datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
github-codeThe GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.open-github-major-repos🌐 AdhyanshVerma's Open GitHub Major Repos
An elite, curated collection of GitHub commit metadata from the world's most influential technology companies: Microsoft, Google, Meta, and Intel.
📖 Introduction
Welcome to AdhyanshVerma's Open GitHub Major Repos dataset. This dataset focuses exclusively on high-impact, industry-standard repositories maintained by the world's leading technology giants.
It utilizes the Lazy Pointer Pattern: instead of bloating your storage… See the full description on the dataset page: https://huggingface.co/datasets/AdhyanshVerma/open-github-major-repos.gitee-code
Gitee Code Dataset
Dataset Description
This dataset was compiled from code repositories hosted on Gitee, China's largest code hosting platform and a leading alternative to GitHub in the Chinese developer community. Gitee is widely used by Chinese developers, enterprises, and open-source projects, making this dataset particularly valuable for training code models with strong Chinese language understanding and Chinese coding conventions.
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/gitee-code.github_archive
GitHub Archive
Description
According to GitHub’s terms of service, issues and pull request descriptions—along with the their comments—inherit the license of their associated repository.
To collect this data, we used the GitHub Archive’s public BigQuery table of events to extracted all issue, pull request, and comment events since 2011 and aggregated them into threads.
The table appeared to be missing “edit” events so the text from each comment is the original from when… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/github_archive.open-github
OpenGitHub
What is it?
This dataset contains every public event on GitHub: every push, pull request, issue, star, fork, code review, release, and discussion across all public repositories. GitHub is the world's largest software development platform, home to over 200 million repositories and the daily work of tens of millions of developers, from individual open-source contributors to the engineering teams behind the most widely used software on earth.
The archive currently… See the full description on the dataset page: https://huggingface.co/datasets/open-index/open-github.github-top-code
GitHub Top Developer Source Code
A curated dataset of 1.3M+ source code files from GitHub's top ranked developers (2015-2025).
This dataset is based on the top ranked developers from this dataset: https://huggingface.co/datasets/ronantakizawa/github-top-developers
Dataset Summary
1.3M+ source code files from repositories across ~4,700 unique developers
80+ programming languages included (Python, JavaScript, TypeScript, Rust, Go, C/C++, Java, and more)
Source code only —… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-top-code.github-codereview
Code Review Dataset
A large-scale dataset of the best human-written code reviews from top GitHub repositories.
Each row captures a moment where a human code reviewer left an inline comment on a pull request, and the author subsequently modified the code in response.
The dataset also includes negative examples — code from the same PRs that passed review without comments — to help models learn when code is acceptable.
This provides a natural signal for training models to:
Generate… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-codereview.github_archive_filtered
GitHub Archive
Description
According to GitHub’s terms of service, issues and pull request descriptions—along with their comments—inherit the license of their associated repository.
To collect this data, we used the GitHub Archive’s public BigQuery table of events to extract all issue, pull request, and comment events since 2011 and aggregated them into threads.
The table appeared to be missing “edit” events so the text from each comment is the original from when it was… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/github_archive_filtered.git-commits
Themis-Git-Commits
Overview
Themis-Git-Commits is a large-scale dataset of single-file code commits mined from permissively licensed GitHub repositories via the BigQuery GitHub public dataset. The SQL query restricts to repositories under permissive open-source licenses only (MIT, Apache-2.0, BSD-2/3-Clause, ISC, CC0-1.0, EPL-1.0, MPL-2.0, Unlicense, AGPL-3.0, LGPL-2.1, Artistic-2.0). The BigQuery snapshot used contains commits up to early 2022 —… See the full description on the dataset page: https://huggingface.co/datasets/project-themis/git-commits.github-jupyter
GitHub Jupyter Dataset
Dataset Description
The dataset was extracted from Jupyter Notebooks on BigQuery.
