BoolQ Dataset | Papers With Code

<!doctype html> <html lang="en"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <script> const GTAG_ENABLED = true ; const GTAG_TRACKING_ID = "UA-121182717-1"; const SENTRY_DSN_FRONTEND = "".trim(); const GLOBAL_CSRF_TOKEN = 'TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C'; const MEDIA_URL = "https://production-media.paperswithcode.com/"; const ASSETS_URL = "https://production-assets.paperswithcode.com"; run_after_frontend_loaded = window.run_after_frontend_loaded || []; </script> <link rel="preconnect" href="https://production-assets.paperswithcode.com"><link rel="dns-prefetch" href="https://production-assets.paperswithcode.com"><link rel="preload" as="font" type="font/woff2" href="https://production-assets.paperswithcode.com/perf/fonts/65e877e527022735c1a1.woff2" crossorigin><link rel="preload" as="font" type="font/woff2" href="https://production-assets.paperswithcode.com/perf/fonts/917632e36982ca7933c8.woff2" crossorigin><link rel="preload" as="font" type="font/woff2" href="https://production-assets.paperswithcode.com/perf/fonts/f1405bd8a987c2ea8a67.woff2" crossorigin><script>(()=>{if(GTAG_ENABLED){const t=document.createElement("script");function n(){window.dataLayer.push(arguments)}t.src=`https://www.googletagmanager.com/gtag/js?id=${GTAG_TRACKING_ID}`,document.head.appendChild(t),window.dataLayer=window.dataLayer||[],window.gtag=n,n("js",new Date),n("config",GTAG_TRACKING_ID),window.captureOutboundLink=function(t){n("event","click",{event_category:"outbound",event_label:t})}}else window.captureOutboundLink=function(n){document.location=n}})();</script><link rel="preload" as="script" href="https://production-assets.paperswithcode.com/perf/766.4af6b88b.js"><link rel="preload" as="script" href="https://production-assets.paperswithcode.com/perf/2.6da00df7.js"><link rel="preload" as="script" href="https://production-assets.paperswithcode.com/perf/814.49dcf06c.js"><link rel="preload" as="style" href="https://production-assets.paperswithcode.com/perf/918.c41196c3.css"><link rel="preload" as="style" href="https://production-assets.paperswithcode.com/perf/view_dataset.b56df998.css"><link rel="preload" as="script" href="https://production-assets.paperswithcode.com/perf/view_dataset.22fdaf24.js"><link rel="stylesheet" href="https://production-assets.paperswithcode.com/perf/918.c41196c3.css"><link rel="stylesheet" href="https://production-assets.paperswithcode.com/perf/view_dataset.b56df998.css">  <title>BoolQ Dataset | Papers With Code</title> <meta name="description" content="BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context. Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable” if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question’s answer is “yes” or “no”. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document." />  <meta property="og:title" content="Papers with Code - BoolQ Dataset"> <meta property="og:description" content="BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context. Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable” if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question’s answer is “yes” or “no”. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document."> <meta property="og:image" content="https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg"> <meta property="og:url" content="https://paperswithcode.com/dataset/boolq">  <meta name="twitter:card" content="summary_large_image"> <meta name="twitter:site" content="@paperswithcode"> <meta name="twitter:title" content="Papers with Code - BoolQ Dataset"> <meta name="twitter:description" content="BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context. Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable” if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question’s answer is “yes” or “no”. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document."> <meta name="twitter:creator" content="@paperswithcode"> <meta name="twitter:url" content="https://paperswithcode.com/dataset/boolq"> <meta name="twitter:domain" content="paperswithcode.com">  <script type="application/ld+json">{ "@context": "http://schema.org", "@graph": { "@type": "Dataset", "@id": "boolq", "name": "BoolQ Dataset", "alternateName": "Boolean Questions", "description": "BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring \u2013 they are generated in unprompted and unconstrained settings.