hub/main/en/datasets-libraries.html

<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Libraries&quot;,&quot;local&quot;:&quot;libraries&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}">
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		<link rel="modulepreload" href="/docs/hub/main/en/_app/immutable/chunks/EditOnGithub.da2b595c.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Libraries&quot;,&quot;local&quot;:&quot;libraries&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <h1 class="relative group"><a id="libraries" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#libraries"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Libraries</span></h1> <p data-svelte-h="svelte-19pvdk">The Datasets Hub has support for several libraries in the Open Source ecosystem.
Thanks to the <a href="/docs/huggingface_hub">huggingface_hub Python library</a>, it’s easy to enable sharing your datasets on the Hub.
We’re happy to welcome to the Hub a set of Open Source libraries that are pushing Machine Learning forward.</p> <p data-svelte-h="svelte-ff3ufa">The table below summarizes the supported libraries and their level of integration.</p> <table data-svelte-h="svelte-1hcj4t5"><thead><tr><th>Library</th> <th>Description</th> <th>Download from Hub</th> <th>Push to Hub</th></tr></thead> <tbody><tr><td><a href="./datasets-argilla">Argilla</a></td> <td>Collaboration tool for AI engineers and domain experts that value high quality data.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-dask">Dask</a></td> <td>Parallel and distributed computing library that scales the existing Python and PyData ecosystem.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-usage">Datasets</a></td> <td>🤗 Datasets is a library for accessing and sharing datasets for Audio, Computer Vision, and Natural Language Processing (NLP).</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-distilabel">Distilabel</a></td> <td>The framework for synthetic data generation and AI feedback.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-duckdb">DuckDB</a></td> <td>In-process SQL OLAP database management system.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-fiftyone">FiftyOne</a></td> <td>FiftyOne is a library for curation and visualization of image, video, and 3D data.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-pandas">Pandas</a></td> <td>Python data analysis toolkit.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-polars">Polars</a></td> <td>A DataFrame library on top of an OLAP query engine.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-spark">Spark</a></td> <td>Real-time, large-scale data processing tool in a distributed environment.</td> <td>✅</td> <td>✅</td></tr> <tr><td><a href="./datasets-webdataset">WebDataset</a></td> <td>Library to write I/O pipelines for large datasets.</td> <td>✅</td> <td>❌</td></tr></tbody></table> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/hub-docs/blob/main/docs/hub/datasets-libraries.md" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a>  <p></p> 
			
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