How to beginner · 3 min read

How to use Hugging Face datasets library

Q: How to use Hugging Face datasets library

Use the datasets library from Hugging Face to easily load and preprocess datasets with load_dataset. Install it via pip install datasets, then load datasets by name or local files for seamless integration into ML workflows.

Quick answer

Use the datasets library from Hugging Face to easily load and preprocess datasets with load_dataset. Install it via pip install datasets, then load datasets by name or local files for seamless integration into ML workflows.

PREREQUISITES

Python 3.8+
pip install datasets>=2.0

Setup

Install the Hugging Face datasets library using pip. No API key is required for basic usage.

bash

pip install datasets

Step by step

Load a dataset by name, explore its features, and access data samples with the following Python code.

python

from datasets import load_dataset

# Load the 'imdb' dataset
dataset = load_dataset('imdb')

# Print dataset splits
print(dataset)

# Access the first training example
print(dataset['train'][0])

output

{'train': Dataset({\n    features: ['text', 'label'],\n    num_rows: 25000\n}), 'test': Dataset({\n    features: ['text', 'label'],\n    num_rows: 25000\n}), 'unsupervised': Dataset({\n    features: ['text'],\n    num_rows: 50000\n})}
{'text': 'I rented I AM CURIOUS-YELLOW from my video store...', 'label': 0}

Common variations

You can load datasets from local files, use streaming for large datasets, or load specific dataset configurations.

python

from datasets import load_dataset

# Load dataset from local CSV file
local_dataset = load_dataset('csv', data_files='data/my_data.csv')

# Load dataset with streaming (memory efficient)
streamed_dataset = load_dataset('wikipedia', '20220301.en', streaming=True)

# Load a specific configuration of a dataset
config_dataset = load_dataset('glue', 'mrpc')

Troubleshooting

If you see ModuleNotFoundError, ensure datasets is installed with pip install datasets.
For slow downloads, check your internet connection or use dataset caching.
If loading local files, verify the file path and format are correct.

✅

Key Takeaways

Use load_dataset to quickly access thousands of datasets by name or local files.
The library supports streaming and dataset configurations for flexible data handling.
Install with pip install datasets and no API key is needed for public datasets.

Verified 2026-04

Verify ↗