HF Datasets License Catalog
Catalog of ~885k Hugging Face datasets with their licenses, built from a single pass over list_datasets() (license from tags). No per-dataset card fetches.
Related: midah/hf-dataset-licenses (SPDX 700+ licenses) · modelbiome/ai_ecosystem (1.86M models — figures 05–07 use model↔dataset links)
Dataset
Schema
| Field | Type | Description |
|---|---|---|
| dataset_id | string | HF dataset ID (e.g. org/name) |
| license | string | null | License from tags (license:xxx), null if absent |
| author | string | Dataset author |
| downloads | int | Total downloads |
| likes | int | Likes |
| private | bool | Private repo |
| gated | bool | Gated access |
| last_modified | string | ISO timestamp |
Usage
from datasets import load_dataset
ds = load_dataset("midah/hf-datasets-licenses")
# Filter by license
mit = ds["train"].filter(lambda x: x["license"] == "mit")
Figures
Model ↔ dataset relationships from modelbiome/ai_ecosystem: top cross-license pairs, conditional dataset mix per model license, and consistency.
Source
Built by scripts/build_hf_datasets_licenses.py from the Hugging Face Hub API. License from tags only; no per-dataset README parsing.
License
CC0-1.0.