\nEach example is a triplet of (question, passage, answer), with the title of the page as optional additional context.\n\nQuestions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as \u201cnot answerable\u201d if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question\u2019s answer is \u201cyes\u201d or \u201cno\u201d. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document.", "url": "https://paperswithcode.com/dataset/boolq", "image": "https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg", "headline": "BoolQ Dataset", "author": [ { "@type": "Person", "@id": "#Christopher_Clark", "name": "Christopher Clark", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Kenton_Lee", "name": "Kenton Lee", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Ming-Wei_Chang", "name": "Ming-Wei Chang", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Tom_Kwiatkowski", "name": "Tom Kwiatkowski", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Michael_Collins", "name": "Michael Collins", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": 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name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_name" class="form-group"> <label for="id_name" class=" requiredField"> Dataset name:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="name" value="BoolQ" class="textinput textInput form-control" required id="id_name"> </div> </div> <div id="div_id_full_name" class="form-group"> <label for="id_full_name" class=""> Full name (optional): </label> <div class=""> <input type="text" name="full_name" value="Boolean Questions" class="textinput textInput form-control" id="id_full_name"> </div> </div> <div id="div_id_description" class="form-group"> <label for="id_description" class=" requiredField"> Description (Markdown and $\LaTeX$ enabled):<span class="asteriskField">*</span> </label> <div class=""> <textarea name="description" cols="40" rows="6" placeholder="Briefly describe the dataset. Provide: * a high-level explanation of the dataset characteristics * explain motivations and summary of its content * potential use cases of the dataset If the description or image is from a different paper, please refer to it as follows: Source: [title](url) Image Source: [title](url) " class="md-sources-autocomplete textarea form-control" required id="id_description"> **BoolQ** is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context. Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable” if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question’s answer is “yes” or “no”. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document. Source: [https://github.com/google-research-datasets/boolean-questions](https://github.com/google-research-datasets/boolean-questions) Image Source: [BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://paperswithcode.com/paper/boolq-exploring-the-surprising-difficulty-of/)</textarea> </div> </div> <div id="div_id_url" class="form-group"> <label for="id_url" class=""> Homepage URL (optional): </label> <div class=""> <input type="text" name="url" value="https://github.com/google-research-datasets/boolean-questions" class="textinput textInput form-control" id="id_url"> </div> </div> <div id="div_id_paper" class="form-group"> <label for="id_paper" class=""> Paper where the dataset was introduced: </label> <div class=""> <select name="paper" style="width: 350px" class="modelselect2 form-control custom-select" id="id_paper" data-autocomplete-light-language="en" data-autocomplete-light-url="/sota/autocomplete/paper" data-autocomplete-light-function="select2"> <option value="">---------</option> <option value="116998" selected>BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_paper"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "all_portals"}]</script></div> </div> </div> <div id="div_id_introduced_date" class="form-group"> <label for="id_introduced_date" class=""> Introduction date: </label> <div class=""> <input type="text" name="introduced_date" value="2019-01-01" autocomplete="off" class="dateinput form-control" id="id_introduced_date"> </div> </div> <div id="div_id_license_name" class="form-group"> <label for="id_license_name" class=""> Dataset license: </label> <div class=""> <input type="text" name="license_name" value="CC BY-SA 3.0" maxlength="500" class="textinput textInput form-control" id="id_license_name"> </div> </div> <div id="div_id_license_url" class="form-group"> <label 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data-autocomplete-light-function="select2" multiple> <option