Licenses
Each example has the license of its associated repository. There are in total 15 licenses:
[
'mit',
'apache-2.0',
'gpl-3.0',
'gpl-2.0',
'bsd-3-clause',
'agpl-3.0',
'lgpl-3.0',
'lgpl-2.1',
'bsd-2-clause',
'cc0-1.0',
'epl-1.0',
'mpl-2.0',
'unlicense',
'isc',
'artistic-2.0'
]
the_pile_github
Dataset Card for The Pile GitHub
Dataset Summary
This is the GitHub subset of EleutherAi/The Pile dataset and contains GitHub repositories. The programming languages are identified using the guesslang library. A total of 54 programming languages are included in the dataset.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The following languages are covered by the dataset:
'Assembly', 'Batchfile', 'C', 'C#', 'C++', 'CMake'… See the full description on the dataset page: https://huggingface.co/datasets/andstor/the_pile_github.code-parrot-github-code
GitHub Code Dataset
Dataset Description
The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data. The dataset was created from the public GitHub dataset on Google BiqQuery.
How to use it
The GitHub Code dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of datasets. You can load and iterate through the dataset with the following… See the full description on the dataset page: https://huggingface.co/datasets/macrocosm-os/code-parrot-github-code.git-commits-merged
Themis-Git-Commits-Merged
Overview
Themis-Git-Commits-Merged is a large-scale dataset of ~3.98M single-file code commits from permissively licensed GitHub repositories that have been cross-referenced with GHTorrent pull request data to retain only commits that are part of successfully merged, non-reverted pull requests. This provides implicit human validation of each code change — a merge decision by project maintainers confirms the intent and quality of… See the full description on the dataset page: https://huggingface.co/datasets/project-themis/git-commits-merged.GitHub-Agentic-PR-Dataset
GitHub Agentic PR Dataset
A large-scale dataset of ~2 million GitHub Pull Requests authored by AI coding agents (Claude Code, Cursor, GitHub Copilot, Devin) and human developers, complete with commits, file-level diffs, patches, bug-fix classification, review-depth metrics, and test-quality measures.
The GitHub Agentic PR Dataset is a research-grade corpus for studying how AI coding agents contribute to real-world open-source software, and how their pull requests compare to… See the full description on the dataset page: https://huggingface.co/datasets/mabujadallah/GitHub-Agentic-PR-Dataset.jat-dataset
JAT Dataset
Dataset Description
The Jack of All Trades (JAT) dataset combines a wide range of individual datasets. It includes expert demonstrations by expert RL agents, image and caption pairs, textual data and more. The JAT dataset is part of the JAT project, which aims to build a multimodal generalist agent.
Paper: https://huggingface.co/papers/2402.09844
Usage
>>> from datasets import load_dataset
>>> dataset = load_dataset("jat-project/jat-dataset"… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/jat-dataset.github-code-haskell-file
Dataset Card for "github-code-haskell-file"
Rows: 339k
Download Size: 806M
This dataset is extracted from github-code-clean.
Each row also contains attribute values for my personal analysis project.
12.6% (43k) of the rows have cyclomatic complexity and LOC valued at -1 because homplexity failed in parsing the row's uncommented_code.
the-stack-github-issues
Dataset Description
This dataset contains conversations from GitHub issues and Pull Requests. Each conversation is comprised of a series of events, such as opening an issue, creating a comment,
or closing the issue, and includes the author's username, text, action, and identifiers such as the issue ID and number.
The dataset, which is mostly in English, has a total size of 54GB and 30.9M files.
Dataset Structure
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-github-issues.github-codeThe GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.HPLT2.0_cleanedThis is a large-scale collection of web-crawled documents in 191 world languages, produced by the HPLT project.
The source of the data is mostly Internet Archive with some additions from Common Crawl.
For a detailed description of the dataset, please refer to https://hplt-project.org/datasets/v2.0
The Cleaned variant of HPLT Datasets v2.0
This is the cleaned variant of the HPLT Datasets v2.0 converted to the Parquet format semi-automatically when being uploaded here.
