首页 首页 编程网站导航 编程网站导航
  • Get started
  • 🤗 Datasets
  • Quickstart
  • Installation
  • Tutorials
  • Overview
  • Load a dataset from the Hub
  • Know your dataset
  • Preprocess
  • Create a dataset
  • Share a dataset to the Hub
  • How-to guides
  • Overview
  • General usage
  • Load
  • Process
  • Stream
  • Use with TensorFlow
  • Use with PyTorch
  • Use with JAX
  • Use with Spark
  • Cache management
  • Cloud storage
  • Search index
  • CLI
  • Troubleshooting
  • Audio
  • Load audio data
  • Process audio data
  • Create an audio dataset
  • Vision
  • Load image data
  • Process image data
  • Create an image dataset
  • Depth estimation
  • Image classification
  • Semantic segmentation
  • Object detection
  • Text
  • Load text data
  • Process text data
  • Tabular
  • Load tabular data
  • Dataset repository
  • Share
  • Create a dataset card
  • Structure your repository
  • Create a dataset loading script
  • Conceptual guides
  • Datasets 🤝 Arrow
  • The cache
  • Dataset or IterableDataset
  • Dataset features
  • Build and load
  • Batch mapping
  • Reference
  • Main classes
  • Builder classes
  • Loading methods
  • Table Classes
  • Utilities
  • Task templates

    • Datasets

    🤗 Datasets is a library for easily accessing and sharing 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 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.