premise: GIRL : Fuck off . You're lying . ## BOY : You were totally passed out . ## GIRL : Ma'am is ticket ka status batayengi ? ## DEVI : Confirm nahin hua hai . ## BOY : Tatkal mein check kar sakte hain ? ## GIRL : Ek seat milega toh bhi chalega . ## DEVI : Nahin hai . ## GIRL : Kisi aur train mein ? ## DEVI : Kisi mein nahin hai . ## \nHypothesis: Ticket confirm ho gaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "f8b85a78-ace8-499e-b8dc-e1186944368c", "original_id": null, "input": "Premise: MISRA : Good afternoon ... Vicky Thakur murder mein mere paas ek ajeeb tip aayi ... ## MISRA : Vicky ka killer kisi official vehicle mein bhaaga tha ... Aajkal Pakisatn mein hai ... Kahin aapke dream project ka hissa toh nahi hai ? ## ASHWINI : Kaunsa dream project ... Jo tumney bandh karva diya ... ## MISRA : Aapne bandh kahan kiya hoga ... Thoda toh main bhi jaanta hoon aapko ... ## ASHWINI : Thoda jaantey ho ... Poora nahi ... ## \nHypothesis: ASHWINI ne MISRA ko kaha ki tum mujhe poora nahi jaantey ho. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "d55935f7-105a-44c9-9c5b-f39dbae674ba", "original_id": null, "input": "Premise: SANDHYA'S MOTHER : Toh phone kaahe nahin karti ? ## SANDHYA : Woh bhi toh kar sakte the naa . ## SANDHYA'S MOTHER : Uski barabari ki naa soch . ## SANDHYA : Sahi kahi , uski meri kya barabari ! Papaji , khaana le lo . ## SANDHYA'S MOTHER : Kuch Prem ke liye bhi rakh de . ## SANDHYA : Aye , Samar - chal baith ke kha . ## SANDHYA'S MOTHER : Arey , mera toh upwaas hai . ## SANDHYA : Bara baj gaye , agla din shuru ho gaya , naashta samajh ke kha lo . ## SAMAR : Ek last baar dekh lo didi , ho sakta hai Jijaji hee ho . ## SANDHYA : Amma ki god mein soye pade honge , tu khaana kha . ## \nHypothesis: SANDHYA'S MOTHER ka upwaas hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "706d6fd9-ebea-48e6-a0b4-6a4ed8bf7505", "original_id": null, "input": "Premise: ARJUN : Don't judge me ... dadu ka birthday gift hai ... ## TIA : Main tumhe nahi tumahre dadu ko judge kar rahi hoon-- ## WASIM : Arjun , Boobly tujhe invite kar raha hai . Chal na bro , mazaa ayega .. ## ARJUN : You wanna come ? ## \nHypothesis: ARJUN ne invitation accept karne se mana kar diya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "dce0c092-7241-47cd-800c-13c2eeed3993", "original_id": null, "input": "Premise: SHAHID : Yaar ek zaroorat hai ... ## AFTAB : Bata ... ## SHAHID : Yaar , U . A . E External affairs ministry se letter fax karwana hai Indian Ministry mein ... ## AFTAB : Ye legal kaam kaayko dete ho humein ... chalo koshish karte hain ki ho jaaye bhai ... aur kuch ? koi pareshaani ? kisiko set karna hai toh bolo ... Shahid is silent for a moment . ## SHAHID : Nahi bhai ... Kuch bhi karlo , bas karlo ... Koi zindagi bhar dua dega .. Main fax karta hoon details ... ## AFTAB : Dekhta hu kya kar sakte hai idhar ... ## SHAHID : Allah Hafiz . ## \nHypothesis: AFTAB ko legel kaam karna pasand hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "e2903927-0876-4fbb-83c9-8624b54cf20d", "original_id": null, "input": "Premise: ASLAM : Rukke bhai ... Kum padh gaye thaiy ... Saleem bhai ne ... ## GOLDMAN : Toh ginke do kyon le raha hai ? ## ASLAM : Ji bhai do hi kum padey thaiy ... ## GOLDMAN : Theek hai ... theek hai ... ## \nHypothesis: GOLDMAN ne ASLAM se do se kam lene ko kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "4d031746-e925-4968-9651-be2f33068d34", "original_id": null, "input": "Premise: RECEPTIONIST : Nahi Sir busy hain - voh nahi le saktey brief aapka ! ## FALAK : Lekin subah toh unhone kaha tha ki - ## RECEPTIONIST : Nahi voh mujhe pata nahi tha Sir conference le chuki ha in doosri party ki - ## ANDREA : Kyun ? What exactly do you mean ? ## FALAK : Nah i k oi nah i m aa n r aha - haa n aunty - koi bhi chal jaayega abhie toh - Ji aun ty - haa n a ap bul a laiyye unko ! ## \nHypothesis: Subah Sir ne kaha tha.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "08dfe1a2-36eb-4bf9-a340-d41e17933bb1", "original_id": null, "input": "Premise: ARJUN : Kyun , kya hua ? ## RAHUL : Papa called , Dadu got a heart attack . ## ARJUN : Shit ! Is he okay ? ## RAHUL : Ab stable hain , magar ICU main hain .. ## ARJUN : Unhone mujhe phone kyun nahi kiya ? ## RAHUL : Arjun , in baaton ke liye time nahin hai ... Maine saare flights check kiye hain , sirf Air India ki direct flight hai . Waheen lekar parsoe chaar baje pahunch raha hoon . Tum agar kal New Jersey se 7 : 40 ki flight lelo , toh hum dono airport se saath nikal sakte hain . ## ARJUN : Gimme a sec . ## RAHUL : Tumhare liye ticket khareed loon ? ## ARJUN : Koi zarurat nahin . Main manage kar lunga . ## \nHypothesis: Dadu ICU main hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "fed76d00-e801-410b-9d18-9471c40caae4", "original_id": null, "input": "Premise: ASHWIN : Hello .. ## REEMA : Hello Ashwin . ## ASHWIN : I am at work . ## ASHWIN : It's fine . Tell me ? ## ASHWIN : Mohanty ko phone lagao . ## REEMA : Tumhe wo dawai ka naam yaad hai . Dr . Banerjee ne prescribe ki thee , mere migraines ke liye . Subah se unka phone off hai . ## ASHWIN : Relpax .. ## REEMA : Relpax ! yeah !... Mujhe yaad hi nahin aa raha tha .. Thanks . ## ASHWIN : Mujhe laga tha ki mere jaane ke baad tumhare migraines ruk gaye hain . ## REEMA : Ruk gaye thay .. Phir shuru ho gaye . ## ASHWIN : Ijaazat film dekh rahi ho ? ## REEMA : Hmm . ## ASHWIN : Listen I have to go .. You take care .. ## ASHWIN : What's wrong ? ## VEDANT : His BP's gone dangerously low .. ## ASHWIN : Dr . Swamy . ## \nHypothesis: ASHWIN REEMA ko Mohanty ko phone lagane ko keh rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "08c179d1-7ed2-4859-b5d2-30aa33b6670c", "original_id": null, "input": "Premise: RAJ SINGH : Jaa fresh ho le . Sampradayik Singh walks out fuming . Shahid's face is pale and tired . ## RAJ SINGH : Tu ... bata de sab . ## SHAHID : Bata diya . Mujhe aur kuuch nahin pata . ## RAJ SINGH : To woh Pakistani jhooth bol raha hai ? ## SHAHID : Main usse camp mein mila tha . Bas . ## RAJ SINGH : Toh number kyon diya usko ? ## SHAHID : Main aur kisi ko nahin jaanta tha wahaan . Mujhe kuuch hota toh woh ghar walon ko phone ... Mere padosi ka number diya tha . ## RAJ SINGH : Phone nahin hai tere ghar par ? ## SHAHID : Nahin . He walks out and closes the door . Meets Sampradayik Singh outside . ## \nHypothesis: SHAHID ne kaha ki woh Pakistani jhooth bol raha hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "47c69c1a-016f-4ee5-9ccf-357f25d84d63", "original_id": null, "input": "Premise: JUNIOR OFFICER : Sir , Dr . Tandon ka compounder hai .. Khempal uske gaon se hi hai .. ## KANHAIYA : Saab .. thoda rasiya type ka hai apna Khempal .. Ek number ka tharki .. Shruti baby pe dil aaya hua tha uska .. ## JUNIOR OFFICER : Par Wo to dada hai na ? Do pote hain uske . ## KANHAIYA : To ... Dada ke bhi to dil hota hai na saab .. ## \nHypothesis: Shruti ka dil khempal pe aaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "67a54dcd-c03e-4110-bde3-7773d913274d", "original_id": null, "input": "Premise: NOORUDIN : Haan . ## SHAHID : Yeh Nepal mein hua tha ? ... ## NOORUDIN : Haan . ## SHAHID : Apne Nepal mein hone ka kuuch proof hai tumahare paas ? ## SHAHID : Agar yeh map is pant se baramad hui hai toh (He moves forward and is about to pick a trouser) ## JUDGE : Wear a glove .. He picks up the blood soaked trouser anyways ... ## SHAHID : Is pant ki colour bata sakta hai koi ? Tajjub yeh hai , ki is map mein khoon ka ek katra nahin , jab poori pant , khoon ke rang se rang badal chuki hai . Sach to yeh hai ki map plant kiya gaya tha us pocket mein ... Yeh map asliyat mein vahaan tha nahin ... ## PROSECUTOR : Objection . Defence .. ## JUDGE : Noted ... ## SHAHID : That's all your honour . ## \nHypothesis: Map mein thoda bhi khoon nahin laga hua hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "bbd6c3b1-dd0f-4cb1-9f25-7069a2e5cb42", "original_id": null, "input": "Premise: MUNIYA : Hai Allah ! Kya hua aapko ? Safed pad gayeen hain aap . ## BEGUM PARA : Humein darr lag raha hai Muniya . Hum jo kar rahein hai woh sahi toh hai ? ## MUNIYA : Darr to lagega hee , lazim hai . Subah ki dawai lee aapne ? ## MUNIYA : Main hoon na aapke saath . Marte dum tak , ghabrayein na . Iss ke siwa ab aur koi chara baaki nahi rah gaya hai aapke liye . Sab allah ke uppar chhod dein . Jo hoga theek hee hoga . ## MUNIYA : Chaliye . Poora Mahmudabad aapka faisla sunne ke liye betaab hai . ## \nHypothesis: MUNIYA ghabraa raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "136595cb-0b00-4969-a40c-156448ff41e6", "original_id": null, "input": "Premise: SARA : Mei n t oh rah oon gi na hin , l eki n tumhare liye ek aur nominee hota toh accha hota .. ## DEEPAK : Haan achha hota .. ## SARA : Soch lo phi r ... ready hoon main abhi bhi ! ## DEEPAK : Sh ay a d p ro bl e m m ei n h ai n v o h ! Pa re s ha a n th e in us s d in su b ah subah ! ## SARA : Kaun ? ## DEEPAK : Voh B 48 . 1 st floor . B ataya tha na ... ## SARA : Voh teenon bachiyan ... ## \nHypothesis: SARA keh rahi hai ki main sochne ke liye ready hoon. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "b996af6d-9dbf-4638-b6da-645670e158da", "original_id": null, "input": "Premise: RAHUL : Mom ne kahaa thha ki woh tere room mein mattress ki wajah se shift hui hain , par dono kamron mein same mattress hai . ## ARJUN : Whaaat ? Dono kamron mein same mattress ! Ab kya hoga Sherlock ? ## RAHUL : Shut up Arjun . Mom aur dad alag kamron mein so rahe hain ? ## ARJUN : Dad ke saath paintees saal bita le , tu bhi alag kamre mein soega . ## RAHUL : Tu tape-recorder chhod kar sadak pe dhyaan de . ## ARJUN : Itna dar lag raha hai toh khud gaadi chalana seekh le na . ## RAHUL : Aati hai mujhe .. I'm just not comfortable driving . ## ARJUN : Ye kya hai bhai sahab ? ## LANKY MAN : Chutta nahin hai sir . ## ARJUN : Toh ? ## LANKY MAN : Toh 23 ka toll aur 7 ka Lollipop . ## RAHUL : What the-- ## \nHypothesis: Mom aur dad paintees saal saath bita chuke hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "fce5aebe-f26c-47ab-8d48-c3a930f1e63e", "original_id": null, "input": "Premise: SI BENIWAL : Area mein poochh-taachh kar rahe hain . Kuchh habitual offenders ki questioning bhi chalu hai . Madam , aapne unka registration number note kiya hota toh matter kaafi simple hota . ## SI BENIWAL : Nahin ? ## SI BENIWAL : Yeh shaher badhta bachcha hai , Sir . Kood to lagaayega hee . Aapko inko aise raat mein akele travel nahi karne dena chahiye . ## SI BENIWAL : Aapki DIG saab se achchi pehchaan hai . Aap inke liye ek gun licence kyon nahi apply kar lete ? ## MEERA : Gun ? ## \nHypothesis: Madam ne registration number note nahin kiya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "0a4f3906-6978-4810-8f41-720def35a1f2", "original_id": null, "input": "Premise: ASHWINI : Kisi bhi agent ka aanewala kal sirf tab khush hota hai jab guzre hue kal se rishta toot jaata hai ... Wali Khan ke past aur future ke beech sirf main tha ... Jisne use GIC se recruit kiya aur Karachi bheja ... ## SUMITRA : Ashwini ! Log retire hotey hain ... ## ASHWINI : Aur hone se pehle kuch chapter bandh karkey jaateey hain ... Aata hoon ... ## ASHWINI : Is liye mera retirement uske liye sabse bada mauka tha ... Aane wale kal ko khubsoorat banane ka ... ## \nHypothesis: log retire hone se pehle kuch chapter bandh karkey jaatey hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "7d766ced-2458-4fe9-bff2-ca1948c9cd46", "original_id": null, "input": "Premise: DEBDAS : Tum vivaah kar rahe ho , Pakhi se ... ## VARUN : Sagaai . ## DEBDAS : Kya baat hai Varun ? Kya chhupa rahe ho ? ## VARUN : Kuch nahin ... ## DEBDAS : Kuch to hai jo tum nahin kah rahe ho ... ## DEBDAS : Bajpai ji ko kya bataaoge ? ## VARUN : Pata nahin . ## DEBDAS : To phir sagaai kyon kar rahe ho ? Usse poora hi khatam karke jaane ka iraada hai ? ## DEBDAS : Sagaai kahaan hai ? ## VARUN : Mandir mein . ## DEBDAS : Kab ? ## VARUN : Kal ... ## \nHypothesis: DEBDAS paakhi se sagaai kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "932b615a-82b9-4d01-b55f-a96e5c33c861", "original_id": null, "input": "Premise: AL-TURK: : Chalo . ## KHALIL: : Mansoor- Fahad .. sab samaan gaadi mein daal do . ## SAFIRINI: : Mansoor aur Fahad theek se kar paayenge ? Training poori hain na inki ? ## AL-TURK: : Haan Haan , kaam ke pakke hain dono , Mujhe yahaan poori tafseel milti rahegi , Ab hum milenge Cyprus mein ## \nHypothesis: AL-TURK ko Mansoor aur Fahad par pura bharosa hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "485c258b-c45d-4a90-b772-1a310fa9601e", "original_id": null, "input": "Premise: RAHUL : Aise hi chala jayega .. Bina kisi se baat kiye . ## RAHUL : Mom ko humari zaroorat hai Arjun . ## ARJUN : Mom ko humari nahin tumhari zaroorat hai . ## RAHUL : Mujh se toh woh baat bhi nahin kar rahi .. Aur shaayad kabhi nahin karengi . ## ARJUN : Nothing you can do will ever disappoint her . ## RAHUL : What if I told you I have lied to her my whole life , and I've no interst in Tia or any other girl for that matter ? ## RAHUL : You don't have to say anything .. Just stay back a little longer .. ## ARJUN : I can't . I need sometime . ## DHARAMENDRA : Taxi aa gayi hai . ## \nHypothesis: RAHUL lied to Mom his whole life. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "eda45a21-b291-4388-b4a2-e83ee8b06ba8", "original_id": null, "input": "Premise: MEERA : ...please kuchh help kijiye . ## SATBIR : O ! Ahn Re ! ## BIHARI MIGRANT : K ... kaun ? Kya hua ? ## SATBIR : O Bihari ! Koi lugaayi aayi ke ? ## BIHARI MIGRANT : Koi nahi aaya hian toh . Bas aap du log aaye hain . ## FAUJI : Batti kaise on hui baahar ki ? ## BIHARI MIGRANT : Woh ... pesaab ke liye gaye the . ## BIHARI MIGRANT : Mehraru hai maalik . ## BIHARI MIGRANT : Pul ke us taraf thana hai . ## MEERA : Police mili hui hai . Gaon mein koi ...? ## BIHARI MIGRANT : Sarpanch hoga . Unke paas jaaiye . ## MEERA : Aap le chalenge ? ## BIHARI MIGRANT : Hum baahar waale hain , Madam . ## \nHypothesis: MEERA is asking for help", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c1f486bb-9b6c-42fc-bf39-6e25e7403595", "original_id": null, "input": "Premise: NEETU CHACHI : And look what I found in .. ## MOTHER : Arrey .. Haan .. Ye toh pata nahin kitni purani hain ... Yeh taste kar --- ## NEETU CHACHI : It's delicious ! Timmy ko bolo na mujhe kuch mutton recipes bheje , Sharic just loves this stuff . ## MOTHER : Haan , ussey bolti hoon email karne ke liye . ## \nHypothesis: MOTHER said 'I do not know whether it is old or new. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "fee5458a-0393-4804-a298-4c6d4ae795c8", "original_id": null, "input": "Premise: JUDGE : Mr and Mrs Kumar aap log Mutual Consent ## JUDGE : Mr . Kumar ## ASHWIN : Mere paas koi vajah nahi hai .. ## JUDGE : Mrs Kumar .. Arzee aapne jama ki hai court mein .. ## REEMA : Alag hone ki vajah nahin hai toh saath rehne ki bhi koi vajah nahin hai .. ## REEMA : Hum bevajah saat sote hain aur saath jagte hain , bevajah ladte hain aur bevajah hi pyaar karte hain .. Hamara rishta kai saal pehle mar chuka hai . Hum dono uski laash ki boo mein sad rahe hain , bina vajah .. ## ASHWIN : Shaadi ke baad hum dono ke affairs bhi hue thhe .. ## REEMA : Kin logon ke saath wo bhi jaan-na chahenge aap ? ## \nHypothesis: Shaadi ke baad ASHWIN aur REEMA ke affairs bhi hue thhe.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "825d919d-d048-467e-aeb3-52f80e5cac27", "original_id": null, "input": "Premise: PREM : Dukaan ke bhao lagwa lo , Papaji . ## PREM'S FATHER : Dekh lo bhaiyya , chao toh tujhe hee raha geet sangeet se . ## SANDHYA : Acchha Mummy . Achha bua . ## PREM : Ruko main chorr aata hoon tumhein . He follows Sandhya . ## \nHypothesis: PREM SANDHYA ko drop karne ja raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "8c84c3f9-5946-4f1a-8a0e-f36cd944d9be", "original_id": null, "input": "Premise: RAHUL : Nice ! Toh hamare beech jo kuch bhi hua ... woh sab ek dost ki tarah ? ## RIANA : Kya hua hai hamare beech Rahul ? ## RAHUL : Jab tumne mujhe apne saath India bulaya , toh that was as a friend ? ## RIANA : Ofcourse ! Tumhe ek break ki zaroorat thi . Tumne meri itni madat ki .. Ki agar main tumhare liye kuch kar ---- ## RAHUL : Ehsaan lauta rahi thi ? ## RIANA : Nahi Rahul main tumhe mislead nahi karna chahti thi . I just wanted to take care of you . ## RAHUL : I can take care of myself Riana , main 25 saal ka hoon . ## RIANA : Aur phir bhi apne parents se jooth bol rahe ho ? ## \nHypothesis: RIANA apne parents se jhooth bol rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "77b4eb5f-2eac-4d15-9524-a6aa5f9ae044", "original_id": null, "input": "Premise: RAHUL : Music kum kar .. you're distracting me-- ## ARJUN : Yeh khataara bees ke upar chalti hai . Chinta chhod accelerator daba . ## RAHUL : Shut up Arjun . ## ARJUN : What the-- C'mon , uss gaadi ko overtake kar . ## RAHUL : Arjun ! Rehne de . ## ARJUN : C'mon , accelerator daba , daba , daba ! ## RAHUL : Yeh kya hai ? ## ARJUN : --shhh , aaram se overtake kar ... ## ARJUN : ---song lyrics--- ## RAHUL : Oh my God .. Oh my God ... Uski shakal dekhi tuney !! ## \nHypothesis: ARJUN jaldi overtake karne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "f94a1826-1ee3-4376-986e-a9f6af28ac88", "original_id": null, "input": "Premise: RAJIV : Sir .. Kamre mein khoon phaila hua hai .. gadda , chaadar poore khoon mein bheege hue hain . ## DHANIRAM : Main to yahaan Sameer Vihar mein hoon Sir .. SP saab duty laga ke gaye hain .. Ji .. ## DHANIRAM : Nahin Sir .. Kya baat kar rahe hain Sir .. Main kisi aur ko yahan pe bitha ke aata hoon sir .. Jee sir .. Jai hind .. ## DHANIRAM : Sample le liye hain humne .. ## PRAMOD NATHANI : To chhat pe daal dein ? ## DHANIRAM : Tumhara kambal , tumhari chaddar .. Chhat pe daalo ki sandook mein dalo . Main kya bataaoon .. ## \nHypothesis: DHANIRAM ne sample le liye hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "656bd852-737a-4db8-b464-919b6035950c", "original_id": null, "input": "Premise: SANDHYA : Le lo ! ## SANDHYA : Thank you bolne se shaan nahin ghat jaayegi aapki . ## PREM : Thank you . ## PREM : Tum so jao , main thoda kaam kar raha hoon . ## SANDHYA : Aapne mere gaane bhar diye ? ## PREM : Nahin . ## SANDHYA : Main kuch madad kar sakti hoon ? ## PREM : Nahin , tum so jao . Sandhya feels dejected . ## \nHypothesis: PREM ko bas thoda sa kaam karna hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "25063f61-9743-425b-b603-8981bd5d273e", "original_id": null, "input": "Premise: TIA : Thank you so much . Haan maasi se baat ho gayi , unhone subah wish kiya thha . Thanks for calling . Bye ! ## ARJUN : Ek second .. Aaj tumhara birthday hai ? ## TIA : Haan . ## ARJUN : Seriously ? ## ARJUN : Happy Birthday T ! Pehle bataya hota toh Boobly ka cut- out le aata . ## ARJUN : Kya baat hai T ? Thoda toh excitement dikha do , it's your birthday ! ## TIA : Actually , Aaj mere parents ki fourteenth death anniversary bhi hai . ## ARJUN : Oh .. I'm so sorry . ## RAHUL : Kidhar ho aap ? ## FATHER : Garage pe . Aadhe ghante mein pahunchta hoon . ## ANU : Kya ho gaya hai tumhe ? ## FATHER : Kuch nahin .. ## \nHypothesis: TIA ka aaj birthday hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "b700fde3-46ab-47b4-a29d-a0e1025d6aee", "original_id": null, "input": "Premise: SALMA : Bhai . Ek kaam hai . ## SHAHID : Haan . ## SALMA : Yeh apne abbu se milna chahti hai . Aaj mil nahin sakte pan isko pata hai ki aap jaa rahe ho aaj . Shahid smiles and looks at the cute girl . ## SHAHID : To tum apne ammi ko pareshaan karti ho ? ## REHANA : Kahan .. Abbu ne kaha tha ki ammi ko pareshaan mat karna aur padhna . Mere ko report card dikhana hai , main second jo aayi . Shahid melts . ## SHAHID : Tab toh jaana banta hai . The kid is very happy . ## \nHypothesis: Cute girl SALMA ke Abba se milna chahti hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "ea487af1-f8f4-4afa-8d6a-c2f73230a51b", "original_id": null, "input": "Premise: CAR SALESMAN : Teesre chauthe mein tight hogi . Hajaar kilometer pe khulegi . ## NEELU : Saath free kya kya dete ho aap ? ## CAR SALESMAN : Chandarpalji aaram se . Payment kardo , fir jo marji karna ! Saath mein madam iske .. ## NEELU : Ye chandarpalji kaun hain ? ## VIKRAM : Gaadi ghuma Titli . Rail phatak ki taraf chal fatafat . ## TITLI : Chupchupchup . ## NEELU : Mujhe jaana hai . ## PRADEEP : Chal rahe . Don't waary . ## VIKRAM : Saans chal rahi hai bete . ## NEELU : M u j h e ghar j a a n a hai !! K y a ho raha hai ? Papaaaa . PAPAJI ! ## VIKRAM : Pakad pakad . Phone pakad ! ## NEELU : Hallo ? Hallo prince ? ## NEELU : M u j h e n a h i n murder k a r n a . PAPAAAAJI MURDER KAR RE HAIN !! ## PRADEEP : M a r d a r thoda h a i beta . Gaadi garaje chodni hai bas . ## VIKRAM : Jinda hai , koina mara . Dekhle !! ## VIKRAM : Rok idhari . ## NEELU : Mainnahin mainnahin !! ## PRADEEP : CHUP HO JA ! CHUPPP ! ## VIKRAM : Ghar ko chal . ## VIKRAM : Susu kar diya poora . ## \nHypothesis: VIKRAM keh raha hai ki mujhe kuchh nahin hua, main zinda hoon. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "ef730e98-e414-4066-b6e1-89553b711d00", "original_id": null, "input": "Premise: MIKHAELO : This ? ## RANI : Yes very good massage ## MIKHAELO : It's not for the neck ## RANI : pata hai ! Its for neck , back , shoulders aur haan head ! dadaji ke liye hai ... my grandfather ## MIKHAELO : What ??? ## RANI : Jodon mein dard hai na ... tch ... arthritis ## RANI : for mummy ... multicolour na ... (to herself) sab ke saath jayega ## RANI : This for chintu , my brother ... he loves playing chor police ## \nHypothesis: RANI ko arthritis hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "5c1033b1-16ed-4137-b507-d8e306414642", "original_id": null, "input": "Premise: SHAHID : Kuuch der ruk nahin sakti thi ? ## MARIAM : Main apne bete ke maamle mein compromise nahin karoongi . ## SHAHID : Main yeh baat araam se karta . Abhi bolne ki kya zaroorat thi . ## MARIAM : Sorry , tumhari ammi itni chidchidi hain . Pahle burqa , ab ... ## SHAHID : bas ! ## \nHypothesis: SHAHID wants to take rest while speaking. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "a9d74f35-7264-4cff-a209-16e96987c552", "original_id": null, "input": "Premise: VIKRAM : M a a k e lorre ! N a h i n r o k r a h e , chal !! ## VIKRAM : Phone de chal ! ## PRADEEP : Purse . Purse ! ## VIKRAM : Madam jhumke bade kamaal ke pehne hai . Dedo ye bhi . ## VIKRAM : DE DO PLEAJE ! ## YOUNG GIRL : No please , nonono ! ## VIKRAM : Haath pakad tight . Pakad pakad !! ## VIKRAM : Pakad na , kya kar ra hai ! ## \nHypothesis: VIKRAM Jhumke snatch kar raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "286982f5-b967-44b8-b2d3-4582956cf33c", "original_id": null, "input": "Premise: MINAL : Report aa gayi Papa ki ? ## LAJWANTI : Haan aa gayi ... sugar thodi badi hui hai lek in toone ph one kaise kiya ? ## MINAL : Kai se kiy a m atl ab - kya ma tla b mamma ? ## MINAL : I'm not feeling well , Andrea thoda paani garam kar na please ... ## ANDREA : Coffee ? ## \nHypothesis: LAJWANTI MINAL se poonchh raha hai ki usne call kis reason se kiya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "cf283e14-34fe-4adb-b3a9-ec53fb69910b", "original_id": null, "input": "Premise: RANI : Kitna sunder lag raha hai ## VIJAY : Real wala iss se bhi sunder hai ... dekhna ## RANI : Main kahan se dekhungi ## VIJAY : Honeymoon pe ... paris hi to le ke jaunga tumhey ## RANI : Ainweyi ... deengey maartey ho ## VIJAY : Sach ... mainey to poora plan kar liya hai ... aur pata hai paris sab se achha kab lagta hai ? ## RANI : Kab ? ## VIJAY : Jab tum aur main wahan hongey ## \nHypothesis: VIJAY ne paris jaane ka poora plan kar liya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "4959194f-e01b-49df-9d7f-45a022e96ce0", "original_id": null, "input": "Premise: MRS.KAPOOR : --Poora laal ho gaya hai par Thank God , koi nishaan nahin aaya , plastic surgery karani padti toh ? ## MRS.KAPOOR : Okay .. Bye . ## MR.KAPOOR : Chartered flight nahin hai , chali jayegi . ## MRS.KAPOOR : Punctuality ke liye nobel prize hota , to tumhare dad ko do teen to mil he jaate . ## MR.KAPOOR : Rahul , serious hone ka time aa gaya hai , Ab kaam par concentrate karna shuru karo . Tum jo bhi chahte the , woh sab kuch tumhein diya gaya hai . And I'm still waiting for that GOLD !! (gives him a cold pat on the shoulder) Have a good Christmas . ## MRS.KAPOOR : Oh , main to bhool he gayi baby , Merry Christmas . ## MRS.KAPOOR : Get a hair cut . ## \nHypothesis: Rahul jo bhi chahte tha, MR.KAPOOR ne use woh sab kuch diya.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "b05d573f-b60e-4aff-95e9-ab8ebbf96c78", "original_id": null, "input": "Premise: RAHUL : Mom ko bola ki aap garage pe the ? ## FATHER : Mujh se ek baar baat toh kar leta ? ## RAHUL : You're unbelievable .. Kitne ghatiya insaan ho aap . ## FATHER : Rahul .. I'm sorry-- ## RAHUL : Haan zaroor ! ## FATHER : Rahul , Itna aasan nahin hai sab kuch samjhana .. Main Sunita ko .. ## MOTHER : Kidhar te tum ? ## RAHUL : Maa . Please . Chacha is here .. ## \nHypothesis: Dad maafi maang rahe hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "a9611887-e8c3-4be2-81d7-cac92e41e9cd", "original_id": null, "input": "Premise: MEERA : Dickey kholna , please . ## RANVEER : Tune promise kiya tha hamesha handbag main rakhegi . ## MEERA : Par aaj toh tum ho na saath mein . Ranveer looks at her . Hurt in his eyes . ## MEERA : Sorry . I ... I didn't mean it that way . Just that ... bahot heavy hai yaar ... ## MEERA : Yes , Amma ... I'm fine ... ## \nHypothesis: MEERA is not fine", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "a1b9dedf-5cb5-4da0-9321-100f7eb9ff50", "original_id": null, "input": "Premise: KHALIL : Ek aur baar . tees second ki training hai na teri ? Phir se kar ! ## KHALIL: : Gadhe ! yeh tere haath kyun kaap rahe hain . Darpok ! ## SAFIRINI: : Khalil ! ## SAFIRINI: : Darre hua mat rehna , ab hum daraayenge apne plan ke mutabik chalna hain . Bas . ## SAFIRINI: : Chal phir se koshish kar ## SAFIRINI: : Himmat rakh Mansoor . Issi din ki tayyari itni shiddat se ki hain tune . himmat . ## \nHypothesis: Mansoor ne shiddat se tayyari ki hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "b3e1daa7-c39d-4e5f-91f6-39740a17d76d", "original_id": null, "input": "Premise: RECEPTIONIST : Nahi Sir busy hain - voh nahi le saktey brief aapka ! ## FALAK : Lekin subah toh unhone kaha tha ki - ## RECEPTIONIST : Nahi voh mujhe pata nahi tha Sir conference le chuki ha in doosri party ki - ## ANDREA : Kyun ? What exactly do you mean ? ## FALAK : Nah i k oi nah i m aa n r aha - haa n aunty - koi bhi chal jaayega abhie toh - Ji aun ty - haa n a ap bul a laiyye unko ! ## \nHypothesis: FALAK ne aunty ko Sir ko bulane ko kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "e83634fe-1603-4a21-b6a2-8bc58e26166d", "original_id": null, "input": "Premise: RAHUL : Aise hi chala jayega .. Bina kisi se baat kiye . ## RAHUL : Mom ko humari zaroorat hai Arjun . ## ARJUN : Mom ko humari nahin tumhari zaroorat hai . ## RAHUL : Mujh se toh woh baat bhi nahin kar rahi .. Aur shaayad kabhi nahin karengi . ## ARJUN : Nothing you can do will ever disappoint her . ## RAHUL : What if I told you I have lied to her my whole life , and I've no interst in Tia or any other girl for that matter ? ## RAHUL : You don't have to say anything .. Just stay back a little longer .. ## ARJUN : I can't . I need sometime . ## DHARAMENDRA : Taxi aa gayi hai . ## \nHypothesis: Mom RAHUL se baat bhi nahin kar rahi.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "c19fceaf-601f-4850-8d4f-ccee272255e5", "original_id": null, "input": "Premise: RANI : honeymoon pe ... pata hai ... eleventh se jama kar rahi hoon ... aur ab to joint account kholna hi hai ... ## FEMALE CASHIER : Goa ? ## RANI : Arey nahi ... foreign trip hai ... Paris aur amsterdam ! fifty fifty kiya hai .. Paris ka main de rahi hoon ... aur amsterdam ka voh ... baaki shopping ke liye bacha ke rakha hai ... ## FEMALE CASHIER : To phir kab ? ## RANI : Bus ... one month mein ... shaadi ke next day hi chaley jaana hai humney ## \nHypothesis: RANI Goa jaa rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "0ee01a35-efe2-4b6e-9323-08d927671abd", "original_id": null, "input": "Premise: RAGHAVAN'S FATHER : wo maheene me gadbad ho gaya .. maine socha , aapne bola , pahla last toh paanchva monday .. ## RAGHAVAN'S FATHER : Paon chhuo Sir ke .. ## SWAMI JI : khush raho beta .. ## RAGHAVAN'S FATHER : Aao baitho ## SWAMI JI : Aao baitho ## RAGHAVAN'S FATHER : ye chashma kyon pahna hai ? style maar rahe ho kya .. utaaro ise .. utaaro .. hello ## RAGHAVAN : Nahi .. ## RAGHAVAN'S FATHER : Hain ! ## RAGHAVAN : Nahi .. wo soya nahi hun .. ## RAGHAVAN'S FATHER : soye nahi ho .. ## RAGHAVAN'S FATHER : Pahan lo .. ## RAGHAVAN'S FATHER : Aage aao .. Raghavan stares at father . ## RAGHAVAN'S FATHER : Neend kaise aayegi .. jao baitho wahan .. aata hun main , abhi baat karta hun tumse Raghavan sits in the corridor alone .. his father's voice is heard . ## RAGHAVAN'S FATHER : Kuchh samajh me nahi aa raha . bahut samjhaya maine .. Police wala hai , khud nasha karta hai .. ek din pakda gaya toh aapko andaaza nahi hai kya hoga .. suspend karenge , jail me daal denge .. beizzati hogi , media ka pata hi hai aapko kya karta hai aaj kal .. bachpan me maine na isko na wo gaanja peete hue pakad liya tha .. maine itna maara isko .. ## RAGHAVAN'S FATHER : itti moti belt thi chamde wali , laal kar diya maine iska badan , maar maar ke .. haath nahi lagaya isne uske baad .. ## \nHypothesis: RAGHAVAN soya nahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "d6d808c2-d30e-4e23-9210-46c72be470f9", "original_id": null, "input": "Premise: NEERJA : Go ! Mai aa jaaoongi , plane se niklo ! ## SANJANA: : Come ! ## NEERJA : Sanjana , tum jaao mai baaki passenger ko chute tak laati hoon ## SANJANA: : Dont be silly Neerja ! jaldi chalo ## NEERJA : Sanjana ! Please ! ## \nHypothesis: NEERJA silly hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "fea980f0-2cfc-4777-be49-5b4aa9bc930f", "original_id": null, "input": "Premise: FATHER : Papa aap betho .. Sunita !! ## MOTHER : What does she think by getting these cookies she'll .. Bahar nikal , mere ghar se .. Bahar !! ## BOOBLY : Bhaiya main rokun kya ? ## WASIM : Tu please mere baap involve mat ho ! ## RAHUL : Maa , kisi ko lag jayegi .. Neeche rakho .. Maa .. Tujhe ek kaam bola tha .. Paanch minute ke liye mummy ko andar nahin rakh sakta tha .. ## ARJUN : Itni der se rok rakha tha yaar , Kitchen mein hi nikal jaata .. ## GRAND DAD : Mere birthday par is gobar ko kyoun bulaya .. ## FATHER : Chowdhary kaka main maafi mangta hun aapse .. Please-- Is ghar mein hum mehmaanon se tameez se baat kar sakte hain ya nahin !!! ## MOTHER : Shakal mat dikhana mujhe apni-- ## GRAND DAD : Mehmaan ki maa ki ! ## \nHypothesis: BOOBLY WASIM ka baap hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "015c0420-cec4-4285-b74c-4e302f5595ac", "original_id": null, "input": "Premise: BABBAN : Khalu , haath doh .. Jaldi ..! ## KHALUJAN : Na .. Teim nahi hai .. Tu ja beta .. ## BABBAN : Nahi Khalu .. haath doh ! ## KHALUJAN : Meenari masjid ke peechhe kabrastan mein .. saadhe teen baje theek .. Khuda hafiz .. ## BABBAN : Arrey Khalu .. Suno toh ! ## \nHypothesis: KHALUJAN ne BABBAN ke saath jaane se inkaar kar diya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "184ee66d-39c3-4099-8ef7-7f9b05b9bac1", "original_id": null, "input": "Premise: ASHWIN : Hello .. ## REEMA : Hello Ashwin . ## ASHWIN : I am at work . ## ASHWIN : It's fine . Tell me ? ## ASHWIN : Mohanty ko phone lagao . ## REEMA : Tumhe wo dawai ka naam yaad hai . Dr . Banerjee ne prescribe ki thee , mere migraines ke liye . Subah se unka phone off hai . ## ASHWIN : Relpax .. ## REEMA : Relpax ! yeah !... Mujhe yaad hi nahin aa raha tha .. Thanks . ## ASHWIN : Mujhe laga tha ki mere jaane ke baad tumhare migraines ruk gaye hain . ## REEMA : Ruk gaye thay .. Phir shuru ho gaye . ## ASHWIN : Ijaazat film dekh rahi ho ? ## REEMA : Hmm . ## ASHWIN : Listen I have to go .. You take care .. ## ASHWIN : What's wrong ? ## VEDANT : His BP's gone dangerously low .. ## ASHWIN : Dr . Swamy . ## \nHypothesis: subah se Dr. Banerjee ka phone off hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "6516e32d-e81b-4775-a67a-f0032a4164bd", "original_id": null, "input": "Premise: PATHAK : Jhonta ! JHONTA ! ## JHONTA : 3 din se nahin aaye ? ## PATHAK : Bola tha na yahaan beedi mat laana ? Kitaabein hain . ## JHONTA : Hum nahin .. Netwa laaya tha ... ## JHONTA : Didi bhi nahin aayi itne din se ... ## PATHAK : Abhi bhagg yahaan se .. ## \nHypothesis: PATHAK ne bola tha yahan beedi mat laana", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "8a8d2ab6-1d8b-40db-8eda-c63dbb1d6bd5", "original_id": null, "input": "Premise: GOGIA : Ye illegal hai . ## SANGA : Aur aap jo sab kar rahe hain phone par wo sab legal hai ? ## GOGIA : Phone tapping kisi bhee court mein saboot nahi ban sakti . ## PAUL : Aur Public court mein ? Kaun sa paper aata hai aapke yahan ? TOI ya HT ? ## \nHypothesis: GOGIA ka Phone tap ho raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c320ea55-6edd-4878-8d27-037fba1ea8e5", "original_id": null, "input": "Premise: NEERJA : Passengers en route to Frankfurt and New York please remain seated . For those deboarding at Karachi , thank you for flying with Pan Am . ## TINA: : His name is Carl Malone . ## NEERJA: : Kaun ? ## TINA: : Arey that cute guy in business class 13J . ## NEERJA: : No issues with the flight . ## IMRAN ALI: : Asalaam walekum . Had a good flight ? ## TINA: : Of course Imran bhai . ## NEERJA: : Tumhe kab se humaari itni fikr hone lagi Imrani Ali . I know why you are being so sweet . ## IMRAN ALI: : Neerja humaari humdardi ka mazaak banaa rahi hain aap . ## NEERJA: : Arey aap toh naraaz ho gaye ## IMRAN ALI: : Naaraz aur tumse ? Ho hi nahi sakta , thoda kaam bhi kar liya jaaye ? Kya khayal hain ? ## \nHypothesis: Imran Ali ko NEERJA ki bahut fikr hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "5ac4b9e6-d676-4655-bdac-2ba18fc8f975", "original_id": null, "input": "Premise: MISRA : Good afternoon ... Vicky Thakur murder mein mere paas ek ajeeb tip aayi ... ## MISRA : Vicky ka killer kisi official vehicle mein bhaaga tha ... Aajkal Pakisatn mein hai ... Kahin aapke dream project ka hissa toh nahi hai ? ## ASHWINI : Kaunsa dream project ... Jo tumney bandh karva diya ... ## MISRA : Aapne bandh kahan kiya hoga ... Thoda toh main bhi jaanta hoon aapko ... ## ASHWINI : Thoda jaantey ho ... Poora nahi ... ## \nHypothesis: MISRA ASHWINI ko poora jaanta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "35c3aa24-27d6-4a08-aa94-25eaaa798fc6", "original_id": null, "input": "Premise: TRAINER : Kaise ho ? ## SHAHID : Janaab , thik .. ## TRAINER : Bahut Accha . Jawaan mard ko tandurust hona chahiye . Zakhm sukh gaya tumhara . ## TRAINER : Chai ? ## TRAINER : Tumhare saath jo rahta hai ladka ? ## SHAHID : Rafiq ... ## TRAINER : Baahar hai ? Shahid nods . ## TRAINER : Bulao usse . ## \nHypothesis: Budhe insaan ko tandarust rehna chahiye", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "537f3d1b-be25-492e-9de9-c746e70627da", "original_id": null, "input": "Premise: SHAHID : Pahle andar to jaayein .. ## RAFIQ : Kahan se ho ? ## SHAHID : Bombay . Shahid naam hai mera ... ## RAFIQ : Hum ko lag gaya tha . ## SHAHID : Aap ? ## RAFIQ : Gorakhpur . Rafiq ... ## SHAHID : Main jagah nahin , wajah pooch raha tha ? ## RAFIQ : Sab abhi jaan loge ? ## SHAHID : Aap hi ne kaha tha hum partner hain . A man walks out to the gate and yells at Shahid and Rafiq to go and sit with the rest of group . ## \nHypothesis: SHAHID Bombay se hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "3f5a4755-29aa-4f39-a06b-e9bc606247f3", "original_id": null, "input": "Premise: SHAHID : Hello .. ## SALMA : Haan Vakil Sahab . ## SHAHID : Hamara case aaj asaan ho gaya . ## SALMA : Bhai aaj toh court date nahin tha . ## SHAHID : Jisne woh maps diye the usne aaj maan liya America mein ki usne diya tha maps atankwadiyon ko . ## FAHIM'S WIFE : Bhai . Yeh aapke hissab se achcha hai na ? ## SHAHID : Haan . Teen May aur sab thik . She starts weeping . ## SHAHID : Yeh kya ? Mujhe toh laga tha ki tum zor zor se hansogi . Achcha saath mein hansne ki bhi koshish karo . ## \nHypothesis: FAHIM'S WIFE ko laga ke SHAHID zor zor se hansega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "19f3b65a-131e-477f-acf5-4be60c9b9e4b", "original_id": null, "input": "Premise: RANI : Woh Chaddha uncle keh rahein the ki main unke wahan job kar loo jab tak shaadi hoti hai tab tak , unko bhi help ho jayegi ... jab se mini gayi hai koyi hai nahin unka haath bataaney ke liye ## RANI : Kar loon kya ? Shaadi ke baad chhod doongi ## VIJAY : kya zaroorat hai job wob karne ki , ## RANI : real job nahin hai ... khaana achha bana leti hoon to unhoney bola ... aisey hi ... ## VIJAY : To aisey hi ... merey liye bana na ... mainey roka hai ... aur shaadi ke baad ghar baith ke cooking hi to karegi ... aur phir mummy ko bhi theek nahin lagega ... ## RANI : achha ... mana kar doongi ## \nHypothesis: Chadhha uncle ki help karne ke liye kaafi log hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "e3275e56-d98c-4106-a14d-71f50216c26a", "original_id": null, "input": "Premise: ASLAM : Paanch minute ... ## ASLAM : Pack ... Main zara halka hokey aata hoon ... ## ASLAM : Ghanta ... Chota Aslam kaagzi ghulab nahi soonghta ... Usko live ki aadat hai ... ## ASLAM : Parcel aa raha hai ... ## \nHypothesis: ASLAM wanted to go to loose weight. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "f4fcd3fe-55bb-4498-8f4d-48ffeeecca22", "original_id": null, "input": "Premise: BEGUM PARA : Mubarak ho .. ## KHALUJAN : Jee ? ## BEGUM PARA : Nawabon kee nawabiyat se toh hum wakif thay magar roohaniyat pehli baar dekhi hai . Tashtari ke peechhe woh parinde hamein bhee dikhai diye thay . Saraapa dil hain aap huzoor , sirf dil . ## KHALUJAN : Jee .. Main .. Ab main kya ... ## \nHypothesis: BEGUM PARA ne itani taarif kar di ki ab KHALUJAN kuchh keh nahin pa raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "6593c76a-52e8-4cca-83aa-3390baefd76c", "original_id": null, "input": "Premise: PINKY : Didi ? ## PINKY : Didi , please ... please hamaari help karo ... Hum log bahot problem mein hain ... ## PINKY : Please , Didi . Main aur mera huaband ... Hamein saath le chalo ... ## MEERA : Sorry . ## PINKY : Didi , please , Didi ... ## MEERA : Side hato . ## \nHypothesis: MEERA ne PINKY ko sorry kahan aur saath le jaane ko taiyar ho gaya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "57dc51ff-7f41-4aed-8df8-1dc1bf8e8532", "original_id": null, "input": "Premise: EVERYONE : Hello beta ## RANI : Itna andhera kyu hai ## DAD : Arey beta wahi dilli ki bijli ka haal , 12 ghante se gayee hui hai , invertor pe laptop chal raha hai ## MOM : Achcha beta tu verma aunty ko milne kab jaa rahi hai ? ## RANI : Bas aaj jaa rahe hai , main aur vijaylaxmi ## MOM : Usko saath le jaa rahi hai ??? syaapa ## RANI : Mummy ! Kaafi sweet hai woh , lagti hai hippy type ... par hai nahin ... ## VIJAYLAXMI : Ready ? ## \nHypothesis: 12 ghante se Delhi mein power gaya hua hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "feb35468-d9a6-4908-bd8e-adf5e729805f", "original_id": null, "input": "Premise: JUDGE : Aap ki report kehti hai ki adalat mein Maa Baap ko qatil saabit karna mushkil ho sakta hai . Mushkil ? Matlab .. namumkin to nahi hai na bhai ? Bakwas hai aapki ye closure report , nahi accept ho sakti . Parents pe murder ka charge lagaiye or trial shuru kijiye . ## JUDGE : Lunch time hua ki nahin ? ## PAUL : Vedant Sir , hamaari karni yahin tak ki hai . Sanga Saab , ab geind aapke paaley mein hai . ## PAUL : The ball is in your court ! ## \nHypothesis: PAUL is playing ball. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "129319b8-b562-45ed-bb2a-bb9dd4300926", "original_id": null, "input": "Premise: MRS.KAPOOR : Kitna old fashion hair style hai tumhara , new hair cut kyoun nahin try kate .. Go to the Vidal Sasoon salon tomorrow .. Aur thoda product use karo .. You'll get some texture . ## MR.KAPOOR : --Tumhari maa ko bahut pata hai , MBA kiya hai usne hair styling mein . ## MRS.KAPOOR : Kaash kiya hota to tumhara kuch kar pati ? ..Kab se ke rahi hun , Soonawalla's ki tarah Hair transplant karva lo , already 55 ke lagte ho ! ## MR.KAPOOR : --main 57 ka hun . ## \nHypothesis: MR.KAPOOR 65 years ka lagta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "ea97dd44-f0db-460c-8baa-44d9ad5d36b8", "original_id": null, "input": "Premise: SAMAR : Arey , Jijaji aap bhi ? ## PREM : Papa ka hai , raat ho rahi thi toh main le aaya . ## PREM'S FATHER : Le beta rakh le . ## PREM : Rahan do , Papaji . ## SAMAR : Rakh lo , Jijaji . Mere liye hee kuch khareed dena . ## \nHypothesis: PREM'S FATHER SAMAR ke Jijaji hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "f4c28414-71b0-4a1f-852c-07118e8fa3d1", "original_id": null, "input": "Premise: ARIF : Kaam kaisa chal raha hai ? Shahid stays quiet as they walk . ## ARIF : Accha nahin ? ## SHAHID : Paisa , paisa , paisa , hai rey paisa ! ## ARIF : Achcha hai na . ## SHAHID : Jab yeh chhotapan kucch logon ki zindagi badal sakta ho ... They continue to walk . Shahid is anxious to say something . ## ARIF : Kya ? ## SHAHID : Main lawyer isliye nahin bana . ## SHAHID : Saari galati meri hai . ## ARIF : Tum khud ki practise karoge ? ## SHAHID : Haan . ## ARIF : Main personal loan leta hoon . Tu start kar .. Dekhenge jo hoga . ## SHAHID : Bhai ..... ## ARIF : Chhup ... Arif does not answer as they keep walking . ## ARIF : Bar license kab milega ... ## SHAHID : Kal . ## \nHypothesis: SHAHID is anxious", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c498396d-1ff0-40a8-9c0f-0680d60fd825", "original_id": null, "input": "Premise: SHAHID : Ammi .. Ammi .. Mother comes out ... ## SHAHID : Ammi , aaj custard banao na .. ## SHAHID : Aap kal aaiye . ## VOICE : Sir , kal hum log ko Poona jaana hai . Abhi mil lo na .. ## SHAHID : Theek hai . Aata hoon . ## SHAHID : Ammi darwaza band kar lo . Main do minute mein aa raha hoon . ## \nHypothesis: SHAHID wants to eat custard.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "9e755333-25a9-4c70-a2ef-40ebf07eb90f", "original_id": null, "input": "Premise: FATHER : Papa , kya kar rahe ho aap ! You're not allowed ! ## SASHI CHACHA : --It's fine bhai sahab .. Ek chota sa sip thha ... Though I must say papa , I'm very proud of you .. aapne smoking chhodh di , bahut badi baat hai . ## GRAND DAD : Discipline , beta discipline . ## SASHI CHACHA : Toh boys aur kya chal raha hai ? ## ARJUN : Arrey bahut kuch .. Dadu ki party pe Rahul ki shaadi tai ho gayi .. Ek chai wali ke saath .. ## RAHUL : Haan saale zaroor ! ## ARJUN : Maa .. Rahul ne Geet ke liye haan bol diya .. ## \nHypothesis: ARJUN ki shadi fix ho gai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "bdf6dad0-f368-4622-af41-aabe4e09d843", "original_id": null, "input": "Premise: NEELU : Bade excited hain tujhse milne ko . Naam bada badhiya hai , kaise pada , pooch rahe the ? ## NEELU : Bata ? ## TITLI : Mummy ko ladki ki umeed thi . Naam soch rakha tha . Muraad puri hui nahin , naam se kaam chala liya . ## TITLI : Milne jayenge gadbad nahi hogi ? ## NEELU : K u c h n a h i n h o t a . Papa u s k e Faridabad wale office gaye hain . Mummy gharpe rehti hai pura time , b h a i behen hai n a h i . ## NEELU : Wife k o bachcha bachcha karte doctron ke chakkar kaatne se time nahi . ## NEELU : Boli nahi tune kisiko kabhi , naam change karne ko ? ## TITLI : Surat se seerat chhupi rehti hai . ## \nHypothesis: Use TITLI ka naam bada badhiya laga. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "b1804764-ba91-47e9-a277-d7d93fea5749", "original_id": null, "input": "Premise: RAHUL : Dadu yeh maal kahaan se laye hain ? Fuuuuck man ! ## ARJUN : Saale tu jitna perfect banta hain utna hai nahin . Tu Mom dad ka favorite bana kaise ? ## RAHUL : Mom dad hum dono ko equally pyaar karte-- ## ARJUN : --Kaminey , seedhe mooh toh bol de . ## RAHUL : You know what ... main teri jagah ek second mein le loon ... ## ARJUN : Yeah right ... ## RAHUL : Arrey jitne taane maar lein , atleast woh tujhe jaante toh hain . Mujhe toh woh jaante bhi nahin . ## RAHUL : Tujhe ek baat bataun . jo iss ghar mein maine kisi ko nahin batayi . ## \nHypothesis: ARJUN RAHUL ki jagah ek second mein le sakta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "0cbadfb4-6b51-4a96-86ea-af911b2803d1", "original_id": null, "input": "Premise: RAJPAL : Doctor ki botal se aur sharaab pi .. Phir .. Kanhaiya ... ## DR SWAMY : Phir kya hua ? Kanhaiya kahan tha ? ## RAJPAL : Kanhaiya Shruti baby ke room mein gaya . Woh vahin padi thi . Main .. Main bahot dar gaya . Par usne .. Usne .. ## RAJPAL : Kaat dala ! Kanhaiya ne Shruti baby ka bhi gala kaat dala . ## \nHypothesis: Kanhaiya Shruti baby ke room mein gaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "e6574da1-9997-4966-aafc-de8eff832ae0", "original_id": null, "input": "Premise: ARIF : Phir se bol .. phir se bol .. Kitne ki ? ## ARIF : Ek baar ... phir se bol . ## SHAHID : Haah . 12 , 000 ## SHAHID : Sir , meri naukri lag gayi . ## WAR : Kya baat hai . Mubarakaan . ## SHAHID : Law mein admission le raha hoon . ## WAR : Mashallah . Law kyon ? ## SHAHID : To Help people . ## WAR : Nahin Lawyer ka kaam hai client ko raasta dikhana , jahan woh apni madad khud kar sakein . ## SHAHID : Haan . ## WAR : Har imaandar lawyer apne imaandari mein ek jaisa hoga par har ek beimaan apni beimaani mein alag . Be a people's lawyer , Shahid . Tum mein kabiliyat hai . ## SHAHID : Shukriya , bhai jaan . ## WAR : Achcha kaam hai yeh , Shahid agar tumhein parwaah hai galat aur sahi ki . ## SHAHID : People's Lawyer . ## \nHypothesis: SHAHID ki naukri lag gayi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "d680017f-b429-4d99-b55f-72a1333d729f", "original_id": null, "input": "Premise: NEELU : Tension k y o n lera h a i ? Le bhi liye toh de denge paise wapas . Bol toh rahe hain . ## TITLI : Maan ke lorre hain . Ek baar haath lag gaya na cash , wapas na aana . ## NEELU : Ye kya hai ? ## TITLI : Kya ? ## NEELU : Haath mein tere ? ## TITLI : Gift . Vaishnodevi se . Parivaar ki jimmedaari hai , rakhle mere baad tere pe aani hai , bol ke diya tha Vikram ne . ## \nHypothesis: TITLI ke Haath mein Gift hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "f21a515c-175e-40d0-a436-8741ceb06e5d", "original_id": null, "input": "Premise: RIANA : Change wapas lene aaye ho ? ## RAHUL : Nahin .. I'm just ... going up . ## RIANA : Tum bhi (does the lose screw action) ## RAHUL : Sorry ? ## RIANA : Psychologist ke paas ja rahe ho ? ## RAHUL : Nahin . ## RIANA : Kaun sa floor ? ## RAHUL : Thirteenth . ## RIANA : Are you sure , is building mein 13th floor nahin hai ? ## \nHypothesis: RIANA ki baat RAHUL samajh nahin paya, isliye usne sorry kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "1cffb4e0-06df-44a5-9888-852b88ca7b7e", "original_id": null, "input": "Premise: BABBAN : Lo .. Ek ghante baad ek maal gaadi aayegi . Rok kar usmein chale jaana .. ## JAAN MOHAMMAD : Begum kahan hai ? ## BABBAN : Wahan .. ## BABBAN : Bag yaheen .. ## BABBAN : Oye .. Lock ka number kya hai ? ## JAAN MOHAMMAD : Nau doh gyarah . ## LIYAQAT : Kum toh nahi hain na ? ## \nHypothesis: lock ka number 111 hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "89c8c347-0048-4235-acc6-4d9b7d8f628c", "original_id": null, "input": "Premise: PREM : Dukaan ke bhao lagwa lo , Papaji . ## PREM'S FATHER : Dekh lo bhaiyya , chao toh tujhe hee raha geet sangeet se . ## SANDHYA : Acchha Mummy . Achha bua . ## PREM : Ruko main chorr aata hoon tumhein . He follows Sandhya . ## \nHypothesis: PREM is PREM'S FATHER's bhaiyya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "93654c07-255e-44ec-984a-4b82aeb49acd", "original_id": null, "input": "Premise: RITA : Ruk jao 5 minute .. ## PUSHPA : Kya hua ? Kahan ? Koi aaya hai ? Kya ? Arre kya haath nacha rahe ho ? Hain- kya ho gaya- saanp ? Saanp aa gaya ? ## MOTHER : Gardan mein kuch ho gaya ? Phir- kaan mein- dikhao .. Phone ? ## MOTHER : Kisko phone karna hai ? Doctor ko ? Arre kya ho gaya ? Likh ke bata do .. ## RITA : Kya hua Bauji ? Sab theek .. Bauji makes a resigned gesture . ## \nHypothesis: Mom pooch rahi hai kisko call karna hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c7039849-93da-44b4-8ded-0cb66b255f9e", "original_id": null, "input": "Premise: RAHUL : --Fork . ## RIANA : Here ... Aur kyounki tum ne mujhe yahan rehne diya , I'll tell you a special trick . Apni gaadi mat leke jaana , har ladki ko kabhi na kabhi apne boyfriend ko ghar chodna acha lagta hai . (making it sound more interesting) ## RIANA : ..And phir tum wohi kar sakte ho jo tumhari ex girlfriend ne tumhari car mein kiya tha . ## RIANA : Sun Rahe ho ? ## RAHUL : Nahin ! ## RIANA : Tum phone kar rahe ho ?? ## RAHUL : Not a chance . ## \nHypothesis: RAHUL ne RIANA ko yahan rehne diya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "328ebb8c-1988-4a45-9035-ce4a1e674912", "original_id": null, "input": "Premise: ZOYA : Come on Moin ... Itne dramatic mat bano ... ## MOIN : Drama ? Shaadi ko teen saal ho gaye ... Bachcha nahi hua ... Ab sab mujhe shaq ki nazar se dekhne lage hain ... Kaise bataoon unhe ke bachcha paida karne ke liye meri biwi ke paas nau continuous mahine nahi hain ... ## ZOYA : Bas yeh last case hai ... ## MOIN : Pichli baar bhi yehi kaha tha tumne ... ## ZOYA : Bye nahi kahoge ...? ## MOIN : Wohi toh keh raha hoon ... ## \nHypothesis: ZOYA aur MOIN ki Shaadi ko teen saal ho gaye.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "2e9dfdf6-5522-4240-aafa-1986d7060111", "original_id": null, "input": "Premise: ISHAAN : Yahan ? Yahaan kholenge sports ki dukaan ? Is tabele mein ? ## OMI : Chii Govi !! Abhi itni baans aa rahi hai to baad mein kya hoga !! ## HASSAN : Aapna budget mein yehi site available hai govi bhai . Thoda jeb kholo , budget badhao ..first class cheez dikhata hun . ## HASSAN : Maalik dekhne ke kya paise padh et hain .. Baad mein nakki kar lean . ## \nHypothesis: ISHAAN aur HASSAN ko site pasand nahin aayi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "1cbc668b-2948-4e0f-b9c7-f3a841a27184", "original_id": null, "input": "Premise: WIFE : Aye le lo na glow wala .. ## HUSBAND : Achcha tenu raati dikhda nahi ? ## WIFE : Achcha phir aye le lo , monkey wala ## HUSBAND : Monkey wala ? Main tenu monkey dikhda ? ## WIFE : Achcha phir aye le lo , check wala ## HUSBAND : Achchaaa aye check wala te shirt stripe wali ... ## \nHypothesis: Wife husband ki shopping mein help kar rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "5e343e6f-957b-4327-b980-7b78440e82ff", "original_id": null, "input": "Premise: MEERA : ...please kuchh help kijiye . ## SATBIR : O ! Ahn Re ! ## BIHARI MIGRANT : K ... kaun ? Kya hua ? ## SATBIR : O Bihari ! Koi lugaayi aayi ke ? ## BIHARI MIGRANT : Koi nahi aaya hian toh . Bas aap du log aaye hain . ## FAUJI : Batti kaise on hui baahar ki ? ## BIHARI MIGRANT : Woh ... pesaab ke liye gaye the . ## BIHARI MIGRANT : Mehraru hai maalik . ## BIHARI MIGRANT : Pul ke us taraf thana hai . ## MEERA : Police mili hui hai . Gaon mein koi ...? ## BIHARI MIGRANT : Sarpanch hoga . Unke paas jaaiye . ## MEERA : Aap le chalenge ? ## BIHARI MIGRANT : Hum baahar waale hain , Madam . ## \nHypothesis: MEERA bahar wala hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "09d6140c-f875-4ad8-bcc2-469c59c05739", "original_id": null, "input": "Premise: RIANA : Life itni complicated kyoun hai mum ? ## RIANA : --I can't believe aapko uski feelings ke baare mein mujh se zyaada pata tha . ## NICOLE : It's going to be okay . ## PHIL : Open the door . Main jaanta hun tum andar kya kar rahe ho ## \nHypothesis: RIANA ko life complicated lagti hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "83ae6b0c-7f56-40dd-964c-decef6043d55", "original_id": null, "input": "Premise: APU : Kaun se school mein tha ? ## ROHAN : Bishop Cotton . ## APU : Kahan hai ? ## ROHAN : Shimla . ## APU : Tabhi tu pahadi jaisa dikhta hai ... ## AMBER : Rahne vaala to Jamshedpur ka hai na be ... ## APU : Thanda bahut lagta hogi tumko ? ## ROHAN : Yahaan ? ## APU : Hahn ... ## ROHAN : Kyon ? ## APU : Kyonki tu Shimla se hai ... ## AMBER : Ye Jamshedpur ka hai na be ... ## APU : Pata hai ... mazaak karrra Motu ... joke ... situp ... ## SHIV : Bolo motu ko joke nahin samjha ki ... ## \nHypothesis: AMBER pahadi jaisa dikhta hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "e66f6179-8760-4467-98bc-1f4f244a8481", "original_id": null, "input": "Premise: MOM : tujhey itti der se phone kar rahey hain ... yeh kaun hai ? ## RANI : Mummy yeh meri friend Laxmi ## MOM : Laxmi ? ## DAD : namaste namaste ## VIJAYLAXMI : Daddy ! Namaste ... ## DAD : Call me ashwini , actually ashu ## RANI : Indian hai ... thodi si ## DAD : Dikh raha hai ## MOM : Beta hum chalte hai , tum achche logon ki company mein rehna , (after a pause) tu aankhein kyun nahin jhapak rahi ## RANI : Nahin nahin ... jhapak to rahi hoon ... main to aapko aisey hi ... dhyaan se dekh rahi hoon ... ## MOM : Dhyaan se to yeh dekh rahey hain ... ## \nHypothesis: Mom RANI ko dhyan se dekh rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "68219953-7d66-4e0c-9f02-860649388b88", "original_id": null, "input": "Premise: ASLAM : Paanch minute ... ## ASLAM : Pack ... Main zara halka hokey aata hoon ... ## ASLAM : Ghanta ... Chota Aslam kaagzi ghulab nahi soonghta ... Usko live ki aadat hai ... ## ASLAM : Parcel aa raha hai ... ## \nHypothesis: Chote ASLAM ko live ki aadat nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "79e5a522-b00b-4f71-a022-2ada78799871", "original_id": null, "input": "Premise: ISHAAN : Par Prashant bhai khade khade teen teen back to back chakke maar diye .. ## DOCTOR : Kuch log god gifted hote hain Ishaan .. tez raftaar se aati hui gend bhi unhe footbaal ki tarah dikhti hai .. Ab aap ise hyper reflex bolo , hand eye coordination bolo .. ya phir upar wale ki den . ## DOCTOR : Kyun beta cricket khelne mein mazaa aata hai .. ## ALI : Nahi .. ## \nHypothesis: DOCTOR ne kaha ki ISHAAN god gifted hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "5ca01b67-ac58-4899-a782-c34d3faf028a", "original_id": null, "input": "Premise: FATHER : Papa , kya kar rahe ho aap ! You're not allowed ! ## SASHI CHACHA : --It's fine bhai sahab .. Ek chota sa sip thha ... Though I must say papa , I'm very proud of you .. aapne smoking chhodh di , bahut badi baat hai . ## GRAND DAD : Discipline , beta discipline . ## SASHI CHACHA : Toh boys aur kya chal raha hai ? ## ARJUN : Arrey bahut kuch .. Dadu ki party pe Rahul ki shaadi tai ho gayi .. Ek chai wali ke saath .. ## RAHUL : Haan saale zaroor ! ## ARJUN : Maa .. Rahul ne Geet ke liye haan bol diya .. ## \nHypothesis: SASHI CHACHA is very proud of Papa", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "23d8f235-62cd-4176-afa9-ada8fa1aba5f", "original_id": null, "input": "Premise: WIFE : Aye le lo na glow wala .. ## HUSBAND : Achcha tenu raati dikhda nahi ? ## WIFE : Achcha phir aye le lo , monkey wala ## HUSBAND : Monkey wala ? Main tenu monkey dikhda ? ## WIFE : Achcha phir aye le lo , check wala ## HUSBAND : Achchaaa aye check wala te shirt stripe wali ... ## \nHypothesis: Wife HUSBAND ko monkey bol rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "fda4d29b-7c27-4b9d-8202-5b28e32de3b0", "original_id": null, "input": "Premise: BENOY : Muchchad vahaan pe kya kar raha tha ? ## ROHAN : Picture dekh raha tha aur kya ? ## BENOY : Usne humko pehchaana hoga ... ## VIKRAM : Pata nahin ... ## BENOY : Usne complain kiya toh ? ## MUNINDER : Kuch nahin hoga ... jaldi chalo ... uske pehle hostel pahuch gaye to vo kuch nahin kar sakta . ## VIKRAM : Uske saath kaun thi ? ## ROHAN : Ma'am ... ## VIKRAM : Ma'am ... kabhi dekha hai ma'am ko ? ## ROHAN : Is she hot ? ## BENOY : Paagal hai ? Muchhad se bhi badi moochh hai uski ... ## MUNINDER : Tum log bakbak karne ke bajaai bhaagoge ? ## \nHypothesis: Muchchad wahan pe picture dekh raha tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "d00fb4fe-972b-4662-a28d-fbd71d778fbe", "original_id": null, "input": "Premise: BEGGAR BOY : Jaan Mohammad ? ## JAAN MOHAMMAD : Huh ? ## BEGGAR BOY : Idhar udhar kya dekh raha hai chootiye ! Bhaag nahi to train chhoot jayegi . ## JAAN MOHAMMAD : Haan Rafiq ? Nainital express .. Bareilly ke taraf .. ## RAFIQ : Jee bhai .. ## \nHypothesis: Beggar boy JAAN MOHAMMAD ko bhagne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "9e5dbbd8-b4b3-404a-b0f4-159fc93f7aaf", "original_id": null, "input": "Premise: BABBAN : Ho gaya intezam ? ## JAAN MOHAMMAD : Haan .. Kahan lana hai paisa ? ## BABBAN : Railway station platform number ek ki book stall pe aa ja .. 12 baje . ## JAAN MOHAMMAD : Theek hai . ## BABBAN : Aur sun . Abhi main Laal pull ke paas se bol riya hoon . Logon ko bhej ke time barbaad na kariyo apna . Aur time se pahunchiyo .. ## \nHypothesis: BABBAN abhi kaale pull ke paas hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "7aafa9b8-91d4-4db4-abe4-4ef4bba6a26b", "original_id": null, "input": "Premise: SHAHID : Thank you ... ## WAR : Waqt ka istemal karo . Saal khud kat jaayenge . Shahid nods ... ## SHAHID : All the best ... War hugs him . Shahid starts crying ... ## WAR : Main bas riha ho raha hoon ... Tumhein chhod nahin raha . Shahid looks at him as he walks into the distant burnout . ## \nHypothesis: War is crying", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "babc3284-aa73-4091-884b-0b5f858e39af", "original_id": null, "input": "Premise: ASHWIN : Tumne bulaya tha kya mujhe ? ## DATE : No .. ## ASHWIN : Maine drink .. piya tha na tumhara . ## DATE : Cheers .. ## ASHWIN : Arrey .. Cheers to karne do . ## ASHWIN : Chalo ander . Ek meri taraf se . ## DATE : Sorry .. Mujhe jana hai . ## ASHWIN : Kahan ? Uske ghar ? ## DATE : Haan .. ## ASHWIN : Hello .. Koi hai .. ## ASHWIN : Aspatal hai koi aas paas ? ## ASSISTANT : Please call for an ambulance . ## LOBBY MANAGER : Kya hua ? ## ASHWIN : Kya nahi kyon hua poochiye . ## LOBBY MANAGER : Kyon ? ## ASHWIN : Wahi purani ladai ki jadh .. Ladki .. ## LOBBY MANAGER : Kaun tha ..? ## ASHWIN : Main . ## \nHypothesis: ASHWIN ne DATE ka drink piya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "5f23a9a4-8cb6-4dac-a7d8-661a6f38cfe7", "original_id": null, "input": "Premise: DHANIRAM : Sorry sir .. ## DHANIRAM : Sir doosre kamre mein ek chhota sa glass phoota .. Aur aap din bhar ke thake haare .. gehri neend se jaag pade . Dhadsina .. ## DHANIRAM : Wahan doosre kamre mein do do qatl ho gaye aur maa baap ghode bech kar sote rahe ? Zara sochiye sir .. ## DHANIRAM : Sir ye mail dekhiye . Ismein ladki maafi maang rahee ki papa phir aisi galti kabhee nahi karoongi . Kya thee wo galti ? ## \nHypothesis: Dusre kamre mein 2 murder ho gaye aur parents sote rahe", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "db3a96e1-5cd7-4060-9600-ede0ddab0a88", "original_id": null, "input": "Premise: DR. TSERING : Congestion badhta jaa raha hai ... ## DR. TSERING : Pakhi ... meri baat sun rahi ho ? ## DR. TSERING : Kissi garam jagah jaakar rahna chahiye tumhe ... zyaada jeeyogi ... ## PAKHI : Marna to hai hi ek din doctor uncle ... kya karoongi ji kar ? ## DR. TSERING : Ek aur kitaab likh sakogi ... ## PAKHI : Jo likh rahi hoon , ussi mein hi saari zindagi khatam ho jaati hai ... ## \nHypothesis: PAKHI ko kisi garam jagah jaakar rehna chahiye", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "ac209dcb-6ae7-4453-84f2-b70c33440db8", "original_id": null, "input": "Premise: RANVEER : Lanes kyun band kar rakhi hain ? ## RANVEER : Toh ? ## MEERA : Kya hua ? ## RANVEER : Huh ? ## MEERA : Kya bol raha tha wo ? ## RANVEER : Nah ... nothing . Some random fight . ## \nHypothesis: Lanes bandh nahi kar rakhi hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "e87752e6-1f65-4eb3-ac8e-cf955e0c2c95", "original_id": null, "input": "Premise: DRIVER : Bechaara ... ## PAKHI : Sarakiye ... ## DRIVER : Kaahe ? ## PAKHI : Ek to bechaare motorcycle vaale ko naale mein dhakelte ho , gaadi chalaana nahin aata , aur poochte ho kaahe ? ## DRIVER : Hum dhakele ? ## PAKHI : Nahin to kya hum ? ## DRIVER : Aayiye ... ## \nHypothesis: PAKHI DRIVER ko wahan se bhagane ki advise de raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "ee53909e-e6ea-44e1-9585-873bbc4f6830", "original_id": null, "input": "Premise: RAMANATHAN : Article padha ? ## SHAHID : Nahin . ## RAMANATHAN : Link email kar diya hai . ## SHAHID : Thanks . ## RAMANATHAN : Pahle padh le . Koi Mitali hai . ## SHAHID : I will . Bye . ## \nHypothesis: SHAHID ne article nahi padha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "f4373d28-9f8e-4e5c-937a-5e89de2c206b", "original_id": null, "input": "Premise: RITA : Ruk jao 5 minute .. ## PUSHPA : Kya hua ? Kahan ? Koi aaya hai ? Kya ? Arre kya haath nacha rahe ho ? Hain- kya ho gaya- saanp ? Saanp aa gaya ? ## MOTHER : Gardan mein kuch ho gaya ? Phir- kaan mein- dikhao .. Phone ? ## MOTHER : Kisko phone karna hai ? Doctor ko ? Arre kya ho gaya ? Likh ke bata do .. ## RITA : Kya hua Bauji ? Sab theek .. Bauji makes a resigned gesture . ## \nHypothesis: RITA 5 minute rukne ke liye keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "3e5c2a2b-1a5e-4272-be95-965fc67daa39", "original_id": null, "input": "Premise: IMMIGRATION OFFICER : Welcome to Nepal Sir .. ## ASHWIN : Resham ... O Resham ... Resham Resham ... ## SHRUTI : No ! I want to open it now ! ## NUTAN : Abhi 10 din hain - is se bore ho jaaogi , phir birthday par ek aur gift maangogi ! ## \nHypothesis: SHRUTI birthday par ek aur gift maangegi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "f35d1234-e284-4e06-965e-a811c92df54d", "original_id": null, "input": "Premise: DEVI : Hello ? ## DEVI : Uh ... Mister Ramdhari Agarwal ... se baat ho sakti hai ? ## DEVI : Main ... Airtel se bol rahi hoon . Gurgaon . ## BABLU : Seedhe seedhe poochhte hain . ## BABLU : Degi kya ? Bol na . ## BABLU : Kisi ko nahin bolenge . Usko bhi toh diya tha . Shaam ko rukna 8 baje ke baad . ## \nHypothesis: BABLU wants to make physical realtion with her. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "aef1637d-8c9d-4787-8dda-14adc62e6373", "original_id": null, "input": "Premise: KHEMPAL : Kya kiya ye tum logo ne . ## KANHAIYA : Kuch nahi hua hai Khemu . Bus behosh ho gayee hai dar ke . ## KANHAIYA : Dekh saans chal rahi hai .. ## KANHAIYA : Shambhu's voice comes on the sound track as he runs down the staircase . ## SHAMBHU : Un dono ne hee shruti aur Khempal ko maara hai ## \nHypothesis: shruti ki saans chal rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "2f11df30-af81-4712-9d2c-049ae5329c7a", "original_id": null, "input": "Premise: TIA : Listen kal jo hua uske liye I am sorry .. Mujhe nahin pata tha ki dadu-- ## ARJUN : --Are you crazy .. I'm sorry .. Normally , meri family aise kabhi nahin behave karti-- Correction .. I mean \"public\" mein aise kabhi nahin behave karti .. ## TIA : Relax .. Har family mein ladai hoti hai .. ## ARJUN : Humari family mein kuch zyaada hi hoti hai .. ## TIA : You should be happy ki tumhari family toh hai ## ARJUN : Tum apne parents ko bahut miss karti ho ? ## TIA : Toh .. Tum apne tombstone pe kya likhoge ? ## ARJUN : Aakhri baar likh rahah hun .. Ho sakey toh kahaani yaad rakhna ## TIA : Wow .. Thats impressive .. ## \nHypothesis: Kal jo hua uske liye TIA is sorry", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "012d237f-3571-40a6-8fc8-f02071c7abd9", "original_id": null, "input": "Premise: MOTHER : Arjun , mujhe laga ki tu kitaab ke baare mein serious nahin tha .. Har chhe mahine baad life mein kuch aur karna chahta tha .. College chhod diya .. Phir 3 mahine likhne ke baad photography course karne chala gaya .. phir bola adventure sports mein interest hai .. Mujhe laga ki writer banana bhi tere liye bus ek shaukh tha .. ## ARJUN : -- Toh aapne .. ## MOTHER : Rahul itne saal se kuch likhne ki koshish kar raha tha toh maine socha .. I'm sorry Arjun .. I'm really sorry ! ## ARJUN : Sorry .. se kuch nahin hoga mom .. Sorry's not good enough . ## \nHypothesis: Mom itne saal se kuch likhne ki koshish kar rahi thi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "9e142679-9590-42ce-af0c-86873cb085a7", "original_id": null, "input": "Premise: LIBRARIAN : Shahid ... ## LIBRARIAN : Results declared ... ## SHAHID : Main fail ... ## LIBRARIAN : Itne mayusi se kaise chalega ?... ## SHAHID : Fark kya padta hai . ## LIBRARIAN : Pass . ## SHAHID : Kya karoon iska main yahan ?.. ## SHAHID : Maine socha tha , bahar nikalne ke baad main kuuch kar paaonga .. main . ## LIBRARIAN : Toh , yeh padhai jo tumne ki , ye barbaad ho gayi court ke faisle se ? ## LIBRARIAN : Yeh saal jo tumne lagaye , yeh degrees , knowledge koi cheen nahin sakta tumse . Tum yeh nahin bhi kar sakte thay , par tumne yeh kiya . You should be proud of that . ## \nHypothesis: Court ke faisle se SHAHID ki padhaai barbaad ho gayi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "4d35d227-461c-491f-9080-d2f96e39918b", "original_id": null, "input": "Premise: PATHAK : Jhonta ! JHONTA ! ## JHONTA : 3 din se nahin aaye ? ## PATHAK : Bola tha na yahaan beedi mat laana ? Kitaabein hain . ## JHONTA : Hum nahin .. Netwa laaya tha ... ## JHONTA : Didi bhi nahin aayi itne din se ... ## PATHAK : Abhi bhagg yahaan se .. ## \nHypothesis: PATHAK ne JHONTA ko yahaan beedi lane se mana kiya tha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "289dae5d-773d-4de7-af74-c3b40439dd74", "original_id": null, "input": "Premise: SHAHID : Thank you , Sir . ## EDITOR-2 : Tum yeh bhi jaante ho ki yeh sab hote hue bhi main tumhein hire kyon nahin kar sakta ? ## SHAHID : Kyon Sir ? ## EDITOR-3 : Well ... ## SHAHID : Sir , Court se mujhe honorable discharge mila hai . It was a mistake . ## EDITOR-4 : Tumhara kahna sahi hai , par sahi aur galat ka lihaj aaj kisse hai ? Yeh shahar ab Bombay nahin , Mumbai hai . ## SHAHID : Toh iska matlab hai aap mujhe reject kar rahein hain ? ## SHAHID : I reject this job . Before you can reject my application . Shahid stands and walks out . ## \nHypothesis: SHAHID wants this job but EDITOR-2 rejected him", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "d684a1ec-ed3a-4cbc-a4b3-ffdaad77efed", "original_id": null, "input": "Premise: RAMA: : Thak gayi na meri Lado ## RAMA: : Dekh ? Yahi waala tha na ? Mujhe yaad hain beta , mamma ko yaad hain ## HARISH : Meri 3d , 4d ho gayi Aneesh , Daddy's dead darling daughter ho gayi ## JATIN: : Neerja ki mamma ? ## JATIN: : Neerja Aunty ne aapke liye message bheja hain ... ## \nHypothesis: Neerja ki mamma ke liye unki Aunty ne message bheja hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "b1447d3d-54d0-4f65-90b4-370f2013d130", "original_id": null, "input": "Premise: PUSHPA : Pi bhi lo beta- thandi ho jaayegi .. ## PUSHPA : Apsey milne ko aaya hai .. ## AJJU : Bahut achhi chai hai .. Main banata hoon toh hamesha strong ho jaati hai .. Main .. kah raha tha main shaadi karna chahta hoon- Rita se .. ## CHACHA : Tera kaam waam ka kuchh pata nahin hai .. Aamdani ka kuch jariya hai tera ..? ## AJJU : LIC ka agent hoon chacha .. Woh toh chal hi raha hai .. Aur yes ek exam diya hai .. sales tax department mein .. Gorment job ke liye .. ## PUSHPA : Achha beta- phir aana , achha ? ## \nHypothesis: AJJU ko chai bahut achhi lagi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "092bde2d-13f7-4727-b385-248685e7a270", "original_id": null, "input": "Premise: RIANA : There's still 3 more minutes , do I get some discount ? ## RECEPTIONIST : Have some mint , they're free ? ## RAHUL : Psycho ho ? ## RIANA : Naam kya hai tumhara ? ## RAHUL : Rahul-- ## RIANA : Driving license dikhao . ## RAHUL : Kya ? ## RIANA : Kab se peecha kar rahe ho ## RAHUL : --Kya ## RIANA : Sam kiddhar hai ? ## RAHUL : Kaun ? ## RIANA : --That's cute . ## RAHUL : Pagal to nahin ho , baat baat par mar rahi ho ? ## RIANA : Abhi file se mar rahi hoon lekin phir jasoosi karne ki koshis ki toh jootae se maroongi ## RAHUL : Dekho tum .. Ahh .. Woh .. ye . ## RIANA : Ahh .. woh .. ahh .. Pehle bolna seekho ## RIANA : Aur Sam ko bolna galti se bhi mere saamne nahin aaye warna main usse aur tumhien dono ko bahut maroongi ## RECEPTIONIST : She definitely needs more sessions ! Merry x-mas ! ## \nHypothesis: RIANA wants some discount", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "2e739b74-1eb0-46dc-b8ce-ddcc74ab5aa9", "original_id": null, "input": "Premise: SHIBBO BABU : Agle mahine ki 28 tarikh kah rahein hain ## BAUJI : Jo bhi din aapko bhaata hai hum taiyaar hai .. ## BAUJI : 6 baj gaye ? Arre toh bataya kyun nahi ..? Bhai mujhe zara maaf kijiyega .. Main zara .. zaroori kaam se ... ## MOTHER : Abhi ? ## BAUJI : Haan abhi- tumhe bataya toh tha .. Nahi nahi aap baithiye- yeh hain .. Shibbo babu hain- Yahi ghar ke karta dharta hain .. Chalo bhai .. ## BAUJI : Haan , haan . Aap chinta mat kijiye . Shaadi aapke hisab se hi- tip top English hogi .. ## \nHypothesis: Shadi BAUJI ke hisab se tip-top English hogi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "6425ffe6-b96a-4054-8dc9-5ff23347162b", "original_id": null, "input": "Premise: BHAIRAV : Gaadi chalaana kahan seekha ? ## ROHAN : School mein ... chuttiyon mein hum Mr . Pasli ki gaadi chalaate the ... saaf karte the ... uska mujhe pocket money milta tha ... ## BHAIRAV : Tumhaare baare mein aur kya hai jo hum nahin jaante ? ## BHAIRAV : Cigarette peete ho ? ## ROHAN : Nahin . ## BHAIRAV : Sharaab ? ## ROHAN : Nahin . ## BHAIRAV : Girlfriend hai koi kahin ? ## ROHAN : Nahin . ## BHAIRAV : Sex kiye ho ? ## ROHAN : NO ! Aap so jaao ... ## BHAIRAV : Awaaz ooncha mat karo ... ## BHAIRAV : Apne baap ke liye koi izzat nahin hai tumhaare andar ... ## \nHypothesis: BHAIRAV ki koi girlfriend hai . ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "3ab98bb9-b5fd-4858-b3cd-7329a2a2059a", "original_id": null, "input": "Premise: KHEMPAL : Kya kiya ye tum logo ne . ## KANHAIYA : Dekh saans chal rahi hai .. ## RAJPAL : Sab theek ho jaayega .. Chinta mat kar . ## KANHAIYA : He comes after a few seconds and looks at Rajpal . ## KANHAIYA : Bhaag gaya saala . ## KHEMPAL : Main abhi saab logon ko jagata hoon . ## RAJPAL : Pagal ho gaya hai . Sab andar ho jaayenge . ## KANHAIYA : Jo tu bolega wahi hoga . Par pehle thande dimaag se soch to lein ki kya karna hai . Chal chhat pe chal kar baat karte hain . ## \nHypothesis: KHEMPAL abhi sab logon ko jagaaega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "c54fc823-24ea-4bc9-9055-70ebf73ea14f", "original_id": null, "input": "Premise: MOTHER : Arjun , mujhe laga ki tu kitaab ke baare mein serious nahin tha .. Har chhe mahine baad life mein kuch aur karna chahta tha .. College chhod diya .. Phir 3 mahine likhne ke baad photography course karne chala gaya .. phir bola adventure sports mein interest hai .. Mujhe laga ki writer banana bhi tere liye bus ek shaukh tha .. ## ARJUN : -- Toh aapne .. ## MOTHER : Rahul itne saal se kuch likhne ki koshish kar raha tha toh maine socha .. I'm sorry Arjun .. I'm really sorry ! ## ARJUN : Sorry .. se kuch nahin hoga mom .. Sorry's not good enough . ## \nHypothesis: ARJUN ne College chhod diya.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "03b3208d-01a3-4866-bbd5-2c2bad24e9ce", "original_id": null, "input": "Premise: MEERA : Ranveer . Find me . Find me , Ranveer . ## RAMOTAR : Kinghaan ne gayi raand ? ## FAUJI : Bichalo mat re chutiyon . Phaiyl jaao . (Don't fucking get confused . Spread out . ) ## RANVEER : MEERA ! MEERA ! ## RANVEER : Fuck . ## ASHOK : FAUJI ! RAMOTAR ! ## RAMOTAR : FAUJI ! ## MEERA : Ranveer , you ok , baby ? ## MEERA : Let's go . ## \nHypothesis: RANVEER is searching MEERA. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "abc70b27-b0bd-427f-81b7-251ae8cb64d1", "original_id": null, "input": "Premise: GIRL : Fuck off . You're lying . ## BOY : You were totally passed out . ## GIRL : Ma'am is ticket ka status batayengi ? ## DEVI : Confirm nahin hua hai . ## BOY : Tatkal mein check kar sakte hain ? ## GIRL : Ek seat milega toh bhi chalega . ## DEVI : Nahin hai . ## GIRL : Kisi aur train mein ? ## DEVI : Kisi mein nahin hai . ## \nHypothesis: GIRL ko ek seat se jyada ki zarrorat nahin hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "cbe9aac5-491b-4168-bcd9-98b549a2f1aa", "original_id": null, "input": "Premise: ASHWIN : Police aksar jhooth bolne ke liye maarti hai ... Par maine tujhe sachh bolne ke liye maara .. par maara .. sorry .. ## SHAMBHU : Mujhe phansi to nahin hogi na saab ? ## ASHWIN : Nahin . Ulta tu chhoot jaayega . Kyonki tu apni marzee se sarkari gawah banne ko taiyaar hua hai .. Bina kisi zor zabardasti ke . Haan ? ## SHAMBHU : Jee saab . ## ASHWIN : Lets shoot him .. ## SHAMBHU : Nahin Saab ..! ## ASHWIN : Arre wo shooting nahi . Camera se shooting . Clean him up before that . ## \nHypothesis: ASHWIN ne SHAMBHU se kaha ki use phansi nahin hogi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "09838fba-662e-4a59-b9c4-46895f8eb916", "original_id": null, "input": "Premise: RANI : Mom smiles ## MOM : Eeeffel tower ? ## RANI : Real wala dikhaun ? (while showing pictures) Yeh ... aur yeh ... wishing wala bridge ... aur yeh dekho ... sunder hai na ? Aur yeh ... yeh to amsterdam hai ... ## RANI : Papa mujhe na ... Vijay ke yahan utaar dena ... kuch kaam hai ## \nHypothesis: RANI ko vijay se kuch kaam hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "7246c55a-a2b9-4884-84a7-0191be05c047", "original_id": null, "input": "Premise: DEEPAK : Tum ghar mein sabse chhoti ho , hai na ? ## SHAALU : Haan . Kaise pata ? ## DEEPAK : Ghar mein sabse chhote hi aise kood- kood ke baat karte hain ! ## SHAALU : Chhoti hoon isiliye sab itna pyaar karte hain . (shows the gold and diamond ring on her finger) Bachpan mein pehnaayi thi Chachu ne ... aur ye ab atak hi gayi hai . Ungli badi ho gayi ... angoothi utni hi rah gayi . ## SHAALU : Aise kyon dekh rahe ho ? ## DEEPAK : Pata nahin . ## DEEPAK : Chhoti ho na sabse ... isliye pyaar aa gaya . ## \nHypothesis: ghar mein sabse chhote log uchhal kood ke baat karte hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "c5695a17-ba01-4c9d-b605-499478f809e9", "original_id": null, "input": "Premise: GRANDMA : Oh Jesus .. forgive us ... you have no shame .. What's your name ? ## RAHUL : Sorry .. Rahh-- ## GRANDMA : --T . V On hai , tumko samajh nahin aata hai ki Amitabh tumko dekh sakta hai . Bloody shameless boy !! ## STEFF : Hi !! ## RAHUL : Hi . ## STEFF : Sorrrrry .. Granny ke saath thodi problem hai . Grannnnyyy .. ## KARAN : Heyy , I'm Karan !! ## RAHUL : Hi ! ## KARAN : Get ready hum bahar jaa rahein hain ! ## \nHypothesis: KARAN ke saath thodi problem hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "8bd59198-c0c1-415c-80c4-4ef729af63fa", "original_id": null, "input": "Premise: VEDANT : Kin dono ne ? ## SHAMBHU : Kanhaiya aur Rajpal .. ## VEDANT : Tum apni marzi se approver ban-ne ke liye taiyaar ho ? ## SHAMBHU : Jee saab . ## JK : Do you think I'm a fool ? ## JK : You torture and beat up somebody and then force him to become an approver ? ## ASHWIN : Sir .. Wo Magistrate ko bayan dene ke liye tayyar hai . Kal chargesheet aur parsoon case khatam . ## JK : Look , mujhe nahi pata hai ki Ramashankar kis tareeqe se kaam karta tha yahan .. But this is not the way this agency will function under my command . ## ASHWIN : Sir .. Wo apni marzee se approver ban raha hai . ## \nHypothesis: JK orders to torture and beat up somebody. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "374c7f14-c235-4d6f-b3dd-b8fef8bad142", "original_id": null, "input": "Premise: LOAN SHARK : Raman bhai .. dekha maine hisaab .. ## RAMANNA : hmm .. Ramanna removes his ear rings ## LOAN SHARK : byaaz toh dena padega .. aur tumne jo pahle sona diya tha uska toh tumne le liya .. ## RAMANNA : Unnees tareek ko main apni Diary mein hisaab likha hai .. Ramanna pulls his diary from the pocket . ## LOAN SHARK : kis zamaane ki baat kar rahe ho .. aur pahli baat , pandrah aur paanch dou hota hai .. pachhees nahi .. ## RAMANNA : dou hazaar toh mere ko mangta hai .. ## LOAN SHARK : han toh byaaz toh lagega na .. ## RAMANNA : kaise lagega .. ## RAMANNA : Dekh main tere se pahle pandrah liya .. ## LOAN SHARK : pahle paanch liya .. ## RAMANNA : han pahle paanch liya phir pandrah liya .. ## LOAN SHARK : han toh pandrah aur paanch kitna hua ? ## RAMANNA : pandrah aur paanch bees ## LOAN SHARK : arre yaar ek second .. ## LOAN SHARK : Ye kitna hai ? ## RAMANNA : Paanch .. Loan Shark starts putting notes one by one on the table .. and they both count it .. ## RAMANNA : chah .. saat .. aath .. nau .. das .. gyarah .. barah .. terah .. chaudah .. pandrah .. ## LOAN SHARK : pandrah aur ye paanch .. bees .. bees sau .. dou hazaar ## RAMANNA : kaise .. dekh .. chah .. saat .. aath .. nau .. das .. gyarah .. barah .. terah .. chaudah .. pandrah , solah , satrah , atharaha , unnees , bees .. bees hua na .. dou kaise .. ## LOAN SHARK : bees sau .. dou hazaar na .. dou hazaar toh bol raha hua na main .. bees , unnees , atharah , satrah , solah , pandrah , chaudah , terah , barah , gyarah , das , nau , aath , saat , chah , paanch , chaar , teen , dou , ek .. bees sau .. dou hazaar .. ## LOAN SHARK : Ye .. ## RAMANNA : han .. wo dou hazaar tu rakh .. Cops are approaching towards the Loan Shark's shop . ## LOAN SHARK : Tera Raghav mil gaya kya .. ## KAMBLE : mara nahi hai .. chai peeni hai tere sath .. chal chai pilate hain .. Ramanna looks at the Loan Shark . ## \nHypothesis: Raghav mar gaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "6afcc9ab-2462-4423-8fa4-8936bbdd6734", "original_id": null, "input": "Premise: ZOYA : Come on Moin ... Itne dramatic mat bano ... ## MOIN : Drama ? Shaadi ko teen saal ho gaye ... Bachcha nahi hua ... Ab sab mujhe shaq ki nazar se dekhne lage hain ... Kaise bataoon unhe ke bachcha paida karne ke liye meri biwi ke paas nau continuous mahine nahi hain ... ## ZOYA : Bas yeh last case hai ... ## MOIN : Pichli baar bhi yehi kaha tha tumne ... ## ZOYA : Bye nahi kahoge ...? ## MOIN : Wohi toh keh raha hoon ... ## \nHypothesis: MOIN ne kaha ki Shaadi drama hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "79f914fe-a306-4690-bef9-69e50d3f1cd8", "original_id": null, "input": "Premise: JAAN MOHAMMAD : Ek lafz aur toh tera bheja baahar . ## ITALVI : Accha ? Nikaal .. Himmat hai to nikal Italvi ka bheja baahar ! ## ITALVI : Maar ! ## JAAN MOHAMMAD : Dekh be Italvi . Aakhiri baar keh raha hoon .. ## ITALVI : Naqli Nawab saala .. ## \nHypothesis: JAAN MOHAMMAD ITALVI ko dhamki de raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "a02dfee2-509d-4af7-a08e-3e037b4fbea4", "original_id": null, "input": "Premise: MAN : Do jan aaye the Hotel pe . Humne unko bhej diya bol ke ki jagah nahi hai ... ## KN SINGH : Chaubees Pachchis saal ke ? Ek dubla sa tha , Dev Anand type ... ## MAN : Bilkul ... ## INSPECTOR : Pata nahin sahab ... hamein to koi khabar nahin ... ## KN SINGH : Hotel vaala bolta hai do jann aaye the , yah bol rahe hain ... agar vah kahin nahin rah rahe hain , to gaye kahaan ? ## RAJA : Aap museum se aaye hain ? Dilli se ? ## \nHypothesis: Do log hotel pe aaye they", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "5e1a9e50-1a70-48bf-ade3-3f99084f5dd4", "original_id": null, "input": "Premise: VIKRAM : Ye phone pe prince prince kaunse launde se baat kar rahi thi ? ## PRADEEP : Bhai vai hoga koi . ## VIKRAM : Sim nikal ke alag rakh de . ## VIKRAM : Gaadi chorr ke aate hain hum log . Tab t a k a n d a r hi r e h e n de . Darwaja mat kholiyo . ## DADDY : Kapde utaar line se . Ainwayi rakhe hain khulle mein ! ## \nHypothesis: PRADEEP ne kaha ki main prince ko jaanta hoon. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "f57a774b-ea9d-43c4-aaba-a9d84834a870", "original_id": null, "input": "Premise: GENERAL RAZA : Khurram Mirza tumhari security mein tha ... Tum is baat ko lightly mat do ... Americans ne jo Osama ke saath kiya uske baad kisi ke bhi ambitions ... ## GOLDMAN : Utni mehnat ka unko koi shauq nahi hai aur Khuraam kyon maara gaya aap jaantey hain ... Yeh business uske bahut din ka shuroo kiya hua aur cut oopar bhi ja raha ... ## GENERAL RAZA : Tum itni zid kyon kar rahey ho is baar ... ## GOLDMAN : of his shirt and runs a hand over his surgical wounds) By paas do hain ... Beta ek hi hai ! ## \nHypothesis: GOLDMAN is baar bahut zid kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "4f0e9466-5580-414b-b953-bf470b9f8259", "original_id": null, "input": "Premise: ROHAN : Mr . Kashyap kahan gaye ? ## NURSE : Vah to kal raat ko hi chal basse ? ## NURSE : Kya hua ? ## ROHAN : Meri kahani poori nahin suni unhone ... ## \nHypothesis: Mr . Kashyap ki kal death ho gayi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "62b32132-0405-4cb6-a153-8d4f9beee11a", "original_id": null, "input": "Premise: SHAHID : Humara case strong hai . ## MARIAM : Hum jeetenge ? ## SHAHID : Jeetna Chahiye . ## MARIAM : Kitna time lagega ? ## SHAHID : mahine ya ussey thoda zyaada . ## MARIAM : Perfect . ## SHAHID : Koi Jaldi hai ? ## MARIAM : Haan property sell karke Assam jaana hai . ## SHAHID : Kyon ? ## MARIAM : Ek school start karoongi . ## SHAHID : Woh aap yahaan bhi kar sakti hain . ## MARIAM : Aap chahte hain main yahan rukoon , kyon ? ## SHAHID : Kyonki yeh .. ## MARIAM : Shayad , ruk bhi jaaoon . ## SHAHID : As a lawyer mujhe sab pata hona chahiye aapke baare mein . ## MARIAM : Achcha . ## SHAHID : Are you ? ## MARIAM : No . Mujhe chalna chahiye . ## SHAHID : Ok . ## SHAHID : Date milte hi inform karoonga . ## \nHypothesis: MARIAM ne kaha ki main yahan rukoongi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "53393637-ce37-4967-af11-6b00c1860464", "original_id": null, "input": "Premise: MARIAM : Aap yahaan fees ke liye aaye hain ? ## SHAHID : Nahin .. ## MARIAM : Jitne lawyers main dekh chuki hoon , log apni poori zindagi mein nahin dekhte . Lucky people . Shahid stays quiet ... ## MARIAM : Maine koshish ki but nahin ho saka . Main property sale ka ek %age de sakti hoon .. ## SHAHID : Sir ne ... ## MARIAM : Kya ? ## SHAHID : Paise hearing se pahle chahiye . ## MARIAM : I cant ... ## SHAHID : I am really sorry ... ## MARIAM : Please go ... ## \nHypothesis: MARIAM ne bahut koshish ki but nahi ho saka", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "93e7b1c7-9e4f-4da9-a7a0-667ee401c790", "original_id": null, "input": "Premise: BHAIRAV : Gaadi chalaana kahan seekha ? ## ROHAN : School mein ... chuttiyon mein hum Mr . Pasli ki gaadi chalaate the ... saaf karte the ... uska mujhe pocket money milta tha ... ## BHAIRAV : Tumhaare baare mein aur kya hai jo hum nahin jaante ? ## BHAIRAV : Cigarette peete ho ? ## ROHAN : Nahin . ## BHAIRAV : Sharaab ? ## ROHAN : Nahin . ## BHAIRAV : Girlfriend hai koi kahin ? ## ROHAN : Nahin . ## BHAIRAV : Sex kiye ho ? ## ROHAN : NO ! Aap so jaao ... ## BHAIRAV : Awaaz ooncha mat karo ... ## BHAIRAV : Apne baap ke liye koi izzat nahin hai tumhaare andar ... ## \nHypothesis: BHAIRAV Mr. Pasli ki gaadi chalata tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "997817dd-d079-4e4d-a4c7-0ab3b51023e1", "original_id": null, "input": "Premise: ISHAAN : Sun toh meri baat .. sorry yaar .. ## ISHAAN : Hud ho gayi yaar zid ki ? Kya karoon ? Aarti utaarun teri ?? Pairon pe girgiraoon ? ## OMI : Kya kar raha hai ? Pagal ho gaya kya ? ## ISHAAN : Apne paapon ka prayashchat kar raho hoon , bhugwun .. ## OMI : Wahan pe .. paapiyon ke liye woh line hai .. Wahan jake maafi maang . ## ISHAAN : Omi yaar .. kya hai ye ? main tera bhai nahi hoon ?? ab chhod na gussa .. ## OMI : Bas bahut ho gaya Ishaan . ## OMI : Tu apna chhor ke kisi ka nahi hai .. ## \nHypothesis: ISHAAN apne paapon ka prayashchit kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c9c8577f-9310-4f0f-8d60-717e2253c663", "original_id": null, "input": "Premise: ROHAN : Mr . Kashyap kahan gaye ? ## NURSE : Vah to kal raat ko hi chal basse ? ## NURSE : Kya hua ? ## ROHAN : Meri kahani poori nahin suni unhone ... ## \nHypothesis: Mr. Kashyap ne ROHAN ki poori kahani sun li", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "6232fd7a-b8bc-4026-95ac-01b72579a69a", "original_id": null, "input": "Premise: BHAIRAV : Gaadi chalaana kahan seekha ? ## ROHAN : School mein ... chuttiyon mein hum Mr . Pasli ki gaadi chalaate the ... saaf karte the ... uska mujhe pocket money milta tha ... ## BHAIRAV : Tumhaare baare mein aur kya hai jo hum nahin jaante ? ## BHAIRAV : Cigarette peete ho ? ## ROHAN : Nahin . ## BHAIRAV : Sharaab ? ## ROHAN : Nahin . ## BHAIRAV : Girlfriend hai koi kahin ? ## ROHAN : Nahin . ## BHAIRAV : Sex kiye ho ? ## ROHAN : NO ! Aap so jaao ... ## BHAIRAV : Awaaz ooncha mat karo ... ## BHAIRAV : Apne baap ke liye koi izzat nahin hai tumhaare andar ... ## \nHypothesis: ROHAN ne school me gaadi chalana seekha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "58feea99-e29c-49b2-9522-f77390d235ac", "original_id": null, "input": "Premise: ISHAAN : Jeet gaye .. Ye lo saalon .. Ind eaah !! Ind eaah !!... Jeet gaye bhai jeet gaye !! Indiaaaah !! ## ISHAAN : Baka .. Bahut miss kiya tere ko . ## OMI : Jaanta hun .. ## ISHAAN : Oye .. Oye .. Oye !! Bhajji ka hat trick dekha ?? Mindblowing yaar !! ## BOY : Ek season ball aur ek set keeping gloves .. jaldi please .. hamara match shuru hone wala hai .. ## \nHypothesis: OMI ne kaha ki maine bhi tumhe bahut miss kiya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "1fb71628-d09a-4f46-8ad5-2ca0625b2058", "original_id": null, "input": "Premise: SIKANDAR : Bata na ... kaise phansti hai ye angrejan sab ? ## VIKRAM : Kaa be ... bhaujaai de nahin rahi kaa aajkal ? ## SIKANDAR : Jitna poochh rahe hain wo bataao na ? Thoda bahut angreji bol lete hain ... ## VIKRAM : Angreji se nahin hota . 'Attract' hona chaahiye . Kundan yaad hai ? ## VIKRAM : Wo jo peepa-pul mein naav ghusaaya tha chootiya .. abhi Sweden ... ki Switzerland ... kaun jaane ... ghoom ke aaya apni memsab ke saath . ## VIKRAM : Arre kanjoos saala naav bechne waapas aaya hai . Phir jaayega . ## VIKRAM : Sab bhainchod langot pakad lo humaara ... hum ud ke jaa rahe hain turantey ! Patta phenko ! ## \nHypothesis: VIKRAM ne kaha ki angrejan sab angreji se nahin phansti hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "3d2f418f-3f24-4698-b439-a06335fbc23a", "original_id": null, "input": "Premise: ASHWIN : Police aksar jhooth bolne ke liye maarti hai ... Par maine tujhe sachh bolne ke liye maara .. par maara .. sorry .. ## SHAMBHU : Mujhe phansi to nahin hogi na saab ? ## ASHWIN : Nahin . Ulta tu chhoot jaayega . Kyonki tu apni marzee se sarkari gawah banne ko taiyaar hua hai .. Bina kisi zor zabardasti ke . Haan ? ## SHAMBHU : Jee saab . ## ASHWIN : Lets shoot him .. ## SHAMBHU : Nahin Saab ..! ## ASHWIN : Arre wo shooting nahi . Camera se shooting . Clean him up before that . ## \nHypothesis: ASHWIN ne SHAMBHU se kaha ki tu chhoot nahin jaayega. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "3aa120d1-0110-4eab-9f90-7370b3aa968f", "original_id": null, "input": "Premise: ZAHEER : Nauvin baar .. bail denied . ## SHAHID : Zaheer , maine yeh pahle bhi kaha tha . Unke paas kuuch nahin hai , isliye delay kar rahein hain . Zaheer nods his head . ## ZAHEER : Kitna waqt , aur ? ## SHAHID : Ek mahina .. Bahut hai .. ## ZAHEER : mahine dekh liye , ek aur sahi . ## SHAHID : Glass is half full , Zaheer . Glass is always half full . Zaheer smiles . ## ZAHEER : Unko sirf Gujarat riots ke video mile ? History channel ke World War 2 ke genocide ke video jo us hard disk par thhe ? Uska zikra bhi karte ? ## SHAHID : Unka case hai yeh . ## ZAHEER : Case weak ho jaayega na ? Delete bhi kar diya hoga . ## \nHypothesis: ZAHEER is waiting for months. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "15ed5b11-c82d-4102-b7ea-245713e84c91", "original_id": null, "input": "Premise: MUSHTAQ KHAN: : Harish ? uhhh .. zaraa baat karni thi , do u have a minute ? ## HARISH: : I need to finish this article .. baad mein baat kare ? ## MUSHTAQ KHAN: : Urgent hain Harish ## HARISH: : Kya baat hai Mushtaq ... ## MUSHTAQ KHAN: : No No .. please sit .. ## \nHypothesis: MUSHTAQ KHAN ko HARISH se ek minute baat karni hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "2a36f017-3383-4758-8d05-004315756cd3", "original_id": null, "input": "Premise: SUPPLIER PANDITJI : Govind Bhai , who Ish bhaiya nahi mile kuch din se .. ## ISHAAN : Ish Bhaiya ko apne aap se mile hue bahut din ho gaye .. ## SUKETU : Mujhe match dekhna hai .. Phleeeze !! ## MRS MEHTA : Namaste .. Main Mrs . Mehta . Yeh mera beta Suketu hai .. ' cricket cricket' karke hairaan kar diya hai .. Main actually aarti ke liye late ho rahi hoon .. kya woh yahan thodi der match dekh sakta hai ? ## \nHypothesis: SUPPLIER PANDITJI ko Govind bhaiya recently hi miley they", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "2f834400-c0ed-4eec-bd46-1241e4deac8a", "original_id": null, "input": "Premise: ISHAAN : Yahan ? Yahaan kholenge sports ki dukaan ? Is tabele mein ? ## OMI : Chii Govi !! Abhi itni baans aa rahi hai to baad mein kya hoga !! ## HASSAN : Aapna budget mein yehi site available hai govi bhai . Thoda jeb kholo , budget badhao ..first class cheez dikhata hun . ## HASSAN : Maalik dekhne ke kya paise padh et hain .. Baad mein nakki kar lean . ## \nHypothesis: ISHAAN aur OMI ko cheez kharidana hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "23d5b36b-ac47-446c-bfef-6324107bcba2", "original_id": null, "input": "Premise: PIYUSH : Mere kapde ? ## MISHRA : Kya bhasad macha rakhi hai ? Baajaar bana diya yahaan ... ## MISHRA : Naam ? ## PIYUSH : Piyush Aggarwal ! Chhod do sir !!! ## MISHRA : Kya karte ho ? ## PIYUSH : Student hun sir .. ## MISHRA : Kahan se aaye ho ? ## PIYUSH : Aaa .. Allahabad se . Sir , please sir !! Kuch settlement kar lo sir .. Please !! ## MISHRA : Naam ? ## DEVI : Devi . ## MISHRA : Tumra life toh kandam ho gaya . ## MISHRA : Bahin-chod isey kya hua ? ## \nHypothesis: MISHRA kuch settlement karne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "31eecb0e-3389-43ad-8993-936e4f0d41c1", "original_id": null, "input": "Premise: ISHAAN : Sun toh meri baat .. sorry yaar .. ## ISHAAN : Hud ho gayi yaar zid ki ? Kya karoon ? Aarti utaarun teri ?? Pairon pe girgiraoon ? ## OMI : Kya kar raha hai ? Pagal ho gaya kya ? ## ISHAAN : Apne paapon ka prayashchat kar raho hoon , bhugwun .. ## OMI : Wahan pe .. paapiyon ke liye woh line hai .. Wahan jake maafi maang . ## ISHAAN : Omi yaar .. kya hai ye ? main tera bhai nahi hoon ?? ab chhod na gussa .. ## OMI : Bas bahut ho gaya Ishaan . ## OMI : Tu apna chhor ke kisi ka nahi hai .. ## \nHypothesis: ISHAAN OMI se maafi maang raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "55e77e22-8b17-4033-bba9-5b5edad74732", "original_id": null, "input": "Premise: NUTAN : Khempal .. Khempal . ## BASANTI : Didi , main neeche jaati hoon , aap duplicate chaabi phenko .. ## NUTAN : Ramesh ! ## NUTAN : Dekho Khempal kya kar gaya ! ## \nHypothesis: BASANTI duplicate chaabi phenkegi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "7cdb26a3-0de9-4046-8686-8db9b96add2a", "original_id": null, "input": "Premise: RIANA : Here , is se pehle main bhool jaoun , ye tumhare-- ## RAHUL : Ye cheekhna kab band karenge ? ## RIANA : I know they suck ! Magar 3 dollar ki beer aur free pop corn sirf yahin milte hain !! ## RIANA : --Ek aur acchi baat yeh hai ki tum yahan kuch bhi cheekh sakte ho , kisi ko kuch farak nahin padta . ## RIANA : YOU ALL SUCKK !! Cheekna band karo gadhoonn !! Play something elseee ! Stoppp !! ## \nHypothesis: RAHUL keh raha hai ke ye cheekhna kab bandh karenge", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "e7e00669-4132-48f1-9b75-06988b603715", "original_id": null, "input": "Premise: ANUSHA : Hi !! ## RAHUL : Hello ! ## ANUSHA : Toh kya karna hai ? ## RAHUL : Uhh .. Pehle khana kha lete , khana thanda ho raha hai . ## ANUSHA : I hope , sense of humor ke alava baki sab kuch bhi improve hua hai . ## RAHUL : Haan , definitely . ## ANUSHA : Ek kaam karo is taraf aao . ## ANUSHA : Betho . Seat toh bandh karo . ## ANUSHA : What ? ## MAN OUTSIDE : Sorry . ## RAHUL : Mujh se nahin hoga . ## ANUSHA : Kya . ## RAHUL : Mujhe bahar jaana hai . ## ANUSHA : Oh , you wanna play shy with me ? ## RAHUL : Anusha please-- ## RAHUL : Please !! ## \nHypothesis: RAHUL ne kaha ki Khana pehle kha lena chahiye tha, ab thanda ho gaya.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "46889950-be56-4a90-957e-5a72de60bc49", "original_id": null, "input": "Premise: SHAHID : Kuuch der ruk nahin sakti thi ? ## MARIAM : Main apne bete ke maamle mein compromise nahin karoongi . ## SHAHID : Main yeh baat araam se karta . Abhi bolne ki kya zaroorat thi . ## MARIAM : Sorry , tumhari ammi itni chidchidi hain . Pahle burqa , ab ... ## SHAHID : bas ! ## \nHypothesis: SHAHID does not want MARIAM to speak anymore. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "ea87f19c-4ffc-4535-8e13-81873b873bb9", "original_id": null, "input": "Premise: NEELU : Tension k y o n lera h a i ? Le bhi liye toh de denge paise wapas . Bol toh rahe hain . ## TITLI : Maan ke lorre hain . Ek baar haath lag gaya na cash , wapas na aana . ## NEELU : Ye kya hai ? ## TITLI : Kya ? ## NEELU : Haath mein tere ? ## TITLI : Gift . Vaishnodevi se . Parivaar ki jimmedaari hai , rakhle mere baad tere pe aani hai , bol ke diya tha Vikram ne . ## \nHypothesis: ek baar cash haath lag gaya toh wapas aa jaaega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "79956109-52e7-4ed8-bd33-9de55f3ac313", "original_id": null, "input": "Premise: APU : To tera dream business kya hai ? ## ROHAN : Mujhe writer banna hai ... ## APU : Tu likhta hai ? ## ROHAN : Hahn ... ## APU : Suna kuchch jo tum likha hai ? ## \nHypothesis: ROHAN ka dream job singer banna hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "d0025793-e4a5-4762-b16e-8f5381cc2db2", "original_id": null, "input": "Premise: MAN : Do jan aaye the Hotel pe . Humne unko bhej diya bol ke ki jagah nahi hai ... ## KN SINGH : Chaubees Pachchis saal ke ? Ek dubla sa tha , Dev Anand type ... ## MAN : Bilkul ... ## INSPECTOR : Pata nahin sahab ... hamein to koi khabar nahin ... ## KN SINGH : Hotel vaala bolta hai do jann aaye the , yah bol rahe hain ... agar vah kahin nahin rah rahe hain , to gaye kahaan ? ## RAJA : Aap museum se aaye hain ? Dilli se ? ## \nHypothesis: Inspector ko koi khabar nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "db1cadfe-bceb-4eef-8189-4eab99b6ea84", "original_id": null, "input": "Premise: RANVEER : You sure ? ## MEERA : Yeah . Dus minute ka toh rasta hai . ## RANVEER : Pakka , na ? ## MEERA : Stop repeating yourself . ## RANVEER : Thought we had plans for the night . Chal , office pahonchte hi phone kar . ## \nHypothesis: RANVEER ne MEERA ko Chalne ko kaha.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "8c9282ca-8779-475e-97e5-395f3de511d9", "original_id": null, "input": "Premise: VIJAY : Kahin bhi shuru ho jaati ho dance karna , shushma didi ki sagai hai ... relations mein hain humarey ... socha to karo ... ## RANI : Baaki ladkiyan bhi to kar rahi thi ## VIJAY : Baakiyon se main shaadi kar raha hoon ?... mummy ko bhi theek nahin lagta hai yeh sab ## RANI : Achcha sorrrryyy baba ! nahi dance karungi na ab se . ## \nHypothesis: Baaki ladkiyan dance nahi kar rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "cc60756f-5f91-4ae2-b54c-7252dcc0d260", "original_id": null, "input": "Premise: RAHUL : Ya .. He's better .. I'll meet him tomorrow .. Ya I miss you too --- ## RAHUL : Dude , darwaza band ho , toh knock karte hain . ## RAHUL : Yes , Arjun . ## ARJUN : Mum ne kahan , mere purane kapde tumhare cupboard mein rakhe hain . ## \nHypothesis: Darwaza bandh ho toh knock karte hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "2782c8bc-2770-47fd-8f94-1330922ba5b3", "original_id": null, "input": "Premise: SHAMBHU : Koi bada accident hua hai ... ## BABA : Deepak beta ... jaao agni laa ke do inhein ... ## DEEPAK : Haan Baba ... ## SIKANDAR : Arre idhar lagaao na ... idhar hai toh jagah ! ## SIKANDAR : Arre jalaao na ... apna ghaat hai ki ! ## SIKANDAR : Ae Deepak ... idhar chita banwaao ... 4 aa jaayegi idhar . ## GRIEVING MAN : Teerath pe gaye they sab .... poori Bus ganga ji mein gir gayi ... Sanstha wale sab body yahin laye hain . ## \nHypothesis: DEEPAK ne kaha ki haan main agni laa ke deta hoon. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "6b9ada9d-cafe-41e8-9eab-d2240221e8d5", "original_id": null, "input": "Premise: MOM : Chalo chalo ... sab apna mood theek kar lo ... ## MOM : Kaisi hai ? ## RANI : Theek hoon ... pahunch gayee araam se ## MOM : Achcha .. Mausam kaisa hai ? ## RANI : thodi thand hai ## MOM : Achha ? ## DAD : Problem to nahin huyi koyi ? ## RANI : Nahin ... easy tha sab ## GRANDDAD : Kidhar hai meri jhalli ? ## RANI : Dadaji ! Aap kaise ho ? ## GRANDDAD : Puttar mera sher ... tu angrezon se darna mat . Tu koyi queen victoria se kum hai ? ## DAD : Oho . Minky aa gaya hai ## MOM : Beta vo mahinder jeeja ji ke yahaan aaj maata ki chowki hai , minky mama ke saath ja rahey hain ... tere liye pooja karne ## \nHypothesis: Mom Minky mama ke wahan ja rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "ea14536f-b11e-4b7b-a296-27825f8615e2", "original_id": null, "input": "Premise: MR.KAPOOR : Yeh kya hai ? ## MR.KAPOOR : Swimming pool is taraf nahin us taraf hona chaiye , issey tumhein jyada parking space milega . yeh basics hain Rhaul , tum kar kya rahe ho ? ## RAHUL : Pata nahin kyoun 25 saal mein bhi , dad ke aage muhn to khulta hai par jubaan nahin hilti . ## MR.KAPOOR : Kya kaha ? ## MR.KAPOOR : Suna hai , tumhari company India mein Micro housing par research kar rahi hai . ## MRS.KAPOOR : --Bulani's ka phir phone aaya tha . Let's leave . ## \nHypothesis: MR.KAPOOR ke paas Bulani ka call aaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "578b8e56-dbbc-4c2f-ac87-20ada0bebdf0", "original_id": null, "input": "Premise: ARIF : Kaam kaisa chal raha hai ? Shahid stays quiet as they walk . ## ARIF : Accha nahin ? ## SHAHID : Paisa , paisa , paisa , hai rey paisa ! ## ARIF : Achcha hai na . ## SHAHID : Jab yeh chhotapan kucch logon ki zindagi badal sakta ho ... They continue to walk . Shahid is anxious to say something . ## ARIF : Kya ? ## SHAHID : Main lawyer isliye nahin bana . ## SHAHID : Saari galati meri hai . ## ARIF : Tum khud ki practise karoge ? ## SHAHID : Haan . ## ARIF : Main personal loan leta hoon . Tu start kar .. Dekhenge jo hoga . ## SHAHID : Bhai ..... ## ARIF : Chhup ... Arif does not answer as they keep walking . ## ARIF : Bar license kab milega ... ## SHAHID : Kal . ## \nHypothesis: Bar license kal milega. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "1929c107-f19b-4b82-8768-109888bbb281", "original_id": null, "input": "Premise: GRAND DAD : Ye dekh .. Neetu ka face pack laga kar main kya chamak raha hun .. Lag raha hun heroine ya nahin .. Ab meri twacha se meri umar ka pata hi nahin chalta ## WASIM : Ab kya bolun aapko dadu .. Itne hot lag rahe ho , agar meri dadi zinda hoti na .. toh pukka aap dono ki setting kar leta . ## GRAND DAD : Teri maa toh zinda hai na ? ## GRAND DAD : Jaldi kar jaldi .. Aur sab ko bula .. Hum sab ready hain .. ## \nHypothesis: GRAND DAD ne Neetu ka face pack lagaya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "1ff1dbbb-1aa4-40f9-a784-2a5207b28f11", "original_id": null, "input": "Premise: RAGHAVAN'S FATHER : wo maheene me gadbad ho gaya .. maine socha , aapne bola , pahla last toh paanchva monday .. ## RAGHAVAN'S FATHER : Paon chhuo Sir ke .. ## SWAMI JI : khush raho beta .. ## RAGHAVAN'S FATHER : Aao baitho ## SWAMI JI : Aao baitho ## RAGHAVAN'S FATHER : ye chashma kyon pahna hai ? style maar rahe ho kya .. utaaro ise .. utaaro .. hello ## RAGHAVAN : Nahi .. ## RAGHAVAN'S FATHER : Hain ! ## RAGHAVAN : Nahi .. wo soya nahi hun .. ## RAGHAVAN'S FATHER : soye nahi ho .. ## RAGHAVAN'S FATHER : Pahan lo .. ## RAGHAVAN'S FATHER : Aage aao .. Raghavan stares at father . ## RAGHAVAN'S FATHER : Neend kaise aayegi .. jao baitho wahan .. aata hun main , abhi baat karta hun tumse Raghavan sits in the corridor alone .. his father's voice is heard . ## RAGHAVAN'S FATHER : Kuchh samajh me nahi aa raha . bahut samjhaya maine .. Police wala hai , khud nasha karta hai .. ek din pakda gaya toh aapko andaaza nahi hai kya hoga .. suspend karenge , jail me daal denge .. beizzati hogi , media ka pata hi hai aapko kya karta hai aaj kal .. bachpan me maine na isko na wo gaanja peete hue pakad liya tha .. maine itna maara isko .. ## RAGHAVAN'S FATHER : itti moti belt thi chamde wali , laal kar diya maine iska badan , maar maar ke .. haath nahi lagaya isne uske baad .. ## \nHypothesis: SWAMI JI chashma utaarne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "c701c375-9339-4c2f-8693-25d8e33c7f8f", "original_id": null, "input": "Premise: GOVIND : Kya .. Praful bhai , gayee diwali se rate badhaane ki baat hui thi .. Idhar mehangayee to har mahine badhe ja rahi hai ## PRAFUL BHAI : Agle time se har item pe do do rupayee badha denge ## GOVIND : Chaar bola tha aapne ## PRAFUL BHAI : Chalo .. Teen pakdo ## PRAFUL BHAI : Govind bhai gilli danda ramta tha tyaarthi tamara khakhra thepla vechu chu , koi diwas nuksaan thayu che ?? Par govind bhai paako vyaapari banigyo , haan jamna ben ? ## JAMNABEN : Badhi thakur ji ni krupa che ## GOVIND : Fraud che saalo . ## \nHypothesis: PRAFUL BHAI khakhra bechta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "46d75f06-b5df-457f-b80f-f80628a9f273", "original_id": null, "input": "Premise: AMMAJI : Chhorey tanne manaa karya tha na jaane se ? ## KAMLESH : Koi milne aaya hai . ## AMMAJI : Kaun ? ## AMMAJI : Kaun sa ? ## KAMLESH : Boli thaare se kaam tha . ## MEERA : Sarpanch ji ? ## KAMLESH : Arey yehi to hai Sarpanch ji . ## MEERA : Mera husband ... please woh ... Please ... ## AMMAJI : Beti ? Ke hoya ? ## AMMAJI : Bhumia ! ## AMMAJI : Bhumia ! ## BHUMIA : MIL GAYI , AMMAJI. ## \nHypothesis: AMMAJI ne Chhorey ko jaane se manaa kiya tha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "de971ebb-9135-496a-8851-7b633d11e534", "original_id": null, "input": "Premise: AMMAJI : Bechari daredi sa . (Poor thing looks scared) Jaa paani le kar aa . ## KAMLESH : Bua kahin jaa rahi hai ? ## AMMAJI : Beti tu theek sa ? Ke baat ho gayi ? ## MEERA : Hum dilli se aa rahe the . Raaste mein kuchh log ek ladka ladki ko ... ## AMMAJI : Machine kathey sa mhaari ? ## AMMAJI : Machine ? ## BHUMIA : Huh ? Mili nahi . ## AMMAJI : Ek kaam na hota raand sa . ## MEERA : Please Aunty ... Mera husband injured hai ... Please mere saath chaliye . Wo mar jaayega , Aunty ... ## MEERA : Aunty ? ## MEERA : Fuck . ## \nHypothesis: MEERA ka husband injured hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "6ddcc4f9-18af-43ce-891b-26ea5d26845d", "original_id": null, "input": "Premise: NAVEEN : Kuchh likhna nahin hai ispar ? ## KK : Abe wahi toh trick hai . Hum bolenge - 'Jab tum saamne hoti ho toh sab bhool jaate hain . Likhna bhi bhool gaye . ' ## PUSHPI : Chappal maaregi dekhna ! ## KK : Deepakwa ... aa na ! ## RUPPAN : Hum bike start kar rahe hain ... donon pitne lage toh ... ## \nHypothesis: KK koi trick bata raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "53ce5897-e117-4bfa-866e-3ee3c691f329", "original_id": null, "input": "Premise: NAFISA : Kya hua hai ? ## LADY : Allah jaane ... ## NAFISA : Inka mobile hi nahi mil pa raha Kabeer ... Noor Sahab ko karti hoon ... Ji Assalaam-wale-kum ... Nafisa bol rahi hoon ... Kabeer ke Abbu ka ... Aag ... Kaisi aag ji ... ## KABEER : Ammi ? Kya hua Ammi ? ## POLICE OFFICER : Aap pareshan nahi hon ... kafi flights cancel hui hain ... hum yahan se aapko wapis ... ## NAFISA : Ji iske Abbu ka phone nahi lag raha ... padosiyon ne bataya ki ghar pe aag lagi hai ... kahin voh ... ## POLICE OFFICER : Aap kidhar rehti hain ? Hum fauran local police station se pata kar letey hain ... ## \nHypothesis: NAFISA KABEER ki Ammi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "e04e0840-dbef-4aee-932c-41610c9eb4a0", "original_id": null, "input": "Premise: RAMANATHAN : Dekh . Time sahi nahin hai par main poochonga .. ## SHAHID : Kya ? ## RAMANATHAN : Baat hui ? ## SHAHID : Backlog mein chal rahi poori zindagi abhi . Shahid mobile starts to ring . Unknown number . ## RAMANATHAN : Toh phir kuuch kar . Aur tujhe zaroorat hai yeh sikhne ki na kaise bola jaaye . Tu sab case toh nahin lad sakta ? Jeena shuroo kar . ## SHAHID : Hello . ## MITALI : Hi , Mitali from global globepost . I was hoping to get an interview ? ## SHAHID : Ok . 8 pm . You have my office address ? ## MITALI : I do ... ## SHAHID : Bye . Puts the phone back . ## RAMANATHAN : Kaun ? ## SHAHID : Journalist . ## RAMANATHAN : Kya baat hai ? ## SHAHID : interview ! ## \nHypothesis: MITALI ke paas SHAHID ka office address nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "83fc61a4-c237-499e-915f-4466988b023a", "original_id": null, "input": "Premise: RAJIV : Sir .. Kamre mein khoon phaila hua hai .. gadda , chaadar poore khoon mein bheege hue hain . ## DHANIRAM : Main to yahaan Sameer Vihar mein hoon Sir .. SP saab duty laga ke gaye hain .. Ji .. ## DHANIRAM : Nahin Sir .. Kya baat kar rahe hain Sir .. Main kisi aur ko yahan pe bitha ke aata hoon sir .. Jee sir .. Jai hind .. ## DHANIRAM : Sample le liye hain humne .. ## PRAMOD NATHANI : To chhat pe daal dein ? ## DHANIRAM : Tumhara kambal , tumhari chaddar .. Chhat pe daalo ki sandook mein dalo . Main kya bataaoon .. ## \nHypothesis: Room mein blood faila hua hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "97319daa-104f-4841-9b75-74de55d7aad4", "original_id": null, "input": "Premise: RIANA : Tumhein bus phir se kisi ko date karne ki zaroorat hai . ## RAHUL : Wah ! Kya solution hai ! ## RIANA : Trust me , tumhari self esteem bahut hi low hai aur ladki pataane se zyaada ego boost kisi aur kaam mein nahi milta . Call Anusha . ## RAHUL : Main tumhein ignore kar raha hoon ## RIANA : Magar dinner par use poori attention dena , khaana kam aur sunna jyaada . Compliments dete rehna aur wine pilate rehna . ## \nHypothesis: RAHUL ka self esteem bahut low hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "66d8d2af-d403-4c0e-9d4a-78d740c5b01c", "original_id": null, "input": "Premise: SIKANDAR : Bata na ... kaise phansti hai ye angrejan sab ? ## VIKRAM : Kaa be ... bhaujaai de nahin rahi kaa aajkal ? ## SIKANDAR : Jitna poochh rahe hain wo bataao na ? Thoda bahut angreji bol lete hain ... ## VIKRAM : Angreji se nahin hota . 'Attract' hona chaahiye . Kundan yaad hai ? ## VIKRAM : Wo jo peepa-pul mein naav ghusaaya tha chootiya .. abhi Sweden ... ki Switzerland ... kaun jaane ... ghoom ke aaya apni memsab ke saath . ## VIKRAM : Arre kanjoos saala naav bechne waapas aaya hai . Phir jaayega . ## VIKRAM : Sab bhainchod langot pakad lo humaara ... hum ud ke jaa rahe hain turantey ! Patta phenko ! ## \nHypothesis: SIKANDAR abhi apni memsab ke saath ghoom ke aaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "01b63761-4926-4c82-be30-0b1badff71e2", "original_id": null, "input": "Premise: LEE COOPER : ga sekush deshita . On'nanoko wa watashi o suki ## MIKHAELO : da ! Every girl wants you . ## LEE COOPER : On'nanoko wa watashi o mushi shi ## MIKHAELO : How many ? ## TIM : Three today ... ## LEE COOPER : Daijoubu desu ka ## TIM : Are u ok ? ## RANI : Chhipkaliiiii ## TIM : Lezaaaarrrrdddd !!!!! ## MIKHAELO : yashcheritsa ## LEE COOPER : Tokage tokage tokage ## WARDEN : What is going on ? Why are you shouting ? ## \nHypothesis: LEE COOPER, MIKHAELO, TIM, RANI noise kar rahen hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "74bc2935-b985-425c-9ec7-b5e5209e775c", "original_id": null, "input": "Premise: NEELU : Gaadi khadi nahi . Pahunche nahi shayad . ## TITLI : Late hogaye honge . Bola tha mujhe kal , time lagega . ## NEELU : Ok . ## NEELU : Sun tu Daddy ki baat ka bura mat maniyo . Bada achcha ladka hai tu . A p n e beech mein t h o d i j o r jabardasti hogayi but .. mere mann mein ijjat hai tere liye badi . ## NEELU : Kabhi galti se teri parking mein aayi , toh paise mat liyo . ## TITLI : Bye . ## NEELU : Bye . ## \nHypothesis: NEELU TITLI se paisa maang rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "d156a07e-83f1-429e-94c1-ff83035dbb46", "original_id": null, "input": "Premise: MISRA : Good afternoon ... Vicky Thakur murder mein mere paas ek ajeeb tip aayi ... ## MISRA : Vicky ka killer kisi official vehicle mein bhaaga tha ... Aajkal Pakisatn mein hai ... Kahin aapke dream project ka hissa toh nahi hai ? ## ASHWINI : Kaunsa dream project ... Jo tumney bandh karva diya ... ## MISRA : Aapne bandh kahan kiya hoga ... Thoda toh main bhi jaanta hoon aapko ... ## ASHWINI : Thoda jaantey ho ... Poora nahi ... ## \nHypothesis: Vicky ka killer aajkal Pakistan mein hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "64c2520d-7ab3-4c65-9fe1-1494212bc256", "original_id": null, "input": "Premise: SHAHID : Hello .. ## SALMA : Haan Vakil Sahab . ## SHAHID : Hamara case aaj asaan ho gaya . ## SALMA : Bhai aaj toh court date nahin tha . ## SHAHID : Jisne woh maps diye the usne aaj maan liya America mein ki usne diya tha maps atankwadiyon ko . ## FAHIM'S WIFE : Bhai . Yeh aapke hissab se achcha hai na ? ## SHAHID : Haan . Teen May aur sab thik . She starts weeping . ## SHAHID : Yeh kya ? Mujhe toh laga tha ki tum zor zor se hansogi . Achcha saath mein hansne ki bhi koshish karo . ## \nHypothesis: Aaj toh court date nahi tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "9f003a7b-e610-4557-9bbb-e19bce572d61", "original_id": null, "input": "Premise: SI BENIWAL : Area mein poochh-taachh kar rahe hain . Kuchh habitual offenders ki questioning bhi chalu hai . Madam , aapne unka registration number note kiya hota toh matter kaafi simple hota . ## SI BENIWAL : Nahin ? ## SI BENIWAL : Yeh shaher badhta bachcha hai , Sir . Kood to lagaayega hee . Aapko inko aise raat mein akele travel nahi karne dena chahiye . ## SI BENIWAL : Aapki DIG saab se achchi pehchaan hai . Aap inke liye ek gun licence kyon nahi apply kar lete ? ## MEERA : Gun ? ## \nHypothesis: Madam ne registration number note kiya isse matter simple ho gaya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "b730729e-ae23-45a9-8c68-be53fe716bc6", "original_id": null, "input": "Premise: ASHWIN : Tumne bulaya tha kya mujhe ? ## DATE : No .. ## ASHWIN : Maine drink .. piya tha na tumhara . ## DATE : Cheers .. ## ASHWIN : Arrey .. Cheers to karne do . ## ASHWIN : Chalo ander . Ek meri taraf se . ## DATE : Sorry .. Mujhe jana hai . ## ASHWIN : Kahan ? Uske ghar ? ## DATE : Haan .. ## ASHWIN : Hello .. Koi hai .. ## ASHWIN : Aspatal hai koi aas paas ? ## ASSISTANT : Please call for an ambulance . ## LOBBY MANAGER : Kya hua ? ## ASHWIN : Kya nahi kyon hua poochiye . ## LOBBY MANAGER : Kyon ? ## ASHWIN : Wahi purani ladai ki jadh .. Ladki .. ## LOBBY MANAGER : Kaun tha ..? ## ASHWIN : Main . ## \nHypothesis: ASHWIN DATE se keh raha hai ki Maine tumhara drink nahin piya tha.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "0934d6c6-0fc1-4489-a936-219aae65f8eb", "original_id": null, "input": "Premise: MARIAM : Kya hua . Sirf 3 ghante hi to wait kiya na ? ## SHAHID : Kya main aapko .. To make up , sorry .. main kya bol .. Haan .. Kya main aapko coffee shop ... chal sakte hain saath ... Hum ? ## MARIAM : I dont drink coffee . ## SHAHID : Cold coffee ? Assamese chai bhi milegi ## \nHypothesis: MARIAM doesn’t drink coffee", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "5990938a-ac5c-4fa2-ab6c-9d59f4f9aad2", "original_id": null, "input": "Premise: MUKESH : Pinky ... Pinky ... ## RANVEER : Kya problem hai ? ## SATBIR : Behen hai meri . ## PINKY : Bhai ... chhod de bhai ... bhai jaane de ... ## FAUJI : Chaabi kiske paas hai ? ## RANVEER : Boss ... ## SATBIR : Bhosadi ke , bola na behen hai . ## \nHypothesis: SATBIR ki behen hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "bd0c97de-545b-4b80-a74c-bfbbd2787933", "original_id": null, "input": "Premise: MOTHER : Arre Rishi , tum , bhaiya ? ## CHACHA : Kaisi ho bhabhi ? ## MOTHER : Theek hi hain .. Tum toh aise gayab ho gaye ki tumhara pata hi nahin .. ## CHACHA : Aa jaaonga- aise hi- jaise aaj aa gaya ki nahin ? ## MOTHER : Aa ke mil lo Rishi- Aisa na karo bhaiya , hain ? Bada yaad karte hain tumhe , din raat .. ## \nHypothesis: MOTHER ne CHACHA se aa ke na milne ko kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "45166d8a-2a4d-4e1b-b71c-b3011bd02920", "original_id": null, "input": "Premise: ANUSHA : Hi !! ## RAHUL : Hello ! ## ANUSHA : Toh kya karna hai ? ## RAHUL : Uhh .. Pehle khana kha lete , khana thanda ho raha hai . ## ANUSHA : I hope , sense of humor ke alava baki sab kuch bhi improve hua hai . ## RAHUL : Haan , definitely . ## ANUSHA : Ek kaam karo is taraf aao . ## ANUSHA : Betho . Seat toh bandh karo . ## ANUSHA : What ? ## MAN OUTSIDE : Sorry . ## RAHUL : Mujh se nahin hoga . ## ANUSHA : Kya . ## RAHUL : Mujhe bahar jaana hai . ## ANUSHA : Oh , you wanna play shy with me ? ## RAHUL : Anusha please-- ## RAHUL : Please !! ## \nHypothesis: ANUSHA ne kaha ki sense of humor improve nahin hua hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "234fe0bc-147d-486a-9529-fe97a02757d1", "original_id": null, "input": "Premise: SHAHID : Bhai , Law assistant ki opening mili hai . Maqbool Menon ke saath . ## ARIF : Good . ## SHAHID : Job chodna padega . ## ARIF : Journalist wali ? Kaise chalega ? ## SHAHID : Main bhi yahi soch raha tha . Shahid looks down as he walks . Arif who is curious for his reaction keeps looking as they walk but Shahid avoids to look up . ## ARIF : Kuuch milega ? ## SHAHID : Haan , Bhai . Arif asks how much without saying . ## SHAHID : 2 hazaar . ## SHAHID : Kaise karenge ? ## ARIF : Tension mat lo . Hai ek idea . ## SHAHID : Ok ## ARIF : Ab ghar jaa .. Shahid starts walking as Arif stands there . ## ARIF : Zyaada der ruke mat rahna yahaan Shahid looks back and makes an eye contact . ## SHAHID : Dekh lena , 2 saal mein log mujhe jaanenge , bhai . ## \nHypothesis: Do saal mein log SHAHID ko jaanenge", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "3d9cb226-d3d2-41bf-97e0-176c3700f5fa", "original_id": null, "input": "Premise: JUNIOR OFFICER : Sir , Dr . Tandon ka compounder hai .. Khempal uske gaon se hi hai .. ## KANHAIYA : Saab .. thoda rasiya type ka hai apna Khempal .. Ek number ka tharki .. Shruti baby pe dil aaya hua tha uska .. ## JUNIOR OFFICER : Par Wo to dada hai na ? Do pote hain uske . ## KANHAIYA : To ... Dada ke bhi to dil hota hai na saab .. ## \nHypothesis: Khempal ke teen ladke hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "e6c91af3-4204-484a-8c1a-a26374e59ac0", "original_id": null, "input": "Premise: RAHUL : Mom ne kahaa thha ki woh tere room mein mattress ki wajah se shift hui hain , par dono kamron mein same mattress hai . ## ARJUN : Whaaat ? Dono kamron mein same mattress ! Ab kya hoga Sherlock ? ## RAHUL : Shut up Arjun . Mom aur dad alag kamron mein so rahe hain ? ## ARJUN : Dad ke saath paintees saal bita le , tu bhi alag kamre mein soega . ## RAHUL : Tu tape-recorder chhod kar sadak pe dhyaan de . ## ARJUN : Itna dar lag raha hai toh khud gaadi chalana seekh le na . ## RAHUL : Aati hai mujhe .. I'm just not comfortable driving . ## ARJUN : Ye kya hai bhai sahab ? ## LANKY MAN : Chutta nahin hai sir . ## ARJUN : Toh ? ## LANKY MAN : Toh 23 ka toll aur 7 ka Lollipop . ## RAHUL : What the-- ## \nHypothesis: LANKY MAN ne 23 ka Lollipop de diya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "239f361a-9bd1-4b25-b95e-b06055361383", "original_id": null, "input": "Premise: PRADEEP : UP ka number hai . Saath aath ka model . ## VIKRAM : AC ? ## PRADEEP : AC Petrol . ## VIKRAM : Jhumke bade pyaare pehne h a i n laundiya ne . ## PRADEEP : Noida waale south ko bhi peeche chor re hain . ## VIKRAM : Teri bhabhi pe khoob khapenge . ## PRADEEP : Bhabhi koi apni south delhi se kam hai . ## PRADEEP : Bas karo bai half time ho gaya . ## \nHypothesis: Bhabhi ki beauty ki PRADEEP taarif kar raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "8903fe19-731f-4814-bc61-f99549c0e313", "original_id": null, "input": "Premise: MOTHER : Arre Rishi , tum , bhaiya ? ## CHACHA : Kaisi ho bhabhi ? ## MOTHER : Theek hi hain .. Tum toh aise gayab ho gaye ki tumhara pata hi nahin .. ## CHACHA : Aa jaaonga- aise hi- jaise aaj aa gaya ki nahin ? ## MOTHER : Aa ke mil lo Rishi- Aisa na karo bhaiya , hain ? Bada yaad karte hain tumhe , din raat .. ## \nHypothesis: CHACHA ne MOTHER se kaha ki mai aaunga. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "9ea07edc-6650-4ec1-a09d-5cdd96df272c", "original_id": null, "input": "Premise: RAHUL : Dadu yeh maal kahaan se laye hain ? Fuuuuck man ! ## ARJUN : Saale tu jitna perfect banta hain utna hai nahin . Tu Mom dad ka favorite bana kaise ? ## RAHUL : Mom dad hum dono ko equally pyaar karte-- ## ARJUN : --Kaminey , seedhe mooh toh bol de . ## RAHUL : You know what ... main teri jagah ek second mein le loon ... ## ARJUN : Yeah right ... ## RAHUL : Arrey jitne taane maar lein , atleast woh tujhe jaante toh hain . Mujhe toh woh jaante bhi nahin . ## RAHUL : Tujhe ek baat bataun . jo iss ghar mein maine kisi ko nahin batayi . ## \nHypothesis: ARJUN ne RAHUL se kaha ki tu perfect hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "dad4fd94-ab22-4204-8a86-f29973c4b02c", "original_id": null, "input": "Premise: SHAHID : 10 minute mein session hai . Bol . ## RAMANATHAN : Tu yakin nahin karega . ## SHAHID : Kya ? ## RAMANATHAN : Abhi abhi aaya hai . Judge ne Sohail case pe enquiry baitha di hai . Shahid stands still ... Coming to terms and then a gentle smile ... ## SHAHID : Kaise ? ## RAMANATHAN : Unko laga ki case withdraw kyon hua ? Kuuch lafda hai , samajh gaye . Shahid smile expands a bit and more ## \nHypothesis: Judge ne Sohail case pe enquiry baitha di hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "5db41ede-4e9e-4c16-8980-8241c80308e9", "original_id": null, "input": "Premise: JAYA : Sandhya Bhabhi , Kanoon ki naa sahi - hamari hi sun lo . ## SANDHYA : Pehle inko bolo mujhse maufi maangane ko . ## PREM : Hath kisne pahle uthaya tha ? Maufi pehle tum maango . ## SANDHYA : Aur majboor kaun kara mujhe , hain ? Pehle tum sorry bolo . ## PREM : Sorry . ## SANDHYA : Sorry . ## HEMA/REKHA : Chal pado ghar , sab theek ho jaayega . ## PREM'S FATHER : Bahu , main jimmedari leta hoon sab cheej ki . Chal par baapis . ## SAMAR : Buaji , B . Tech . se badiya toh L . L . B . kar leta hoon main ! Aane waale time mein bahut kamayi hone waali hai , is kaam mein . ## \nHypothesis: SANDHYA aur PREM ne JAYA ko sorry bola. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "44eb49cd-e9ad-4f19-8c2b-15d41ef33029", "original_id": null, "input": "Premise: SHYAMA : Kaadha pee lo didi . Doctor sahab ne bola hai ... ## SHYAMA : Kaadha pee lo . ## PAKHI : Main pee loongi , mez par rakh do . ## SHYAMA : Abhi peeyo , hamaare saamne . ## PAKHI : Bola na mez par rakh do , pee loongi ... ## PAKHI : Mujhe maaf kar do . ## \nHypothesis: PAKHI ne SHYAMA se maafi maangi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "0279d861-2209-47ed-a747-2c34bb45e984", "original_id": null, "input": "Premise: GOVIND : Chavai gyo boss tu toh ! Ek minute ke liye mujhe laga ki gayi deal paani mein .. Woh Mrs . Srivastava ka mooh dekha ## ISHAAN : Yaar , ek minute ke liye soch .. agar hum yeh sports package Ahmedabad ke chhote .. bade .. sab schoolon mein offer karein to ? ## ISHAAN : In fact Ahmedabad chhor , Surat , Baroda , Rajkot .. dekhte dekhte poore desh mein Ahmedabad Sports Club ka thappa laga sakte hain ## ISHAAN : ..aur phir itne schools .. itne bachhe .. Soch kitna talent niklega ?? ## ISHAAN : Kone kone se dhoond nikalenge saalon ko .. phir tera dhanda dekh kahan se kahan pahuch jayega ..!! ## GOVIND : Sab hoga shreemaan .. sab hoga .. Main Dhirubhai ban jaoonga aur Omi ko Chief Minister bana denge .. Par abhi rickshaw dhoonein ## \nHypothesis: GOVIND ko laga ke deal chali gai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "54dbe4c8-e295-4540-91eb-d06938390457", "original_id": null, "input": "Premise: BAUJI : Arre yeh chutney chakho .. ## MOTHER : Nahi nahi- humein nahi achhi lagti hai .. ## BAUJI : Arre kha kar toh dekho . Pehle hi har cheez mein na .. ## MOTHER : Kitney baras ho gaye hain ? ## BAUJI : 28 ! ## MOTHER : 28 ? Tum 28 baras se dhauns jama rahe ho mujh par ? Pichle janam mein bahut achhe karam kiye honge tumne , jo aisi achhi gharwali mili hai .. ## BAUJI : So toh hai .. ## BAUJI : Aur tumney ? ## MOTHER : Yeh janam toh cut gaya jaise taise- Main toh agle janam ka soch rahi hoon- abhi se .. ## BAUJI : Kaisa halka halka sa lag raha hai na sub .. Sub jhanjhat se parey .. Lag raha hai jaise akash mein udd raha hoon .. ## BAUJI : 105 ## MOTHER : Kuchh nahi .. ## BAUJI : Toh phir hansi kyun ? ## BAUJI : Arre kuchh bologi bhi ki khali khee-khee hi karti rahogi ..? ## MOTHER : Main kya boloon ? Tum hi udd rahe ho .. Batein toh badi badi karte ho anubhav ki .. Akash mein udne ka anubhav hai tumhe ? ## \nHypothesis: Mom ko aisa lag raha hai jaise wo aakash mein udd rahi hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "394ff9bb-930d-4c03-a22b-79f25147f883", "original_id": null, "input": "Premise: BOATMAN : Raja Ghaat ... Raja Ghaat ... boating ...? Haan ... madam ... Raja Ghaat ? ## DEVI : Kitna logey ? ## BOATMAN : 50 rupaya ... Haan bhai ... Raja Ghat ? 50 rupaya ... aao ... ## DEEPAK : 30 theek hai ... ## BOATMAN : Chalo 70 mein donon ka ... aao ... baitho . ## \nHypothesis: bargaining ke baad BOATMAN 35 rupaya per person le jaane ke liye taiyaar ho gaya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "88466344-478c-496f-998a-1a1cbaff4bcb", "original_id": null, "input": "Premise: ARJUN : Kyun , kya hua ? ## RAHUL : Papa called , Dadu got a heart attack . ## ARJUN : Shit ! Is he okay ? ## RAHUL : Ab stable hain , magar ICU main hain .. ## ARJUN : Unhone mujhe phone kyun nahi kiya ? ## RAHUL : Arjun , in baaton ke liye time nahin hai ... Maine saare flights check kiye hain , sirf Air India ki direct flight hai . Waheen lekar parsoe chaar baje pahunch raha hoon . Tum agar kal New Jersey se 7 : 40 ki flight lelo , toh hum dono airport se saath nikal sakte hain . ## ARJUN : Gimme a sec . ## RAHUL : Tumhare liye ticket khareed loon ? ## ARJUN : Koi zarurat nahin . Main manage kar lunga . ## \nHypothesis: Papa ne ARJUN ko call kiya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "914dd532-a957-414f-b595-4936e54cbfe5", "original_id": null, "input": "Premise: THE TEACHER : Farm bharne ki fees paanch sau rupaye hai . ## THE TEACHER : Chahiye toh , pharam abhi le jao , fees baadmein bhar dena . ## PREM : Pharam kitte ka hai ? ## THE TEACHER : Das rupaye . Prem gives a ten rupee note and buys the form from the teacher . ## \nHypothesis: PREM ne Farm abhi le liya, 500 rupaye fees baad mein bhar dega. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "0922559d-db2a-4042-9ee4-8ec20b0800f2", "original_id": null, "input": "Premise: PINKY : Didi ? ## PINKY : Didi , please ... please hamaari help karo ... Hum log bahot problem mein hain ... ## PINKY : Please , Didi . Main aur mera huaband ... Hamein saath le chalo ... ## MEERA : Sorry . ## PINKY : Didi , please , Didi ... ## MEERA : Side hato . ## \nHypothesis: MEERA PINKY se help maang raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "b4fb9894-b4b0-492a-ac9c-42ba0ab5c303", "original_id": null, "input": "Premise: DEVI : Hello ? ## YADAV : Hello ... Devi ? ## DEVI : Haan . ## YADAV : Saali Randi ... phone kyon bandh tha itne din se ? Kahaan se chudwa ke aa gayi ...? Sab pata kar liya humne ... tujhe kya lagta tha .. ## \nHypothesis: YADAV ne DEVI ko abuse kiya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "ad39c422-dae2-4529-960b-77f947be1a91", "original_id": null, "input": "Premise: APU : To tu school se vaapas aa gaya hai aur tere baap ke nathune phoonkaar maar rahe honge ... aur va bolta hoga ki no more padhai ... Waste of time ... join family business ... ## ROHAN : Tumko kaise pata ? ## APU : Har chhote shaher ke baap aise hi hote hain ... Family business ... ## AMBER : Very good very good ... ## APU : Dream business ... ## AMBER : Very bad very bad ... ## APU : Iss motu ko dekh ... isko bhi family business karna hai ... isiliye weight badha raha hai taaki bra fit ho sake ... ## AMBER : Tu dhande pe mat ja . ## APU : Bolo dhanda bhagwan ki ... ## SHIV : Jai ! ## \nHypothesis: Motu isiliye weight badhaa raha hai taaki bra fit ho sake", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "cd6ac290-99b9-4e32-8436-d23c896cd56b", "original_id": null, "input": "Premise: RITWIK : Yaar mera call hi le letey ya call karkey bata detey ! ## ANDREA : I didn't want to bother you - but aaj kuchh samajh mein hi nahi aa raha tha ! I thought ki si aur se baat karkey aur clearity aayegi ! ## RITWIK : Clearity hai tum logon ko ! Really you girls are brave - jab galti nahi hai toh bhaago mat - maafi mat maango - aur Minal ko jaake wapis complaint karni chahiye . ## ANDREA : They are here . ## RITWIK : Listen we got to pa- ## ANDREA : They are here . They are here . ## \nHypothesis: RITWIK is unhappy that ANDREA did not discuss the issue with him earlier. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "7a3a1a91-ee93-423a-9fb9-425bbc810916", "original_id": null, "input": "Premise: MIKHAELO : This ? ## RANI : Yes very good massage ## MIKHAELO : It's not for the neck ## RANI : pata hai ! Its for neck , back , shoulders aur haan head ! dadaji ke liye hai ... my grandfather ## MIKHAELO : What ??? ## RANI : Jodon mein dard hai na ... tch ... arthritis ## RANI : for mummy ... multicolour na ... (to herself) sab ke saath jayega ## RANI : This for chintu , my brother ... he loves playing chor police ## \nHypothesis: RANI loves playing chor police", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "de1ccff4-1137-46ad-adbb-3c1f98ebe18a", "original_id": null, "input": "Premise: ROHAN : Aapne bulaya tha sir ? ## BHAIRAV : Late kyon hua aaj ? ## ROHAN : Arjun ko school chhodne gaya tha . ## BHAIRAV : Subah late kyon hua ? ## ROHAN : Bathroom mein tha . ## BHAIRAV : Baal bana rahe the ? ## BHAIRAV : Factory mein koi der se aaye , humko pasand nahin hai Rohan ... khaas taur se agar vah mera beta ho ... ## ROHAN : Sirf paanch minute der hi to hua tha ... ## BHAIRAV : To ? ## ROHAN : To ye ki bas paanch minute late tha aur agar aap impatient hokar gaadi mein bhaag nahin gaye hote to hum late nahin hote ... ## BHAIRAV : Aawaaz neeche karo ... ## ROHAN : Main chilla nahin raha hoon . Main vah bol raha hoon jo ... ## BHAIRAV : Phir kabhi oonchi awaaz mein humse baat mat karna ... ## BHAIRAV : Hahn Mrs . Batra ... boliye ... ## \nHypothesis: ROHAN subah late ho gaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "0188092a-231b-4b76-b342-ed2cff23afb4", "original_id": null, "input": "Premise: LADY : Tumhein bar license nahin milega ? ## SHAHID : Kyon ? ## LADY : Kyon ? Kyonki tum terrorist thay . Tum 5 saal jail mein thay . ## SHAHID : Please ek baar rule book mein criteria check kar lijiye . ## LADY : Tum sikhaoge mujhe mera kaam ? ## SHAHID : Sorry . Mujhe pata hai aap yahaan 20 saal se hain . Aur jisse bhi suna hai aapke baare mein , achcha hi suna hai . But Madam , I am eligible . Maine kabhi bankruptcy file nahin ki hai na Koi naityik bhrastachar . Sirf in grounds par mera application reject ho sakta hai . ## LADY : Ok .. Let me check . ## LADY : Main yahan 20 saal se nahin 12 saal se hoon . ## \nHypothesis: LADY yahaan 20 saal se hain .", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "4c6cac61-1102-417f-9c9d-1159fda3d497", "original_id": null, "input": "Premise: NAVEEN : Kuchh likhna nahin hai ispar ? ## KK : Abe wahi toh trick hai . Hum bolenge - 'Jab tum saamne hoti ho toh sab bhool jaate hain . Likhna bhi bhool gaye . ' ## PUSHPI : Chappal maaregi dekhna ! ## KK : Deepakwa ... aa na ! ## RUPPAN : Hum bike start kar rahe hain ... donon pitne lage toh ... ## \nHypothesis: NAVEEN wants KK to write something.