huggingface/datasets
GitHub🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
- ai
- artificial-intelligence
- computer-vision
- dataset-hub
- datasets
- deep-learning
- huggingface
- llm
- machine-learning
- natural-language-processing
- nlp
- numpy
- pandas
- pytorch
- speech
- tensorflow
- Stars:
- 22.1k
- Language:
- Python
- Default branch:
- main
- Last scored:
At a glance
- Rank
- #162 of 401
- Top 40% · #33 of 56 Python repos
- Checks passed
- 9 of 17
- Full list below
- Best set up for
- Claude Code
- Score 75.4
- Needs most work for
- Cursor
- Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)
What it has
What it's missing
What to fix first
Showing fixes for Claude Code
- 1AGENTS.md / CLAUDE.mdAdd an AGENTS.md covering project goals, layout, setup commands, and conventions. Aim for 800+ chars of real guidance (not boilerplate).+13.2 pts
- 2Type configurationAdd a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.+7.9 pts
- 3Reproducible dev envAdd a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.+3.6 pts
Score for each AI agent
Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →
Does huggingface/datasets have agent instructions?
An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.
- AGENTS.md / CLAUDE.md
- None at the root (no AGENTS.md, CLAUDE.md, AGENT.md, .claude/CLAUDE.md or .claude/AGENTS.md)
- Agent-specific files
- None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
- Repos that have one
- 29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →
Get a starter AGENTS.md
From the files the checks found. Fill in the commands, then commit it at the root.
# AGENTS.md
Guidance for AI coding agents working in huggingface/datasets. 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools. Written mainly in Python.
## Where things are
- Dependencies are declared in `pyproject.toml`.
- Tests live in `tests`.
- Lint and format rules are configured in `pyproject.toml`.
- CI is defined in `.github/workflows`; read it for the exact install, lint and test steps.
- Commit hooks are set up in `.pre-commit-config.yaml`; don't skip them.
- Common tasks are targets in `Makefile`.
- Follow the conventions in `CONTRIBUTING.md`.
## Commands
<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO
All 17 checks · 9 passed
How huggingface/datasets compares
- vs leaderboard average
- 3.9 pts above
- Average 66.8
- vs Python average
- 0.3 pts below
- Average 71.0
- Stars among Python repos
- #46 of 56
Missing here, and how many repos have it
- Type configuration · passed by 68% of leaderboard repos, 57% of Python repos
- Skills (.agents/skills) · passed by 17% of leaderboard repos, 20% of Python repos
- Cursor rules (.cursor/rules) · passed by 4% of leaderboard repos, 7% of Python repos
Passes checks most repos miss
- Pre-commit / git hooks · only 29% of repos pass it
- Manageable size · only 16% of repos pass it
One fix for the most agents: AGENTS.md / CLAUDE.md would raise the score for all 9 agents, by up to 13.3 points.
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Same topics, any language
Repos tagged with the same GitHub topics, most shared first.
- ray-project/ray73.6Python · deep learning, LLM, machine learning, PyTorch, tensorflow
- explosion/spaCy66.2Python · deep learning, machine learning, natural language processing, nlp
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- pytorch/pytorch84.6Python · deep learning, machine learning, numpy
- opencv/opencv42.7C++ · computer vision, deep learning
- Python · LLM, nlp
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