datasets
Enrichment pending🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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Trust & integrity
Full report- Maintenance
- Very active (1d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Backing
Company and funding context for Hugging Face. Display-only - not part of trust score or organic ranking.
- Company
- Hugging Face·GitHub org profile·today
- Employees
- 160·Wikidata (P1128 employees)·today
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·today
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·today
Overview
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
```python from datasets import load_datasetSource link
Tags
README
Quick Start
🤗 Datasets is made to be very simple to use — the API is centered around a single function, datasets.load_dataset(dataset_name, **kwargs), that instantiates a dataset.
Here is a quick example:
from datasets import load_dataset