Buckets:
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| <link rel="modulepreload" href="/docs/transformers/pr_26617/en/_app/immutable/chunks/CodeBlock.ab12f8e1.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Data collators","local":"data-collators","sections":[{"title":"DataCollatorWithPadding","local":"datacollatorwithpadding","sections":[],"depth":2},{"title":"DataCollatorMixin","local":"datacollatormixin","sections":[],"depth":2},{"title":"Next steps","local":"next-steps","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="data-collators" 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="#data-collators"><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>Data collators</span></h1> <p data-svelte-h="svelte-1qos545">A data collator assembles individual dataset samples into a batch for the model. It can also dynamically pad samples to the longest sequence in <em>each batch</em>, which is more efficient than padding to a global maximum length.</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 -->Dataset[0] → {"input<span class="hljs-emphasis">_ids": [101, 2003], "labels": 1} | |
| Dataset[1] → {"input_</span>ids": [101, 2003, 1996], "labels": 0} | |
| Dataset[2] → {"input<span class="hljs-emphasis">_ids": [101, 7592], "labels": 1} | |
| ↓ collator | |
| { | |
| "input_</span>ids": tensor([[101, 2003, 0], # padded to longest | |
| <span class="hljs-code"> [101, 2003, 1996], | |
| [101, 7592, 0]]), | |
| "labels": tensor([1, 0, 1]) | |
| }</span><!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-15vazsi">Transformers provides data collators for various tasks (see all available <a href="./main_classes/data_collator">data collators</a>). Create a custom data collator with:</p> <ul data-svelte-h="svelte-1gvw576"><li><a href="#datacollatorwithpadding">DataCollatorWithPadding</a> when you need standard tokenizer-based padding plus extra fields.</li> <li><a href="#datacollatormixin">DataCollatorMixin</a> when you need custom padding logic, multiple paired inputs per sample, or a batch structure the tokenizer can’t produce on its own.</li></ul> <h2 class="relative group"><a id="datacollatorwithpadding" 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="#datacollatorwithpadding"><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>DataCollatorWithPadding</span></h2> <p data-svelte-h="svelte-1lpc9p5">For simple use cases like adding an extra field, subclass <a href="/docs/transformers/pr_26617/en/main_classes/data_collator#transformers.DataCollatorWithPadding">DataCollatorWithPadding</a> and extend its <code>__call__</code> method. The example below adds a <code>"score"</code> field.</p> <ol data-svelte-h="svelte-1o4jek7"><li>Remove the custom field first because <a href="/docs/transformers/pr_26617/en/internal/tokenization_utils#transformers.PreTrainedTokenizerBase.pad">pad()</a> doesn’t recognize it.</li> <li>Call the parent class to handle <code>input_ids</code> and <code>attention_mask</code>.</li> <li>Add the <code>"score"</code> field back to the batch.</li></ol> <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-keyword">import</span> torch | |
| <span class="hljs-keyword">from</span> dataclasses <span class="hljs-keyword">import</span> dataclass | |
| <span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> DataCollatorWithPadding, PreTrainedTokenizerBase | |
| <span class="hljs-meta">@dataclass</span> | |
| <span class="hljs-keyword">class</span> <span class="hljs-title class_">DataCollatorWithScore</span>(<span class="hljs-title class_ inherited__">DataCollatorWithPadding</span>): | |
| tokenizer: PreTrainedTokenizerBase | |
| <span class="hljs-keyword">def</span> <span class="hljs-title function_">__call__</span>(<span class="hljs-params">self, features</span>): | |
| scores = [f.pop(<span class="hljs-string">"score"</span>) <span class="hljs-keyword">for</span> f <span class="hljs-keyword">in</span> features] | |
| batch = <span class="hljs-built_in">super</span>().__call__(features) | |
| batch[<span class="hljs-string">"score"</span>] = torch.tensor(scores, dtype=torch.<span class="hljs-built_in">float</span>) | |
| <span class="hljs-keyword">return</span> batch<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-6n77d9">Pass the custom data collator to <a href="/docs/transformers/pr_26617/en/main_classes/trainer#transformers.Trainer">Trainer</a> like any other data collator.</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 -->trainer = Trainer( | |
| ..., | |
