How much do AI datasets cost to access?
Last updated: 2026-11-09
Downloading the open datasets on our ranked list is almost always free. The real costs are storage (if you host your own datasets), queries (on BigQuery), and the compute you need to process large corpora. All figures below come from each provider's official documentation as of the date above.
| Source | Access to public data | Paid components |
|---|---|---|
| Hugging Face Hub | Free | Free accounts: 100GB private storage, best-effort public storage. PRO: up to 10TB public included and 1TB private. Public storage add-on $12/TB/month (or $10/TB/month at the 50TB tier). Extra private storage $18/TB/month base, with lower volume rates ($16, $14, $12/TB/month at 50TB+, 200TB+ and 500TB+). |
| Kaggle | Free to view, download and analyze; API downloads of public data need no key | None for public data. Notebook compute, including free GPU/TPU, has quotas. |
| BigQuery public datasets | Google pays storage; first 1TB of queries per month free | Queries above the free tier, at BigQuery query pricing. No SLA. |
| Common Crawl | Free access through Amazon's hosting | Your own compute, whether on AWS or after downloading. |
| AWS Registry of Open Data | Free to browse; datasets supplied by third parties | The AWS compute you use to process the data. |
| Azure Open Datasets | Free; no Azure account needed from Python | Azure ML or Databricks compute, if you use them. |
| FineWeb, Dolma, LAION, UCI, OpenML, Data.gov, Zenodo | Free | Your own storage and compute. Dolma v1.7 alone is 4.5TB compressed. |
Hidden costs to budget for
- Processing web-scale corpora: Common Crawl is measured in petabytes, and filtering and deduplicating it takes significant compute.
- Fetching linked media: LAION image datasets are mostly text–image links, so you pay the bandwidth and storage to download the actual content.
- Compliance work: checking licenses, upstream rights and personal data takes staff time, even when the data is free.
Prices change. Check each provider's page before you commit. See also our methodology.
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