mlabonne/llm-datasets

Curated list of datasets and tools for post-training.

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This project provides a curated list of high-quality datasets for improving large language models (LLMs) after their initial training. If you're building or fine-tuning an LLM, you can use these collections of text, code, and math problems as input. The result is an LLM that is more accurate, diverse in its responses, and capable of complex reasoning. This is for anyone involved in developing or specializing LLMs, such as an AI engineer or researcher.

4,319 stars.

Use this if you need to find specific, high-quality datasets to fine-tune your large language model for better performance in general tasks, mathematical reasoning, or code generation.

Not ideal if you are looking for raw, unstructured data for initial LLM pre-training, or if you need to create entirely new datasets from scratch without any existing examples.

LLM fine-tuning AI model development natural language processing machine learning engineering
No License No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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4,319

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354

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Last pushed

Mar 09, 2026

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curl "https://pt-edge.onrender.com/api/v1/quality/transformers/mlabonne/llm-datasets"

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