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "bafe2114-aa35-40a8-a3cb-c5829fbced6c", "original_id": null, "input": "Premise: MRS. VERMA : Terey liye ## RANI : Thank you aunty ## MRS. VERMA : tu waisey paris mein kya kar rahi hai ? Friend se milney aayi ? ## GRANDMUM : Ab jaisey bhi dil behel jaaye bechari ka ## MR. VERMA : Tch ## RANI : Main yahan honeymoon ke liye hoon ## MR. VERMA : Tch ## \nHypothesis: RANI Friend se milne Paris gai hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "05f5bc70-ddf5-473b-95ca-651f04142d0b", "original_id": null, "input": "Premise: SAXENA : Main Warden se baat karoonga ... ## SHAHID : Thank you , Sir ... Koi scholarship mil sakti hai ?.... ## WAR : Koi problem hai ?... ## SHAHID : Ghar waalon se nahin maang sakta ## WAR : Main tumhari fees doonga . Shahid is puzzled ... ## WAR : Par Omar , Aftab se milna band karoge ? ## SHAHID : Main aur kisi ko nahin jaanta yahaan . ## WAR : Humein jaante ho ... Shahid looks down .. ## WAR : Thik hai , Sunday ko tum uske saath chess khel sakte ho . Par marks kam aaye to sab band ... Thik hai .. ## \nHypothesis: SAXENA Warden se baat karega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "a0322f88-4a13-4db3-beb4-60b224aaa7ab", "original_id": null, "input": "Premise: MRS.KAPOOR : To you too babyyyy !! Maine phone kiya tha do din pehle ## RAHUL : Sorry , Main Woh kaam pe tha .. ## MRS.KAPOOR : Oh I wish tum new years ke liye humare saath yahan hote .. ## RAHUL : Ahh .. Main bhi kuch aisa hi soch raha tha mom . ## MRS.KAPOOR : Really ? ## RAHUL : Aapka New years kaisa tha ? ## MRS.KAPOOR : Oh was fantastic . Shah's ne Mr . Bulani ke liye ek party throw ki thi , everybody was there .. ## RAHUL : Actually mom , mujhe kahin jaana ha .. I'll see you soon . ## MRS. KAPOOR : See me ? ## RAHUL : I mean , I'll .. I'll ... I'll call you soon . Bye ## RAHUL : marvawgi mujhe ! ## RIANA : sorryyyyy ! ## RAHUL : Kahan ja rahe hum ? ## RIANA : School ! ## RAHUL : School ? ## \nHypothesis: RAHUL kaam pe tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "42e2a52f-a2bf-4902-8579-bf7f2e12d314", "original_id": null, "input": "Premise: OMI : Jai shri Krishna mama . ## OMI: : Haan .. Station hi ja raha tha .. Kyun ? Ji .. Sabarmati express .. Haan S6 , ji mujhe pucca pata hai , S6 hi hai .. Kyun ? ## OMI: : Achha .. Theek hai .. aata hun ## OMI : Ghuma lo .. Party office ## \nHypothesis: OMI OMI ko Party office chalane ko keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "3bd781b9-bb38-46f3-9196-ae3755cdcf85", "original_id": null, "input": "Premise: DEEPAK : Bol kaunsa raag hai ? ## DEEPAK : Andar aao ! Baitho ! ## DEEPAK : Yeh wala kaunsa ? ## DEEPAK : Chal tu kuchh suna ! ## VENDOR : Hum sir ... hum ... humko toh sirf gaon ka - ## DEEPAK : Suna ! ## VENDOR : Aah - ## DEEPAK : Sunao - sunao - ## SINHA : Aaj kaun phansa ? ## GUPTA : Akhbar wala ! ## \nHypothesis: DEEPAK raag suna raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "ea87029e-63a4-42f5-a40c-85a81e6074b1", "original_id": null, "input": "Premise: JAYA : Sandhya Bhabhi , Kanoon ki naa sahi - hamari hi sun lo . ## SANDHYA : Pehle inko bolo mujhse maufi maangane ko . ## PREM : Hath kisne pahle uthaya tha ? Maufi pehle tum maango . ## SANDHYA : Aur majboor kaun kara mujhe , hain ? Pehle tum sorry bolo . ## PREM : Sorry . ## SANDHYA : Sorry . ## HEMA/REKHA : Chal pado ghar , sab theek ho jaayega . ## PREM'S FATHER : Bahu , main jimmedari leta hoon sab cheej ki . Chal par baapis . ## SAMAR : Buaji , B . Tech . se badiya toh L . L . B . kar leta hoon main ! Aane waale time mein bahut kamayi hone waali hai , is kaam mein . ## \nHypothesis: HEMA ghar chalne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "9ea55e8e-56f0-46d1-b94a-09c88cbcfdef", "original_id": null, "input": "Premise: I.G. : Like father like daughter .. Chhee chhee chhee !! ## I.G. : Sir ... we're from the anti corruption bureau ..! ## JK : Arre ... Guru .. ## I.G. : JK . Tu kya kar raha hai yahan ? ## JK : Arre yaar saala deputation aa raha hai na next year .. ## I.G. : Kahan ja rahe ho ? ## JK : Kya pata yaar .. May be CDI .. Tu kaise yahan ? ## I.G. : The Noida double murder case .. you know , the young girl and the servant .. (gestures towards CM's cabin) Reporting to 'high-command' ! ## JK : Any leads ? ## I.G. : Working on it .. ## I.G. : Bahut achhi Malt bacha rakkhi hai tere liye .. Kab aa raha hai ? ## JK : Jab bhi yaar .. it takes just an hour from Gurgaon to Noida .. ## I.G. : Theek hai next week . ## \nHypothesis: JK issi week Noida aa raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "6f85e968-635c-4123-ae8e-19cbea5ff8f6", "original_id": null, "input": "Premise: RANVEER : Dikhaao kahaan hai 'no parking' sign . ## TRAFFIC CONSTABLE : Aagey lagaa hai . ## RANVEER : Toh maine aagey park kari hai ? ## TRAFFIC CONSTABLE : Sau meter ke andar hai . Chalaan toh katega . ## RANVEER : You go sit inside . ## RANVEER : Ridiculous , yaar . Koi 'No Parking' ka sign dikh raha hai ? ## MEERA : Toh fine kyun diya ? ## RANVEER : Just trying to impress you . ## MEERA : Nice try . ## \nHypothesis: RANVEER ne kaha ki maine aagey park kari hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "a7b36338-98a6-4771-8922-cf63e254ed15", "original_id": null, "input": "Premise: MARIAM : Kya hua . Sirf 3 ghante hi to wait kiya na ? ## SHAHID : Kya main aapko .. To make up , sorry .. main kya bol .. Haan .. Kya main aapko coffee shop ... chal sakte hain saath ... Hum ? ## MARIAM : I dont drink coffee . ## SHAHID : Cold coffee ? Assamese chai bhi milegi ## \nHypothesis: MARIAM ne jaane se mana kar diya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "facf2217-b7ec-4d7f-928c-355321ea1c79", "original_id": null, "input": "Premise: DR. TSERING : Congestion badhta jaa raha hai ... ## DR. TSERING : Pakhi ... meri baat sun rahi ho ? ## DR. TSERING : Kissi garam jagah jaakar rahna chahiye tumhe ... zyaada jeeyogi ... ## PAKHI : Marna to hai hi ek din doctor uncle ... kya karoongi ji kar ? ## DR. TSERING : Ek aur kitaab likh sakogi ... ## PAKHI : Jo likh rahi hoon , ussi mein hi saari zindagi khatam ho jaati hai ... ## \nHypothesis: DR. TSERING ek kitaab likh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "39e0eeb0-1a17-4fb0-abc1-1ec174704cba", "original_id": null, "input": "Premise: ROHAN : Kaisa lag raha hai ? ## ROHAN : Khaana khaaya ? ## ROHAN : Sir Calcutta gaye hain ... tum khush nahin ho vah Calcutta gaye hain ? ## NURSE : Mr . Kashyap ... please chillaiye mat . Patients so rahe hain yahaan ... ## KASHYAP : Mujhe kissi ne subah khaana nahin diya . ## NURSE : Aap so rahe the , main bhijwaati hoon ... ## KASHYAP : Mujhe bahut bhook lagi hai ... ## KASHYAP : Ghoor kyon rahe ho ? ## ROHAN : Nahin ... hum ## KASHYAP : Isko kya hua hai ? ## \nHypothesis: Nurse KASHYAP ko chillane se mana kar rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "b0cd08f3-7c6e-4e18-8d1c-591bc76f92e0", "original_id": null, "input": "Premise: ASLAM : Sir kuch zyada hi bharosa nahi jeet gaya main ? Vicky Thakur ki supari di hai Pappu ne ... Uske baad mujhe nikalney ka arrangement kareingey ... ## ASHWINI : Uda do ... Maal kha gaya hoga shayad unka ... Good riddance ... ## ASLAM : Vardi mein naa hon toh saale officer bhi gangster hi lagte hain ... ## ASLAM : Baat baat pe udaa do ... Thok do ... Lekin kyon nahi kahe ... Jab kaam tamaam hota hai toh unki kahan thunkti hai ? Woh toh hum chutiye marte hain ... ## \nHypothesis: Pappu ne Vicky Thakur ki supaari di hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "86922f21-8d71-4efe-8286-f9a65f22c3a4", "original_id": null, "input": "Premise: BHAIRAV : Paanch minute late ... ## ROHAN : Baal bana raha tha . ## BHAIRAV : T-shirt pe kya hai ? ## ROHAN : Who gives a hash at the rate of dollar per se ... ## BHAIRAV : Factory mein yah sab leechad kapda pahan kar nahin jaa sakte ... ## ROHAN : Mere paas sab yahi hai . ## BHAIRAV : Jaake meri almaari mein se kameez le lo . ## BHAIRAV : Aur baal banaane mat lag jaana nahin to ghar ke saare sheeshe tod doonga tumhaare sarr pe ... now run ! ## \nHypothesis: ROHAN paanch minute late tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "1ae764da-e50a-4478-9ce4-f8c2125e1c8a", "original_id": null, "input": "Premise: RIANA : Ise annul karana padega ! ## RIANA : Daro mat , annulment aur divorce mein bahut farak hai . Brtney spears ne bhi ki-- ## RAHUL : --Pata hai mujhe . ## RIANA : Good . Number 3 with a blueberry shake please . ## \nHypothesis: RAHUL knows that annulment and divorce are different. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "3607bd8c-2486-4dc0-9e04-b2805d7e2746", "original_id": null, "input": "Premise: AMMAJI : Chhorey tanne manaa karya tha na jaane se ? ## KAMLESH : Koi milne aaya hai . ## AMMAJI : Kaun ? ## AMMAJI : Kaun sa ? ## KAMLESH : Boli thaare se kaam tha . ## MEERA : Sarpanch ji ? ## KAMLESH : Arey yehi to hai Sarpanch ji . ## MEERA : Mera husband ... please woh ... Please ... ## AMMAJI : Beti ? Ke hoya ? ## AMMAJI : Bhumia ! ## AMMAJI : Bhumia ! ## BHUMIA : MIL GAYI , AMMAJI. ## \nHypothesis: KAMLESH ko Sarpanch se kaam hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "f1680add-81db-456d-a45d-53d62545d11b", "original_id": null, "input": "Premise: RAMANATHAN : Dekh . Time sahi nahin hai par main poochonga .. ## SHAHID : Kya ? ## RAMANATHAN : Baat hui ? ## SHAHID : Backlog mein chal rahi poori zindagi abhi . Shahid mobile starts to ring . Unknown number . ## RAMANATHAN : Toh phir kuuch kar . Aur tujhe zaroorat hai yeh sikhne ki na kaise bola jaaye . Tu sab case toh nahin lad sakta ? Jeena shuroo kar . ## SHAHID : Hello . ## MITALI : Hi , Mitali from global globepost . I was hoping to get an interview ? ## SHAHID : Ok . 8 pm . You have my office address ? ## MITALI : I do ... ## SHAHID : Bye . Puts the phone back . ## RAMANATHAN : Kaun ? ## SHAHID : Journalist . ## RAMANATHAN : Kya baat hai ? ## SHAHID : interview ! ## \nHypothesis: SHAHID saare case nahi ladd sakta", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "222a291b-f9b4-4273-8eb7-1306cffffc63", "original_id": null, "input": "Premise: DHANIRAM : School mein koi problem ? Koi boyfriend ..? ## NUTAN : She was just 14 years old . ## DHANIRAM : Best friend koi ladka ? ## DHANIRAM : Ya ladki ? ## RAMESH : Why don't you understand ? Its Khempal ! Ghar mein 4 log thhe . Do zinda hain .. ek dead aur ek gaayab . I will appreciate it officer if you will stop wasting your time ## \nHypothesis: DHANIRAM appreciate karega agar RAMESH time waste karna bandh kar de", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "8849fe6a-87fb-45cb-b732-d8ccbfeb77b7", "original_id": null, "input": "Premise: RAHUL : Aise hi chala jayega .. Bina kisi se baat kiye . ## RAHUL : Mom ko humari zaroorat hai Arjun . ## ARJUN : Mom ko humari nahin tumhari zaroorat hai . ## RAHUL : Mujh se toh woh baat bhi nahin kar rahi .. Aur shaayad kabhi nahin karengi . ## ARJUN : Nothing you can do will ever disappoint her . ## RAHUL : What if I told you I have lied to her my whole life , and I've no interst in Tia or any other girl for that matter ? ## RAHUL : You don't have to say anything .. Just stay back a little longer .. ## ARJUN : I can't . I need sometime . ## DHARAMENDRA : Taxi aa gayi hai . ## \nHypothesis: ARJUN agreed to stay back a little longer. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "11611dc9-a80c-4989-bb0c-b86e62b8133d", "original_id": null, "input": "Premise: RAMANATHAN : Article padha ? ## SHAHID : Nahin . ## RAMANATHAN : Link email kar diya hai . ## SHAHID : Thanks . ## RAMANATHAN : Pahle padh le . Koi Mitali hai . ## SHAHID : I will . Bye . ## \nHypothesis: RAMANATHAN SHAHID ko dusare logon se pahle article padhne ko kah raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "5b9c5c60-5ae3-482e-bf7e-9868e0531d2e", "original_id": null, "input": "Premise: MISRA : Good afternoon ... Vicky Thakur murder mein mere paas ek ajeeb tip aayi ... ## MISRA : Vicky ka killer kisi official vehicle mein bhaaga tha ... Aajkal Pakisatn mein hai ... Kahin aapke dream project ka hissa toh nahi hai ? ## ASHWINI : Kaunsa dream project ... Jo tumney bandh karva diya ... ## MISRA : Aapne bandh kahan kiya hoga ... Thoda toh main bhi jaanta hoon aapko ... ## ASHWINI : Thoda jaantey ho ... Poora nahi ... ## \nHypothesis: MISRA ne kaha ki aap ne apana dream project bandh kar diya hoga. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "91deb531-d644-4ada-abb0-24bbb753f8b2", "original_id": null, "input": "Premise: JIMMY : Big man ... ## JIMMY : Tumhaare thobde ko kya hua ? ## ROHAN : 'Sir' ne maara ... ## JIMMY : Kyon ? ## JIMMY : Achcha chalo ... utho ... kuch dikhaana hai tumhe ... ## \nHypothesis: ROHAN ko Sir ne maara", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "9ab095c6-a29e-4ffb-a22a-24e47934ffad", "original_id": null, "input": "Premise: RAHUL : Come on Tia , show me your moves ! ## TIA : Kaunse moves ? ## RAHUL : Arrey har kisi ka ek trademark step hota hai . Jaise mera ? Jab party shuru hoti hai toh main milk shake banata hoon ... ## RAHUL : Phir jaise mood banta hai main istri maarne lagta hoon , aise ... Aur jab music perfect ho toh main gaadi bhi dhone lagta hoon ! ## TIA : Normally main aise nachti hoon . ## RAHUL : Oooh ... Yeh shampoo ad wala step hai ... ## TIA : Lekin jab main bahut high ho jaati hoon toh main ## TIA : Sexy chakki peesne waali ban jaati hoon .. ## \nHypothesis: RAHUL party mein milk shake banakar bechata hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "e6773ec8-5252-4e96-b7e1-de306b3e0aa9", "original_id": null, "input": "Premise: THE GIRL : Itney andhere mein itna seedhey chaltey ho ... Yaa toh chor ho yaa sipahi ... ## THE GIRL : Log aksar ghoorke nazar pher lete hain ... ## RUDRA : Kyon ki woh dekh nahi paate jo main dekhta hoon ... ## THE GIRL : Kapde tum utaroge ya main utaaroon ? ## \nHypothesis: RUDRA andhere mein bhi seedha chalta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "bd6d7a03-337b-4f6d-8c53-5bc88b5e9fd0", "original_id": null, "input": "Premise: YADAV : Ae ... kya ho raha hai ? Kisne kaha yahaan aane ... ## DEVI : Apna samaan lene aayi hoon . Aur yeh aisa gandi baaton waala phone dobara mat karna ... sadak pe dauda ke maarenge ! ## YADAV : Topper ladka tha apna ... sharam nahin aayi ? ## DEVI : Jo bhi kiya donon ne kiya . ## YADAV : Mara toh wo akela na ! ## \nHypothesis: YADAV ne DEVI ko call kiya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "ad1fd1b9-d98a-43e6-9360-3da9982476fb", "original_id": null, "input": "Premise: OMI : To aap baat karenge baapu ? ## OMI : Bapuu ? ## OMI : Aap trustees se ek baar baat karenge na dukaan ke bare mein ? ## OMI'S FATHER : Tujhe kya pata hai dukaandari ke baare mein ? Kabhi vyapaar kiya hai ? Nuksaan hua to Kaun bharega ? ## OMI : Arre Bapu , Govind ne saari planning kar rakhi hai . Jis din jagah lock ho jayegi , hamaari partnership shuru . ## OMI'S FATHER : Trust ka sara kaam Bittoo dekhta hai . Yeh uchit nahi hoga ki main trustees se tere liye kuch maangoo . ## OMI'S MOTHER : Bapu ki baton mein mat aa .. tere apne mama hain .. Seedha jaake baat kar ne . ## OMI : Aap ek baar baat karke dekho na Ma .. ## \nHypothesis: OMI'S MOTHER OMI ko apane mama se baat karne ke liye bol rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "1e9d4f7c-8f5e-4022-b648-32236f3e8c11", "original_id": null, "input": "Premise: RAGHAVAN : kabhi kabhi mujhe lagta hai tujhe bahut khatarnaak death wish hai .. ## SIMMY : ho sakta hai death wish na ho ke .. gusse mein main tujhe maarna chahti hun .. ## RAGHAVAN : tu itni sexy kyon hai .. ## SIMMY : Kyonki tu itna chutiya hai .. He slaps her .. ## SIMMY : Gaadi thok doongi behanchod .. tera hath sambhaal ke rakh Raghavan takes a phone call . ## RAGHAVAN : Hello .. umm .. ## \nHypothesis: RAGHAVAN gaadi thok dega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "a6b547b5-47dc-4659-9a3e-d4f809ee9f79", "original_id": null, "input": "Premise: MARCELLO : You make the chicken tikki takka masala ? ## LEE COOPER : Taka ? ## RANI : Cooker nahi hai ? Seeti ke bina pakega kaise ? ## RANI : Gas nahi hai ? stove ? Induction heater ? Syaapa ## RANI : heeng ? ## LEE COOPER : Heeng ? ## RANI : Areyyy voh yaar .. English mein kya kehtey hain ## \nHypothesis: RANI pooch raha hai ki Taka ko English mein kya kehtey hain.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "38fb4729-40fd-4dee-a268-ff36df65751b", "original_id": null, "input": "Premise: ASHWIN : Hello .. ## REEMA : Hello Ashwin . ## ASHWIN : I am at work . ## ASHWIN : It's fine . Tell me ? ## ASHWIN : Mohanty ko phone lagao . ## REEMA : Tumhe wo dawai ka naam yaad hai . Dr . Banerjee ne prescribe ki thee , mere migraines ke liye . Subah se unka phone off hai . ## ASHWIN : Relpax .. ## REEMA : Relpax ! yeah !... Mujhe yaad hi nahin aa raha tha .. Thanks . ## ASHWIN : Mujhe laga tha ki mere jaane ke baad tumhare migraines ruk gaye hain . ## REEMA : Ruk gaye thay .. Phir shuru ho gaye . ## ASHWIN : Ijaazat film dekh rahi ho ? ## REEMA : Hmm . ## ASHWIN : Listen I have to go .. You take care .. ## ASHWIN : What's wrong ? ## VEDANT : His BP's gone dangerously low .. ## ASHWIN : Dr . Swamy . ## \nHypothesis: Dr. ne migraines ke liye Relpax dawai prescribe ki thee", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "2afda348-6ccb-4fda-8ca2-7420d41a61b1", "original_id": null, "input": "Premise: RAMANATHAN : Dekh . Time sahi nahin hai par main poochonga .. ## SHAHID : Kya ? ## RAMANATHAN : Baat hui ? ## SHAHID : Backlog mein chal rahi poori zindagi abhi . Shahid mobile starts to ring . Unknown number . ## RAMANATHAN : Toh phir kuuch kar . Aur tujhe zaroorat hai yeh sikhne ki na kaise bola jaaye . Tu sab case toh nahin lad sakta ? Jeena shuroo kar . ## SHAHID : Hello . ## MITALI : Hi , Mitali from global globepost . I was hoping to get an interview ? ## SHAHID : Ok . 8 pm . You have my office address ? ## MITALI : I do ... ## SHAHID : Bye . Puts the phone back . ## RAMANATHAN : Kaun ? ## SHAHID : Journalist . ## RAMANATHAN : Kya baat hai ? ## SHAHID : interview ! ## \nHypothesis: RAMANATHAN ne kaha ki main nahin poochonga, Time sahi nahin hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "80d11763-4370-4239-bc4e-0d4ebb9b5549", "original_id": null, "input": "Premise: PINKY : Didi ? ## PINKY : Didi , please ... please hamaari help karo ... Hum log bahot problem mein hain ... ## PINKY : Please , Didi . Main aur mera huaband ... Hamein saath le chalo ... ## MEERA : Sorry . ## PINKY : Didi , please , Didi ... ## MEERA : Side hato . ## \nHypothesis: PINKY bohot problem mein hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "a27de304-8d5e-4bda-90ad-4d5a2ef559f4", "original_id": null, "input": "Premise: KASTURI : Hello ! ## KASTURI : Namastey , uhh ... Kaun bol raha hai puttar ? ## KASTURI : Haanji puttar hai toh mera hi - par itni raat ko - ki ho gaya ? ## KASTURI : Kya ma tla b p utt ar - mai n k uch h samjha nahin ? ## \nHypothesis: KASTURI ki samajh mein kuchh nahin aaya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "0f438fdd-db68-441b-b2bc-7bddef22bcd9", "original_id": null, "input": "Premise: RAHUL : Din mein do baar , bas aise , ungli yahaan aur ye sui aapka sugar level check kar legi ... ## GRAND DAD : Ouch !! Ye kya gobar gift hai ? Kuch dhang ka lata ... ## RAHUL : Achcha toh kya chahiye aapko ? (grand dad does smoking weed action) Dadu kya aap bhi !? ## GRAND DAD : Arjun , tu kya laya hai mere liye ? ## GRAND DAD : Gems .. C'mon . ## RAHUL : --Arjun !! ## ARJUN : Blood mein sugar badhega nahin , toh tera gift kaise use karienge . ## \nHypothesis: ARJUN ne GRAND DAD ke liye Gems laya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "0d33c7d8-46db-40d0-82a0-0866bb50c6f5", "original_id": null, "input": "Premise: RANI : Mom smiles ## MOM : Eeeffel tower ? ## RANI : Real wala dikhaun ? (while showing pictures) Yeh ... aur yeh ... wishing wala bridge ... aur yeh dekho ... sunder hai na ? Aur yeh ... yeh to amsterdam hai ... ## RANI : Papa mujhe na ... Vijay ke yahan utaar dena ... kuch kaam hai ## \nHypothesis: Mom pictures dikha rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "6f225cf3-622c-43b6-8aaa-ebd1e6997e29", "original_id": null, "input": "Premise: APU : Kaun se school mein tha ? ## ROHAN : Bishop Cotton . ## APU : Kahan hai ? ## ROHAN : Shimla . ## APU : Tabhi tu pahadi jaisa dikhta hai ... ## AMBER : Rahne vaala to Jamshedpur ka hai na be ... ## APU : Thanda bahut lagta hogi tumko ? ## ROHAN : Yahaan ? ## APU : Hahn ... ## ROHAN : Kyon ? ## APU : Kyonki tu Shimla se hai ... ## AMBER : Ye Jamshedpur ka hai na be ... ## APU : Pata hai ... mazaak karrra Motu ... joke ... situp ... ## SHIV : Bolo motu ko joke nahin samjha ki ... ## \nHypothesis: ROHAN Pahadi jaisa dikhta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "d4def385-a07f-49a4-a83b-50f03195fcc5", "original_id": null, "input": "Premise: MOM : Pyar karti hai ... Chup chap tayaar ho ja ## MOM : Beta tu theek toh hai na (with moist eyes , rani nods) ho gaya ho to ab aaja , badi fikar ho rahi hai teri ## RANI : Main theek hoon aap jaao ## DAD : Raat ko bahar mat jaana ## MOM : Theek se khaana khana ## \nHypothesis: Mom RANI ko bula rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "b8dd77f4-2b7d-4531-b02c-449d965b01ed", "original_id": null, "input": "Premise: VIJAY : I love you ## VIJAY : I love you ## VENDOR : Didi ! ## VENDOR : Didi ... bhaiyya kuch keh rahey they ## VENDOR : I love you keh rahey they ## \nHypothesis: VIJAY I love you keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "4325260f-01a2-4188-819a-4b186af78c88", "original_id": null, "input": "Premise: SUNITA : Hello .. Nutan , Ramesh kahan hai ? ## NUTAN : Hum kisi police building mein hain . Wo Ramesh ko andar le gaye hain kisi identification ke liye . ## SUNITA : Nutan they're saying he killed her .. ## NUTAN : What ? What do you mean they ? Who ? ## NUTAN : Ramesh kahan hai ? ## FEMALE COP : Wo andar hai . ## FEMALE COP : Aap allowed nahin hain . ## NUTAN : Kaise allowed nahin hoon . I'm his wife .. ## SENIOR COP : Kya hua ..? ## NUTAN : Mere husband .. Unhe andar bandh kar rakkha hai . ## SENIOR COP : Dekhiye .. Yahan to koi nahin hai . ## \nHypothesis: Ramesh ko identification ke liye andar le gaye hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "619a9cf4-159c-46c9-bbf0-a445583cea82", "original_id": null, "input": "Premise: WOMAN : 50 euros ## RANI : What ? ## WOMAN : 50 euro for half an hour ## RANI : No .. Noo .. Vijaylaxmi ! ## WOMAN : Vijaylaxmi ?... Ohh Vijaylaxmi ! ## WOMAN : Come in come in ... Vijaylaxmi is my best friend ... sit sit .. you are ... queen ? ## RANI : Rani ## WOMAN : India ? ## WOMAN : Salaam aleikum ... hum rukhsaar ... yahan roxette ## WOMAN : From sharjah ... aap kya nosh farmaana pasand kareingi ... tea ? Coffee ? ## RANI : Nahin nahin ... aapkey liye ... yeh packet ## RUKHSAAR : Humari ammi ne bheja ... khajoor ... vijaylakshmi ka address hai unki paas ... yahan ka nahin de saktey ... unhey zara sa bhi ilm hua ke hum yahan hain .. To allah ko pyari ho jayeingi ## RUKHSAAR : Yeh to lena padhega ... khajoor nahin ammi ka paigaam-e-mohabbat hai ... bismillah karo ## \nHypothesis: RANI packet pahuchane aaya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "2e74647c-0c9d-40aa-a5e0-ccef8c4048cf", "original_id": null, "input": "Premise: ANUSHA : Hi !! ## RAHUL : Hello ! ## ANUSHA : Toh kya karna hai ? ## RAHUL : Uhh .. Pehle khana kha lete , khana thanda ho raha hai . ## ANUSHA : I hope , sense of humor ke alava baki sab kuch bhi improve hua hai . ## RAHUL : Haan , definitely . ## ANUSHA : Ek kaam karo is taraf aao . ## ANUSHA : Betho . Seat toh bandh karo . ## ANUSHA : What ? ## MAN OUTSIDE : Sorry . ## RAHUL : Mujh se nahin hoga . ## ANUSHA : Kya . ## RAHUL : Mujhe bahar jaana hai . ## ANUSHA : Oh , you wanna play shy with me ? ## RAHUL : Anusha please-- ## RAHUL : Please !! ## \nHypothesis: RAHUL ne mana ki sab kuch improve hua hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "b14012ba-6871-418e-9f45-ddd37fa82fd2", "original_id": null, "input": "Premise: MOM : chintu ko saath le jaana hai ? ## MOM : Computer se trunk call karti rehna ... do din mein ek baar ## MOM : Verma aunty ko zaroor milna ## MOM : Theek hai ? ## MOM : Theek hai ? ## RANI : Hmmm ... ## \nHypothesis: Mom do din me ek baar trunk call karne ko bol rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "2db6af1e-dff4-484d-a191-b69a1460db17", "original_id": null, "input": "Premise: I.G. : Like father like daughter .. Chhee chhee chhee !! ## I.G. : Sir ... we're from the anti corruption bureau ..! ## JK : Arre ... Guru .. ## I.G. : JK . Tu kya kar raha hai yahan ? ## JK : Arre yaar saala deputation aa raha hai na next year .. ## I.G. : Kahan ja rahe ho ? ## JK : Kya pata yaar .. May be CDI .. Tu kaise yahan ? ## I.G. : The Noida double murder case .. you know , the young girl and the servant .. (gestures towards CM's cabin) Reporting to 'high-command' ! ## JK : Any leads ? ## I.G. : Working on it .. ## I.G. : Bahut achhi Malt bacha rakkhi hai tere liye .. Kab aa raha hai ? ## JK : Jab bhi yaar .. it takes just an hour from Gurgaon to Noida .. ## I.G. : Theek hai next week . ## \nHypothesis: JK ko kuchh bhi nahin pata ki woh deputation par kahan jaa raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "72245e34-5532-4f7c-a2b6-c225561b3617", "original_id": null, "input": "Premise: GOLDMAN : Arre nahi bol sakta kahan jaa raha hoon ... Kaan nahi hai tera ... phone hai ... Baithke tape kar rahein hongey ... ## GOLDMAN : Poori agency laga di hai peeche ... Masjid kya giri mere peeche pad gaye ... Yahan se nahi gaya toh jail mein sadaenge ... Arre kyon gussa ho rahi ho ? Miltey rahenge ... Tu kaunsa saalbhar shooting karti hai ... Har do mahine baad aa jaana ... Haan haan ... Pehle jaane toh do ... Poori baat nahi sunti ... ## ASHWINI : That's it ...? ## ASHWINI : Pata kaise chala use extradition ke bare mein ?... Is room ke alava yeh information kisi ke paas nahi thi ... Phir kaise pata chala ? ## SENIOR OFFICER : Ashwini ... Agli baar pakad lenge ... ## ASHWINI : I hope so sir ... I hope so ... ## \nHypothesis: GOLDMAN poori baat nahi sunta", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "a2514fc6-bfce-49bb-a73a-dd8c77d060ef", "original_id": null, "input": "Premise: NEELU : Ye wala kaisa hai ? ## TITLI : Achcha hai . ## NEELU : Theek se bol . ## TITLI : J a l d i k a r . Prince wait kar ra hoga bahar . ## NEELU : Tu kar le tujhe karni hai toh . M u j h e time lagega c h o o j k a r n e mein . Budday gift hai , pasand aana chahiye saamne waale ko ! ## TITLI : Kaam kar len pehle . ## NEELU : Main kaam hi kar ri hun apna ! ## \nHypothesis: TITLI Prince ko bahar wait karne keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "6edcc49c-ec9e-43b3-b9f4-124653063942", "original_id": null, "input": "Premise: ARJUN : Hum kaun sa picture dekhne ja rahe hain ? ## ROHAN : Koi si bhi nahin . ## ARJUN : Lekin aapne to chacha ko bola ki hum ... ## ROHAN : Humne kissi ko kuch nahin bola . ## ARJUN : Humko Saif Ali Khan ki picture dekhna hai . ## ROHAN : Humko na to Saif Ali Khan dekhna hai na uski picture ... ## ARJUN : Hum sir ko bol denge ki tum unka car chura ke chalaate ho ... ## ROHAN : Tum ek shabd bhi unko bol ke dekho . Maar maar ke tumhaara bhurta bana ke litti ke saath kha nahin gaye to hum Rohan nahin . ## ROHAN : Ek choo nahin karoge tum kissi ko bhi ... samjhe ? ## ARJUN : Tum bilkul sir jaise ho . ## \nHypothesis: ROHAN ARJUN ko bolte waqt dekhne ko bhi keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "81b72734-c301-4ee1-82de-5e808352c44d", "original_id": null, "input": "Premise: RAHUL : Agli subah hum dono Vegas mein the , annulment ke liye .. and for better or worse Riana aur main ab husband aur wife nahi .. Sirf dost hai . ## RAHUL : Aur woh tab se try kar rahi hai ki woh mere liye kisi aur dhoondh le . Kahin pe bhi shuru ho jaati hai .. And its really embarrassing . Par mujhe nahi chahiye koi aur coz I really love her . ## RAHUL : Aur mujhe yeh samajh mein nahi aata ki mujh mein problem kya hai ? Ab toh mujhe achha job bhi mil gaya hai ... top 10 mein nahi hai par mujhe photography ke liye chutti lena allowed hai ## RAHUL : And obviously meri favorite model-- ## \nHypothesis: Riana aur RAHUL sirf dost hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "1b4bfe91-04eb-44a9-bf3d-bd42f6e65666", "original_id": null, "input": "Premise: SIMMY : main jaan ne wali hun .. ## RAGHAVAN : matlab ? ## SIMMY : phone pe bol rahe the na apni Maa se .. jaan ne wali ke ghar pe Raghavan stops . ## RAGHAVAN : toh kya bolta ? ## SIMMY : sach bol dete ## RAGHAVAN : kya sach bolta .. jiske saath sota hun .. uske .. ## SIMMY : neend toh tumhe kisi ke saath nahi aati hai .. maine toh kabhi sote hue nahi dekha .. ## RAGHAVAN : tu na zyada .. ## RAGHAVAN : Madam ko gaadi tak chhod ke aa .. Simmy walks down the satairs with Cops . Kamble climbs up the stairs , he is holding Ramanna's shirt . ## \nHypothesis: RAGHAVAN apni maa se baat kar raha tha call pe", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "3ff9eefd-bace-4bd3-82cc-b57a9e6599f2", "original_id": null, "input": "Premise: JAYA : Sandhya Bhabhi , Kanoon ki naa sahi - hamari hi sun lo . ## SANDHYA : Pehle inko bolo mujhse maufi maangane ko . ## PREM : Hath kisne pahle uthaya tha ? Maufi pehle tum maango . ## SANDHYA : Aur majboor kaun kara mujhe , hain ? Pehle tum sorry bolo . ## PREM : Sorry . ## SANDHYA : Sorry . ## HEMA/REKHA : Chal pado ghar , sab theek ho jaayega . ## PREM'S FATHER : Bahu , main jimmedari leta hoon sab cheej ki . Chal par baapis . ## SAMAR : Buaji , B . Tech . se badiya toh L . L . B . kar leta hoon main ! Aane waale time mein bahut kamayi hone waali hai , is kaam mein . ## \nHypothesis: HEMA har cheej ki zimmedaari leta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "969dac1b-f3c6-4a64-b4b9-d0cfb36e4240", "original_id": null, "input": "Premise: SHAHID : Kya ? ## OMAR : Prisoner ko cigarette deta kaun hai ? Police . Aur phir cigarette milne par marta kaun hai . Police . They walk some more . GHULAM NABI WAR passes and looks at them ... Shahid and him make an eye contact ... ## OMAR : Maine socha kuuch Gandhi jaisa karte hain . ## SHAHID : Par sab bhaag gaye ... ## OMAR : Mera Bharat mahaan ... 99 chor aur 1 beimaan . ## SHAHID : Maine suna hai yeh . ## OMAR : Kahaan Shahid stays quiet . ## \nHypothesis: OMAR ne socha kuch Gandhi jaisa karte hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "8b04b857-c173-4c4a-b4ed-81e76b1ace1f", "original_id": null, "input": "Premise: MOM : Pyar karti hai ... Chup chap tayaar ho ja ## MOM : Beta tu theek toh hai na (with moist eyes , rani nods) ho gaya ho to ab aaja , badi fikar ho rahi hai teri ## RANI : Main theek hoon aap jaao ## DAD : Raat ko bahar mat jaana ## MOM : Theek se khaana khana ## \nHypothesis: MOM is telling RANI to get ready secretly. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "f968b703-abc5-4b8b-bb75-9ad639cf405f", "original_id": null, "input": "Premise: BAUJI : Kya karna kya hai iska ? ## CHAHCA : Kuchh nahi bhai- Do char din ghar pe baithegi saara bukhar utar jaayega .. ## BAUJI : Arre bahi ro rahi hai- continue .. ## CHAHCA : Bhai woh launda theek nahi hai- Jisse poochho woh ek naya hi kissa sonata hai uska . Akela rehta hai yahan pe- Na kaam na dhandha- na uske oopar koi dekhne wala . Laundiya baazi mein number ek hai woh- Ab batao .. Rita toh nahi samjhegi nahin na yeh sab .. ## BAUJI : Nahi so toh theek kah rahe ho tum- Baithe bithaye bikar ka .. ## CHAHCA : Aap kahe ko pareshan ho rahe ho bhai ? Do din mein sara nazla utar jayega .. ## BAUJI : Arre pareshan nahin hon toh kya hon bhai ? Ladki hai Kal ko kuchh ! Chalo , dekhte hain .. ## \nHypothesis: 10-12 din ghar pe baithegi toh saara bukhaar utar jaaega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "a71542fb-72b7-4390-b76c-968181820b38", "original_id": null, "input": "Premise: KARKI : Deepak ... ## DEEPAK : Ji sir . ## KARKI : Ye placement ka form bhara ? ## DEEPAK : Nahi sir ... main ... (his attention goes to his friends waiting outside) Main bhar doonga . ## KARKI : Abhi bharo . Agle hafte last date hai . Kahaan jaana hai ? ## DEEPAK : Nahin ... kahin nahin . ## \nHypothesis: DEEPAK ne placement ka form bhar diya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "fa93fcab-c8ac-4bfd-9a20-85d867dd088f", "original_id": null, "input": "Premise: PRINCE : Welcome ! Rakesh c h a i b o l beta teen . ## TITLI : Nahinji thank you . ## PRINCE : Kuch to lo ji , pehli baar aaye ho . ## NEELU : Nimbu soda aayega ? ## PRINCE : Ja beta nimbu soda bol . ## PRINCE : Flat dekhke ke dil khush karte hain pehle aapka . Fir baat karte hain aaram se . Aaoji aao ! ## \nHypothesis: Prince ne 3 chai ka order diya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "a77f0588-5003-46c3-95c9-1c10a1c3494b", "original_id": null, "input": "Premise: ZAMINDAR : Rah kahan rahe ho tum ? ## VARUN : Circuit house mein ... mandir ke paas hai ... ## ZAMINDAR : Yah apna maatha kahan phod liya ? ## VARUN : Meri motorcycle ki ek gaadi se mutbhed huyi thi ... ## ZAMINDAR : Manikpur mein ? ## VARUN : Ji ... ## ZAMINDAR : Kaun chala raha tha ? ## VARUN : Main hi chala raha tha ... ## ZAMINDAR : Dono ek saath chalaaoge to phir mutbhed to hogi hi ... ## VARUN : Main motorcycle chala raha tha ... ## ZAMINDAR : Of course ... ## VARUN : Aur gaadi pata nahin , koi nauseekhiya chala raha tha ... itni chaudi sadak par ek itni si motorcycle ... phir bhi ussi mein bhidaane ja raha tha ... inn andhe nauseekhiya ko gaadi kyon koi chalaane deta hai meri samajh mein nahin aata ... ## PAKHI : Sorry sorry ... Jaldi thanda paani layiye ... ## \nHypothesis: VARUN ko thanda paani chahiye", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "22e54fce-cbbe-4b7e-9f06-8012a82f43e2", "original_id": null, "input": "Premise: SARA : Mei n t oh rah oon gi na hin , l eki n tumhare liye ek aur nominee hota toh accha hota .. ## DEEPAK : Haan achha hota .. ## SARA : Soch lo phi r ... ready hoon main abhi bhi ! ## DEEPAK : Sh ay a d p ro bl e m m ei n h ai n v o h ! Pa re s ha a n th e in us s d in su b ah subah ! ## SARA : Kaun ? ## DEEPAK : Voh B 48 . 1 st floor . B ataya tha na ... ## SARA : Voh teenon bachiyan ... ## \nHypothesis: DEEPAK keh raha hai ki achha hota agar SARA nahin rahati. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "a307af76-5b46-476e-91da-06918a2450b8", "original_id": null, "input": "Premise: RIANA : Mujhe tumhari problem samajh mein aa rahi hai ? ## RAHUL : Oh really pehle bataana tha main psychologist ke paas jaata hi nahin ! ## RIANA : --Tum mein woh josh nahi hai . ## RAHUL : Meri maa .. ..Last time josh dikhaya tha to tumse shaadi ho gayi thi .. ## RIANA : Don't be stupid , woh josh nahi Alcohol tha ! ## \nHypothesis: RIANA Agar pehle bata deta toh RAHUL psychologist ke paas nahi jaata", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "f382868c-7e94-42bf-a4a9-d9ecb1870f9b", "original_id": null, "input": "Premise: KANHAIYA : Sir maine to yeh bhee suna ki chhutiyyon mein ye saare miyan biwi mil kar ek khel bhee khelte hain .. Adla badlee ka .. ## COP : Kya ? ## KANHAIYA : Jee wo angrezi mein bolte thay .. wife .. soap .. ## COP : Wife swapping ? ## \nHypothesis: biwi Adla badlee ka khel khelne ke liye chhutiyyon mil rahin hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "ddbf996f-860a-406d-ae2e-d0c717039e76", "original_id": null, "input": "Premise: TIA : Thank you for these ! ## ARJUN : You are welcome ... ## TIA : Toh tum aur kitne din ho yahan ? ## ARJUN : Do ... aur Tum ? ## TIA : Do din aur ruk jao . ## ARJUN : It's a tempting offer . Aur waise bhi main soch raha tha Boobly se kuch tips le lun .. Maybe then I could impress you .. ## TIA : I had a good time .. Thank you ! Keep working on the chest shake .. ## TIA : Bye . ## \nHypothesis: TIA wants to impress ARJUN", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "04e16a52-91a8-4457-a57d-ee2659e05fc5", "original_id": null, "input": "Premise: TV ANNOUNCER : The news has just come in from the dressing room .. It is confirmed . Ganguly has decided to declare the innings at 658 . They've set Australia a target of 384 to win . Its a challenging declaration .. the match has come back to life !! ## ISHAAN : Aur kahin humne unke dus wicket thok diye , toh ? ## ISHAAN : Cricket mein kuch bhi ho sakta hai kaka .. Apne boys ka morale abhi high hai .. kuch bhi ho sakta hai .. kyun Govind .. ho sakta hai na ? ## GOVIND : Mushkil hai .. pichle sau saalon mein sirf do hi baar hua hai .. max to max draw hai . ## ISHAAN : Tu bas statistics mein ghusa rah .. game to on hai boss !! ## \nHypothesis: ISHAAN sirf statistics mein ghusa hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "a8688501-d772-47c1-acbd-abe0209576ce", "original_id": null, "input": "Premise: SHYAMA : Kaadha pee lo didi . Doctor sahab ne bola hai ... ## SHYAMA : Kaadha pee lo . ## PAKHI : Main pee loongi , mez par rakh do . ## SHYAMA : Abhi peeyo , hamaare saamne . ## PAKHI : Bola na mez par rakh do , pee loongi ... ## PAKHI : Mujhe maaf kar do . ## \nHypothesis: PAKHI ko badi gambhir bimari ho gai hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "5f797397-17e7-4990-85ab-20d08e4adc02", "original_id": null, "input": "Premise: ASHWIN : Police aksar jhooth bolne ke liye maarti hai ... Par maine tujhe sachh bolne ke liye maara .. par maara .. sorry .. ## SHAMBHU : Mujhe phansi to nahin hogi na saab ? ## ASHWIN : Nahin . Ulta tu chhoot jaayega . Kyonki tu apni marzee se sarkari gawah banne ko taiyaar hua hai .. Bina kisi zor zabardasti ke . Haan ? ## SHAMBHU : Jee saab . ## ASHWIN : Lets shoot him .. ## SHAMBHU : Nahin Saab ..! ## ASHWIN : Arre wo shooting nahi . Camera se shooting . Clean him up before that . ## \nHypothesis: ASHWIN ne SHAMBHU ko sach bolne ke liye maara", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "264b1a49-256c-43f2-92df-57497739687d", "original_id": null, "input": "Premise: KHALIL : Ek aur baar . tees second ki training hai na teri ? Phir se kar ! ## KHALIL: : Gadhe ! yeh tere haath kyun kaap rahe hain . Darpok ! ## SAFIRINI: : Khalil ! ## SAFIRINI: : Darre hua mat rehna , ab hum daraayenge apne plan ke mutabik chalna hain . Bas . ## SAFIRINI: : Chal phir se koshish kar ## SAFIRINI: : Himmat rakh Mansoor . Issi din ki tayyari itni shiddat se ki hain tune . himmat . ## \nHypothesis: SAFIRINI darane ke liye nahin keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "47058ee8-40c5-4f89-8eb4-ae29178797f4", "original_id": null, "input": "Premise: CAR SALESMAN : Teesre chauthe mein tight hogi . Hajaar kilometer pe khulegi . ## NEELU : Saath free kya kya dete ho aap ? ## CAR SALESMAN : Chandarpalji aaram se . Payment kardo , fir jo marji karna ! Saath mein madam iske .. ## NEELU : Ye chandarpalji kaun hain ? ## VIKRAM : Gaadi ghuma Titli . Rail phatak ki taraf chal fatafat . ## TITLI : Chupchupchup . ## NEELU : Mujhe jaana hai . ## PRADEEP : Chal rahe . Don't waary . ## VIKRAM : Saans chal rahi hai bete . ## NEELU : M u j h e ghar j a a n a hai !! K y a ho raha hai ? Papaaaa . PAPAJI ! ## VIKRAM : Pakad pakad . Phone pakad ! ## NEELU : Hallo ? Hallo prince ? ## NEELU : M u j h e n a h i n murder k a r n a . PAPAAAAJI MURDER KAR RE HAIN !! ## PRADEEP : M a r d a r thoda h a i beta . Gaadi garaje chodni hai bas . ## VIKRAM : Jinda hai , koina mara . Dekhle !! ## VIKRAM : Rok idhari . ## NEELU : Mainnahin mainnahin !! ## PRADEEP : CHUP HO JA ! CHUPPP ! ## VIKRAM : Ghar ko chal . ## VIKRAM : Susu kar diya poora . ## \nHypothesis: NEELU ko murder karna hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "82fd11a6-6f63-4e9d-9690-680b50a96249", "original_id": null, "input": "Premise: RANI : Mom smiles ## MOM : Eeeffel tower ? ## RANI : Real wala dikhaun ? (while showing pictures) Yeh ... aur yeh ... wishing wala bridge ... aur yeh dekho ... sunder hai na ? Aur yeh ... yeh to amsterdam hai ... ## RANI : Papa mujhe na ... Vijay ke yahan utaar dena ... kuch kaam hai ## \nHypothesis: RANI MOM ko Eeeffel tower aur amsterdam ki pictures dikha raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "4271c643-22b3-4e08-b5c9-9d5cbada7f70", "original_id": null, "input": "Premise: RAHUL : Music kum kar .. you're distracting me-- ## ARJUN : Yeh khataara bees ke upar chalti hai . Chinta chhod accelerator daba . ## RAHUL : Shut up Arjun . ## ARJUN : What the-- C'mon , uss gaadi ko overtake kar . ## RAHUL : Arjun ! Rehne de . ## ARJUN : C'mon , accelerator daba , daba , daba ! ## RAHUL : Yeh kya hai ? ## ARJUN : --shhh , aaram se overtake kar ... ## ARJUN : ---song lyrics--- ## RAHUL : Oh my God .. Oh my God ... Uski shakal dekhi tuney !! ## \nHypothesis: ARJUN RAHUL ko distract kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "c2fcbe80-2a26-4a0f-9214-2635b13395e5", "original_id": null, "input": "Premise: GOLDMAN : Fauji Sindh toh toone sirf National Anthem mein suna hoga ... hawa bhi hai ki kahan ja raha hai ? ## RUDRA : Moonh bandh rakh nahi toh thok doonga ... ## GOLDMAN : Mujhe ek phone karney de main sab ... ## RUDRA : SHUT UP !... JUST SHUT UP !! ## GOLDMAN : Ek baat batao toh baatcheet shuroo karein ... Boss kaun hai ... yeh ya tu ? ## GOLDMAN : Iska toh standatease attentian wala hisaab kitaab hai ... sahi galat ke alava yeh koi baat hi nahi samajhta hoga ... tumse baat karta hoon ... mujhe dhoondh nikaleingey , tumhey thok daaleingey ... tumharey dost ki qurbani bekaar jayegi ... ## WALI KHAN : Do baar uthaya hai tujhe ... humey dekhkey tujhe maut nazar aani chahiye ... Price tag kahan se dikh rahein hain tumko ? ## GOLDMAN : Keemat toh sabki hoti hai ... bhaley hi paise mein na ho ... tumhari mujhe khabar hai ... tumharey biwi bachey ko agar main ... ## RUDRA : Don't listen to him ... Bakwaas kar raha hai voh ... ## WALI KHAN : Bakwaas tumharey liye hai ... mere liye is baat ko chhodke kisi baat ka matlab nahi hai ab ... Tv pe toh bataya tha Nafisa ko unhoney ... ## GOLDMAN : Bakwaas voh hai ... Bolo toh baat karva doon ? ## WALI KHAN : the car and pulling him out) Baat nahi karva paaya ... toh yahin koi chhaiy by teen ka tukda pasand karkey gaad doonga tujhe ... ## RUDRA : Gaadi mein baitho Wali ... Don't listen to him ... (Pointing the gun to Goldman) Tu chhup reh nahi toh ... ## GOLDMAN : Pata hai thokk dega ... iska kya hai ... medal leke chhaavni jayega khushi khushi ... Tum kahan jaogey biwi bachey ki qurbaani deke ... Phone de ... meri zubaan hai ... baat karva doonga ... ## RUDRA : onto Goldman's face) Gaadi mein baith ... Phone mat dena ... ## GOLDMAN : Number deta hoon khud dial kar ... Bol Seth mere paas hai ... meri Nafisa aur Kabir se baat kara do ... Motan Das mein bahut baal kaatey hain tooney ... jitney tooney suney hain ussey bhi badey kaam karvaye hain maine ... Tera kaam bhi ho jayega ... ## WALI KHAN : Phone wapis karo ... ## RUDRA : Don't listen to him ... Tumhey pata hai ... Unhey maar diya kabka ... ## WALI KHAN : Phone de ... ## GOLDMAN : London ja rahey thaiy na tum ... voh kaam bhi ho jayega ... dial kar ... 2199230 ... ## RUDRA : Don't listen to him ... Mar gaye hain voh ... phone chahiye toh goli maar ... ## GOLDMAN : Zinda hain ... 8234 ## WALI KHAN : Phone de ... ## RUDRA : Goli maar phone chahiye toh ... ## \nHypothesis: RUDRA ne GOLDMAN ko jaan se maarne ki dhamki di. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "32996416-5dcf-415a-98fa-b43c5aee5510", "original_id": null, "input": "Premise: MOTHER : Maine apne room .. umm Arjun ke room mein mattress laga diye hain , I hope tum sab fit ho jaoge . ## NEETU CHACHI : Haan haan .. aaraam se .. Thank you ! ## MOTHER : Good night . ## RAHUL : Bade dino baad aapko itna khush dekh raha hoon . ## MOTHER : Good night . ## \nHypothesis: Mom ne Arjun ke room mein sab mattress laga diye hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "44d6ffd9-f356-4833-85d5-6e7b992cc327", "original_id": null, "input": "Premise: MISHRA : Kitna hai ? ## PATHAK : Filhaal toh 30 hai . ## MISHRA : Aage Pappu ki dukaan hai scooter ki ... udhar bech do jaa ke . 10-15 iska bhi mil jaayega . ## PATHAK : Nahin ab hum kama rahe hain ... ek jugaad baitha hai ... pakka ab paisa ho jaayega . Bike bech denge toh ... ## MISHRA : Yeh footkar nahin chalega . (returns the packet to Pathak) Aapko kitna baar bolna padega ? ## PATHAK : Agle hafte tak nahin hua iss mahine ka hissa toh bech denge . Le lijiye ... ## MISHRA : 20 laaiyega agle hafte . ## \nHypothesis: PATHAK bike bechna chahta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "892f3ad3-4454-4525-8e73-3fd0d3a44fd0", "original_id": null, "input": "Premise: MOM : Chalo chalo ... sab apna mood theek kar lo ... ## MOM : Kaisi hai ? ## RANI : Theek hoon ... pahunch gayee araam se ## MOM : Achcha .. Mausam kaisa hai ? ## RANI : thodi thand hai ## MOM : Achha ? ## DAD : Problem to nahin huyi koyi ? ## RANI : Nahin ... easy tha sab ## GRANDDAD : Kidhar hai meri jhalli ? ## RANI : Dadaji ! Aap kaise ho ? ## GRANDDAD : Puttar mera sher ... tu angrezon se darna mat . Tu koyi queen victoria se kum hai ? ## DAD : Oho . Minky aa gaya hai ## MOM : Beta vo mahinder jeeja ji ke yahaan aaj maata ki chowki hai , minky mama ke saath ja rahey hain ... tere liye pooja karne ## \nHypothesis: RANI ke wahan thodi garmi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "8cb5a1bd-4488-40ff-bae1-bfd922bac04c", "original_id": null, "input": "Premise: DEBDAS : Tum vivaah kar rahe ho , Pakhi se ... ## VARUN : Sagaai . ## DEBDAS : Kya baat hai Varun ? Kya chhupa rahe ho ? ## VARUN : Kuch nahin ... ## DEBDAS : Kuch to hai jo tum nahin kah rahe ho ... ## DEBDAS : Bajpai ji ko kya bataaoge ? ## VARUN : Pata nahin . ## DEBDAS : To phir sagaai kyon kar rahe ho ? Usse poora hi khatam karke jaane ka iraada hai ? ## DEBDAS : Sagaai kahaan hai ? ## VARUN : Mandir mein . ## DEBDAS : Kab ? ## VARUN : Kal ... ## \nHypothesis: Sagaai parso hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "13600364-e50c-42c6-b824-29226fb9c78a", "original_id": null, "input": "Premise: NEELU : Main nahi karungi . ## TITLI : Kya ? ## NEELU : Tune jo boli , jaise boli , maine karli . Gasht pe nahi jaungi phir . ## TITLI : Pagal hogayi tu ? ## TITLI : Bana banaya game bigad jega pura ! ## NEELU : Maine murder nahi karna . Mujhe Prince ke paas jaana hai . ## TITLI : Kya kar ri hai tu . Ruk ! Baat sun ek mint meri ! ## NEELU : Nahi chod . Maine jaana hai . Main Prince ke paas reh lungi , sample flat mein . ## TITLI : Ek .. Ek gasht ki toh baat hai . Karle pata nahi chalne kisi ko . ## NEELU : Nahi . Main nahi . ## TITLI : Chorr ! Phone Chorr ! ## NEELU : Tu chorr . Mereko Prince ke paas jaana hai ! ## TITLI : Nahi ja sakte Prince ke paas . ## NEELU : Kyon ? Kyon nahi ja sakte ? ## TITLI : Chorr . CHORR ! ## NEELU : Wapas kar . Mera phone hai . Wapas de !! ## NEELU : Aaaaiyaaa haaaaa ! ## NEELU : Jaane de mujhe bhainchod . Achchi family se h u n main . Tum jaisi criminal n a h i hun . MAINE NAHI LENI JAAN KISI KI !! ## TITLI : Chup . Chup ekdum . Bahar sunega ! ## NEELU : Tune jo karna hai karle . Maa ki kasam hai meri ! Maine nahi hissa lungi iss chakkar mein . Prince ke bina , chahe Prince ke sang . ## TITLI : Sorry . ## TITLI : Dekh main tere sang hun , saamne nahi . Main khud phasa hua hun . ## NEELU : Mereko nahi pata . Prince ke paas chorr ke aa mereko abhi . ## TITLI : Abhi kahan jayegi tu raat mein . Gharpe hoga wo . Biwi ke saath . ## NEELU : Main baat karti hun . Soch lenge wo kuch na kuch . ## TITLI : R u k tu . Main baat karta h u n . Galti se koi aur phone utha lega toh panga ho jayega . Bekaar mein mere paise jayenge . ## \nHypothesis: NEELU ne kaha ki main Prince ke sang hissa lungi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "5f7cf0d5-aa14-45d1-8a4c-4687b6b45eca", "original_id": null, "input": "Premise: NEELU : Gaadi khadi nahi . Pahunche nahi shayad . ## TITLI : Late hogaye honge . Bola tha mujhe kal , time lagega . ## NEELU : Ok . ## NEELU : Sun tu Daddy ki baat ka bura mat maniyo . Bada achcha ladka hai tu . A p n e beech mein t h o d i j o r jabardasti hogayi but .. mere mann mein ijjat hai tere liye badi . ## NEELU : Kabhi galti se teri parking mein aayi , toh paise mat liyo . ## TITLI : Bye . ## NEELU : Bye . ## \nHypothesis: NEELU ne TITLI ko achcha ladka kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "b6e843ed-9778-43e0-8a86-f484ad6bfd83", "original_id": null, "input": "Premise: NEERJA: : Tch Tipsy ! Mamma please , sone do , ## RAMA : tipsy and putting it down) ## RAMA : Modelling itni achi chal rahi hain teri , aise mazdooron ki tarah kaam karna zaroori hain ? Yeh air hostess ki naukri chhod kyun nahi deti ## NEERJA : Mamma I love my air hostess job ## RAMA : Yahi toh problem hain ! Pataa hain ? Tere plane ke take off karte hi , blood pressure high ho jaata hain mera . Tera plane utarta hain uske saath mera pressure ## NEERJA : Aur samose khao meri flight ko blame karo , maine dekha toh aapko kal , teen khaaye na ? ## RAMA : Chal uth ab ! Badmash ! ## \nHypothesis: NEERJA is air hostess. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "34f17184-d3d5-48e3-8071-0bb526db38a8", "original_id": null, "input": "Premise: SHAHID : Pahle andar to jaayein .. ## RAFIQ : Kahan se ho ? ## SHAHID : Bombay . Shahid naam hai mera ... ## RAFIQ : Hum ko lag gaya tha . ## SHAHID : Aap ? ## RAFIQ : Gorakhpur . Rafiq ... ## SHAHID : Main jagah nahin , wajah pooch raha tha ? ## RAFIQ : Sab abhi jaan loge ? ## SHAHID : Aap hi ne kaha tha hum partner hain . A man walks out to the gate and yells at Shahid and Rafiq to go and sit with the rest of group . ## \nHypothesis: SHAHID ne kaha tha hum partner hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "38fd1d46-b99b-4c63-aef0-ab9692d20759", "original_id": null, "input": "Premise: NAFISA : Kya hua hai ? ## LADY : Allah jaane ... ## NAFISA : Inka mobile hi nahi mil pa raha Kabeer ... Noor Sahab ko karti hoon ... Ji Assalaam-wale-kum ... Nafisa bol rahi hoon ... Kabeer ke Abbu ka ... Aag ... Kaisi aag ji ... ## KABEER : Ammi ? Kya hua Ammi ? ## POLICE OFFICER : Aap pareshan nahi hon ... kafi flights cancel hui hain ... hum yahan se aapko wapis ... ## NAFISA : Ji iske Abbu ka phone nahi lag raha ... padosiyon ne bataya ki ghar pe aag lagi hai ... kahin voh ... ## POLICE OFFICER : Aap kidhar rehti hain ? Hum fauran local police station se pata kar letey hain ... ## \nHypothesis: NAFISA noor sahab ko call kar rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "49f31a6f-3cb2-48fc-8187-e58012cb8fd4", "original_id": null, "input": "Premise: RAMANATHAN : Mariam ... Kaun hai .. yeh Mariam ? ## SHAHID : Ramanathan . ## RAMANATHAN : Khud ki practise start kar di ? batayega kab ?. ## SHAHID : Yaar abhi toh office bhi poora taiyaar nahin hua . ## RAMANATHAN : Ek case mein assist karna hai , kal hearing hai .. ## SHAHID : Kahan yaar . Tu time nahin deta . ## RAMANATHAN : MCOCA case hai .. Ab ? ## SHAHID : Kahan aana hai ? ## RAMANATHAN : By the way yeh Mariam kaun ? ## SHAHID : Client , yaar . ## RAMANATHAN : Aisa Laga nahin .. ## SHAHID : Ek hi hai yaar , client . Isliye . (Self deprecating laugh) ## \nHypothesis: Abhi SHAHID ka office bhi poora tayyar nahi hua hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "068efbc0-7ef5-491b-b868-1082a31d37ac", "original_id": null, "input": "Premise: VERMA JI : Aapne kaha tha aaj mil jaayega . Printing waala khaali baitha hai ... ## PATHAK : Bas 3 din aur ... Devi thoda beemaar thi . ## PATHAK : Thoda advance milega toh achha rahega . ## VERMA JI : Ek toh latkaaye huye hain chamgaadad-jaisa humein ... (takes out his wallet and 4 notes of 500 rupees each) Par pahli baar ho raha hai isliye ... Ghar par sab theek na ? ## \nHypothesis: Devi thoda beemaar thi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "b26d5a10-3831-4fd5-8975-5234437a8217", "original_id": null, "input": "Premise: ZOYA : Come on Moin ... Itne dramatic mat bano ... ## MOIN : Drama ? Shaadi ko teen saal ho gaye ... Bachcha nahi hua ... Ab sab mujhe shaq ki nazar se dekhne lage hain ... Kaise bataoon unhe ke bachcha paida karne ke liye meri biwi ke paas nau continuous mahine nahi hain ... ## ZOYA : Bas yeh last case hai ... ## MOIN : Pichli baar bhi yehi kaha tha tumne ... ## ZOYA : Bye nahi kahoge ...? ## MOIN : Wohi toh keh raha hoon ... ## \nHypothesis: MOIN ki biwi ke paas 9 continuous mahine hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "97805abe-5158-48a0-9016-05e1a32fd066", "original_id": null, "input": "Premise: SAMPRADAYIK SINGH : Khush khabri , sunega ? Shahid nods with difficulty . ## SAMPRADAYIK SINGH : Kaan mein kahoon ? Gets near .. ## SAMPRADAYIK SINGH : Teri maa raand hai .. ## SAMPRADAYIK SINGH : Bahanchod . ## \nHypothesis: SAMPRADAYIK SINGH khushkhabari sunaana chahta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "d7aeb0b5-830b-45ec-9e18-e84deba46766", "original_id": null, "input": "Premise: RANVEER : Dikhaao kahaan hai 'no parking' sign . ## TRAFFIC CONSTABLE : Aagey lagaa hai . ## RANVEER : Toh maine aagey park kari hai ? ## TRAFFIC CONSTABLE : Sau meter ke andar hai . Chalaan toh katega . ## RANVEER : You go sit inside . ## RANVEER : Ridiculous , yaar . Koi 'No Parking' ka sign dikh raha hai ? ## MEERA : Toh fine kyun diya ? ## RANVEER : Just trying to impress you . ## MEERA : Nice try . ## \nHypothesis: MEERA ne fine diya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "10db30a6-a899-40bd-8758-9209487277f4", "original_id": null, "input": "Premise: ROHAN : Kaisa lag raha hai ? ## ROHAN : Khaana khaaya ? ## ROHAN : Sir Calcutta gaye hain ... tum khush nahin ho vah Calcutta gaye hain ? ## NURSE : Mr . Kashyap ... please chillaiye mat . Patients so rahe hain yahaan ... ## KASHYAP : Mujhe kissi ne subah khaana nahin diya . ## NURSE : Aap so rahe the , main bhijwaati hoon ... ## KASHYAP : Mujhe bahut bhook lagi hai ... ## KASHYAP : Ghoor kyon rahe ho ? ## ROHAN : Nahin ... hum ## KASHYAP : Isko kya hua hai ? ## \nHypothesis: KASHYAP ko subah kisi ne khaana de diya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "828fb62d-edda-441a-8d55-ecedb52c96f2", "original_id": null, "input": "Premise: SHAMBHU : Koi bada accident hua hai ... ## BABA : Deepak beta ... jaao agni laa ke do inhein ... ## DEEPAK : Haan Baba ... ## SIKANDAR : Arre idhar lagaao na ... idhar hai toh jagah ! ## SIKANDAR : Arre jalaao na ... apna ghaat hai ki ! ## SIKANDAR : Ae Deepak ... idhar chita banwaao ... 4 aa jaayegi idhar . ## GRIEVING MAN : Teerath pe gaye they sab .... poori Bus ganga ji mein gir gayi ... Sanstha wale sab body yahin laye hain . ## \nHypothesis: Poori bus Yamuna nadi mein gir gayi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "582fb569-796b-439c-a3d6-de6909d91a8e", "original_id": null, "input": "Premise: BANK MANAGER : FD tudwa rahe aap ? Time se pehle ? ## TITLI : Woji chot lag gayi inko . Paise short horahe hain . ## BANK MANAGER : Interest kat jayega aapka . ## TITLI : Interest se pehle health hai . ## BANK MANAGER : Life Insurance hai , aap dono ki ? ## TITLI : H u m k o n a h i karani j i . A a p bas cash dila do jaldi . ## \nHypothesis: TITLI ko life Insurance nahi karani. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "c5c451af-50ab-43b8-884a-45e15384e10a", "original_id": null, "input": "Premise: RAMESH : 14 saal ... ## PRIEST : Janam tithi ## RAMESH : 24 March .. ## PRIEST : Mrityu tithi ## RAMESH : 15 March ... ## PRIEST : Mrityu ka samay . ## PRIEST : Jajmaan .. ## PRIEST : Jajmaan .. Samay .. Mrityu ka .. ## RAMESH : 2 baje Subah .. ## \nHypothesis: Birth date 15th March hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "599b9f98-1518-4126-974c-5b7bd4690033", "original_id": null, "input": "Premise: MUNIYA : Hai Allah ! Kya hua aapko ? Safed pad gayeen hain aap . ## BEGUM PARA : Humein darr lag raha hai Muniya . Hum jo kar rahein hai woh sahi toh hai ? ## MUNIYA : Darr to lagega hee , lazim hai . Subah ki dawai lee aapne ? ## MUNIYA : Main hoon na aapke saath . Marte dum tak , ghabrayein na . Iss ke siwa ab aur koi chara baaki nahi rah gaya hai aapke liye . Sab allah ke uppar chhod dein . Jo hoga theek hee hoga . ## MUNIYA : Chaliye . Poora Mahmudabad aapka faisla sunne ke liye betaab hai . ## \nHypothesis: MUNIYA ne BEGUM PARA se kaha ki aap darr jaiye. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "c447ac00-6a1c-46ae-97d5-719ad06db409", "original_id": null, "input": "Premise: TAUFIQ : Taiyaari poori ? Bomb ? Kahaan Shahid and Rafiq say yes in unison . Shahid indicates . He goes and checks the jackets . Pushes a plug . ## TAUFIQ : Yeh on kyon nahin hota ? ## TAUFIQ : Chalo ab isse pahan lo . ## SHAHID : Abhi toh time hai ? ## TAUFIQ : Isse accha time nahin . ## \nHypothesis: SHAHID does not want to wear the jacket. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "16909c91-b194-440a-896f-8e84e1b250b8", "original_id": null, "input": "Premise: RIANA : I am SOO sorry .. ek badi misunderstanding ho gayi .. ## RIANA : ..Mujhe apna address de do main file drop kar deti hun-- ## RAHUL : --Nahin please . ## RIANA : To phir-- ## RAHUL : Ahh .. Town square mere ghar ke paas hain wahin milte hain . ## RIANA : Six thirty ? ## RAHUL : Sure ! ## \nHypothesis: RIANA and RAHUL Six thirty ko Town square mein milenge. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "727bb648-ebd2-42b3-b4cc-3a8ecd091971", "original_id": null, "input": "Premise: MRS.KAPOOR : hello babyyyy ! Site visit kaisi thi ? ## RAHUL : Theek thi . ## RAHUL : Mom main aapko kuch bataana chahta hoon . ## MRS.KAPOOR : Ofcourse .. Sure ! ## MRS. KAPOOR : Pehle tum mujhe batao . ye ya ye ? Ye na ? This is so average .. I like to be unique . Don't you ? ## MR.KAPOOR : Oh look who's here ... Mr . Surprise himself . ## MR.KAPOOR : Tum wapas kab jaa rahe ho ? ## RAHUL : 5th ko . ## MR.KAPOOR : Good , Bulani aur Shah agle hafte tak shaayad deal lock kar dein . Main 4th ko unhein dinner pe bulane ki soch raha hun . ## MRS.KAPOOR : Unki biwiya bhi aayengi ? ## MR.KAPOOR : Tum aane waali ho na ? ## MRS. KAPOOR : Tum kya keh rahe the beta ? ## MR.KAPOOR : Surprise us ! ## RAHUL : Nahi .. Nothing important . ## \nHypothesis: agle hafte tak deal ka lock hona pakka hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "86252b7d-826f-427a-bf63-708a3e15fb90", "original_id": null, "input": "Premise: SHAHID : 10 minute mein session hai . Bol . ## RAMANATHAN : Tu yakin nahin karega . ## SHAHID : Kya ? ## RAMANATHAN : Abhi abhi aaya hai . Judge ne Sohail case pe enquiry baitha di hai . Shahid stands still ... Coming to terms and then a gentle smile ... ## SHAHID : Kaise ? ## RAMANATHAN : Unko laga ki case withdraw kyon hua ? Kuuch lafda hai , samajh gaye . Shahid smile expands a bit and more ## \nHypothesis: RAMANATHAN ko laga ke case withdraw kyun hua", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "59ce660f-2ac4-4c15-b499-5e55531928ea", "original_id": null, "input": "Premise: RAJPAL : Doctor ki botal se aur sharaab pi .. Phir .. Kanhaiya ... ## DR SWAMY : Phir kya hua ? Kanhaiya kahan tha ? ## RAJPAL : Kanhaiya Shruti baby ke room mein gaya . Woh vahin padi thi . Main .. Main bahot dar gaya . Par usne .. Usne .. ## RAJPAL : Kaat dala ! Kanhaiya ne Shruti baby ka bhi gala kaat dala . ## \nHypothesis: Kanhaiya ne RAJPAL ko kaat dala. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "438ad9d2-65c4-440c-bbd5-465afea121e7", "original_id": null, "input": "Premise: IMRAN ALI: : Lambi flight aur itna load ? Tayyar ho ? ## NEERJA: : We are ever ready Imran ! ## IMRAN ALI: : Neerja , ehsaanfaramosh nahi hoon lekin kabhie toh Kissi aur ka VHS laa diya karo ! Har baar rajesh Khanna ! bhai hume toh Amitabh Bachcan zyaada pasand hain ## NEERJA: : Waapis do . ## IMRAN ALI: : Tauba ! ## \nHypothesis: IMRAN ALI ko Amitabh Bachcan zyaada pasand hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "00100d6e-643d-4b2a-9890-3be70c212a41", "original_id": null, "input": "Premise: ZAHEER : Nauvin baar .. bail denied . ## SHAHID : Zaheer , maine yeh pahle bhi kaha tha . Unke paas kuuch nahin hai , isliye delay kar rahein hain . Zaheer nods his head . ## ZAHEER : Kitna waqt , aur ? ## SHAHID : Ek mahina .. Bahut hai .. ## ZAHEER : mahine dekh liye , ek aur sahi . ## SHAHID : Glass is half full , Zaheer . Glass is always half full . Zaheer smiles . ## ZAHEER : Unko sirf Gujarat riots ke video mile ? History channel ke World War 2 ke genocide ke video jo us hard disk par thhe ? Uska zikra bhi karte ? ## SHAHID : Unka case hai yeh . ## ZAHEER : Case weak ho jaayega na ? Delete bhi kar diya hoga . ## \nHypothesis: Ek mahina aur lagega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "b85049fd-68d9-4a85-b9ee-b20a43cb0bea", "original_id": null, "input": "Premise: VIKRAM : M a a k e lorre ! N a h i n r o k r a h e , chal !! ## VIKRAM : Phone de chal ! ## PRADEEP : Purse . Purse ! ## VIKRAM : Madam jhumke bade kamaal ke pehne hai . Dedo ye bhi . ## VIKRAM : DE DO PLEAJE ! ## YOUNG GIRL : No please , nonono ! ## VIKRAM : Haath pakad tight . Pakad pakad !! ## VIKRAM : Pakad na , kya kar ra hai ! ## \nHypothesis: Madam ji ne jhumke bahut achhe pehne hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "60f06112-6429-4b5f-b186-85c4d9cd94f0", "original_id": null, "input": "Premise: MIKHAELO : You came ## TIM : What happened ? You were meeting that guy , no ? ## RANI : yes ... par tum logon se bhi to milna tha ## LEE COOPER : woohooo ## RANI : Haye ram ! Kya jagah hai ## \nHypothesis: RANI was meeting that guy", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "44df26db-c544-4fe5-9652-4c9fb29688fb", "original_id": null, "input": "Premise: ISHAAN : All the best boys .. Now focus . ## GOVI : Sorry .. late ho gaya .. Dukaan band karke aa raha hoon . ## ISHAAN : Omi ? ## GOVIND : Subah saat baje se nikla hua hai .. Full force mein campaigning chal rahi hai ## ISHAAN : Practice kara kara ke thak gaya .. abhi tak off ke ball ko leg pe maare ja raha hai .. shi !!! ## GOVIND : Relax kar Ish .. Usey apna natural game khelne de . hamesha copybook nahi khel skate .. tu bhi to innovate karta tha na . Let him enjoy . ## GOVIND : Its a good start .. dont worry . ## ISHAAN : Arre kaaaiiipo !!! ## TEAM KIDS : Ali Baba aur chaalis chakke .. ## \nHypothesis: GOVI dukaan bandh kar ke aa raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "9a823ae3-4beb-4a0f-9924-50d6022d72ff", "original_id": null, "input": "Premise: SHAHID : Bhai , Law assistant ki opening mili hai . Maqbool Menon ke saath . ## ARIF : Good . ## SHAHID : Job chodna padega . ## ARIF : Journalist wali ? Kaise chalega ? ## SHAHID : Main bhi yahi soch raha tha . Shahid looks down as he walks . Arif who is curious for his reaction keeps looking as they walk but Shahid avoids to look up . ## ARIF : Kuuch milega ? ## SHAHID : Haan , Bhai . Arif asks how much without saying . ## SHAHID : 2 hazaar . ## SHAHID : Kaise karenge ? ## ARIF : Tension mat lo . Hai ek idea . ## SHAHID : Ok ## ARIF : Ab ghar jaa .. Shahid starts walking as Arif stands there . ## ARIF : Zyaada der ruke mat rahna yahaan Shahid looks back and makes an eye contact . ## SHAHID : Dekh lena , 2 saal mein log mujhe jaanenge , bhai . ## \nHypothesis: SHAHID ko 2 hazaar milega. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "5ed89a7e-12d4-4bf1-abb6-d5c4a477c191", "original_id": null, "input": "Premise: ROHAN : Tumhaare liye ... ## ROHAN : Ye bhi ... agar padhne ka mann kare to ... ## ARJUN : Hum sab teen teen baar padh liye hain ... ## ROHAN : Apni poems bhi leke aaye hain . Aur kahaniyan . Ye tum kabhi nahin padhe ho ... ## ROHAN : Tumko chahiye to tumhaare school ke doston ko bula laayen ? ## ROHAN : Vah ladki jisko tum kiss kiye the ? ## ARJUN : Vah humse baat nahin karti . ## ROHAN : Koi baat hai Arjun jo tum kahna chahte ho ? ## NURSE : Hello Arjun ... ## NURSE : Aap iska kapda badal lenge ? ## ROHAN : Kya hua ? ## \nHypothesis: ROHAN apni poems bhi lekar aaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "480086d3-953b-4637-8578-1165aea0f17a", "original_id": null, "input": "Premise: NEERJA: : Tch Tipsy ! Mamma please , sone do , ## RAMA : tipsy and putting it down) ## RAMA : Modelling itni achi chal rahi hain teri , aise mazdooron ki tarah kaam karna zaroori hain ? Yeh air hostess ki naukri chhod kyun nahi deti ## NEERJA : Mamma I love my air hostess job ## RAMA : Yahi toh problem hain ! Pataa hain ? Tere plane ke take off karte hi , blood pressure high ho jaata hain mera . Tera plane utarta hain uske saath mera pressure ## NEERJA : Aur samose khao meri flight ko blame karo , maine dekha toh aapko kal , teen khaaye na ? ## RAMA : Chal uth ab ! Badmash ! ## \nHypothesis: NEERJA loves her air hostess job.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "5ec58dc9-399e-4183-983d-6a586849de61", "original_id": null, "input": "Premise: RAGHAVAN'S FATHER : wo maheene me gadbad ho gaya .. maine socha , aapne bola , pahla last toh paanchva monday .. ## RAGHAVAN'S FATHER : Paon chhuo Sir ke .. ## SWAMI JI : khush raho beta .. ## RAGHAVAN'S FATHER : Aao baitho ## SWAMI JI : Aao baitho ## RAGHAVAN'S FATHER : ye chashma kyon pahna hai ? style maar rahe ho kya .. utaaro ise .. utaaro .. hello ## RAGHAVAN : Nahi .. ## RAGHAVAN'S FATHER : Hain ! ## RAGHAVAN : Nahi .. wo soya nahi hun .. ## RAGHAVAN'S FATHER : soye nahi ho .. ## RAGHAVAN'S FATHER : Pahan lo .. ## RAGHAVAN'S FATHER : Aage aao .. Raghavan stares at father . ## RAGHAVAN'S FATHER : Neend kaise aayegi .. jao baitho wahan .. aata hun main , abhi baat karta hun tumse Raghavan sits in the corridor alone .. his father's voice is heard . ## RAGHAVAN'S FATHER : Kuchh samajh me nahi aa raha . bahut samjhaya maine .. Police wala hai , khud nasha karta hai .. ek din pakda gaya toh aapko andaaza nahi hai kya hoga .. suspend karenge , jail me daal denge .. beizzati hogi , media ka pata hi hai aapko kya karta hai aaj kal .. bachpan me maine na isko na wo gaanja peete hue pakad liya tha .. maine itna maara isko .. ## RAGHAVAN'S FATHER : itti moti belt thi chamde wali , laal kar diya maine iska badan , maar maar ke .. haath nahi lagaya isne uske baad .. ## \nHypothesis: RAGHAVAN ne kaha ki maine chashma nahi pahna hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "d428d729-20eb-48cc-a157-d0ff73f61417", "original_id": null, "input": "Premise: FATHER : Papa , kya kar rahe ho aap ! You're not allowed ! ## SASHI CHACHA : --It's fine bhai sahab .. Ek chota sa sip thha ... Though I must say papa , I'm very proud of you .. aapne smoking chhodh di , bahut badi baat hai . ## GRAND DAD : Discipline , beta discipline . ## SASHI CHACHA : Toh boys aur kya chal raha hai ? ## ARJUN : Arrey bahut kuch .. Dadu ki party pe Rahul ki shaadi tai ho gayi .. Ek chai wali ke saath .. ## RAHUL : Haan saale zaroor ! ## ARJUN : Maa .. Rahul ne Geet ke liye haan bol diya .. ## \nHypothesis: SASHI CHACHA ne kaha ki smoking chhodhna bahut badi baat hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c45bdc63-1eb6-4d5b-bbb8-8e5297f9ae3f", "original_id": null, "input": "Premise: TIA : Aaaaa ! Ssoooo spicyyyy ! I love it . ## RAHUL : Yeh lo ... ## RAHUL : Ummm .. Woh yahan kuch .. ## TIA : Oh thanks ! Uh , tumhare naak se kuch ... ## RAHUL : Oh , sorry ... ## TIA : Just messing with you . ## RAHUL : Ha ha ha ... ## TIA : Tumhare liye zyaada yucky kya hoga ? Daant mein atka hua chicken , ya naak se latka hua booger ? ## RAHUL : Booger ! Definitely booger ! ## \nHypothesis: RAHUL ke liye daant mein atka hua chicken zyada yucky hoga", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "89d99cb1-022d-4ebe-8cc6-ab42660f1b21", "original_id": null, "input": "Premise: DR. SWAMY : Aap Shruti ko room mein lock kar ke soti thi ? ## NUTAN : Nahin . ## DR SWAMY : Bandh karne ke baad , Shruti darvaza andar se khol sakti thi ? ## NUTAN : Haan . ## DR. SWAMY : Shruti ke room ka darvaza bahar se lock ho sakta tha chaabi se ? / Bahar se Shruti ke room ka darvaza sirf chaabi se khul sakta tha ? ## NUTAN : Haan . ## DR. SWAMY : Uss raat chaabi aapne lock mei lagi chhod di ? ## NUTAN : Haan .. ## DR. SWAMY : Jaan boojhkar ? ## NUTAN : Nahin . ## \nHypothesis: Shruti ke room ka darwaza bina chaabi ke khul sakta tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "4b831784-74c8-4ad4-8a26-bf23a4154afd", "original_id": null, "input": "Premise: SAFIRINI: : Bahut ho gaya yeh tamasha ## INZAMAM: : Generator aur crew dono aate hi honge ## SAFIRINI: : Poora din nikal gaya jhooti dalile sunte , mereko pehle hi plane udha dena tha ## INZAMAM: : Plane udhaane ki sochna bhi mat , mai chup hoon kyunki tere paas 300 masoom log qaid hain , nahi toh tere ... ## \nHypothesis: INZAMAM ke paas 300 innocent log qaid hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "92ed1db6-a0d3-4b4c-a1ed-08ce05796716", "original_id": null, "input": "Premise: GOPI : Arey budhda kar lega- dekhna tu- Main kah raha na kar lega .. ## GOPI : Aayiye Bauji- aayiye .. Bauji aapse ek kaam hai- Mera ek dost hai , Harmeet- bada purana dost hai- Ussne na mere kuchh paise dene hai- karib 40 , 000/- Mujhe khud maangte huye itna sankoch hota hai .. ## BAUJI : Arre ismein sankoch ki kya baat hai- Paise ke liye sankoch nahi karna chahiye .. ## GOPI : Agar aap usey ek baar yaad dila dete- Meri taraf se toh bahut ahsaan hota aapka .. ## BAUJI : Bus ab aur sharminda mat karo mujhe .. Main jaoon , khelne ? Bauji leaves . Gopi smiles at his goon . ## \nHypothesis: Harmeet ko GOPI ko 50,000 rupee dene hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "215245e9-9046-43ed-a46a-20ccdb6ef910", "original_id": null, "input": "Premise: ARJUN : Don't judge me ... dadu ka birthday gift hai ... ## TIA : Main tumhe nahi tumahre dadu ko judge kar rahi hoon-- ## WASIM : Arjun , Boobly tujhe invite kar raha hai . Chal na bro , mazaa ayega .. ## ARJUN : You wanna come ? ## \nHypothesis: Boobly WASIM ko invite kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "139ea3cc-0921-44fc-9e97-846eccf29eaf", "original_id": null, "input": "Premise: RAJPAL : Doctor ki botal se aur sharaab pi .. Phir .. Kanhaiya ... ## DR SWAMY : Phir kya hua ? Kanhaiya kahan tha ? ## RAJPAL : Kanhaiya Shruti baby ke room mein gaya . Woh vahin padi thi . Main .. Main bahot dar gaya . Par usne .. Usne .. ## RAJPAL : Kaat dala ! Kanhaiya ne Shruti baby ka bhi gala kaat dala . ## \nHypothesis: RAJPAL ne bottle se aur sharab pi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "a8086f35-c19f-451f-965b-ba475f6cacc0", "original_id": null, "input": "Premise: ZAHEER : Nauvin baar .. bail denied . ## SHAHID : Zaheer , maine yeh pahle bhi kaha tha . Unke paas kuuch nahin hai , isliye delay kar rahein hain . Zaheer nods his head . ## ZAHEER : Kitna waqt , aur ? ## SHAHID : Ek mahina .. Bahut hai .. ## ZAHEER : mahine dekh liye , ek aur sahi . ## SHAHID : Glass is half full , Zaheer . Glass is always half full . Zaheer smiles . ## ZAHEER : Unko sirf Gujarat riots ke video mile ? History channel ke World War 2 ke genocide ke video jo us hard disk par thhe ? Uska zikra bhi karte ? ## SHAHID : Unka case hai yeh . ## ZAHEER : Case weak ho jaayega na ? Delete bhi kar diya hoga . ## \nHypothesis: ZAHEER sure hai ki video delete kar diya gaya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "cd44e5e8-0b37-4df1-a5cf-b755ca8a8d10", "original_id": null, "input": "Premise: DEBDAS : Aap logon ko yahaan khudaai karni hai , kya karna hai ... ## DEBDAS : To ... (imitating Dev Anand) Phir savaal ye hai ki ... aapko khodna aata hai ? ## DEBDAS : Very good ... ## DEBDAS : Hum khod rahe hain kyonki ... zameen hai , usse ... khodte hain ... ## DEBDAS : Andar hi to hai jo hai ... baahar to sirf ... ## DEBDAS : Vah ... bhai mujhe nahin pata ... bade saahab ko pata hai ... ## DEBDAS : Ye theek hai ... ## \nHypothesis: DEBDAS ko pata hai bade sahab ko nahi pata", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "715e2b55-9902-4f4a-a5ae-517a370f3c1e", "original_id": null, "input": "Premise: GOGIA : Ye illegal hai . ## SANGA : Aur aap jo sab kar rahe hain phone par wo sab legal hai ? ## GOGIA : Phone tapping kisi bhee court mein saboot nahi ban sakti . ## PAUL : Aur Public court mein ? Kaun sa paper aata hai aapke yahan ? TOI ya HT ? ## \nHypothesis: PAUL GOGIA se ToI ya HT paper phadne ko kah raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "e7e01198-0952-4f3a-b2c0-2cdca6443e94", "original_id": null, "input": "Premise: SANDHYA'S MOTHER : Toh phone kaahe nahin karti ? ## SANDHYA : Woh bhi toh kar sakte the naa . ## SANDHYA'S MOTHER : Uski barabari ki naa soch . ## SANDHYA : Sahi kahi , uski meri kya barabari ! Papaji , khaana le lo . ## SANDHYA'S MOTHER : Kuch Prem ke liye bhi rakh de . ## SANDHYA : Aye , Samar - chal baith ke kha . ## SANDHYA'S MOTHER : Arey , mera toh upwaas hai . ## SANDHYA : Bara baj gaye , agla din shuru ho gaya , naashta samajh ke kha lo . ## SAMAR : Ek last baar dekh lo didi , ho sakta hai Jijaji hee ho . ## SANDHYA : Amma ki god mein soye pade honge , tu khaana kha . ## \nHypothesis: SANDHYA call nahi karti", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "321630ee-8956-49d2-9a76-91c1374b8dce", "original_id": null, "input": "Premise: SIMMY : main jaan ne wali hun .. ## RAGHAVAN : matlab ? ## SIMMY : phone pe bol rahe the na apni Maa se .. jaan ne wali ke ghar pe Raghavan stops . ## RAGHAVAN : toh kya bolta ? ## SIMMY : sach bol dete ## RAGHAVAN : kya sach bolta .. jiske saath sota hun .. uske .. ## SIMMY : neend toh tumhe kisi ke saath nahi aati hai .. maine toh kabhi sote hue nahi dekha .. ## RAGHAVAN : tu na zyada .. ## RAGHAVAN : Madam ko gaadi tak chhod ke aa .. Simmy walks down the satairs with Cops . Kamble climbs up the stairs , he is holding Ramanna's shirt . ## \nHypothesis: RAGHAVAN madam ko gaadi tak drop kar ke aaega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "fb3dfa21-ee9e-49df-ac5b-f564eade788b", "original_id": null, "input": "Premise: BHAIRAV : Tumhara result kab aa raha hai ? ## ROHAN : Aaj ... ## BHAIRAV : Kitna expect kar rahe ho ? ## ROHAN : Pass ho jaaonga ... ## BHAIRAV : Tumhara standard kya hamesha se he itna neeche raha hai ? Pass ho jaaonga ... ## BHAIRAV : Aaj Delhi se bade clients aa rahe hain ... Bada order hai .. ## \nHypothesis: ROHAN paas hona expect kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "eb65b911-b44f-492f-9fe3-6ae4ee1a4d77", "original_id": null, "input": "Premise: ISHAAN : Pehle ek baar poora field setting check karle .. ## ISHAAN : Ek fielder mid off pe .. ## ISHAAN : Ek close in catcher cover point pe .. ## ISHAAN : Do fielder slip mein .. ## ISHAAN : Sab timing ka khel hai . Gaps doondh ke ball ko nikal na hai ## \nHypothesis: ISHAAN ko lagta hai sab kismat ka khel hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "68b2e679-a084-4f06-8d23-0a80c11baa05", "original_id": null, "input": "Premise: OMI : To aap baat karenge baapu ? ## OMI : Bapuu ? ## OMI : Aap trustees se ek baar baat karenge na dukaan ke bare mein ? ## OMI'S FATHER : Tujhe kya pata hai dukaandari ke baare mein ? Kabhi vyapaar kiya hai ? Nuksaan hua to Kaun bharega ? ## OMI : Arre Bapu , Govind ne saari planning kar rakhi hai . Jis din jagah lock ho jayegi , hamaari partnership shuru . ## OMI'S FATHER : Trust ka sara kaam Bittoo dekhta hai . Yeh uchit nahi hoga ki main trustees se tere liye kuch maangoo . ## OMI'S MOTHER : Bapu ki baton mein mat aa .. tere apne mama hain .. Seedha jaake baat kar ne . ## OMI : Aap ek baar baat karke dekho na Ma .. ## \nHypothesis: OMI OMI'S FATHER ko trustees se dukaan ke bare mein baat na karne ko keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "66e51850-c75d-482e-8763-78c26618bc09", "original_id": null, "input": "Premise: SHAHID : Toh ... ## TARIQ : Toh light off kar ... ## SHAHID : Mujhe padhna hai .... ## TARIQ : Light off kar , Maine nahin bola gaon mein rukne ke liye . Arif wakes up ... Looks at the time ... ## ARIF : Raat ke 3 baje hain , yaar ... ## TARIQ : Light off kar ... ## SHAHID : Mujhe padhna hai .... ## TARIQ : Off kar ... ## SHAHID : Nahin ... ## MOTHER : Chalo Shahid upar chalo ... Shahid picks up his books and follows mother . ## \nHypothesis: SHAHID ko padhna hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "4cde2cbf-f731-4d94-a2c4-c7ba12990f69", "original_id": null, "input": "Premise: RIANA : Ohhh ... usne tumhari sahi .. ## RIANA : So , Last kise date kiya tha ? ## RAHUL : Mera interview le rahi ho ? ## RIANA : Nahin tumhara gum baat rahi hun .. C'mon . ## RAHUL : Family friend thi - Anusha , yahin Vegas me rehti hai . ## RIANA : Toh--?? ## RAHUL : Toh kya--?? ## RIANA : Baaki ki kahani ?? ## RAHUL : Ahhh .. 2-3 date ke baad uska phone aana band ho gaya .. ## RIANA : Kyoun ?? ## RAHUL : Shaayad I wasn't good enough !! ## \nHypothesis: 2-3 date ke baad RAHUL ko Anusha ka phone aana band ho gaya.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "f97d4697-4a48-4fc3-93af-f33f01ce7f5f", "original_id": null, "input": "Premise: GOVIND : Kya .. Praful bhai , gayee diwali se rate badhaane ki baat hui thi .. Idhar mehangayee to har mahine badhe ja rahi hai ## PRAFUL BHAI : Agle time se har item pe do do rupayee badha denge ## GOVIND : Chaar bola tha aapne ## PRAFUL BHAI : Chalo .. Teen pakdo ## PRAFUL BHAI : Govind bhai gilli danda ramta tha tyaarthi tamara khakhra thepla vechu chu , koi diwas nuksaan thayu che ?? Par govind bhai paako vyaapari banigyo , haan jamna ben ? ## JAMNABEN : Badhi thakur ji ni krupa che ## GOVIND : Fraud che saalo . ## \nHypothesis: PRAFUL BHAI har item pe teen rupayee badhane ko taiyaar ho gaya. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "6ae07f7a-136c-431a-ab9d-849e237c82c9", "original_id": null, "input": "Premise: DOCTOR : Maine dekhe the ... lekin bolta to pata nahin tumhaare father kaise react karte ... ## DOCTOR : Ye unhone kiya tha ? ## DOCTOR : Tumhari mummy kahan hai ? ## ROHAN : Nahin hai ... Arjun ki mummy bhi nahin hai . ## DOCTOR : Tum chaaho to police mein complain kar sakte ho ... ## ROHAN : Vah kya karenge ? ## DOCTOR : Tumhaare papa ko pakadkar unse savaal karenge . Arjun se poochtaach karenge . Vah jo bhi karenge tumhaare papa dobaara kabhi aisa nahin karenge . Unke khilaaf kaafi mazboot case ban sakta hai . ## ROHAN : Vo roz roz aisa nahin karte ... ho sakta hai papa ne galti se jor se maar diya ho ... bhaag kar bhi vahi to le ke aaye the na ... ## ROHAN : Thank you ... ## \nHypothesis: ROHAN ki mummy nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "aea57b4e-b15a-4424-814a-8781749a6684", "original_id": null, "input": "Premise: INZAMAM: : How can you not send me pilots , this is your plane , usme baithe passengers aapki zimmedaari hain , ## PAN-AM OFFICIAL: : It is your Airport . This is your responsibility . We cannot risk our crew for this . ## INZAMAM: : And the air hostesses ? They are your crew ## PAN-AM OFFICIAL: : Sir , the plane is in your airport , the breach has been of your security . We cannot risk two more lives . ## MAN: : Janaab , aapke ghar se phone aaya tha , bhabi ne khaane khaate hi phone karne ko kahaa hain . ## \nHypothesis: MAN ke ghar se call aaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "713d1274-9917-4f3f-a61d-13bb52ac2cb5", "original_id": null, "input": "Premise: ZAMINDAR : Rah kahan rahe ho tum ? ## VARUN : Circuit house mein ... mandir ke paas hai ... ## ZAMINDAR : Yah apna maatha kahan phod liya ? ## VARUN : Meri motorcycle ki ek gaadi se mutbhed huyi thi ... ## ZAMINDAR : Manikpur mein ? ## VARUN : Ji ... ## ZAMINDAR : Kaun chala raha tha ? ## VARUN : Main hi chala raha tha ... ## ZAMINDAR : Dono ek saath chalaaoge to phir mutbhed to hogi hi ... ## VARUN : Main motorcycle chala raha tha ... ## ZAMINDAR : Of course ... ## VARUN : Aur gaadi pata nahin , koi nauseekhiya chala raha tha ... itni chaudi sadak par ek itni si motorcycle ... phir bhi ussi mein bhidaane ja raha tha ... inn andhe nauseekhiya ko gaadi kyon koi chalaane deta hai meri samajh mein nahin aata ... ## PAKHI : Sorry sorry ... Jaldi thanda paani layiye ... ## \nHypothesis: circuit house mandir ke paas hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "da0d1662-8246-4ac2-a9a3-7673660f9793", "original_id": null, "input": "Premise: ISHAAN : Pehle ek baar poora field setting check karle .. ## ISHAAN : Ek fielder mid off pe .. ## ISHAAN : Ek close in catcher cover point pe .. ## ISHAAN : Do fielder slip mein .. ## ISHAAN : Sab timing ka khel hai . Gaps doondh ke ball ko nikal na hai ## \nHypothesis: ISHAAN field set kar raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "b1c49487-2342-4114-a330-56c01acbeaa9", "original_id": null, "input": "Premise: PRIEST : Nahi Jajman agar aap mritu ka samay nahi batayenge to daah sanskaar nahi ho sakta .. ## PRIEST : Jajmaan .. Samay .. Mrityu ka .. ## RAMESH : 2 baje Subah .. ## RAMESH : I just made a rough guess Sir .. ## ASHWIN : Arre roko roko . ## ASHWIN : 2 Bhuttey lana . Neembu kam , mirchi zyada . ## RAMESH : Main nahi khata Bhutta . ## ASHWIN : Apne liye manga raha hoon dono . Pata hai tum nahi khate .. Bhutta . ## RAMESH : Kaise ? ## ASHWIN : Rough guess sir . ## \nHypothesis: Agar RAMESH mrityu ka samay nahi bataega toh daah sanskaar nahi ho paega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "3c882ca2-fdcd-4957-9858-e014e5e23dc8", "original_id": null, "input": "Premise: PRADEEP : Baat karen ? ## VIKRAM : Khana khale . Dekhte hain phir . ## TITLI : Abhi rehen do , theek lagri hai . T h o d i a u r thandi hojegi subah tak . ## VIKRAM : Paani pakda . ## \nHypothesis: PRADEEP baat karna chahta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "21d195b9-05ee-4631-b554-4dd54fede16d", "original_id": null, "input": "Premise: RIANA : Ohhh ... usne tumhari sahi .. ## RIANA : So , Last kise date kiya tha ? ## RAHUL : Mera interview le rahi ho ? ## RIANA : Nahin tumhara gum baat rahi hun .. C'mon . ## RAHUL : Family friend thi - Anusha , yahin Vegas me rehti hai . ## RIANA : Toh--?? ## RAHUL : Toh kya--?? ## RIANA : Baaki ki kahani ?? ## RAHUL : Ahhh .. 2-3 date ke baad uska phone aana band ho gaya .. ## RIANA : Kyoun ?? ## RAHUL : Shaayad I wasn't good enough !! ## \nHypothesis: 1-2 mahine baad Anusha ka call aana bandh ho gaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "580a6737-e886-4143-a92d-9e5510f9ea91", "original_id": null, "input": "Premise: SHAHID : 10 minute mein session hai . Bol . ## RAMANATHAN : Tu yakin nahin karega . ## SHAHID : Kya ? ## RAMANATHAN : Abhi abhi aaya hai . Judge ne Sohail case pe enquiry baitha di hai . Shahid stands still ... Coming to terms and then a gentle smile ... ## SHAHID : Kaise ? ## RAMANATHAN : Unko laga ki case withdraw kyon hua ? Kuuch lafda hai , samajh gaye . Shahid smile expands a bit and more ## \nHypothesis: 10 minute mein session hai .", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "b04092d2-6cf6-4140-a163-b7c86259959c", "original_id": null, "input": "Premise: JUDGE : Mr and Mrs Kumar aap log Mutual Consent ## JUDGE : Mr . Kumar ## ASHWIN : Mere paas koi vajah nahi hai .. ## JUDGE : Mrs Kumar .. Arzee aapne jama ki hai court mein .. ## REEMA : Alag hone ki vajah nahin hai toh saath rehne ki bhi koi vajah nahin hai .. ## REEMA : Hum bevajah saat sote hain aur saath jagte hain , bevajah ladte hain aur bevajah hi pyaar karte hain .. Hamara rishta kai saal pehle mar chuka hai . Hum dono uski laash ki boo mein sad rahe hain , bina vajah .. ## ASHWIN : Shaadi ke baad hum dono ke affairs bhi hue thhe .. ## REEMA : Kin logon ke saath wo bhi jaan-na chahenge aap ? ## \nHypothesis: REEMA aur ASHWIN ka rishta kai saal pehle mar chuka hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "1cb905a5-17dc-4210-a0cc-e827b4b83d58", "original_id": null, "input": "Premise: ANUSHA : Hi !! ## RAHUL : Hello ! ## ANUSHA : Toh kya karna hai ? ## RAHUL : Uhh .. Pehle khana kha lete , khana thanda ho raha hai . ## ANUSHA : I hope , sense of humor ke alava baki sab kuch bhi improve hua hai . ## RAHUL : Haan , definitely . ## ANUSHA : Ek kaam karo is taraf aao . ## ANUSHA : Betho . Seat toh bandh karo . ## ANUSHA : What ? ## MAN OUTSIDE : Sorry . ## RAHUL : Mujh se nahin hoga . ## ANUSHA : Kya . ## RAHUL : Mujhe bahar jaana hai . ## ANUSHA : Oh , you wanna play shy with me ? ## RAHUL : Anusha please-- ## RAHUL : Please !! ## \nHypothesis: RAHUL ne ANUSHA se Pehle khana kha lene ko kaha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "7bdef837-3c59-4cf4-b261-615eeb8407ae", "original_id": null, "input": "Premise: ASHWIN : Tumne bulaya tha kya mujhe ? ## DATE : No .. ## ASHWIN : Maine drink .. piya tha na tumhara . ## DATE : Cheers .. ## ASHWIN : Arrey .. Cheers to karne do . ## ASHWIN : Chalo ander . Ek meri taraf se . ## DATE : Sorry .. Mujhe jana hai . ## ASHWIN : Kahan ? Uske ghar ? ## DATE : Haan .. ## ASHWIN : Hello .. Koi hai .. ## ASHWIN : Aspatal hai koi aas paas ? ## ASSISTANT : Please call for an ambulance . ## LOBBY MANAGER : Kya hua ? ## ASHWIN : Kya nahi kyon hua poochiye . ## LOBBY MANAGER : Kyon ? ## ASHWIN : Wahi purani ladai ki jadh .. Ladki .. ## LOBBY MANAGER : Kaun tha ..? ## ASHWIN : Main . ## \nHypothesis: DATE ne ASHWIN ko bulaya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "cd275e7f-f935-4ba0-8f99-a4b3beae5a3d", "original_id": null, "input": "Premise: RAHUL : --Fork . ## RIANA : Here ... Aur kyounki tum ne mujhe yahan rehne diya , I'll tell you a special trick . Apni gaadi mat leke jaana , har ladki ko kabhi na kabhi apne boyfriend ko ghar chodna acha lagta hai . (making it sound more interesting) ## RIANA : ..And phir tum wohi kar sakte ho jo tumhari ex girlfriend ne tumhari car mein kiya tha . ## RIANA : Sun Rahe ho ? ## RAHUL : Nahin ! ## RIANA : Tum phone kar rahe ho ?? ## RAHUL : Not a chance . ## \nHypothesis: RIANA wo nahi kar sakta jo uski ex ne car mein kiya tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "0613ff06-9579-402f-af68-4786f44cb89d", "original_id": null, "input": "Premise: WOMAN : 50 euros ## RANI : What ? ## WOMAN : 50 euro for half an hour ## RANI : No .. Noo .. Vijaylaxmi ! ## WOMAN : Vijaylaxmi ?... Ohh Vijaylaxmi ! ## WOMAN : Come in come in ... Vijaylaxmi is my best friend ... sit sit .. you are ... queen ? ## RANI : Rani ## WOMAN : India ? ## WOMAN : Salaam aleikum ... hum rukhsaar ... yahan roxette ## WOMAN : From sharjah ... aap kya nosh farmaana pasand kareingi ... tea ? Coffee ? ## RANI : Nahin nahin ... aapkey liye ... yeh packet ## RUKHSAAR : Humari ammi ne bheja ... khajoor ... vijaylakshmi ka address hai unki paas ... yahan ka nahin de saktey ... unhey zara sa bhi ilm hua ke hum yahan hain .. To allah ko pyari ho jayeingi ## RUKHSAAR : Yeh to lena padhega ... khajoor nahin ammi ka paigaam-e-mohabbat hai ... bismillah karo ## \nHypothesis: RUKHSAAR ki ammi allah ko pyari ho gai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "असंगत" }, { "id": "1ddea753-cd08-406a-8a52-c44662e0affa", "original_id": null, "input": "Premise: SHAHID : 10 minute mein session hai . Bol . ## RAMANATHAN : Tu yakin nahin karega . ## SHAHID : Kya ? ## RAMANATHAN : Abhi abhi aaya hai . Judge ne Sohail case pe enquiry baitha di hai . Shahid stands still ... Coming to terms and then a gentle smile ... ## SHAHID : Kaise ? ## RAMANATHAN : Unko laga ki case withdraw kyon hua ? Kuuch lafda hai , samajh gaye . Shahid smile expands a bit and more ## \nHypothesis: SHAHID believe nahi karega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "6c55e61f-e80c-40fd-82ac-58d3fa24be33", "original_id": null, "input": "Premise: NEELU : Main nahi karungi . ## TITLI : Kya ? ## NEELU : Tune jo boli , jaise boli , maine karli . Gasht pe nahi jaungi phir . ## TITLI : Pagal hogayi tu ? ## TITLI : Bana banaya game bigad jega pura ! ## NEELU : Maine murder nahi karna . Mujhe Prince ke paas jaana hai . ## TITLI : Kya kar ri hai tu . Ruk ! Baat sun ek mint meri ! ## NEELU : Nahi chod . Maine jaana hai . Main Prince ke paas reh lungi , sample flat mein . ## TITLI : Ek .. Ek gasht ki toh baat hai . Karle pata nahi chalne kisi ko . ## NEELU : Nahi . Main nahi . ## TITLI : Chorr ! Phone Chorr ! ## NEELU : Tu chorr . Mereko Prince ke paas jaana hai ! ## TITLI : Nahi ja sakte Prince ke paas . ## NEELU : Kyon ? Kyon nahi ja sakte ? ## TITLI : Chorr . CHORR ! ## NEELU : Wapas kar . Mera phone hai . Wapas de !! ## NEELU : Aaaaiyaaa haaaaa ! ## NEELU : Jaane de mujhe bhainchod . Achchi family se h u n main . Tum jaisi criminal n a h i hun . MAINE NAHI LENI JAAN KISI KI !! ## TITLI : Chup . Chup ekdum . Bahar sunega ! ## NEELU : Tune jo karna hai karle . Maa ki kasam hai meri ! Maine nahi hissa lungi iss chakkar mein . Prince ke bina , chahe Prince ke sang . ## TITLI : Sorry . ## TITLI : Dekh main tere sang hun , saamne nahi . Main khud phasa hua hun . ## NEELU : Mereko nahi pata . Prince ke paas chorr ke aa mereko abhi . ## TITLI : Abhi kahan jayegi tu raat mein . Gharpe hoga wo . Biwi ke saath . ## NEELU : Main baat karti hun . Soch lenge wo kuch na kuch . ## TITLI : R u k tu . Main baat karta h u n . Galti se koi aur phone utha lega toh panga ho jayega . Bekaar mein mere paise jayenge . ## \nHypothesis: TITLI NEELU ko raat mein nahin jaane ko keh raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "अनुलाग" }, { "id": "623f7b8b-48e4-438b-8f99-44ddac71811c", "original_id": null, "input": "Premise: ANKIT : Kya bola doctor ? ## RAJVEER : Vohi jo itney din se bol raha hai ! Kabhie kuch h seedha bo ltey hain doctors ? ## VISHWA : Phir bhi kab tak theek - ## RAJVEER : Dekhety hain dekhtey hain bol raha hai ! What else will he say ? Kuchh nahi ho sakta bolega toh fees toh gayi na uski ! (sigh s the n mil dly aggressive) Voh Minal mujhe mil jaaye ne abhie , main usey - ## ANKIT : Mil ja yeg i .. . j al di ! Tu m d ekh o aagey kya hota hai Rajvir !!! ## VISHWA : Tu wahan tha bhi nahin Ankit Please chaabi lagana bandh kar .. ## ANKIT : Jo kar rahein hain ussey dar lag raha hai tujhe ? ## \nHypothesis: RAJVEER jaldi theek ho jayega. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "c2447dbe-b047-43d5-8050-5f9ce0d4a72f", "original_id": null, "input": "Premise: INZAMAM: : Pan Am ek french crew ko tayyar kar rahaa hain ## SAFIRINI: : Kitni der mein ? ## INZAMAM: : Bas kuch hi der , tab take passengers mein se kam se kam aurtien aur bache toh chhod do . ## SAFIRINI: : Tum waqt batao . Pilots jaldi aaye toh hum tumhari baat par amal karne ki sochenge ## INZAMAM: : Mai poori koshish kar rahaa hoon , airport bandh hai issiliye unhe aane mein thoda waqt lag sakta hain ## SAFIRINI: : Waqt nahi hain Inzemam . angrezi samajhne waali crew bhej jaldi . ## INZAMAM: : Tum aurtein aur bache bhejoge ? ## SAFIRINI: : Sochenge . ## \nHypothesis: INZAMAM keh raha hai ki jitne kam se kam ho sake utne hi aurtien aur bache chhodo. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "db579590-84bc-42bf-982f-1cf279d294a5", "original_id": null, "input": "Premise: MINAL : Yes ! ## SARLA PREMCHAND : Chaliye zara baat karni thi ! ## FALAK : Kahan ? Aap oopar - ## SARLA PREMCHAND : Hum wapis drop kar dengey - abhie - ## FALAK : Nahi yeh aisi nahi jayegi - ## SARLA PREMCHAND : MUKESH inko warrant dikhao ! ## FALAK : Wa rr a nt ? W ar r an t k y un F I R t oh humney - ## MUKESH : \"Attempt to murder\" ka charge hai inpe . Chaubess tareekh se hum inhey dhoondh rahein hain - Resort walon ne ne - ## FALAK : Kya bakwaas hai yeh - ## \nHypothesis: SARLA PREMCHAND wapas drop kar dega abhi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "b599d1a5-1ebd-4ee4-9f82-c73835db765d", "original_id": null, "input": "Premise: RANJIT : Bula lao sabko ? ## RANJIT : Kahan hua tha yeh ? ## ANKIT : Surajkund mein ! ## RANJIT : Kaun kaun tha ? ## RAJVIR : Main Dumpy aur Vishwa thhey ? ## RANJIT : Achha yeh nahi tha ! ## RAJVIR : Nahi Mamamji Ankit aapke saath tha na Patiala toh - ## RANJIT : Ladkiyan kahan ki hain ? ## ANKIT : Ek Dilli ki hai - ek Lucknow se aur teesri Arun achal , Sikk im vikkim kahin ki toh hai Sir ! ## RANJIT : North East se hai ! Hmmh ! Jao tum log jao ! Raju tu nahi ! ## RANJIT : Bade ho gaye ho - bachon ki dosti chhodo ! ## \nHypothesis: Surajkund mein RAJVIR, Dumpy aur Vishwa thhey. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "ff5e9aa6-ebdb-456b-b901-30bf8a2040e1", "original_id": null, "input": "Premise: SUPPLIER PANDITJI : Govind Bhai , who Ish bhaiya nahi mile kuch din se .. ## ISHAAN : Ish Bhaiya ko apne aap se mile hue bahut din ho gaye .. ## SUKETU : Mujhe match dekhna hai .. Phleeeze !! ## MRS MEHTA : Namaste .. Main Mrs . Mehta . Yeh mera beta Suketu hai .. ' cricket cricket' karke hairaan kar diya hai .. Main actually aarti ke liye late ho rahi hoon .. kya woh yahan thodi der match dekh sakta hai ? ## \nHypothesis: SUPPLIER PANDITJI aarati ke liye late ho raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "345080a3-1b08-47fa-a6c4-7ddb07ba4be8", "original_id": null, "input": "Premise: JUDGE : Aap ki report kehti hai ki adalat mein Maa Baap ko qatil saabit karna mushkil ho sakta hai . Mushkil ? Matlab .. namumkin to nahi hai na bhai ? Bakwas hai aapki ye closure report , nahi accept ho sakti . Parents pe murder ka charge lagaiye or trial shuru kijiye . ## JUDGE : Lunch time hua ki nahin ? ## PAUL : Vedant Sir , hamaari karni yahin tak ki hai . Sanga Saab , ab geind aapke paaley mein hai . ## PAUL : The ball is in your court ! ## \nHypothesis: Report ke hisab se maa baap ko murderer saabit karna bahut easy hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "37a68112-9962-44a9-9116-ded8aaf7c1ef", "original_id": null, "input": "Premise: ROHAN : Aapne bulaya tha sir ? ## BHAIRAV : Late kyon hua aaj ? ## ROHAN : Arjun ko school chhodne gaya tha . ## BHAIRAV : Subah late kyon hua ? ## ROHAN : Bathroom mein tha . ## BHAIRAV : Baal bana rahe the ? ## BHAIRAV : Factory mein koi der se aaye , humko pasand nahin hai Rohan ... khaas taur se agar vah mera beta ho ... ## ROHAN : Sirf paanch minute der hi to hua tha ... ## BHAIRAV : To ? ## ROHAN : To ye ki bas paanch minute late tha aur agar aap impatient hokar gaadi mein bhaag nahin gaye hote to hum late nahin hote ... ## BHAIRAV : Aawaaz neeche karo ... ## ROHAN : Main chilla nahin raha hoon . Main vah bol raha hoon jo ... ## BHAIRAV : Phir kabhi oonchi awaaz mein humse baat mat karna ... ## BHAIRAV : Hahn Mrs . Batra ... boliye ... ## \nHypothesis: ROHAN sirf 10 minute hi late hua tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य का वर्गीकरण करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "91d93336-2c4f-495e-82ce-c8e95b6db101", "original_id": null, "input": "Premise: PIYUSH : Mere kapde ? ## MISHRA : Kya bhasad macha rakhi hai ? Baajaar bana diya yahaan ... ## MISHRA : Naam ? ## PIYUSH : Piyush Aggarwal ! Chhod do sir !!! ## MISHRA : Kya karte ho ? ## PIYUSH : Student hun sir .. ## MISHRA : Kahan se aaye ho ? ## PIYUSH : Aaa .. Allahabad se . Sir , please sir !! Kuch settlement kar lo sir .. Please !! ## MISHRA : Naam ? ## DEVI : Devi . ## MISHRA : Tumra life toh kandam ho gaya . ## MISHRA : Bahin-chod isey kya hua ? ## \nHypothesis: PIYUSH Allahabad se aaya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "1ff4a111-b76a-4632-8cc5-5cfc0996e1dc", "original_id": null, "input": "Premise: MINAL : Report aa gayi Papa ki ? ## LAJWANTI : Haan aa gayi ... sugar thodi badi hui hai lek in toone ph one kaise kiya ? ## MINAL : Kai se kiy a m atl ab - kya ma tla b mamma ? ## MINAL : I'm not feeling well , Andrea thoda paani garam kar na please ... ## ANDREA : Coffee ? ## \nHypothesis: Papa ki suger thodi kam ho gayi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "e91c7cbb-d3b1-48c6-8a3b-cfc6a8c11523", "original_id": null, "input": "Premise: ISHAAN : All the best boys .. Now focus . ## GOVI : Sorry .. late ho gaya .. Dukaan band karke aa raha hoon . ## ISHAAN : Omi ? ## GOVIND : Subah saat baje se nikla hua hai .. Full force mein campaigning chal rahi hai ## ISHAAN : Practice kara kara ke thak gaya .. abhi tak off ke ball ko leg pe maare ja raha hai .. shi !!! ## GOVIND : Relax kar Ish .. Usey apna natural game khelne de . hamesha copybook nahi khel skate .. tu bhi to innovate karta tha na . Let him enjoy . ## GOVIND : Its a good start .. dont worry . ## ISHAAN : Arre kaaaiiipo !!! ## TEAM KIDS : Ali Baba aur chaalis chakke .. ## \nHypothesis: Campaigning bahut slow chal rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "cb9ffb84-27e9-41a0-aade-d009efaf4d5c", "original_id": null, "input": "Premise: YADAV : Ae ... kya ho raha hai ? Kisne kaha yahaan aane ... ## DEVI : Apna samaan lene aayi hoon . Aur yeh aisa gandi baaton waala phone dobara mat karna ... sadak pe dauda ke maarenge ! ## YADAV : Topper ladka tha apna ... sharam nahin aayi ? ## DEVI : Jo bhi kiya donon ne kiya . ## YADAV : Mara toh wo akela na ! ## \nHypothesis: DEVI apna saaman lene aai hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "अनुलाग" }, { "id": "2ef1f2e5-bf1e-488b-b9e6-56868142d542", "original_id": null, "input": "Premise: SHAHID : Nahin kiya . ## RAJESH : Ruthe ho ? ## SHAHID : Nahin ... ## RAJESH : Phir ? ## SHAHID : Because , I am such a fool ## RAJESH : Nahin . Prachand murkh . Shahid smiles ... They start walking ... ## SHAHID : Main nahin karoonga follow up . ## RAJESH : Kranti ? ## SHAHID : Kranti ? Bas yeh dekh kya sahi hai . ## RAJESH : Kya hai ... ## SHAHID : Sirf paisa nahin , har samay nahin . ## \nHypothesis: SHAHID har samay paise ke baare main sochta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "46609e93-daf3-4298-8112-e295bd57275e", "original_id": null, "input": "Premise: KARKI : Deepak ... ## DEEPAK : Ji sir . ## KARKI : Ye placement ka form bhara ? ## DEEPAK : Nahi sir ... main ... (his attention goes to his friends waiting outside) Main bhar doonga . ## KARKI : Abhi bharo . Agle hafte last date hai . Kahaan jaana hai ? ## DEEPAK : Nahin ... kahin nahin . ## \nHypothesis: Form bharne ke liye DEEPAK ke friends bahar wait kar rahe hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "असंगत" }, { "id": "981ba771-df5b-4acb-92dc-ec78453ae2f9", "original_id": null, "input": "Premise: MAN : Bauji koyi koyi kahta hai- ki ek gyaan hota hai jo ki paidaish se saath rahta hai- anubhav ke parey .. ## MAN : Jaise ki- kachua baalu par nikalta hai andey se- aur nikalte he samudra ki taraf bhaagta hai .. Cheel aur baaz se bachne ke liye .. Lekin ! Usey yeh kaise pata hai ki samudra mein pahunch ke woh surakshit hoga- Woh toh abhi paida hi hua hai na .. ## MAN : Toh Bauji- Kya kahte ho aap ? ## BAUJI : Bhai jaisi jiski marzi .. ## \nHypothesis: ek gyaan anubhav ke parey hota hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "2c2dce61-a0a3-46fe-9430-299e15bb6ded", "original_id": null, "input": "Premise: KASTURI : Hello ! ## KASTURI : Namastey , uhh ... Kaun bol raha hai puttar ? ## KASTURI : Haanji puttar hai toh mera hi - par itni raat ko - ki ho gaya ? ## KASTURI : Kya ma tla b p utt ar - mai n k uch h samjha nahin ? ## \nHypothesis: KASTURI sab kuch samajh gaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "e2373098-8fe8-48f9-9466-6e025e6eefa5", "original_id": null, "input": "Premise: ZAHEER : Nauvin baar .. bail denied . ## SHAHID : Zaheer , maine yeh pahle bhi kaha tha . Unke paas kuuch nahin hai , isliye delay kar rahein hain . Zaheer nods his head . ## ZAHEER : Kitna waqt , aur ? ## SHAHID : Ek mahina .. Bahut hai .. ## ZAHEER : mahine dekh liye , ek aur sahi . ## SHAHID : Glass is half full , Zaheer . Glass is always half full . Zaheer smiles . ## ZAHEER : Unko sirf Gujarat riots ke video mile ? History channel ke World War 2 ke genocide ke video jo us hard disk par thhe ? Uska zikra bhi karte ? ## SHAHID : Unka case hai yeh . ## ZAHEER : Case weak ho jaayega na ? Delete bhi kar diya hoga . ## \nHypothesis: SHAHID thinks glass is half empty", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "8384bc73-5fbb-4ecc-8948-dcce91ada184", "original_id": null, "input": "Premise: FALAK : Kuchh legal term use k i thi ... consultation nahi kuchh ... haan conference - toh un sab lawyers ne- ## DEEPAK : Blocking fees ! ## FALAK : Haan ... toh un sabne mana kiya ... bola Minal ko isliye represent nahi kar saktey ! ## DEEPAK : Haan - Legally nahi ! ## ANDREA : But th ere is on e law yer wh o i s willing to represent us ! ## DEEPAK : Who ? ## ANDREA : Rajeev Kumar ! ## DEEPAK : No . Not him . Chor hai ek number ka . I know him . ## FALAK : Maine ... Minal ko itna helpless kabhie nahi dekha ! She used to be a brave girl . ## ANDREA : What should we do then ? ## FALAK : Sir ... we are not prostitutes ! / We are normal working girls / Humney kuchh nahi kiya ! ## \nHypothesis: DEEPAK ne kaha ki Rajeev Kumar Chor hai ek number ka.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "8a625aa4-517d-40a8-8572-a76dae728d5d", "original_id": null, "input": "Premise: LIBRARIAN : Shahid ... ## LIBRARIAN : Results declared ... ## SHAHID : Main fail ... ## LIBRARIAN : Itne mayusi se kaise chalega ?... ## SHAHID : Fark kya padta hai . ## LIBRARIAN : Pass . ## SHAHID : Kya karoon iska main yahan ?.. ## SHAHID : Maine socha tha , bahar nikalne ke baad main kuuch kar paaonga .. main . ## LIBRARIAN : Toh , yeh padhai jo tumne ki , ye barbaad ho gayi court ke faisle se ? ## LIBRARIAN : Yeh saal jo tumne lagaye , yeh degrees , knowledge koi cheen nahin sakta tumse . Tum yeh nahin bhi kar sakte thay , par tumne yeh kiya . You should be proud of that . ## \nHypothesis: Results declare ho gaye hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "4bb16f7e-e6b1-429f-b8a0-6e98f80b2292", "original_id": null, "input": "Premise: MANSOOR: : Nahi Fahad nahi , agar humne iss bomb ko phek diya toh hum bhi mar jaayenge ## FAHAD: : Hum mar chuke hai Mansoor , aage kua peeche khaai hain , yahaan se bach nikle toh baahar militry maar degi ## NEERJA : Chalo , be brave now , for me . ## MANSOOR: : Militry maaregi nahi , giraftar karegi , hum bach sakte hain ## NEERJA : Go go , I'm right behind you . Woh aunty[pointing to a Sanjana at the end of the slide] tumhe catch kar lengi . ## SAFIRINI: : Fahad-Mansoor- Khalil- ## SAFIRINI: : Goli chala ## SAFIRINI: : Miltry ke haath marne se behtar hain hum apne haathon mar jaaye ## SAFIRINI: : chala goli . Iss tamashe ko khatam kar de ## \nHypothesis: FAHAD mar chuka hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "91da28c6-e5a6-48ff-ba78-942addd0d590", "original_id": null, "input": "Premise: CHAMPAKLAL : Sir ye dekhiye ... ## DHANIRAM : O bete ...!! Ho gaya case solved .. ## DHANIRAM : Forensic walon ko phone lagao . ## RAMESH : Body Khempal ki hi hai .. ## DHANIRAM : Aur ye nishaan ? ## DHANIRAM : Aapke ? ## DHANIRAM : Sorry .. ## \nHypothesis: Body khempal ki nahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "f6eafddd-57ae-42c7-95ef-d3e93590c8b0", "original_id": null, "input": "Premise: ROHAN : Aapne bulaya tha sir ? ## BHAIRAV : Late kyon hua aaj ? ## ROHAN : Arjun ko school chhodne gaya tha . ## BHAIRAV : Subah late kyon hua ? ## ROHAN : Bathroom mein tha . ## BHAIRAV : Baal bana rahe the ? ## BHAIRAV : Factory mein koi der se aaye , humko pasand nahin hai Rohan ... khaas taur se agar vah mera beta ho ... ## ROHAN : Sirf paanch minute der hi to hua tha ... ## BHAIRAV : To ? ## ROHAN : To ye ki bas paanch minute late tha aur agar aap impatient hokar gaadi mein bhaag nahin gaye hote to hum late nahin hote ... ## BHAIRAV : Aawaaz neeche karo ... ## ROHAN : Main chilla nahin raha hoon . Main vah bol raha hoon jo ... ## BHAIRAV : Phir kabhi oonchi awaaz mein humse baat mat karna ... ## BHAIRAV : Hahn Mrs . Batra ... boliye ... ## \nHypothesis: ROHAN paanch minute late aaya tha. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "4f93f14c-ead9-4cd2-8206-50091679c033", "original_id": null, "input": "Premise: HARISH: : Indira Gandhi's assassination ...Assassination mein kitne \"s\" hote hain ? ## JUNIOR JOURNO: : Uhhh ... Sir .. ## HARISH: : Nahi main waise hi pooch raha hoon . ## HARISH: : Hello ? ## \nHypothesis: HARISH waise hi pooch raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो दिए गए वाक्यों के बीच संबंध की जांच करें और उन्हें या तो 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "8bb6f57f-ba4b-4d73-ac92-68d380135225", "original_id": null, "input": "Premise: SHAHID : Kya ? ## OMAR : Prisoner ko cigarette deta kaun hai ? Police . Aur phir cigarette milne par marta kaun hai . Police . They walk some more . GHULAM NABI WAR passes and looks at them ... Shahid and him make an eye contact ... ## OMAR : Maine socha kuuch Gandhi jaisa karte hain . ## SHAHID : Par sab bhaag gaye ... ## OMAR : Mera Bharat mahaan ... 99 chor aur 1 beimaan . ## SHAHID : Maine suna hai yeh . ## OMAR : Kahaan Shahid stays quiet . ## \nHypothesis: cigarette milne par Police marta hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "1a04f3d9-2c61-489d-a475-25ee480ca666", "original_id": null, "input": "Premise: OLD LADY : khadi thi .. hai na .. ## RAGHAVAN : toh aapne us aadmi ko andar dekha , aapke pote ke saath baitha tha na .. sula raha tha .. doodh pila raha tha , hai naa .. ## OLD LADY : han .. ## RAGHAVAN : toh tabhi shaql dekha rahega aapne .. hai na .. wo shaql aisa tha kya .. ## RAGHAVAN : ye aadmi nahi tha ## OLD LADY : nahi tha .. ye aadmi nahi tha .. ## RAGHAVAN : Amma shaql toh yahi tha na .. Amma ek baar bol do yehi aadmi tha .. ## OLD LADY : nahi tha .. ye aadmi nahi tha .. ## \nHypothesis: OLD LADY ko lagta hai ke wo ye aadmi nahi tha", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "अनुलाग" }, { "id": "c9f609ff-2d2d-4e29-91e5-073897096e1e", "original_id": null, "input": "Premise: OMI : To aap baat karenge baapu ? ## OMI : Bapuu ? ## OMI : Aap trustees se ek baar baat karenge na dukaan ke bare mein ? ## OMI'S FATHER : Tujhe kya pata hai dukaandari ke baare mein ? Kabhi vyapaar kiya hai ? Nuksaan hua to Kaun bharega ? ## OMI : Arre Bapu , Govind ne saari planning kar rakhi hai . Jis din jagah lock ho jayegi , hamaari partnership shuru . ## OMI'S FATHER : Trust ka sara kaam Bittoo dekhta hai . Yeh uchit nahi hoga ki main trustees se tere liye kuch maangoo . ## OMI'S MOTHER : Bapu ki baton mein mat aa .. tere apne mama hain .. Seedha jaake baat kar ne . ## OMI : Aap ek baar baat karke dekho na Ma .. ## \nHypothesis: OMI OMI'S FATHER ke saath partnership shuru karna chahta hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "4ca63e49-8cbd-42e4-ba5a-47de9eba860b", "original_id": null, "input": "Premise: ANCHOR : Haal filhaal ki kuchh ghatnaon - jaise Surajkund case ki vajah se samaaj mein aaj ek behas chhidi hui hai - yeh behas azaadi ya personal expression ke virudh khadi karti hai acceptabilty ya samajik maap dandon ko - Swamiji aapse pochhna chahungi - baar baar auraton pe hi chhote chhote pratibandh kyun ? ## SWAMI JI : Kyunki shaleenta auraton ka hi gehna hai ! ## AD GURU : What nonsense Swami Ji ? What is this - a mythological TV serial in which we are living ! ## SOCIALITE : Aise attitudes naturally Patriachal societies mein kafi hadh tak prevail kartey hain ! ## MOTHER : Minu tu ... tu ... tu kuchh aisa vaisa mat karna ... tu ... ## MINAL : Utni kamzor nahi hoon main Maam - nahi toh baat yahan tak pahunchti ? ## \nHypothesis: Surajkund case ki vajah se samaaj mein aaj ek behas chhidi hui hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "9200bd01-53b5-455d-8c78-95bfc3867082", "original_id": null, "input": "Premise: RANVEER : Lanes kyun band kar rakhi hain ? ## RANVEER : Toh ? ## MEERA : Kya hua ? ## RANVEER : Huh ? ## MEERA : Kya bol raha tha wo ? ## RANVEER : Nah ... nothing . Some random fight . ## \nHypothesis: kuch random fight hui hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "4b795a26-073e-4f5e-bfa9-61637375249b", "original_id": null, "input": "Premise: BAUJI : Arre yeh chutney chakho .. ## MOTHER : Nahi nahi- humein nahi achhi lagti hai .. ## BAUJI : Arre kha kar toh dekho . Pehle hi har cheez mein na .. ## MOTHER : Kitney baras ho gaye hain ? ## BAUJI : 28 ! ## MOTHER : 28 ? Tum 28 baras se dhauns jama rahe ho mujh par ? Pichle janam mein bahut achhe karam kiye honge tumne , jo aisi achhi gharwali mili hai .. ## BAUJI : So toh hai .. ## BAUJI : Aur tumney ? ## MOTHER : Yeh janam toh cut gaya jaise taise- Main toh agle janam ka soch rahi hoon- abhi se .. ## BAUJI : Kaisa halka halka sa lag raha hai na sub .. Sub jhanjhat se parey .. Lag raha hai jaise akash mein udd raha hoon .. ## BAUJI : 105 ## MOTHER : Kuchh nahi .. ## BAUJI : Toh phir hansi kyun ? ## BAUJI : Arre kuchh bologi bhi ki khali khee-khee hi karti rahogi ..? ## MOTHER : Main kya boloon ? Tum hi udd rahe ho .. Batein toh badi badi karte ho anubhav ki .. Akash mein udne ka anubhav hai tumhe ? ## \nHypothesis: BAUJI ko bahut anubhav hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "असंगत" }, { "id": "8653dc8b-0fa2-4974-95db-edda94bbdec0", "original_id": null, "input": "Premise: PARANGAMA : Kya yeh sahi nahin ? Aap defend nahin karte terrorists ko ... ## SHAHID : Nahin .. ## PARANGAMA : Toh sahi kya hai ... ## SHAHID : Do you honestly believe ki jo log arrests hote hain woh guilty hi hai ? ## \nHypothesis: SHAHID ne kaha ki main terrorists ko defend nahin karta.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का विश्लेषण करें और उन्हें 'अनुलाग' या 'असंगत' श्रेणियों में वर्गीकृत करें।", "output": "अनुलाग" }, { "id": "c9988803-f186-45be-9e05-0f5f8c4f1b3c", "original_id": null, "input": "Premise: ISHAAN : Par Prashant bhai khade khade teen teen back to back chakke maar diye .. ## DOCTOR : Kuch log god gifted hote hain Ishaan .. tez raftaar se aati hui gend bhi unhe footbaal ki tarah dikhti hai .. Ab aap ise hyper reflex bolo , hand eye coordination bolo .. ya phir upar wale ki den . ## DOCTOR : Kyun beta cricket khelne mein mazaa aata hai .. ## ALI : Nahi .. ## \nHypothesis: ALI ko cricket khelne mein mazaa nahi aata hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "12554d34-fb10-43fd-9ee1-938a774fc6ae", "original_id": null, "input": "Premise: SANDHYA : Sambhalke ! ## PREM : Koi baat nahin . Iska stand thoda kharab hai . ## SANDHYA : Thoda ? ## PREM : Haan . ## PREM : Bajao ghanti . ## PREM : Bas tere ko hee raas naa aaya apna sasural !. ## \nHypothesis: SANDHYA ne bhi ye mana ki stand thoda sa hi kharab hai.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "60a26659-153e-47d9-a3f8-d6104ae2c6a2", "original_id": null, "input": "Premise: NOORUDIN : Haan . ## SHAHID : Yeh Nepal mein hua tha ? ... ## NOORUDIN : Haan . ## SHAHID : Apne Nepal mein hone ka kuuch proof hai tumahare paas ? ## SHAHID : Agar yeh map is pant se baramad hui hai toh (He moves forward and is about to pick a trouser) ## JUDGE : Wear a glove .. He picks up the blood soaked trouser anyways ... ## SHAHID : Is pant ki colour bata sakta hai koi ? Tajjub yeh hai , ki is map mein khoon ka ek katra nahin , jab poori pant , khoon ke rang se rang badal chuki hai . Sach to yeh hai ki map plant kiya gaya tha us pocket mein ... Yeh map asliyat mein vahaan tha nahin ... ## PROSECUTOR : Objection . Defence .. ## JUDGE : Noted ... ## SHAHID : That's all your honour . ## \nHypothesis: Judge glove pehen ne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "55996d85-98a1-4b0f-bb19-e2252e1bdedb", "original_id": null, "input": "Premise: MANSOOR: : Nahi Fahad nahi , agar humne iss bomb ko phek diya toh hum bhi mar jaayenge ## FAHAD: : Hum mar chuke hai Mansoor , aage kua peeche khaai hain , yahaan se bach nikle toh baahar militry maar degi ## NEERJA : Chalo , be brave now , for me . ## MANSOOR: : Militry maaregi nahi , giraftar karegi , hum bach sakte hain ## NEERJA : Go go , I'm right behind you . Woh aunty[pointing to a Sanjana at the end of the slide] tumhe catch kar lengi . ## SAFIRINI: : Fahad-Mansoor- Khalil- ## SAFIRINI: : Goli chala ## SAFIRINI: : Miltry ke haath marne se behtar hain hum apne haathon mar jaaye ## SAFIRINI: : chala goli . Iss tamashe ko khatam kar de ## \nHypothesis: NEERJA Goli chalane ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "74c8d61c-ee2c-4dac-a387-d5a5cc470fda", "original_id": null, "input": "Premise: SAMPRADAYIK SINGH : Khush khabri , sunega ? Shahid nods with difficulty . ## SAMPRADAYIK SINGH : Kaan mein kahoon ? Gets near .. ## SAMPRADAYIK SINGH : Teri maa raand hai .. ## SAMPRADAYIK SINGH : Bahanchod . ## \nHypothesis: SAMPRADAYIK SINGH is abusing Shahid. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "82dffc26-5f7a-4001-adb9-dfd44e9cf5c4", "original_id": null, "input": "Premise: SANDHYA : Suniye ! ## PREM : Hoon ? ## SANDHYA : So gaye ? ## PREM : Hoooon . ## PREM : Hun ? ## SANDHYA : Kuch chahiye ? ## PREM : Haan ! ## SANDHYA : Main laake doon ! ## PREM : Hun . ## \nHypothesis: PREM soye nahin hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "a9d24ea2-7353-4a45-b2fb-bd49d4a123b2", "original_id": null, "input": "Premise: RAHUL : Come on Tia , show me your moves ! ## TIA : Kaunse moves ? ## RAHUL : Arrey har kisi ka ek trademark step hota hai . Jaise mera ? Jab party shuru hoti hai toh main milk shake banata hoon ... ## RAHUL : Phir jaise mood banta hai main istri maarne lagta hoon , aise ... Aur jab music perfect ho toh main gaadi bhi dhone lagta hoon ! ## TIA : Normally main aise nachti hoon . ## RAHUL : Oooh ... Yeh shampoo ad wala step hai ... ## TIA : Lekin jab main bahut high ho jaati hoon toh main ## TIA : Sexy chakki peesne waali ban jaati hoon .. ## \nHypothesis: Aur jab music perfect ho toh RAHUL gaadi bhi dhone lagta hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "अनुलाग" }, { "id": "041d970a-cf26-4da1-a339-3fc626991838", "original_id": null, "input": "Premise: DEEPAK : Tum ghar mein sabse chhoti ho , hai na ? ## SHAALU : Haan . Kaise pata ? ## DEEPAK : Ghar mein sabse chhote hi aise kood- kood ke baat karte hain ! ## SHAALU : Chhoti hoon isiliye sab itna pyaar karte hain . (shows the gold and diamond ring on her finger) Bachpan mein pehnaayi thi Chachu ne ... aur ye ab atak hi gayi hai . Ungli badi ho gayi ... angoothi utni hi rah gayi . ## SHAALU : Aise kyon dekh rahe ho ? ## DEEPAK : Pata nahin . ## DEEPAK : Chhoti ho na sabse ... isliye pyaar aa gaya . ## \nHypothesis: SHAALU sabse badi hai isliye DEEPAK ko pyaar aa gaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच तार्किक संबंध का मूल्यांकन करें और निर्णय लें कि वे 'अनुलाग' हैं या 'असंगत'।", "output": "असंगत" }, { "id": "c6f3a975-e1fc-4599-91e2-7673aa3ddf89", "original_id": null, "input": "Premise: TV ANNOUNCER : The news has just come in from the dressing room .. It is confirmed . Ganguly has decided to declare the innings at 658 . They've set Australia a target of 384 to win . Its a challenging declaration .. the match has come back to life !! ## ISHAAN : Aur kahin humne unke dus wicket thok diye , toh ? ## ISHAAN : Cricket mein kuch bhi ho sakta hai kaka .. Apne boys ka morale abhi high hai .. kuch bhi ho sakta hai .. kyun Govind .. ho sakta hai na ? ## GOVIND : Mushkil hai .. pichle sau saalon mein sirf do hi baar hua hai .. max to max draw hai . ## ISHAAN : Tu bas statistics mein ghusa rah .. game to on hai boss !! ## \nHypothesis: GOVIND ne kaha ki haan, ho sakta hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "c3a74343-b673-45f0-8ae3-8f9401bb525d", "original_id": null, "input": "Premise: RAHUL : Thanks maa . Kaise ho ? ## MOTHER : Theek hoon . ## RAHUL : I missed you . ## RAHUL : Yahaan baitho na . ## MOTHER : Tum kasie ho ? ## RAHUL : Theek hun . ## MOTHER : Aur woh .. Tumhara .. ## RAHUL : Kaun .. Bolo maa .. ## MOTHER : I'm sorry .. ## RAHUL : Kyunki aap uska naam nahin bol paaye . ## MOTHER : Nahin , kyunki mujhe aur thoda waqt lagega . ## \nHypothesis: RAHUL ne mom ko miss nahi kiya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "fb56434a-39ec-4b3c-b5d6-dc0fb7baaf6e", "original_id": null, "input": "Premise: RAHUL : Ek second , gaadi rokna . ## RAHUL : Chachu aap chalo , Woh .. main bhool hi gaya .. ek dost se milna thha mujhe .. ## SASHI CHACHA : Main wait karta hoon ! ## RAHUL : Nahin nahin .. aap chalo na , main aata hoon .. ## \nHypothesis: RAHUL ne Ek second ke liye gaadi rokna ko kaha.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "160f6f3a-c872-4967-9b96-bf5045a8d06e", "original_id": null, "input": "Premise: KHALIL : Ek aur baar . tees second ki training hai na teri ? Phir se kar ! ## KHALIL: : Gadhe ! yeh tere haath kyun kaap rahe hain . Darpok ! ## SAFIRINI: : Khalil ! ## SAFIRINI: : Darre hua mat rehna , ab hum daraayenge apne plan ke mutabik chalna hain . Bas . ## SAFIRINI: : Chal phir se koshish kar ## SAFIRINI: : Himmat rakh Mansoor . Issi din ki tayyari itni shiddat se ki hain tune . himmat . ## \nHypothesis: SAFIRINI phir se koshish karega", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "0ee6c9f5-4bf6-463d-8088-a1c572d59a26", "original_id": null, "input": "Premise: MOM : Chalo chalo ... sab apna mood theek kar lo ... ## MOM : Kaisi hai ? ## RANI : Theek hoon ... pahunch gayee araam se ## MOM : Achcha .. Mausam kaisa hai ? ## RANI : thodi thand hai ## MOM : Achha ? ## DAD : Problem to nahin huyi koyi ? ## RANI : Nahin ... easy tha sab ## GRANDDAD : Kidhar hai meri jhalli ? ## RANI : Dadaji ! Aap kaise ho ? ## GRANDDAD : Puttar mera sher ... tu angrezon se darna mat . Tu koyi queen victoria se kum hai ? ## DAD : Oho . Minky aa gaya hai ## MOM : Beta vo mahinder jeeja ji ke yahaan aaj maata ki chowki hai , minky mama ke saath ja rahey hain ... tere liye pooja karne ## \nHypothesis: RANI theek hai aur aaram se pahuch gayi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "d26d1751-e702-4de3-be74-18ab96658a53", "original_id": null, "input": "Premise: BABBAN : Ho gaya intezam ? ## JAAN MOHAMMAD : Haan .. Kahan lana hai paisa ? ## BABBAN : Railway station platform number ek ki book stall pe aa ja .. 12 baje . ## JAAN MOHAMMAD : Theek hai . ## BABBAN : Aur sun . Abhi main Laal pull ke paas se bol riya hoon . Logon ko bhej ke time barbaad na kariyo apna . Aur time se pahunchiyo .. ## \nHypothesis: JAAN MOHAMMAD pooch raha hai paisa kahan laana hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "562540b5-0fde-43c7-bafa-badc479133b1", "original_id": null, "input": "Premise: INZAMAM: : How can you not send me pilots , this is your plane , usme baithe passengers aapki zimmedaari hain , ## PAN-AM OFFICIAL: : It is your Airport . This is your responsibility . We cannot risk our crew for this . ## INZAMAM: : And the air hostesses ? They are your crew ## PAN-AM OFFICIAL: : Sir , the plane is in your airport , the breach has been of your security . We cannot risk two more lives . ## MAN: : Janaab , aapke ghar se phone aaya tha , bhabi ne khaane khaate hi phone karne ko kahaa hain . ## \nHypothesis: INZAMAM keh raha hai ki passengers hamari apani zimmedaari hain. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "d2556057-ecc7-4f40-bd1f-bdd7ff6e8bbd", "original_id": null, "input": "Premise: RAHUL : Din mein do baar , bas aise , ungli yahaan aur ye sui aapka sugar level check kar legi ... ## GRAND DAD : Ouch !! Ye kya gobar gift hai ? Kuch dhang ka lata ... ## RAHUL : Achcha toh kya chahiye aapko ? (grand dad does smoking weed action) Dadu kya aap bhi !? ## GRAND DAD : Arjun , tu kya laya hai mere liye ? ## GRAND DAD : Gems .. C'mon . ## RAHUL : --Arjun !! ## ARJUN : Blood mein sugar badhega nahin , toh tera gift kaise use karienge . ## \nHypothesis: GRAND DAD ko gift pasand nahi aaya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "5d8eb275-3e6c-4c62-90f7-cc9e544a79cd", "original_id": null, "input": "Premise: SHAHID : Kuuch der ruk nahin sakti thi ? ## MARIAM : Main apne bete ke maamle mein compromise nahin karoongi . ## SHAHID : Main yeh baat araam se karta . Abhi bolne ki kya zaroorat thi . ## MARIAM : Sorry , tumhari ammi itni chidchidi hain . Pahle burqa , ab ... ## SHAHID : bas ! ## \nHypothesis: MARIAM apne bete ke maamle mein compromise nahi karegi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "e2b7eb3a-78d9-47dc-af89-3acef2f1edc4", "original_id": null, "input": "Premise: DOCTOR : Abhi aadha din hi hua hai aur 60 hazaar aa chuka hai ... ## SIKANDAR : Aur ee Shambhu chacha apni paari bech diya gadhau ! Kaahe chacha ? Murgi ekey baar mein kaat diye ? ## LALA : Tum bhi bech do ... 5 lakh mil jaayega ! ## SIKANDAR : Kaahe sabka paari lootne mein lage ho Lala ? Ghaat pe hotel-ootel banaaoge ? ## SHAMBHU : Murda log ka hotel ... hahahaha ... ## \nHypothesis: Aadhe hi din mein 60 hazaar aa chuka hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "d004b278-735e-4bf3-8b75-ba2de9b2869f", "original_id": null, "input": "Premise: RANI'S MOM : ye india se baahar jaa ke sab angrez bann jaatey hain ## RANI'S MOM : Rani ?? ## RANI'S MOM : Tu theek hai ? suitcase kidhar hai ? Tu kitni patli ho gayi hai ... foreign se kaali ho ke aa gayi hai ? Chhatri nahin use ki ? yeh kya boy cut sa kara liya hai ## RANI'S DAD : To kya hua ... Foreign return ho gayee hai ## \nHypothesis: RANI'S DAD ne boy cut kara liya hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "dd6a53a5-e699-4698-b950-0a346a3ad6b8", "original_id": null, "input": "Premise: ALI : Ek over khelunga .. bas ## ALI : Par agar chakke thok diya , to saari gotiyaan meri . ## ISHAAN : Kitne chakke thokega ? ## ALI : Cheh .. ## \nHypothesis: ALI ek over mein Cheh chakke thokna chahta hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "अनुलाग" }, { "id": "3e77d481-05a2-4ecf-953b-0942fd0afed5", "original_id": null, "input": "Premise: AMMAJI : Thaari lugaayi . Usne bhi le ke aa . ## AMMAJI : Mhaare private matter ka tamasha bana diya tune . ## MEERA : In ko bolo gaadi ki chaabi de . ## BHUMIA : Chaabi . Chaabi de . ## MEERA : Inko bolo kamre mein jaaye . ## AMMAJI : Chhore na chhod de . ## MEERA : Andar jaao saare . ## MEERA : Tum nahi . ## MEERA : Darwaza band karo . ## MEERA : Darwaze se door jaao . ## \nHypothesis: MEERA chhore ko chhoddne ko keh raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के अनुसार दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "b2ad1059-2115-489c-b9ed-96163e586861", "original_id": null, "input": "Premise: KHALIL: : Yeh kaise bhaage , tumne signal diya ## KHALIL: : Ek ek ko maar doonga . ## NEERJA: : Dekho , aise karne se kuch solve nahi hoga ## KHALIL: : Chup !! ## KHALIL: : [to the passengers] Utho sab , utho ! Chalo neeche ## \nHypothesis: KHALIL passengers ko maarne ke liye neeche le jaa raha hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के आधार पर दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "468ee1ad-448b-410f-990b-6029cf79713c", "original_id": null, "input": "Premise: SHAHID : Ab aap yahan nahin aaoge . ## ARIF : Yeh kya ... ## SHAHID : Bahut kiya bhai ... Aur nahin .. Main kamzor .. Consider me dead .... ## ARIF : Par kaise ?.... ## SHAHID : Meri nafrat yahan layi thi mujhe ... Aapka pyaar kaafi nahin mujhe yahan se nikalne ke liye .. Ab aapki apni family bhi hai ... Sab aapko dekhna hai ... ## SHAHID : Bhai ... Bhai .. Main nahin chahta aap yahan aayein . Aap aaye to bhi nahin aaonga bahar ... The brothers are quiet . Shahid looks away as Arif looks at him . ## \nHypothesis: Ab ARIF ka pyar SHAHID ko yahan se nikaalne ke liye kaafi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "672f9db7-32c6-4be8-9466-e789da3700aa", "original_id": null, "input": "Premise: VEDANT : Kin dono ne ? ## SHAMBHU : Kanhaiya aur Rajpal .. ## VEDANT : Tum apni marzi se approver ban-ne ke liye taiyaar ho ? ## SHAMBHU : Jee saab . ## JK : Do you think I'm a fool ? ## JK : You torture and beat up somebody and then force him to become an approver ? ## ASHWIN : Sir .. Wo Magistrate ko bayan dene ke liye tayyar hai . Kal chargesheet aur parsoon case khatam . ## JK : Look , mujhe nahi pata hai ki Ramashankar kis tareeqe se kaam karta tha yahan .. But this is not the way this agency will function under my command . ## ASHWIN : Sir .. Wo apni marzee se approver ban raha hai . ## \nHypothesis: SHAMBHU apni marzi se approver ban-ne ke liye taiyaar hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "09c14864-d04a-4cd1-9128-b506d15c65b3", "original_id": null, "input": "Premise: GOVT. SECRETARY : Ashwin ... kaise ho ? ## ASHWIN : Good Sir ... ## GOVT. SECRETARY : Achha suno , jis meeting ke baare mein maine tumse baat kee thee na ... ## ASHWIN : Ji .. ## GOVT. SECRETARY : Woh kal 11 baje ke liye fix ho gayee hai ... Tumhare bahut saare chahne wale ## ASHWIN : I'll be there Sir ... ## GOVT. SECREATRY : See you . Bye . ## \nHypothesis: Meeting 12 baje rakhi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दो वाक्यों के बीच संबंध का पता लगाएं और उन्हें 'अनुलाग' या 'असंगत' के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "41d7de62-09f4-4b1c-bc80-b5fed7ab0728", "original_id": null, "input": "Premise: MUNIYA : Hai Allah ! Kya hua aapko ? Safed pad gayeen hain aap . ## BEGUM PARA : Humein darr lag raha hai Muniya . Hum jo kar rahein hai woh sahi toh hai ? ## MUNIYA : Darr to lagega hee , lazim hai . Subah ki dawai lee aapne ? ## MUNIYA : Main hoon na aapke saath . Marte dum tak , ghabrayein na . Iss ke siwa ab aur koi chara baaki nahi rah gaya hai aapke liye . Sab allah ke uppar chhod dein . Jo hoga theek hee hoga . ## MUNIYA : Chaliye . Poora Mahmudabad aapka faisla sunne ke liye betaab hai . ## \nHypothesis: Poora Mahmudabad BEGUM PARA ka faisla sunne ke liye betaab hai ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ संबंध में अनुलाग या असंगत के रूप में चिन्हित करें।", "output": "अनुलाग" }, { "id": "a05ac562-45eb-4195-a90f-b882f48ef58b", "original_id": null, "input": "Premise: ASLAM : Sir kuch zyada hi bharosa nahi jeet gaya main ? Vicky Thakur ki supari di hai Pappu ne ... Uske baad mujhe nikalney ka arrangement kareingey ... ## ASHWINI : Uda do ... Maal kha gaya hoga shayad unka ... Good riddance ... ## ASLAM : Vardi mein naa hon toh saale officer bhi gangster hi lagte hain ... ## ASLAM : Baat baat pe udaa do ... Thok do ... Lekin kyon nahi kahe ... Jab kaam tamaam hota hai toh unki kahan thunkti hai ? Woh toh hum chutiye marte hain ... ## \nHypothesis: ASLAM ko Vardi mein Officer log gangster lagtey hain", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों का विश्लेषण करें और उनके बीच तार्किक संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "1485d556-0948-4d37-a992-7a553b6f8fe9", "original_id": null, "input": "Premise: PAUL : Hatyara agar 12 . 30 baje apne ghar se nikla to hatya ki jagah pe kitne baje pauncha ? ## KUKKU : Kitne baje ? ## PAUL : Abbey ghonchu 30 jama 20 ? ## KUKKU : 50 , 12 . 50 ## PAUL : Shabbash .. Aur hatya agar 12 se 1 baje ke beech huee to ussey hatya karne ke liye kitna samay mila ? ## KUKKU : 10 minute . ## PAUL : Shabbash .. ## KUKKU : Yayaya . Hum jeet gaye . ## JUNIOR OFFICER : Sir Kisi bhee Watchman ne Rajpal ko ghar se nikalte nahi dekha uss raat . ## \nHypothesis: Hatyara hatya ki jagah pe 50 baje pauncha.", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "d769ac13-6b39-41c6-a68d-986839d0cecd", "original_id": null, "input": "Premise: TV ANNOUNCER : The news has just come in from the dressing room .. It is confirmed . Ganguly has decided to declare the innings at 658 . They've set Australia a target of 384 to win . Its a challenging declaration .. the match has come back to life !! ## ISHAAN : Aur kahin humne unke dus wicket thok diye , toh ? ## ISHAAN : Cricket mein kuch bhi ho sakta hai kaka .. Apne boys ka morale abhi high hai .. kuch bhi ho sakta hai .. kyun Govind .. ho sakta hai na ? ## GOVIND : Mushkil hai .. pichle sau saalon mein sirf do hi baar hua hai .. max to max draw hai . ## ISHAAN : Tu bas statistics mein ghusa rah .. game to on hai boss !! ## \nHypothesis: Ganguly has set Australia a target of 384 to win .", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए दो वाक्यों को पढ़ें और निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या 'असंगत' है।", "output": "अनुलाग" }, { "id": "9b27397a-8662-463f-8e66-a2d7141c97cb", "original_id": null, "input": "Premise: RIANA : Change wapas lene aaye ho ? ## RAHUL : Nahin .. I'm just ... going up . ## RIANA : Tum bhi (does the lose screw action) ## RAHUL : Sorry ? ## RIANA : Psychologist ke paas ja rahe ho ? ## RAHUL : Nahin . ## RIANA : Kaun sa floor ? ## RAHUL : Thirteenth . ## RIANA : Are you sure , is building mein 13th floor nahin hai ? ## \nHypothesis: RAHUL ne RIANA se maafi maangi. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य की स्थिति: अनुलाग या असंगत।", "output": "असंगत" }, { "id": "0b6dde0f-ac2b-4bd4-9273-6e4e39f87872", "original_id": null, "input": "Premise: DR. SWAMY : You know the law Ashwin .. Investigative officers narco test mein maujud nahin reh sakte .. ## ASHWIN : Swamy Saab .. Main pahadi ki nok pe khada hoon .. Ek kood mili .. Aur khai paar .. Please .. ## DR. SWAMY : Ashwin bachhe ki tarah zid mat karo .. I can't help in this , please .. ## ASHWIN : Achha phone do apna . ## DR. SWAMY : Kisey phone laga rahe ho ? ## ASHWIN : Khud ko ? (He gives her the phone back ## Lo baat karo . : ASHWIN ## Hello Dr . Swamy ? Kaisi hain ? : DR. SWAMY ## Ashwin kya hai ye ? : ASHWIN ## Live telecast . Ye to law mein mana nahi hai na ? Aur test ke dauraan koi sawaal soojha to main Dr Mohanty ko text karoonga . Jaaiye ander . Der ho rahee hai . : ## \nHypothesis: DR. SWAMY Pahadi ki nok pe khada hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "a146c86a-a413-4709-b958-aaca5b9c469c", "original_id": null, "input": "Premise: OMAR : Wait ... Why am I running ... Do I even beli ... (Bullet passes his head) Fuckin hell ... Another bullet brushes his shoulder ... ## OMAR : Think . ## OMAR : I am one of the hostages . I am from England ... My name is Rajeev Verma . ## COP : Arrey yeh kidnapper na hai ... ## COP : Phir bhaga kyon bahanchod ... ## COP : Abey maar mat ... goli lag rakhi hai isse ... mar maraa gaya toh ... ## COP : Jeep mein daal ... Agar dogla hua .. ## \nHypothesis: OMAR kidnapper hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य का पहले वाक्य से संबंध निर्धारित करें और अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "5499199c-c2b0-44c0-93b0-f3b52e032569", "original_id": null, "input": "Premise: MISRA : Good afternoon ... Vicky Thakur murder mein mere paas ek ajeeb tip aayi ... ## MISRA : Vicky ka killer kisi official vehicle mein bhaaga tha ... Aajkal Pakisatn mein hai ... Kahin aapke dream project ka hissa toh nahi hai ? ## ASHWINI : Kaunsa dream project ... Jo tumney bandh karva diya ... ## MISRA : Aapne bandh kahan kiya hoga ... Thoda toh main bhi jaanta hoon aapko ... ## ASHWINI : Thoda jaantey ho ... Poora nahi ... ## \nHypothesis: ASHWINI ne apna dream project bandh karwa diya", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रदान किए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "92e2e018-0962-45bb-9575-73c71bc98b02", "original_id": null, "input": "Premise: AMMAJI : Chhorey tanne manaa karya tha na jaane se ? ## KAMLESH : Koi milne aaya hai . ## AMMAJI : Kaun ? ## AMMAJI : Kaun sa ? ## KAMLESH : Boli thaare se kaam tha . ## MEERA : Sarpanch ji ? ## KAMLESH : Arey yehi to hai Sarpanch ji . ## MEERA : Mera husband ... please woh ... Please ... ## AMMAJI : Beti ? Ke hoya ? ## AMMAJI : Bhumia ! ## AMMAJI : Bhumia ! ## BHUMIA : MIL GAYI , AMMAJI. ## \nHypothesis: MEERA sarpanch hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" }, { "id": "88c812ad-68ba-461d-a8b9-540352c93c61", "original_id": null, "input": "Premise: GOVIND : repeating the same thing) Saare paise doob gaye .. doob gaye yaar .. ## ISHAAN : Sambhaal apne aap ko Govi .. ## OMI : Sab theek ho jayega .. ghabra mat yaar . ## GOVIND : Kya theek ho jayega .. kaise theek ho jayega .. Aakhen khol ke dekh wahan .. sab dher ho gaya .. Ab lo behnchow apni Khidki wali dukaan .. ## ISHAAN : Omi tu bike start kar .. ## ISHAAN : Chal Govi .. ghar chal . ## \nHypothesis: ISHAAN bike start kar raha hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "निम्नलिखित वाक्य युग्मों को पढ़ें और निर्णय लें कि क्या दूसरा वाक्य पहले का 'अनुलाग' करता है या उससे 'असंगत' है।", "output": "असंगत" }, { "id": "9b94aea0-8af9-4057-b26e-853612228ac3", "original_id": null, "input": "Premise: AMMAJI : Phone kyun na laag rya tha thaara ? ## SATBIR : Wo ... paani ma bheej gya . ## AMMAJI : Aur jey yaa nikal jaati tey ke karta ? ## SATBIR : Sab control ma sa Amma . ## AMMAJI : Gaye cheh . Paachhe aaye chaar . Yo control sa thaara ? ## AMMAJI : Rrr chup karaao isne koi . ## \nHypothesis: AMMAJI SATBIR ko appreciate kar rahi hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में पहचानें।", "output": "असंगत" }, { "id": "e8160e3c-f0fc-4d4f-881a-365c8dbb3dc3", "original_id": null, "input": "Premise: PATHAK : Kahaan they ? ## JHONTA : Masti . ## PATHAK : Kaam ke time masti ? Bahut gooda aa gaya ! ## JHONTA : Apne paise se gaye they ... aapki kaahe sulag rahi hai ? ## PATHAK : Kal se gota maarne ke time yahaan rahoge . Aur tumhara paisa hum rakhenge ! ## JHONTA : Kaahe ? ## PATHAK : Kaahe ki tum shahanshah na bann jaao ... aur sab uda na do . Jab bade ho jaaoge , tab le lena . Hisaab se rakhenge ! ## JHONTA : Hum didi se bol denge ... ## PATHAK : Bolo jo bolna hai . ## \nHypothesis: JHONTA ki sulag rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "असंगत" }, { "id": "6a03dbbd-31d2-4f56-b3ed-d5c0e0c13535", "original_id": null, "input": "Premise: SUPPLIER PANDITJI : Govind Bhai , who Ish bhaiya nahi mile kuch din se .. ## ISHAAN : Ish Bhaiya ko apne aap se mile hue bahut din ho gaye .. ## SUKETU : Mujhe match dekhna hai .. Phleeeze !! ## MRS MEHTA : Namaste .. Main Mrs . Mehta . Yeh mera beta Suketu hai .. ' cricket cricket' karke hairaan kar diya hai .. Main actually aarti ke liye late ho rahi hoon .. kya woh yahan thodi der match dekh sakta hai ? ## \nHypothesis: SUPPLIER PANDITJI se Govind Bhai aur Ish bhaiya kuch din se nahi mile. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दूसरे वाक्य को पहले वाक्य के साथ तुलना करके अनुलाग या असंगत का लेबल दें।", "output": "असंगत" }, { "id": "fa2e885f-3975-4616-bbfd-54d4f975bc39", "original_id": null, "input": "Premise: BENOY : Muchchad vahaan pe kya kar raha tha ? ## ROHAN : Picture dekh raha tha aur kya ? ## BENOY : Usne humko pehchaana hoga ... ## VIKRAM : Pata nahin ... ## BENOY : Usne complain kiya toh ? ## MUNINDER : Kuch nahin hoga ... jaldi chalo ... uske pehle hostel pahuch gaye to vo kuch nahin kar sakta . ## VIKRAM : Uske saath kaun thi ? ## ROHAN : Ma'am ... ## VIKRAM : Ma'am ... kabhi dekha hai ma'am ko ? ## ROHAN : Is she hot ? ## BENOY : Paagal hai ? Muchhad se bhi badi moochh hai uski ... ## MUNINDER : Tum log bakbak karne ke bajaai bhaagoge ? ## \nHypothesis: Muchchad ke saath Ma'am thi", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "प्रस्तुत वाक्य युग्मों का मूल्यांकन करें और उनके बीच संबंध को 'अनुलाग' या 'असंगत' के रूप में चिह्नित करें।", "output": "अनुलाग" }, { "id": "4b97bf50-524e-4c88-b2cb-58fd8a181a18", "original_id": null, "input": "Premise: DAD : dekh liya bhai chand ... ab to kha saktey hain ## MOM : Aaya nahi abhi tak computer pe ? ## RANI : Nahi ## MOM : Toh kha le phir ... farak nahi padta ... shaadi ke pehley toh pratice ke liye hi hota hai ... ## RANI : nahin ... pata hai kya hai ... voh ... london ke timing bilkul alag hotey hain na ... yahan raat to wahan din ... sab kuch bilkul different hota hai ... ulta pulta ... ritu bata rahi thi ... ## DAD : Thodi si mithayi hi kha lo ## \nHypothesis: RANI ne kaha ki use nahin pata hai ki voh kya hai. ", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "पहले वाक्य के संदर्भ में दूसरे वाक्य को अनुलाग या असंगत के रूप में वर्गीकृत करें।", "output": "असंगत" }, { "id": "d18c9185-e280-411f-9187-fc5bbcfeafd0", "original_id": null, "input": "Premise: RIANA : There's still 3 more minutes , do I get some discount ? ## RECEPTIONIST : Have some mint , they're free ? ## RAHUL : Psycho ho ? ## RIANA : Naam kya hai tumhara ? ## RAHUL : Rahul-- ## RIANA : Driving license dikhao . ## RAHUL : Kya ? ## RIANA : Kab se peecha kar rahe ho ## RAHUL : --Kya ## RIANA : Sam kiddhar hai ? ## RAHUL : Kaun ? ## RIANA : --That's cute . ## RAHUL : Pagal to nahin ho , baat baat par mar rahi ho ? ## RIANA : Abhi file se mar rahi hoon lekin phir jasoosi karne ki koshis ki toh jootae se maroongi ## RAHUL : Dekho tum .. Ahh .. Woh .. ye . ## RIANA : Ahh .. woh .. ahh .. Pehle bolna seekho ## RIANA : Aur Sam ko bolna galti se bhi mere saamne nahin aaye warna main usse aur tumhien dono ko bahut maroongi ## RECEPTIONIST : She definitely needs more sessions ! Merry x-mas ! ## \nHypothesis: RIANA RAHUL ko jootey se maar rahi hai", "dataset": "Natural Language Inference", "task": "Natural Language Inference", "lang": "hi", "instruction": "दिए गए वाक्य जोड़े के लिए, निर्धारित करें कि क्या दूसरा वाक्य पहले से 'अनुलाग' है या 'असंगत' है।", "output": "असंगत" } ]