Datasets:

Trelis
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eka-hard

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06500a78dc55d916d262150648ac09b5	ef789dd5.mp3	1d27d18180c0766ed69486689d5bcb3f	4.74	Episert 2% weight by weight	en	en	c511dd9113aff0e1482ed495ab068bd8	anushree.rana@ekasupport.com	drugs	narration_entity	[["Episert 2% weight by weight", "drugs", [[0, 27]]]]	[{"text": "Episert", "category": "drug", "char_start": 0, "char_end": 7}]	33	0.428571
d7e6da32ef0f457d86ae3ab0053f7e72	bae83d95.mp3	e4996057ff4209048b9580e37cc26026	4.68	Ebamont 10milligram by 10milligram Tablet	en	en	cd06737a947f1402485e06feef2ec3b1	anushree.rana@ekasupport.com	drugs	narration_entity	[["Ebamont 10milligram by 10milligram Tablet", "drugs", [[0, 41]]]]	[{"text": "Ebamont", "category": "drug", "char_start": 0, "char_end": 7}]	34	0.428571
177681aa1fe209ad1fe7b3dfd654a4e7	a463fd53.mp3	95e447d53bb1d8e601fed9ba1d47a7bd	3.24025	Urispas 200mg Tablet	en	en	770662ca14287675d97fba88e63e444c	neha.ramesh@ekasupport.com	drugs	narration_entity	[["Urispas 200mg Tablet", "drugs", [[0, 20]]]]	[{"text": "Urispas", "category": "drug", "char_start": 0, "char_end": 7}]	35	0.428571
c0bb3c49a757b3775a655cd33078b3d9	64402918.mp3	ffb5d81054b01c7235e1ebc08f1c6a18	4.68	surgical openion for anal fissure	en	en	2f863825e7ab7a72b3767d8b04469b2e	arunkumar@eka.care	clinical_findings	narration_entity	[["surgical openion for anal fissure", "clinical_findings", [[0, 33]]]]	[{"text": "anal fissure", "category": "condition", "char_start": 21, "char_end": 33}]	36	0.416667
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0ac80678e20be846a377f3f32cb0f58c	/250214/0D0672EA-21FE-48BE-A8ED-C8BAEAA0D626/4.m4a	965aff591fe1d532cef316e956128305	25	like it's spreading. Oh, okay. That doesn't sound good. Okay, let me let me look at it. And cough jo aapne bola, yeh like aapko kab se hai? Like cough kab se ho raha hai? Yeh I think almost , paanch din almost ho gaye hain. Paanch din se ho raha hai? Yeah yeah. And is it something like do you have this cough when you a...	en	en	0D0672EA-21FE-48BE-A8ED-C8BAEAA0D626	null	misc_medical	conversation	[["cough", "clinical_findings", [[92, 97], [145, 150], [304, 309]]], ["cough", "clinical_findings", [[92, 97], [145, 150], [304, 309]]], ["cough", "clinical_findings", [[92, 97], [145, 150], [304, 309]]], ["cough", "clinical_findings", [[92, 97], [145, 150], [304, 309]]]]	[{"text": "cough", "category": "condition", "char_start": 92, "char_end": 97}, {"text": "cough", "category": "condition", "char_start": 92, "char_end": 97}, {"text": "cough", "category": "condition", "char_start": 92, "char_end": 97}]	38	0.4
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e249a8619a059ce5833f8d1e51e1b8da	bbafd99b.mp3	248c1bfe851b11e81a3c5cebf6ea76cf	4.68	Ondero Met 850Mg by 2.5Mg Tablet	en	en	6c0cbfb1f8cf3433849adfb96a545074	neha.ramesh@ekasupport.com	drugs	narration_entity	[["Ondero Met 850Mg by 2.5Mg Tablet", "drugs", [[0, 32]]]]	[{"text": "Ondero Met", "category": "drug", "char_start": 0, "char_end": 10}]	41	0.4
947117dc061f70dc0853144c0cb12d89	720aed4e.mp3	8618e1986cdace02747942510c7d8218	3	Deplatt Cv 20 Capsule	en	en	0e30c632aefd955846778d2db29bf677	neha.ramesh@ekasupport.com	drugs	narration_entity	[["Deplatt Cv 20 Capsule", "drugs", [[0, 21]]]]	[{"text": "Deplatt Cv", "category": "drug", "char_start": 0, "char_end": 10}]	42	0.4
a1bd602a465b07d080034f779adac72d	efc2a7de.mp3	718a399788f0d772bc93bc6d1c35a773	4.2	Steam inhalation with XL vapocap	en	en	89d6b84bc94f5d884fafc87bdfd29e6e	neha.ramesh@ekasupport.com	advices	narration_entity	[["Steam inhalation with XL vapocap", "advices", [[0, 32]]]]	[{"text": "Steam inhalation", "category": "procedure", "char_start": 0, "char_end": 16}, {"text": "XL vapocap", "category": "drug", "char_start": 22, "char_end": 32}]	43	0.4
22232ecda7a969b612b5016009243e75	5228e140.mp3	f734057f3f24f4921c6087b475e8df6f	7.56	Ibugesic Plus Oral Orange 100mg by 162.5mg Suspension	en	en	f2a83d0f225071a37cb899d2623cacab	sanjana.sn@eka.care	drugs	narration_entity	[["Ibugesic Plus Oral Orange 100mg by 162.5mg Suspension", "drugs", [[0, 53]]]]	[{"text": "Ibugesic Plus", "category": "drug", "char_start": 0, "char_end": 13}]	44	0.384615
77b82da1cf47a71e4d90522c3df79201	9456dc3c.mp3	67c67f1e9fe1686ebaa1099ac1c59c1b	3.36	varicose vein finding	en	en	24237180429406ecbd1d60dc5bc16a54	susmita.sarkar@eka.care	clinical_findings	narration_entity	[["varicose vein finding", "clinical_findings", [[0, 21]]]]	[{"text": "varicose vein", "category": "condition", "char_start": 0, "char_end": 13}]	45	0.384615
edbd5809656d14aeee9422e905009b78	97b38b7c.mp3	5ef5d3f683b37a062691569b8fcd6eb2	6.06	Acenac P 100mg by 325mg Tablet	en	en	0c3ca34e3d86f3e91b844d1923fc59f9	rajshree.badami@eka.care	drugs	narration_entity	[["Acenac P 100mg by 325mg Tablet", "drugs", [[0, 30]]]]	[{"text": "Acenac P", "category": "drug", "char_start": 0, "char_end": 8}]	46	0.375
2fd1c80350fcca50461964ce4fa5abba	2f344212.mp3	4be45021313f9b23fd2b4e5f6e067917	4.62	Esokem D 30mg by 40mg	en	en	656a90f3cb8389a11159ccb90d9d76ad	rajshree.badami@eka.care	drugs	narration_entity	[["Esokem D 30mg by 40mg", "drugs", [[0, 21]]]]	[{"text": "Esokem D", "category": "drug", "char_start": 0, "char_end": 8}]	47	0.375
bfbc464a1b0a15e07eb80d85323e8c23	c6288569.mp3	fba6978e9784d516c72afc6f7f6dc78c	4.44	Ecothral 500Mg Tablet	en	en	6f2855cab5de9c1b3c0a4ad878c1b6a7	anushree.rana@ekasupport.com	drugs	narration_entity	[["Ecothral 500Mg Tablet", "drugs", [[0, 21]]]]	[{"text": "Ecothral", "category": "drug", "char_start": 0, "char_end": 8}]	48	0.375
1aa07e3550562aa02b8cb8e5a980367e	952d3b2d.mp3	651b7586555af2cf3fc8c295861060bf	4.26	Rybelsus 70mg Tablet	en	en	69a5acd4b5d0c9e8833bde552df69fac	neha.ramesh@ekasupport.com	clinical_findings	narration_entity	[["Rybelsus 70mg Tablet", "clinical_findings", [[0, 20]]]]	[{"text": "Rybelsus", "category": "drug", "char_start": 0, "char_end": 8}]	49	0.375
e0b209e4df69125915728440773aac0c	19fa118c.mp3	724bf7c7bd5cbf601c39f3989b73b680	3.48	Ciprotab 250Mg Tablet	en	en	b2adeb1e579854a7791266e52514f194	neha.ramesh@ekasupport.com	drugs	narration_entity	[["Ciprotab 250Mg Tablet", "drugs", [[0, 21]]]]	[{"text": "Ciprotab", "category": "drug", "char_start": 0, "char_end": 8}]	50	0.375

