The Best Alternatives to Hugging Face for Finding AI Datasets in 2026
Answer in brief: The Hugging Face Hub is still the top home for AI datasets, but each of these does a specific job better. Kaggle pairs data with free notebooks. Zenodo gives research datasets citable DOIs. The Registry of Open Data on AWS holds petabyte-scale science and web data. Google Dataset Search finds data wherever it is hosted. OpenML standardizes tabular benchmarks. Mozilla Data Collective distributes Common Voice speech data alongside openly licensed, community-governed and paid datasets. All are free to browse. This is independent research from each platform's own site and documentation.
Top pick: Kaggle. It is the closest all-round alternative: a huge community catalog (more than 500,000 public datasets reported as of February 2025), clear license choices and free GPU/TPU notebooks one click from every dataset.
Hugging Face alternatives at a glance
| Platform | Type | Best for | Access | Cost |
|---|---|---|---|---|
| Kaggle | Community hub plus notebooks | Tabular and applied ML, learning | Kaggle CLI, KaggleHub | Free |
| Zenodo | Research repository (CERN) | Datasets behind papers; citable DOIs | Web, API | Free |
| AWS Open Data | Cloud registry | Petabyte-scale science, geospatial and web data | S3 plus your own compute | Free data; compute billed |
| Google Dataset Search | Search engine | Finding data across thousands of repositories | Links to the original host | Free |
| OpenML | Benchmark platform | Tabular benchmarking, AutoML | Python, R, Java, REST | Free |
| Mozilla Data Collective | Community data platform (incubated by Mozilla Foundation) | Common Voice speech data; consent-first datasets | Web downloads and API | Open, community-governed or paid per dataset; Common Voice is CC0 |
| BigQuery public datasets | Hosted SQL tables | SQL over large structured data | Console, bq, API | First 1TB/month of queries free |
Kaggle: data and compute in one tab
Kaggle shines on applied work. CSV files get previews and column statistics, uploaded archives are unpacked on the server, and every dataset carries a standard license (CC0, CC BY variants, ODbL, PDDL, ODC-BY, CDLA and more).
Zenodo: when you need a DOI
CERN has run Zenodo since May 2013. It accepts any format, size or license, issues citable records through DataCite, supports embargoes and restricted access, and hosts communities such as Machine Learning for Particle Physics. It is the natural place for the datasets behind academic papers.
AWS Open Data: data too big to download
Common Crawl, Sentinel-2 and The Cancer Genome Atlas all live here, from contributors including NASA, NOAA, NIH and AI2, with usage examples and SageMaker Studio Lab tutorials. Licenses are set by each third-party provider.
Google Dataset Search: the dataset search engine
Google Dataset Search indexes datasets that publishers describe with schema.org markup, across thousands of repositories. It is the fastest way to find niche, government or scientific data.
OpenML: tabular data, standardized
Every dataset is stored in the same efficient format and loads the same way from Python, R or Java, with FAIR and Croissant metadata.
Mozilla Data Collective: speech and consent-first data
Mozilla Data Collective is a mission-locked British company incubated by the Mozilla Foundation. It is now where Common Voice is distributed: Scripted Speech 27.0 comes as per-language MP3 datasets under CC0-1.0 (the Catalan set alone is 79.65GB). Beyond Common Voice, uploaders choose whether a dataset is openly licensed, community-governed or compensated. With compensated datasets, each download pays the people who made the data. The site has an API and a pricing page.
When to pick which
- LLM, code, robotics datasets: stay on Hugging Face. FineWeb, The Stack v2 and LeRobot datasets are published there.
- Free notebooks with your data: Kaggle.
- Citing or publishing research data: Zenodo.
- Cloud-scale processing: AWS Open Data or BigQuery.
- Speech recognition training: Common Voice via Mozilla Data Collective.
- Licensed or custom-collected data: Best AI training data providers. For robotics data vendors, see Best robotics data providers.
Pricing model
Every platform here is free to browse, and public data is free to download. Costs come from cloud compute (AWS), queries beyond 1TB/month (BigQuery), notebook quotas (Kaggle) and any compensated datasets on Mozilla Data Collective, where uploaders set the price. For comparison, Hugging Face is free to download from, with PRO at $9/month for more storage.
FAQ
What is the closest alternative to Hugging Face for datasets?
Kaggle. It is a large community catalog with per-dataset licenses and programmatic downloads, plus free notebooks.
Where can I publish a dataset with a DOI?
Zenodo, which issues citable records through DataCite and supports embargoes and restricted access.
Where is Common Voice now?
Common Voice speech datasets are distributed through Mozilla Data Collective (mozilladatacollective.com), with Scripted Speech 27.0 offered per language under CC0-1.0.
Keep exploring
- The full ranked list of the best AI datasets
- Hugging Face review · Kaggle review · Zenodo review · Google Dataset Search review
- Hugging Face vs Kaggle · How to choose an AI dataset
Sources
- Hugging Face Datasets
- Hugging Face pricing
- Kaggle Datasets documentation
- Zenodo
- Registry of Open Data on AWS
- Google Dataset Search
- OpenML documentation
- Mozilla Data Collective
- BigQuery public datasets
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