Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Cloud storage","local":"cloud-storage","sections":[{"title":"Hugging Face Datasets","local":"hugging-face-datasets","sections":[],"depth":2},{"title":"Import data from a cloud storage","local":"import-data-from-a-cloud-storage","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/datasets/pr_8021/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/entry/start.467c4c66.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/scheduler.d75c11ed.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/singletons.24e4ec1f.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/index.d12496d4.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/paths.409c1290.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/entry/app.3b2ba720.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/preload-helper.a99c0584.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/index.4ec9dfe9.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/nodes/0.5fda7065.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/nodes/20.3cf2663d.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.ee0f129e.js"> | |
| <link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/CodeBlock.5919a092.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Cloud storage","local":"cloud-storage","sections":[{"title":"Hugging Face Datasets","local":"hugging-face-datasets","sections":[],"depth":2},{"title":"Import data from a cloud storage","local":"import-data-from-a-cloud-storage","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg></button></div> </div> <h1 class="relative group"><a id="cloud-storage" 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="#cloud-storage"><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>Cloud storage</span></h1> <h2 class="relative group"><a id="hugging-face-datasets" 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="#hugging-face-datasets"><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>Hugging Face Datasets</span></h2> <p data-svelte-h="svelte-pwg4if">The Hugging Face Dataset Hub is home to a growing collection of datasets that span a variety of domains and tasks.</p> <p data-svelte-h="svelte-le6063">It’s more than a cloud storage: the Dataset Hub is a platform that provides data versioning thanks to git, as well as a Dataset Viewer to explore the data, making it a great place to store AI-ready datasets.</p> <p data-svelte-h="svelte-ei4lhv">This guide shows how to import data from other cloud storage using the filesystems implementations from <code>fsspec</code>.</p> <h2 class="relative group"><a id="import-data-from-a-cloud-storage" 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="#import-data-from-a-cloud-storage"><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>Import data from a cloud storage</span></h2> <p data-svelte-h="svelte-1uadmic">Most cloud storage providers have a <code>fsspec</code> FileSystem implementation, which is useful to import data from any cloud provider with the same code. | |
| This is especially useful to publish datasets on Hugging Face.</p> <p data-svelte-h="svelte-1enr8yq">Take a look at the following table for some example of supported cloud storage providers:</p> <table data-svelte-h="svelte-40f5jy"><thead><tr><th>Storage provider</th> <th>Filesystem implementation</th></tr></thead> <tbody><tr><td>Amazon S3</td> <td><a href="https://s3fs.readthedocs.io/en/latest/" rel="nofollow">s3fs</a></td></tr> <tr><td>Google Cloud Storage</td> <td><a href="https://gcsfs.readthedocs.io/en/latest/" rel="nofollow">gcsfs</a></td></tr> <tr><td>Azure Blob/DataLake</td> <td><a href="https://github.com/fsspec/adlfs" rel="nofollow">adlfs</a></td></tr> <tr><td>Oracle Cloud Storage</td> <td><a href="https://ocifs.readthedocs.io/en/latest/" rel="nofollow">ocifs</a></td></tr></tbody></table> <p data-svelte-h="svelte-tdsgr3">This guide will show you how to import data files from any cloud storage and save a dataset on Hugging Face.</p> <p data-svelte-h="svelte-19vswnu">Let’s say we want to publish a dataset on Hugging Face from Parquet files from a cloud storage.</p> <p data-svelte-h="svelte-1fbzvas">First, instantiate your cloud storage filesystem and list the files you’d like to import:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span><span class="hljs-keyword">import</span> fsspec | |
| <span class="hljs-meta">>>> </span>fs = fsspec.filesystem(<span class="hljs-string">"..."</span>) <span class="hljs-comment"># s3 / gcs / abfs / adl / oci / ...</span> | |
| <span class="hljs-meta">>>> </span>data_dir = <span class="hljs-string">"path/to/my/data/"</span> | |
| <span class="hljs-meta">>>> </span>pattern = <span class="hljs-string">"*.parquet"</span> | |
| <span class="hljs-meta">>>> </span>data_files = fs.glob(data_dir + pattern) | |
| [<span class="hljs-string">"path/to/my/data/0001.parquet"</span>, <span class="hljs-string">"path/to/my/data/0001.parquet"</span>, ...]<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-br8k8v">Then you can create a dataset on Hugging Face and import the data files, using for example:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span><span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> create_repo, upload_file | |
| <span class="hljs-meta">>>> </span><span class="hljs-keyword">from</span> tqdm.auto <span class="hljs-keyword">import</span> tqdm | |
| <span class="hljs-meta">>>> </span>destination_dataset = <span class="hljs-string">"username/my-dataset"</span> | |
| <span class="hljs-meta">>>> </span>create_repo(destination_dataset, repo_type=<span class="hljs-string">"dataset"</span>) | |
| <span class="hljs-meta">>>> </span><span class="hljs-keyword">for</span> data_file <span class="hljs-keyword">in</span> tqdm(fs.glob(data_dir + pattern)): | |
| <span class="hljs-meta">... </span> <span class="hljs-keyword">with</span> fs.<span class="hljs-built_in">open</span>(data_file) <span class="hljs-keyword">as</span> fileobj: | |
| <span class="hljs-meta">... </span> path_in_repo = data_file[<span class="hljs-built_in">len</span>(data_dir):] | |
| <span class="hljs-meta">... </span> upload_file( | |
| <span class="hljs-meta">... </span> path_or_fileobj=fileobj, | |
| <span class="hljs-meta">... </span> path_in_repo=path_in_repo, | |
| <span class="hljs-meta">... </span> repo_id=destination_dataset, | |
| <span class="hljs-meta">... </span> repo_type=<span class="hljs-string">"dataset"</span>, | |
| <span class="hljs-meta">... </span> )<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-drsgq7">Check out the <a href="https://huggingface.co/docs/huggingface_hub" rel="nofollow">huggingface_hub</a> documentation on files uploads <a href="https://huggingface.co/docs/huggingface_hub/en/guides/upload" rel="nofollow">here</a> if you’re looking for more upload options.</p> <p data-svelte-h="svelte-5gahax">Finally you can now load the dataset using 🤗 Datasets:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset | |
| <span class="hljs-meta">>>> </span>ds = load_dataset(<span class="hljs-string">"username/my-dataset"</span>)<!-- HTML_TAG_END --></pre></div> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/datasets/blob/main/docs/source/filesystems.mdx" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_1tcoqe3 = { | |
| assets: "/docs/datasets/pr_8021/en", | |
| base: "/docs/datasets/pr_8021/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/datasets/pr_8021/en/_app/immutable/entry/start.467c4c66.js"), | |
| import("/docs/datasets/pr_8021/en/_app/immutable/entry/app.3b2ba720.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 20], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 17.7 kB
- Xet hash:
- fb6a68c544f039566ccf1c08fe36458ff8de5bce03ddc0a0b54b465321923378
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.