EKA Hard — Medical ASR Benchmark

Entity-aware medical ASR benchmark — 50 hard rows from Indian-accented clinical speech.

Prepared by Trelis Research. Watch more on Youtube or inquire about our custom voice AI (ASR/TTS) services here.

Source

Derived from ekacare/eka-medical-asr-evaluation-dataset (3,619 EN rows, MIT license). Real clinical speech from 57 speakers across 4 Indian medical colleges, 16kHz mono.

Preparation

Filter: audio ≥ 2s, text ≥ 20 chars
Gemini Flash entity tagging (6 medical categories)
Keep rows with ≥ 1 entity
3-model difficulty filter (whisper-large-v3, canary-1b-v2, Voxtral-Mini) with whisper-english normalization
Top-50 by median entity CER

Entity categories

drug — drug or medication names (brand or INN)
condition — diagnoses, diseases, syndromes, disorders
procedure — surgical, diagnostic, or therapeutic procedures
anatomy — anatomical structures, organs, body regions
biomarker — lab tests, biomarkers, genes, proteins, molecular markers
organisation — hospitals, regulatory bodies, pharmaceutical companies

Columns

audio — 16kHz WAV
text — ground truth transcript (human-annotated)
entities — JSON array of tagged medical entities with text, category, char_start, char_end
difficulty_rank — 1 = hardest
median_entity_cer — median entity CER across 3 difficulty-filter models

Leaderboard (16 models, sorted by Entity CER)

#	Model	WER	CER	Entity CER	Results
1	gemini-2.5-pro	0.150	0.078	0.210	results
2	scribe-v2	0.273	0.154	0.279	results
3	parakeet-tdt-0.6b-v3	0.376	0.206	0.309	results
4	ursa-2-enhanced	0.341	0.237	0.314	results
5	universal-3-pro	0.434	0.337	0.353	results
6	nova-3	0.449	0.291	0.387	results
7	canary-1b-v2	0.398	0.224	0.392	results
8	whisper-large-v3-turbo	0.351	0.216	0.394	results
9	whisper-v3 (fireworks)	0.439	0.268	0.414	results
10	Voxtral-Mini-3B-2507	0.439	0.295	0.426	results
11	MultiMed-ST (whisper-small-en)	0.491	0.351	0.450	results
12	whisper-base	1.268	0.789	0.472	results
13	medasr	0.627	0.453	0.478	results
14	whisper-tiny	1.398	0.780	0.572	results
15	whisper-large-v3	1.060	0.569	0.757	results
16	whisper-small	5.201	2.782	0.946	results

Evaluated with Trelis Studio, whisper-english normalization.

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Number of rows:

Total file size:

1.95 MB

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Trelis Medical Benchmarks

Collection

Datasets for Medical ASR / Transcription • 3 items • Updated 3 days ago