value="3323" selected>Classification</option> <option value="4767" selected>parameter-efficient fine-tuning</option> <option value="9" selected>Question Answering</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_tasks"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <p> Some tasks are inferred based on the benchmarks list. </p> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-tasks"> Save </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="addLoader" role="dialog" aria-labelledby="addLoaderLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addLoaderLabel">Add a Data Loader</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_library_url" class="form-group"> <label for="id_library_url" class=" requiredField"> Code Repository URL:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="library_url" class="textinput textInput form-control" required id="id_library_url"> </div> </div> <div id="div_id_loader_url" class="form-group"> <label for="id_loader_url" class=""> [Optional] URL to documentation for this dataset: </label> <div class=""> <input type="url" name="loader_url" class="urlinput form-control" id="id_loader_url"> </div> </div> <div id="div_id_frameworks" class="form-group"> <label class=""> Supported frameworks: </label> <div > <div class="form-check"> <input type="checkbox" class="form-check-input" name="frameworks" value="tf" id="id_frameworks_0" > <label class="form-check-label" for="id_frameworks_0"> TensorFlow </label> </div> <div class="form-check"> <input type="checkbox" class="form-check-input" name="frameworks" value="pytorch" id="id_frameworks_1" > <label class="form-check-label" for="id_frameworks_1"> PyTorch </label> </div> <div class="form-check"> <input type="checkbox" class="form-check-input" name="frameworks" value="jax" id="id_frameworks_2" > <label class="form-check-label" for="id_frameworks_2"> JAX </label> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="add-loader"> Submit </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="removeLoader" tabindex="-1" role="dialog" aria-labelledby="removeLoaderLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeLoaderLabel">Remove a Data Loader</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://huggingface.co/datasets/d0rj/boolq-ru"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> huggingface/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="4070"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://huggingface.co/datasets/boolq"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> huggingface/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="278"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://huggingface.co/datasets/1-800-SHARED-TASKS/boolq-TrueFalse-Instruct"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> huggingface/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="5206"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://huggingface.co/datasets/Hindi-Gemma/boolq-TrueFalse-Instruct"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> huggingface/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="5243"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://huggingface.co/datasets/google/boolq"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> huggingface/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="4327"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://www.tensorflow.org/datasets/catalog/bool_q"> <span class=" icon-wrapper icon-ion" data-name="document-text-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120m-232 80h160m-160 80h160" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> tensorflow/datasets </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="277"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled"> <form action="" method="post"> <li> <a href="https://github.com/google-research-datasets/boolean-questions"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> google-research-datasets/boolean-questions </a> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <input type="hidden" name="remove_loader_pk" value="279"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> </div> </form> </div> </div> </div>  <div class="modal fade" id="editCollections" role="dialog" aria-labelledby="editCollectionsLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="editCollectionsLabel">Edit Dataset Modalities</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_modalities" class="form-group"> <label