The original JSONL files… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/HPLT2.0_cleaned.random-python-github-repositories
random-python-github-repositories
A collection of 1650 open-source Python GitHub repositories, packaged as zipped archives alongside a metadata CSV. Intended as a seed dataset for code retrieval, context engineering, and SWE-bench-style dataset construction tasks. All repos contain 250+ .py files.
Contents
repos_meta_data.csv — metadata for each repo (owner, repo_name, stars, license, py_file_count, alpha_hash)
repos-zipped/ — one .zip per repo, named… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/random-python-github-repositories.gitcode-code
GitCode Code Dataset
Dataset Description
This dataset was compiled from code repositories hosted on GitCode, a code hosting platform in China backed by CSDN (China Software Developer Network). GitCode serves as a domestic alternative to GitHub, widely used by Chinese developers, students, and enterprises for hosting open-source projects and educational resources, making this dataset particularly valuable for training code models with Chinese language understanding and… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/gitcode-code.GitHub-CC0
Public Domain GitHub Repositories Dataset
This dataset contains metadata and source code of 9,000 public domain (cc0 or unlicense) licensed GitHub repositories that have more than 25 stars.
The dataset was created by scraping the GitHub API and downloading the repositories, so long as they are under 100mb.
The dataset can be used for various natural language processing and software engineering tasks, such as code summarization, code generation, code search, code analysis, etc.… See the full description on the dataset page: https://huggingface.co/datasets/KoalaAI/GitHub-CC0.1c_githubgithub-code-fim
Description
Fill-in-the-middle (FIM) code-completion examples mined from public GitHub repositories. Columns: text (FIM-formatted), source, repo, language.
Derived dataset. Source material retains its original per-item licence (see source/repo columns); treat as other / mixed. Provided as-is.
Usage
from datasets import load_dataset
ds = load_dataset("PotatoHD/github-code-fim")
GitTaskBench
Dataset Card for GitTaskBench
The dataset was presented in the paper GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging.
Dataset Details
Dataset Description
GitTaskBench is a benchmark dataset designed to evaluate the capabilities of code-based intelligent agents in solving real-world tasks by leveraging GitHub repositories.It contains 54 representative tasks across 7 domains, carefully curated to reflect… See the full description on the dataset page: https://huggingface.co/datasets/Nicole-Yi/GitTaskBench.random-small-github-repositories
random-small-github-repositories
A collection of 5,613 small-to-medium open-source GitHub repositories, packaged as zipped archives alongside a metadata CSV. Intended as a seed dataset for code retrieval, context engineering, and SWE-bench-style dataset construction tasks.
Contents
seed_small_repos.csv — metadata for each repo (owner, repo_name, stars, license, repo_hash)
repos-zipped/ — one .zip per repo, named {repo_hash}.zip
unzipper.py - unzipping python… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/random-small-github-repositories.GitChameleon-2.0
GitChameleon 2.0
GitChameleon 2.0 is an AI coding benchmark comprising 328 Python-based problems conditioned on specific versions of popular libraries for scientific computing and web development. It evaluates whether AI code generation models can correctly use library APIs as they existed at a particular version — a challenging test of version-specific knowledge.
Note: This is GitChameleon 2.0, a distinct and newer work from the original GitChameleon benchmark. Please do not… See the full description on the dataset page: https://huggingface.co/datasets/cabbage972/GitChameleon-2.0.github-codeThe GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.github-pr-agent-trajectories
Description
Reconstructed multi-step agent trajectories for resolving public GitHub PRs: a plan of subtasks and per-subtask subagents with scoped files and solution diffs.
Derived dataset. Source material retains its original per-item licence (see source/repo columns); treat as other / mixed. Provided as-is.
Usage
from datasets import load_dataset
ds = load_dataset("PotatoHD/github-pr-agent-trajectories")
github-jupyter-code-to-text
Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs
from this dataset that were originally code and markdown cells in Jupyter Notebooks.
The content of each example the following:
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
...
How to use it
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text.