huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

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🤗 Datasets is a lightweight library providing two main features: 🎓 Documentation 🔎 Find a dataset in the Hub 🌟 Share a dataset on the Hub 🤗 Datasets is designed to let the community easily add and share new datasets, and provides powerful capabilities for data manipulation: 🤗 Datasets can be installed from PyPi and should be installed in a virtual environment (venv or conda for instance): For the latest development version: 🤗 Datasets supports various optional features via extras: For more details on installation, check the installation page. 🤗 Datasets is made to be very simple to use — the API is centered around a single function, datasets.loaddataset(datasetname, kwargs), that instantiates a dataset. Here is a quick example: If your dataset is bigger than your disk or if you don't want to wait to download the data, you can use streaming: 🤗 Datasets supports a wide variety of data…

huggingface/datasets on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-27T09:27:23.077Z

Inside the original README — Document outline
  1. 🚀 Key Features
  2. Installation
  3. With pip
  4. With conda
  5. Optional dependencies
  6. Quick Start
  7. Streaming mode
  8. Multi-modal data
  9. From local files
  10. From Python objects
  11. Core Classes
  12. Add a new dataset to the Hub

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Repository facts

Owner
huggingface
Primary language
Python
Stars
22,098
Forks
3,584
Open issues + pull requests
1,559
License
Apache-2.0
Archived
No
Default branch
main
Created
2020-03-26T09:23:22.000Z
Last push
2026-10-30T14:50:40.000Z

Topics and intended use

Owner-supplied topics: ai, artificial-intelligence, computer-vision, dataset-hub, datasets, deep-learning, huggingface, llm, machine-learning, natural-language-processing, nlp, numpy, pandas, pytorch, speech, tensorflow

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