for="id_modalities" class=""> Add or remove modalities: </label> <div class=""> <select name="modalities" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_modalities" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-collection-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="6" selected>Texts</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_modalities"><script type="text/dal-forward-conf">[{"type": "const", "val": "Modalities", "dst": "area_name"}]</script></div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-modalities"> Save </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="editLanguages" role="dialog" aria-labelledby="editLanguagesLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="editLanguagesLabel">Edit Dataset Languages</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_languages" class="form-group"> <label for="id_languages" class=""> Add or remove languages: </label> <div class=""> <select name="languages" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_languages" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-collection-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="7" selected>English</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_languages"><script type="text/dal-forward-conf">[{"type": "const", "val": "Languages", "dst": "area_name"}]</script></div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-languages"> Save </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="editVariants" role="dialog" aria-labelledby="editVariantsLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="editVariantsLabel">Edit Dataset Variants</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_variants" class="form-group"> <label for="id_variants" class=""> Add or remove variants: </label> <div class=""> <select name="variants" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_variants" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="1329" selected>BoolQ</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_variants"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <p> The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset. </p> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-variants"> Save </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="addRow" role="dialog" aria-labelledby="addRowLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addRowLabel">Add a new evaluation result row</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <input type="hidden" name="csrfmiddlewaretoken" value="TGtBesOOSHsNysegNoasxBoQ254XaEwtc226MgW37b9RvgTCcjbCD0Nw0hMvYP8C"> <div id="div_id_paper" class="form-group"> <label for="id_paper_add_row" class=" requiredField"> Paper title:<span class="asteriskField">*</span> </label> <div class=""> <select name="paper" id="id_paper_add_row" class="modelselect2 form-control" required data-autocomplete-light-language="en" data-autocomplete-light-url="/paper-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_dataset" class="form-group"> <label for="id_dataset" class=" requiredField"> Dataset or its variant:<span class="asteriskField">*</span> </label> <div class=""> <select name="dataset" class="modelselect2 form-control" required id="id_dataset" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2"> <option value="">---------</option> <option value="1329" selected>BoolQ</option> </select> </div> </div> <div id="div_id_task" class="form-group"> <label for="id_task" class=" requiredField"> Task:<span class="asteriskField">*</span> </label> <div class=""> <select name="task" class="modelselect2 form-control" required id="id_task" data-autocomplete-light-language="en" data-autocomplete-light-url="/task-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_model_name" class="form-group"> <label for="id_model_name" class=" requiredField"> Model name:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="model_name" class="textinput textInput form-control" required id="id_model_name"> </div> </div> <div id="div_id_metric" class="form-group"> <label for="id_metric" class=" requiredField"> Metric name:<span class="asteriskField">*</span> </label> <div class=""> <select name="metric" class="modelselect2 form-control" required id="id_metric" data-autocomplete-light-language="en" data-autocomplete-light-url="/metric-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="sota-metric-names"> </div> <div class="form-group"> <div