license: apache-2.0
size_categories:
- 1K<n<10K
GitHub AI Project Docs Dataset
This dataset contains project documentation and README files extracted from top open-source GitHub repositories. It is designed to support research and evaluation of large language models and frontier models—especially for in-context learning using data that lies outside their original training distribution.
Dataset Overview
- Source Repositories: Documentation files are collected from GitHub repositories that:
- Use the Apache 2.0 license
- Have at least 1,000 stars
- Were created within the last 6 months
- Content: Includes various project documentation such as
README.md, additional markdown files, and related documentation (e.g., recipes, configuration guides).
Key Features
- Quality & Relevance: Sourced from popular and actively maintained projects.
- Diverse Documentation: Provides a wide range of writing styles and content formats.
- Evaluation Ready: Ideal for testing the generalization and in-context learning abilities of modern language models.
Process Details
Repository Selection:
Repositories are filtered based on:- License: Apache 2.0
- Popularity: 1k+ stars
- Recency: Created in the last 6 months
Document Extraction:
Each repository is crawled to extract documentation files (e.g.,README.md), including additional project docs.Aggregation:
Extracted files are combined into a unified dataset, ready for analysis and model evaluation.
📚 Example Repositories
Some examples of repositories included in this dataset:
📂 huggingface/open-r1 ⭐ Stars: 19,596 📝 Description: A fully open reproduction of DeepSeek-R1 with extensive documentation. 📅 Created: 2025-01-24
📂 raga-ai-hub/RagaAI-Catalyst ⭐ Stars: 10,374 📝 Description: Python SDK for Agent AI Observability, Monitoring, and Evaluation Framework. 📅 Created: 2024-08-26
📂 huggingface/smolagents ⭐ Stars: 10,361 📝 Description: A barebones library for agents with associated project docs. 📅 Created: 2024-12-05
For a complete list, please refer to the dataset details on the Hugging Face Hub.
How to Use This Dataset
You can load the dataset directly with the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("meowterspace42/github-ai-project-docs")
Each entry in the dataset provides both the documentation content and relevant metadata (e.g., repository name, star count, creation date).
License
The documentation files in this dataset are sourced from GitHub repositories under the Apache 2.0 license. Please refer to the individual repository licenses for full details. This dataset is provided solely for research and evaluation purposes.
Citation
If you use this dataset in your research, please cite it as follows:
@misc{meowterspace42_github_ai_project_docs,
title={GitHub AI Project Docs Dataset},
author={meowterspace42},
howpublished={\url{https://huggingface.co/datasets/meowterspace42/github-ai-project-docs}},
year={2025}
}
Acknowledgements
Thank you to the maintainers of the original GitHub repositories and the Hugging Face community for making these resources available. Your work helps advance research in AI and language modeling.
Contact
For any questions or feedback, please open an issue on the Hugging Face Hub repository