Datasets · Hugging Face

Datasets documentation
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🤗 Datasets is a library for easily accessing and sharing AI datasets for Audio, Computer Vision, and Natural Language Processing (NLP) tasks.
Load a dataset in a single line of code, and use our powerful data processing and streaming methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep integration with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider machine learning community.
Find your dataset today on the Hugging Face Hub, and take an in-depth look inside of it with the live viewer.
Learn the basics and become familiar with loading, accessing, and processing a dataset. Start here if you are using 🤗 Datasets for the first time!
Practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use 🤗 Datasets to solve real-world problems.
High-level explanations for building a better understanding about important topics such as the underlying data format, the cache, and how datasets are generated.
Technical descriptions of how 🤗 Datasets classes and methods work.