id="div_id_metric_higher_is_better" class="form-check"> <input type="checkbox" name="metric_higher_is_better" class="checkboxinput form-check-input" id="id_metric_higher_is_better"> <label for="id_metric_higher_is_better" class="form-check-label"> Higher is better (for the metric) </label> </div> </div> <div id="div_id_metric_value" class="form-group"> <label for="id_metric_value" class=" requiredField"> Metric value:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="metric_value" class="textinput textInput form-control" required id="id_metric_value"> </div> </div> <div id="sota-metric-values"> </div> <div class="form-group"> <div id="div_id_uses_additional_data" class="form-check"> <input type="checkbox" name="uses_additional_data" class="checkboxinput form-check-input" id="id_uses_additional_data"> <label for="id_uses_additional_data" class="form-check-label"> Uses extra training data </label> </div> </div> <div id="div_id_evaluated_on" class="form-group"> <label for="id_evaluated_on" class=""> Data evaluated on </label> <div class=""> <input type="text" name="evaluated_on" autocomplete="off" class="dateinput form-control" id="id_evaluated_on"> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="add-row">Submit </button> </div> </form> </div> </div> </div> <div class="container content content-buffer "> <div class="mobile-width"> <div class="dataset-header"> <a href="/datasets?mod=texts"> <span class="badge badge-primary"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="font-case"><svg viewBox="0 0 640 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M229.88 87.688l121.28 341.2c.462 1.372.838 3.661.838 5.11 0 8.83-7.167 15.999-15.998 16h-50.62c-6.343-.001-13.134-4.88-15.16-10.89l-19.07-53.11h-150.3l-19.07 53.11c-2.026 6.01-8.817 10.889-15.16 10.89H16c-8.825-.007-15.989-7.175-15.989-16 0-1.448.376-3.738.838-5.11l121.271-341.2c4.075-11.973 17.647-21.69 30.294-21.69h47.172c12.648 0 26.22 9.717 30.294 21.69zm-100.3 218.31h92.84L176 176.738zm494.42-144c8.832 0 16 7.168 16 16v256c0 8.832-7.168 16-16 16h-32c-8.832 0-16-7.168-16-16v-1.81c-18.9 11.03-40.58 17.81-64 17.81-70.58-.077-127.923-57.42-128-128v-32c.077-70.579 57.42-127.923 128-128 23.42 0 45.1 6.81 64 17.81v-1.81c0-8.832 7.168-16 16-16h32zm-64 160v-32c0-26.496-21.504-48-48-48s-48 21.504-48 48v32c0 26.496 21.504 48 48 48s48-21.504 48-48z"/></svg></span> <span>Texts</span> </span> </a> </div> <div class="dataset-title mb-3"> <div class="row"> <div class="col-md-12"> <div class="float-right dataset-edit"> <div class="dropdown edit-button"> <a data-bs-toggle="modal" data-bs-target="#loginModal"> <span class="badge badge-method-edit" style="padding-top:10px;"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit</span> </a> </div> </div> <h1 > BoolQ (Boolean Questions) </h1> <span class="dataset-subtitle">Introduced by Clark et al. in <a href="/paper/boolq-exploring-the-surprising-difficulty-of">BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions</a></span> </div> </div> </div> <div class="d-md-none mb-3"> <a href="https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg" data-lightbox="imageresource-mobile"> <img id="imageresource-mobile" class="d-md-none" src="https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg"> </a> </div> <div class="dataset-content"> <div class="row"> <div class="col-md-9 description"> <div class="description-content"> <p><strong>BoolQ</strong> is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context.</p> <p>Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified and questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing. Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable” if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question’s answer is “yes” or “no”. Only questions that were marked as having a yes/no answer are used, and each question is paired with the selected passage instead of the entire document.