Datasets
  • 🌍GET STARTED
    • Datasets
    • Quickstart
    • Installation
  • 🌍TUTORIALS
    • Overview
    • Load a dataset from the Hub
    • Know your dataset
    • Preprocess
    • Evaluate predictions
    • Create a data
    • 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
      • Metrics
      • Beam Datasets
    • 🌍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 with Arrow
    • The cache
    • Dataset or IterableDataset
    • Dataset features
    • Build and load
    • Batch mapping
    • All about metrics
  • 🌍REFERENCE
    • Main classes
    • Builder classes
    • Loading methods
    • Table Classes
    • Logging methods
    • Task templates
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  1. TUTORIALS

Overview

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Last updated 1 year ago

Overview

Welcome to the 🌍 Datasets tutorials! These beginner-friendly tutorials will guide you through the fundamentals of working with 🌍 Datasets. You’ll load and prepare a dataset for training with your machine learning framework of choice. Along the way, you’ll learn how to load different dataset configurations and splits, interact with and see what’s inside your dataset, preprocess, and share a dataset to the .

The tutorials assume some basic knowledge of Python and a machine learning framework like PyTorch or TensorFlow. If you’re already familiar with these, feel free to check out the to see what you can do with 🌍 Datasets.

The tutorials only cover the basic skills you need to use 🌍 Datasets. There are many other useful functionalities and applications that aren’t discussed here. If you’re interested in learning more, take a look at of the BOINC AI course.

If you have any questions about 🌍 Datasets, feel free to join and ask the community on our .

Let’s get started! 🏁

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