Buckets:
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| <link rel="modulepreload" href="/docs/datasets/pr_6988/en/_app/immutable/chunks/EditOnGithub.725ee0c1.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Evaluate predictions","local":"evaluate-predictions","sections":[{"title":"Load metric","local":"load-metric","sections":[],"depth":2},{"title":"Select a configuration","local":"select-a-configuration","sections":[],"depth":2},{"title":"Metrics object","local":"metrics-object","sections":[],"depth":2},{"title":"Compute metric","local":"compute-metric","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="evaluate-predictions" 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="#evaluate-predictions"><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>Evaluate predictions</span></h1> <div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400"><p data-svelte-h="svelte-77nnuj">Metrics is deprecated in 🤗 Datasets. To learn more about how to use metrics, take a look at the library 🤗 <a href="https://huggingface.co/docs/evaluate/index" rel="nofollow">Evaluate</a>! In addition to metrics, you can find more tools for evaluating models and datasets.</p></div> <p data-svelte-h="svelte-1rpmogw">🤗 Datasets provides various common and NLP-specific <a href="https://huggingface.co/metrics" rel="nofollow">metrics</a> for you to measure your models performance. In this section of the tutorials, you will load a metric and use it to evaluate your models predictions.</p> <p data-svelte-h="svelte-1ocxxa">You can see what metrics are available with <a href="/docs/datasets/pr_6988/en/package_reference/loading_methods#datasets.list_metrics">list_metrics()</a>:</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> list_metrics | |
| <span class="hljs-meta">>>> </span>metrics_list = list_metrics() | |
| <span class="hljs-meta">>>> </span><span class="hljs-built_in">len</span>(metrics_list) | |
| <span class="hljs-number">28</span> | |
| <span class="hljs-meta">>>> </span><span class="hljs-built_in">print</span>(metrics_list) | |
| [<span class="hljs-string">'accuracy'</span>, <span class="hljs-string">'bertscore'</span>, <span class="hljs-string">'bleu'</span>, <span class="hljs-string">'bleurt'</span>, <span class="hljs-string">'cer'</span>, <span class="hljs-string">'comet'</span>, <span class="hljs-string">'coval'</span>, <span class="hljs-string">'cuad'</span>, <span class="hljs-string">'f1'</span>, <span class="hljs-string">'gleu'</span>, <span class="hljs-string">'glue'</span>, <span class="hljs-string">'indic_glue'</span>, <span class="hljs-string">'matthews_correlation'</span>, <span class="hljs-string">'meteor'</span>, <span class="hljs-string">'pearsonr'</span>, <span class="hljs-string">'precision'</span>, <span class="hljs-string">'recall'</span>, <span class="hljs-string">'rouge'</span>, <span class="hljs-string">'sacrebleu'</span>, <span class="hljs-string">'sari'</span>, <span class="hljs-string">'seqeval'</span>, <span class="hljs-string">'spearmanr'</span>, <span class="hljs-string">'squad'</span>, <span class="hljs-string">'squad_v2'</span>, <span class="hljs-string">'super_glue'</span>, <span class="hljs-string">'wer'</span>, <span class="hljs-string">'wiki_split'</span>, <span class="hljs-string">'xnli'</span>]<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="load-metric" 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="#load-metric"><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>Load metric</span></h2> <p data-svelte-h="svelte-f8nadc">It is very easy to load a metric with 🤗 Datasets. In fact, you will notice that it is very similar to loading a dataset! Load a metric from the Hub with <a href="/docs/datasets/pr_6988/en/package_reference/loading_methods#datasets.load_metric">load_metric()</a>:</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_metric | |
| <span class="hljs-meta">>>> </span>metric = load_metric(<span class="hljs-string">'glue'</span>, <span class="hljs-string">'mrpc'</span>)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-lnaepx">This will load the metric associated with the MRPC dataset from the GLUE benchmark.