lmmlzn/Awesome-LLMs-Datasets resource

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1480 stars · 147 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list summarizing representative text datasets for large language models across pre-training, instruction fine-tuning, preference, evaluation, and traditional NLP dimensions, with newer sections for multimodal and RAG datasets. It accompanies the survey paper 'Datasets for Large Language Models: A Comprehensive Survey' and is regularly updated.

Use cases

• find pre-training corpora for training an LLM
• discover instruction fine-tuning datasets
• find preference datasets for RLHF
• locate evaluation benchmarks for LLMs
• find RAG training datasets
• survey of LLM datasets for research paper

When to choose

• you need a comprehensive, categorized index of LLM text datasets
• you want links to papers and dataset details across many languages and domains
• you want a maintained list tied to a peer-reviewed survey

When to avoid

• you need the datasets themselves rather than references to them
• you need detailed per-dataset metadata, which since 2025 is only summarized with pointers to papers
• you need multimodal dataset coverage beyond the gradually updated sections

Facets

learning-resource · maturity active

documentation data-science large-language-models tutorials awesome-list llm-datasets survey curated-list research natural-language-processing datasets web-server

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