Machine Learning Data Library
21.4k 2026-04-16

huggingface/datasets

A lightweight library providing a vast hub of ready-to-use datasets and efficient tools for data manipulation in AI and machine learning workflows.

Core Features

One-line dataloaders for numerous public datasets (text, image, audio).
Efficient and reproducible data pre-processing for public and local datasets.
Memory-mapping with Apache Arrow for handling large datasets beyond RAM limits.
Built-in interoperability with major ML frameworks (PyTorch, TensorFlow, JAX) and data libraries (NumPy, Pandas, Polars).
Smart caching and streaming mode for optimized data access and disk space saving.

Quick Start

pip install datasets

Detailed Introduction

Hugging Face Datasets is a pivotal open-source library designed to streamline data management for AI and machine learning projects. It offers a comprehensive hub of pre-processed, ready-to-use datasets across various modalities like text, image, and audio, accessible via simple one-line commands. Beyond data access, it provides robust tools for efficient and reproducible data pre-processing, supporting both public and local datasets in diverse formats. Leveraging Apache Arrow for memory-mapping, it effectively handles large datasets, overcoming RAM limitations, and integrates seamlessly with popular ML frameworks, making it an indispensable tool for data scientists and ML engineers.

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