| data_collator=DataCollatorWithScore(tokenizer=tokenizer), | |
| )<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="datacollatormixin" 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="#datacollatormixin"><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>DataCollatorMixin</span></h2> <p data-svelte-h="svelte-16qdgku">Subclass <code>DataCollatorMixin</code> for full control over batch assembly and implement your own <code>__call__</code> method. Build custom padding logic, handle multiple input types, or create entirely new batch structures. The <a href="https://github.com/huggingface/trl/blob/cfbdd3bea4448cde878c0da0de49551f553c61fe/trl/trainer/reward_trainer.py#L126" rel="nofollow">DataCollatorForPreference</a> example below uses <code>DataCollatorMixin</code> because each training sample has a chosen and rejected response, and the model needs to see both.</p> <ol data-svelte-h="svelte-9dkzt9"><li>Separate <code>chosen_ids</code> and <code>rejected_ids</code> because <code>pad</code> expects flat lists.</li> <li>Concatenate the input pair into a single list.</li> <li>Generate <code>attention_mask</code> with <a href="https://docs.pytorch.org/docs/stable/generated/torch.ones_like.html" rel="nofollow">torch.ones_like</a> instead of the tokenizer because the collator works with raw token ID lists.</li> <li>Pad <code>input_ids</code> and <code>attention_mask</code>.</li></ol> <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-keyword">import</span> torch | |
| <span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> DataCollatorMixin | |
| <span class="hljs-keyword">from</span> trl.trainer.utils <span class="hljs-keyword">import</span> pad | |
| <span class="hljs-keyword">class</span> <span class="hljs-title class_">DataCollatorForPreference</span>(<span class="hljs-title class_ inherited__">DataCollatorMixin</span>): | |
| pad_token_id: <span class="hljs-built_in">int</span> | |
| pad_to_multiple_of: <span class="hljs-built_in">int</span> | <span class="hljs-literal">None</span> = <span class="hljs-literal">None</span> | |
| <span class="hljs-keyword">def</span> <span class="hljs-title function_">__call__</span>(<span class="hljs-params">self, examples: <span class="hljs-built_in">list</span>[<span class="hljs-built_in">dict</span>]</span>) -> <span class="hljs-built_in">dict</span>: | |
| chosen_input_ids = [torch.tensor(ex[<span class="hljs-string">"chosen_ids"</span>]) <span class="hljs-keyword">for</span> ex <span class="hljs-keyword">in</span> examples] | |
| rejected_input_ids = [torch.tensor(ex[<span class="hljs-string">"rejected_ids"</span>]) <span class="hljs-keyword">for</span> ex <span class="hljs-keyword">in</span> examples] | |
| input_ids = chosen_input_ids + rejected_input_ids | |
| attention_mask = [torch.ones_like(ids) <span class="hljs-keyword">for</span> ids <span class="hljs-keyword">in</span> input_ids] | |
| output = { | |
| <span class="hljs-string">"input_ids"</span>: pad( | |
| input_ids, | |
| padding_value=self.pad_token_id, | |
| padding_side=<span class="hljs-string">"right"</span>, | |
| pad_to_multiple_of=self.pad_to_multiple_of, | |
| ), | |
| <span class="hljs-string">"attention_mask"</span>: pad( | |
| attention_mask, | |
| padding_value=<span class="hljs-number">0</span>, | |
| padding_side=<span class="hljs-string">"right"</span>, | |
| pad_to_multiple_of=self.pad_to_multiple_of, | |
| ), | |
| } | |
| ... | |
| <span class="hljs-keyword">return</span> output<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="next-steps" 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="#next-steps"><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>Next steps</span></h2> <ul data-svelte-h="svelte-1rba78b"><li>See all available <a href="./main_classes/data_collator">data collators</a> for common tasks like token classification.</li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/transformers/blob/main/docs/source/en/data_collators.md" 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> | |
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| import("/docs/transformers/pr_26617/en/_app/immutable/entry/start.b5ae2c21.js"), | |
| import("/docs/transformers/pr_26617/en/_app/immutable/entry/app.9acf2c3e.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 35], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 22.6 kB
- Xet hash:
- a8475d08680d8b358b3db8eeee4b3d434284bb0adfee7848ac432b2f1e408c0e
·
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