</p> <h2 class="relative group"><a id="select-a-configuration" 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="#select-a-configuration"><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>Select a configuration</span></h2> <p data-svelte-h="svelte-ufgbiu">If you are using a benchmark dataset, you need to select a metric that is associated with the configuration you are using. Select a metric configuration by providing the configuration name:</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>metric = load_metric(<span class="hljs-string">'glue'</span>, <span class="hljs-string">'mrpc'</span>)<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="metrics-object" 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="#metrics-object"><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>Metrics object</span></h2> <p data-svelte-h="svelte-f1vb92">Before you begin using a <a href="/docs/datasets/pr_6988/en/package_reference/main_classes#datasets.Metric">Metric</a> object, you should get to know it a little better. As with a dataset, you can return some basic information about a metric. For example, access the <code>inputs_description</code> parameter in <a href="/docs/datasets/pr_6988/en/package_reference/main_classes#datasets.MetricInfo">datasets.MetricInfo</a> to get more information about a metrics expected input format and some usage examples:</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-built_in">print</span>(metric.inputs_description) | |
| Compute GLUE evaluation metric associated to each GLUE dataset. | |
| Args: | |
| predictions: <span class="hljs-built_in">list</span> of predictions to score. | |
| Each translation should be tokenized into a <span class="hljs-built_in">list</span> of tokens. | |
| references: <span class="hljs-built_in">list</span> of lists of references <span class="hljs-keyword">for</span> each translation. | |
| Each reference should be tokenized into a <span class="hljs-built_in">list</span> of tokens. | |
| Returns: depending on the GLUE subset, one <span class="hljs-keyword">or</span> several of: | |
| <span class="hljs-string">"accuracy"</span>: Accuracy | |
| <span class="hljs-string">"f1"</span>: F1 score | |
| <span class="hljs-string">"pearson"</span>: Pearson Correlation | |
| <span class="hljs-string">"spearmanr"</span>: Spearman Correlation | |
| <span class="hljs-string">"matthews_correlation"</span>: Matthew Correlation | |
| Examples: | |
| >>> glue_metric = datasets.load_metric(<span class="hljs-string">'glue'</span>, <span class="hljs-string">'sst2'</span>) <span class="hljs-comment"># 'sst2' or any of ["mnli", "mnli_mismatched", "mnli_matched", "qnli", "rte", "wnli", "hans"]</span> | |
| >>> references = [<span class="hljs-number">0</span>, <span class="hljs-number">1</span>] | |
| >>> predictions = [<span class="hljs-number">0</span>, <span class="hljs-number">1</span>] | |
| >>> results = glue_metric.compute(predictions=predictions, references=references) | |
| >>> <span class="hljs-built_in">print</span>(results) | |
| {<span class="hljs-string">'accuracy'</span>: <span class="hljs-number">1.0</span>} | |
| ... | |
| >>> glue_metric = datasets.load_metric(<span class="hljs-string">'glue'</span>, <span class="hljs-string">'mrpc'</span>) <span class="hljs-comment"># 'mrpc' or 'qqp'</span> | |
| >>> references = [<span class="hljs-number">0</span>, <span class="hljs-number">1</span>] | |
| >>> predictions = [<span class="hljs-number">0</span>, <span class="hljs-number">1</span>] | |
| >>> results = glue_metric.compute(predictions=predictions, references=references) | |
| >>> <span class="hljs-built_in">print</span>(results) | |
| {<span class="hljs-string">'accuracy'</span>: <span class="hljs-number">1.0</span>, <span class="hljs-string">'f1'</span>: <span class="hljs-number">1.0</span>} | |
| ...<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-15sw7gd">Notice for the MRPC configuration, the metric expects the input format to be zero or one. For a complete list of attributes you can return with your metric, take a look at <a href="/docs/datasets/pr_6988/en/package_reference/main_classes#datasets.MetricInfo">MetricInfo</a>.</p> <h2 class="relative group"><a id="compute-metric" 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="#compute-metric"><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>Compute metric</span></h2> <p data-svelte-h="svelte-htgohw">Once you have loaded a metric, you are ready to use it to evaluate a models predictions. Provide the model predictions and references to <a href="/docs/datasets/pr_6988/en/package_reference/main_classes#datasets.Metric.compute">compute()</a>:</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>model_predictions = model(model_inputs) | |
| <span class="hljs-meta">>>> </span>final_score = metric.compute(predictions=model_predictions, references=gold_references)<!-- 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/metrics.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_8vew7s = { | |
| assets: "/docs/datasets/pr_6988/en", | |
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