</p> <span class="description-source"> Source: <a href="https://github.com/google-research-datasets/boolean-questions"><span class=" icon-wrapper icon-ion" data-name="document-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> https://github.com/google-research-datasets/boolean-questions</a> </span> </div> <div class="context"> <div class="row"> <div class="col-md-12"> <a href="https://github.com/google-research-datasets/boolean-questions" onclick="captureOutboundLink('https://github.com/google-research-datasets/boolean-questions'); return true;" class="btn btn-primary-outline dataset-homepage"> Homepage </a> </div> </div> </div> <div id="benchmarks" class="collapsed"> <h4>Benchmarks <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" type="button" id="evalEditMenu" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> <div class="dropdown-menu dropdown-menu-end" aria-labelledby="evalEditMenu"> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add a new result</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="create-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M384 224v184a40 40 0 0 1-40 40H104a40 40 0 0 1-40-40V168a40 40 0 0 1 40-40h167.48" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/><path d="M459.94 53.25a16.06 16.06 0 0 0-23.22-.56L424.35 65a8 8 0 0 0 0 11.31l11.34 11.32a8 8 0 0 0 11.34 0l12.06-12c6.1-6.09 6.67-16.01.85-22.38zM399.34 90L218.82 270.2a9 9 0 0 0-2.31 3.93L208.16 299a3.91 3.91 0 0 0 4.86 4.86l24.85-8.35a9 9 0 0 0 3.93-2.31L422 112.66a9 9 0 0 0 0-12.66l-9.95-10a9 9 0 0 0-12.71 0z"/></svg></span> Link an existing benchmark</a> </div> </div> </div> </h4> <hr> <div class="sota-table-preview"> <table id="benchmarks-table" class="table-striped"> <thead> <tr> <th>Trend</th> <th>Task</th> <th>Dataset Variant</th> <th>Best Model</th> <th>Paper</th> <th>Code</th> </tr> </thead> <tbody> <tr onclick="window.location='/sota/question-answering-on-boolq';"> <td> <a href="/sota/question-answering-on-boolq"> <img class="sota-thumb" src="https://production-media.paperswithcode.com/sota-thumbs/question-answering-on-boolq-small_932945d9.png"/> </a> </td> <td> <div class="task black-links"> <a style="font-weight: 600;" href="/sota/question-answering-on-boolq"> Question Answering </a> </div> </td> <td> <div style="font-weight: 500;"> BoolQ </div> </td> <td> <div class="method-name" style="font-weight: 500;"> Gemma-7B </div> </td> <td> <div class="text-center paper"> <a href="/paper/hierarchical-prompting-taxonomy-a-universal"> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> </a> </div> </td> <td> <div class="text-center github"><a href="/paper/hierarchical-prompting-taxonomy-a-universal#code"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> </a></div> </td> </tr> <tr onclick="window.location='/sota/parameter-efficient-fine-tuning-on-boolq';"> <td> <a href="/sota/parameter-efficient-fine-tuning-on-boolq"> <img class="sota-thumb" src="https://production-media.paperswithcode.com/sota-thumbs/parameter-efficient-fine-tuning-on-boolq-small_306b3113.png"/> </a> </td> <td> <div class="task black-links"> <a style="font-weight: 600;" href="/sota/parameter-efficient-fine-tuning-on-boolq"> parameter-efficient fine-tuning </a> </div> </td> <td> <div style="font-weight: 500;"> BoolQ </div> </td> <td> <div class="method-name" style="font-weight: 500;"> LLaMA2-7b </div> </td> <td> <div class="text-center paper"> <a href="/paper/qlora-efficient-finetuning-of-quantized-llms"> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> </a> </div> </td> <td> <div class="text-center github"><a href="/paper/qlora-efficient-finetuning-of-quantized-llms#code"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> </a></div> </td> </tr> <tr onclick="window.location='/sota/classification-on-boolq';"> <td> <a href="/sota/classification-on-boolq"> <img class="sota-thumb" src="https://production-media.paperswithcode.com/sota-thumbs/classification-on-boolq-small_82466202.png"/> </a> </td> <td> <div class="task black-links"> <a style="font-weight: 600;" href="/sota/classification-on-boolq"> Classification </a> </div> </td> <td> <div style="font-weight: 500;"> BoolQ </div> </td> <td> <div class="method-name" style="font-weight: 500;"> OPT-1.3B </div> </td> <td> <div class="text-center paper"> <a href="/paper/achieving-dimension-free-communication-in"> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> </a> </div> </td> <td> <div class="text-center github"><a href="/paper/achieving-dimension-free-communication-in#code"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> </a></div> </td> </tr> </tbody> </table> </div> </div> <div id="papers" class="dataset-papers"> <h4 style="margin-bottom: 0.5rem">Papers</h4> <hr> <div class="sota-table-preview papers-datatable-component"> <table style="width: 100% !important;" id="datatable-papers" class="table-striped table-responsive"> <thead style="width: 100% !important;"> <tr> <th style="text-left"><span>Paper</span></th> <th class="text-center"><span>Code</span></th> <th class="text-center"><span>Results</span></th> <th