Docsifer
π
13
Convert documents into clean, LLM-ready Markdown.
Hieu Lam
lamhieu
AI & ML interests
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using to build tf great ;)
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go ahead and create something interesting ;)
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π Introducing the xLLMs Dataset Collection
The xLLMs project is a growing suite of multilingual and multimodal dialogue datasets designed to train and evaluate advanced conversational LLMs. Each dataset focuses on a specific capability β from long-context reasoning and factual grounding to STEM explanations, math Q&A, and polite multilingual interaction.
π Explore the full collection on Hugging Face:
π lamhieu/xllms-66cdfe34307bb2edc8c6df7d
π¬ Highlight: xLLMs β Dialogue Pubs
A large-scale multilingual dataset built from document-guided synthetic dialogues (Wikipedia, WikiHow, and technical sources). Itβs ideal for training models on long-context reasoning, multi-turn coherence, and tool-augmented dialogue across 9 languages.
π lamhieu/xllms_dialogue_pubs
π§ Designed for:
- Long-context and reasoning models
- Multilingual assistants
- Tool-calling and structured response learning
All datasets are open for research and development use β free, transparent, and carefully curated to improve dialogue model quality.
The xLLMs project is a growing suite of multilingual and multimodal dialogue datasets designed to train and evaluate advanced conversational LLMs. Each dataset focuses on a specific capability β from long-context reasoning and factual grounding to STEM explanations, math Q&A, and polite multilingual interaction.
π Explore the full collection on Hugging Face:
π lamhieu/xllms-66cdfe34307bb2edc8c6df7d
π¬ Highlight: xLLMs β Dialogue Pubs
A large-scale multilingual dataset built from document-guided synthetic dialogues (Wikipedia, WikiHow, and technical sources). Itβs ideal for training models on long-context reasoning, multi-turn coherence, and tool-augmented dialogue across 9 languages.
π lamhieu/xllms_dialogue_pubs
π§ Designed for:
- Long-context and reasoning models
- Multilingual assistants
- Tool-calling and structured response learning
All datasets are open for research and development use β free, transparent, and carefully curated to improve dialogue model quality.
- 4 replies
updated 2
datasets 7 months ago
published 5
datasets 7 months ago
lamhieu/xllms_dialogue_pubs
Viewer β’ Updated β’ 999k β’ 48 β’ 4
lamhieu/xllms_dialogue_greetings
Viewer β’ Updated β’ 41.3k β’ 36 β’ 2
lamhieu/xllms_dialogue_wildchat
Viewer β’ Updated β’ 206k β’ 18 β’ 1
lamhieu/xllms_dialogue_stem
Viewer β’ Updated β’ 110k β’ 14
lamhieu/xllms_dialogue_mathqa
Viewer β’ Updated β’ 395k β’ 8
upvoted a collection 7 months ago
upvoted an article 7 months ago
Article
Swift Transformers Reaches 1.0 β and Looks to the Future
- +2
pcuenq, FL33TW00D-HF, mattt, reach-vb
β’ β’ 43 upvoted an article 8 months ago
Article
`LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot`
- +9
fracapuano, aractingi, lhoestq, CarolinePascal, pepijn223, jadechoghari, cadene, aliberts, AdilZtn, nepyope, imstevenpmwork
β’ β’ 55