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Hugging Face Hub offers a seamless platform for hosting and sharing large, open machine learning datasets, supporting terabyte‑scale storage and a variety of file formats. It provides tools such as the Datasets Viewer, SQL Console, and integrated libraries for easy access and exploration. The Hub also includes robust security features and access controls, enabling researchers to share data responsibly while maximizing visibility and impact.
If you're working on data-intensive research or machine learning projects, you need a reliable way to share and host your datasets. Public datasets such as Common Crawl, ImageNet, Common Voice and more are critical to the open ML ecosystem, yet they can be challenging to host and share.
Hugging Face Hub makes it seamless to host and share datasets, trusted by many leading research institutions, companies, and government agencies, including Nvidia , Google , Stanford , NASA , THUDM and Barcelona Supercomputing Center .
By hosting a dataset on the Hugging Face Hub, you get instant access to features that can maximize your work's impact:
The Hub can host terabyte-scale datasets, with high per-file and per-repository limits . If you have data to share, the Hugging Face datasets team can help suggest the best format for uploading your data for community usage. The 🤗 Datasets library makes it easy to upload and download your files, or even create a dataset from scratch. 🤗 Datasets also enables dataset streaming , making it possible to work with large datasets without needing to download the entire thing. This can be invaluable to allow researchers with less computational resources to work with your datasets, or to select small portions of a huge dataset for testing, development or prototyping.
You can find more information about integrated libraries in the Datasets documentation . Along with the libraries listed above, there are many more community supported tools which support the Hugging Face Hub such as Lilac and Spotlight .
The Hugging Face Hub can host the large datasets often created for machine learning research.
Note: The Xet team is currently working on a backend update that will increase per-file limits from the current 50 GB to 500 GB while also improving storage and transfer efficiency.
Beyond just hosting your data, the Hub provides powerful tools for exploration. With the Datasets Viewer, users can explore and interact with datasets hosted on the Hub directly in their browser. This provides an easy way for others to view and explore your data without downloading it first.
By simplifying dataset hosting and access, Hugging Face Hub accelerates research collaboration and reproducibility across the AI community.