class="text-right"><span>Date</span></th> <th class="text-center"><span>Stars</span></th> </tr> </thead> </table> </div> <script> const DATATABLE_PAPERS_FILTER_NAME = 'paperdataset__dataset_id'; const DATATABLE_PAPERS_FILTER_VALUE = '1329'; </script> </div> <div class="dataloader-container"> <div> <h4> Dataset Loaders <div class="float-right"> <div class="dropdown edit-button" style="position: relative; top: -5px"> <button class="dropdown-toggle badge badge-edit" type="button" id="loaderEditMenu" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> <div class="dropdown-menu dropdown-menu-end" aria-labelledby="loaderEditMenu"> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="remove"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M400 256H112"/></svg></span> Remove</a> </div> </div> </h4> <hr> </div> <div class="row"> <div class="col-md-12"> <ul class="dataloader-implementations"> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://huggingface.co/datasets/d0rj/boolq-ru" onclick="captureOutboundLink('https://huggingface.co/datasets/d0rj/boolq-ru'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" 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/> </div> huggingface/datasets (boolq-ru) </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19,636 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAF8AAABYCAMAAACkl9t/AAAATlBMVEVHcEz/rQT/0h7///////////////////////////86O0X/wRL/uyn/1En/xkX/1C/tTk7/3JX/68L/zmv/9d+FdDazkS9jUUDXryi7TErld6/zAAAACnRSTlMA////nH7hLL1bUJIRMwAABVpJREFUaN69Wtd66yAMrokXYdU7ef8XPTaIPWK7+Y4u2jTALzQBqT8/p6jDTd23bft4tI+2rxvc/XyPcL3jhtTW3+GB+0eW+uaP4F0NSPM4TJzSaidK+TSMmkXd/R19mCSwT3yYQYi7HBT6OFU5osDilgxY2nSgVZEmxQFfhu8DdMoZE0IgJARjnNsBPt9QUndsfqQWG4UkGDcyXBahOTxG6z0BDiyMFNKb6kuG1ZvnAhWIUUeE/gL8cAbd4UDn0wwOyyrdUIZOELc66k/uXi3h6BwJeoFBY+AZOkuCGwafjIw1PBXoAlkG5YzXad1fg9/NLBnMn+KgBc+5Cg8MDi9qu6Jtx3vwoCJeNMGunVn6wg14YDCUNNSC8hm6RRRM0OZdc7zi95GbftDQvv1jCxTdJaY11GW2P/xBO1pDNCcAbJ/fh1caygiAYfuB77yWbVlTWMkBDgI0ybSZ2P76PGh7RfDpAS1Am/L9Md6+Qtlx0vDxAAcX6hLWneLtbwDzDDWRGxAQA3XCurHzvDTKc0HnBqQLHRaO1TPEvm9htpMDMgZorCCcVA/KbjM7oBXURJmTJmJrkSpel2foQLtzvuTgC6UV1Ifqnw/GkZNvCQTXyEsyjU6RAZR3xqmHpoNLS7Gmk1BkADDvX3KDZ4DwFMiY9xalDNyoWwP7Bj5VN4k6wKd3z8WUgYcAv/4+fh/gV/8BP71gTUfAa/0O/p6Ktxhq3eKkek8/MtUHHNYtlbTz+CX/0UfJ8jInY+ZQyPtPk05vQS5+bsuybPbP12n/xyq+0vH7zFE+vsL47Ur5YcnAL/n8EN1CdX4jxyjJKsijUD1qrUgeYK26PRB40AIHQrzDfJMftuBkhEl6KYUbRHT78eoKRC8gVoD37++mf+rtE382UHQDOuoB3GfginJYYPs9SP16a+2TcLZ5q7Y4eDTqJzVYyBNlZ6DgNb19eDtTfXj4z/lGlnm41bxZoDmi5e3h/y7GVYzNKsORTtPxlGydN+lUeZb1RJFfrR78ak3qznYkmqwErQPvTiMOxMFBi/BeHU/3ZruqnXQMYLjZRgIQ74OMhIN8f/cYeQYZQYBabZ8yZtUtlwQgKviDQCV6jv3qQKLOJai3uY14GgokQalwjefKJOxegno3d3oypwRIbB+5aiLRJasH/YiIQVEAT1TfCqpiMwG+KQqwyCsKDGLtWHhV0xpB/60JXWaXwgISuF+QK1OzdS1Flwpc93REcN2iik1QuXYiLjyjvoPWuqDkimCCC6UZeI7sThXMJGl459mHl6yYUi1/pI0qCa+/IdawR8GUmVPs4VxNlGw5Xyfpv8L6APNv6Q/v6iA5kFIw5T2WOBbUAYBt0UfYEVKKplzEEbtLZQUVAHvyn8F5hK42ZjZHfP+NZmgASGSzDIDGuP/OXvEXIpMOwk/+w0itYsw/hXt4ugg5kC8Jf8S39mNMKkj5p5PeRInDGXyF7ifQ3r0aSg738a2b2DpKDfrn2jjp/Qf2Jen9WxcxZQ5sC9riw6sTofKJgJCXI+CEb3VVtcRBFewV0arEANBVxwHD9WTmptkismdhfO0qdH24bWjUzu0tzSLZ+iKFlpLUvSl1SwbzUPnNLrOK5Zpr3iSnJVapvp6tpGPoM/rNOko5tDRltM/joGicnRPJmwNdw7gv2UETdp4y/UA6+53ZOTcPGob+/dnhsF90aaKRGfd+E51JOum2bdsUer07D7cjq1f1HcbNThh3ONoJdVrCjx6f6lXP405GL03Un4znqK13xT5+uh0e9Ueb5LQyuJai6dugld+daMz3Vxr+3fEPCQc1pX9F2CfJWYdNMlP+AZcSahBQ0aOuAAAAAElFTkSuQmCC" /> </div> huggingface/datasets (boolq) </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19,636 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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/> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/jax-6ee30fa5.png" /> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://huggingface.co/datasets/1-800-SHARED-TASKS/boolq-TrueFalse-Instruct" onclick="captureOutboundLink('https://huggingface.co/datasets/1-800-SHARED-TASKS/boolq-TrueFalse-Instruct'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" src="data:image/png;base64,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" /> </div> huggingface/datasets (boolq-TrueFalse-Instruct) </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19,636 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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/> <img class="" 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/> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/jax-6ee30fa5.png" /> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://huggingface.co/datasets/Hindi-Gemma/boolq-TrueFalse-Instruct" onclick="captureOutboundLink('https://huggingface.co/datasets/Hindi-Gemma/boolq-TrueFalse-Instruct'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" src="data:image/png;base64,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" /> </div> huggingface/datasets (boolq-TrueFalse-Instruct) </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19,636 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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/> <img class="" 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/> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/jax-6ee30fa5.png" /> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://huggingface.co/datasets/google/boolq" onclick="captureOutboundLink('https://huggingface.co/datasets/google/boolq'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" 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/> </div> huggingface/datasets (boolq) </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19,636 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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/> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/jax-6ee30fa5.png" /> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://www.tensorflow.org/datasets/catalog/bool_q" onclick="captureOutboundLink('https://www.tensorflow.org/datasets/catalog/bool_q'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" src="data:image/png;base64,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" /> </div> tensorflow/datasets </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 4,360 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" 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/> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/jax-6ee30fa5.png" /> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://github.com/google-research-datasets/boolean-questions" onclick="captureOutboundLink('https://github.com/google-research-datasets/boolean-questions'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <span class="img-icon-github"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> </span> </div> google-research-datasets/boolean-questions </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 158 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> </div> </div> </div> </ul> </div> </div> </div> <div class="collections"> <h4> Tasks <div class="float-right"> <div class="dropdown edit-button" style="position: relative; top: -5px"> <button class="badge badge-edit" type="button" data-bs-target="#loginModal" data-bs-toggle="modal" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> </div> </h4> <hr> </div> <div class="row"> <div class="col-md-12"> <ul class="list-unstyled"> <li> <a href="/task/classification-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/d0eafcb3-1a12-430b-8bb5-6f6bbff1a4b3.jpg"> <span>Classification</span> </span> </a> </li> <li> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> </li> <li> <a href="/task/parameter-efficient-fine-tuning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>parameter-efficient fine-tuning</span> </span> </a> </li> </ul> </div> </div> <div class="dataset-similar"> <h4> Similar Datasets </h4> <hr> </div> <div class="row"> <div class="col dataset-similar"> <div class="row"> <div class="col-md-12 featured-dataset"> <div class="card-deck card-break" style="margin-bottom:20px;"> <div class="card" style="min-height:120px"> <a href="/dataset/openbookqa"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-image: url(https://production-media.paperswithcode.com/datasets/OpenBookQA-0000002426-0fb76b92_C0D71QL.jpg);"> </div> </div> </div> <div class=row"> <h1>OpenBookQA</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/winogrande"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-image: url(https://production-media.paperswithcode.com/datasets/Screen_Shot_2021-02-01_at_5.05.39_PM.png);"> </div> </div> </div> <div class=row"> <h1>WinoGrande</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/piqa"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-image: url(https://production-media.paperswithcode.com/datasets/Screen_Shot_2021-03-16_at_2.10.51_PM.png);"> </div> </div> </div> <div class=row"> <h1>PIQA</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/hellaswag"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-image: url(https://production-media.paperswithcode.com/datasets/Screenshot_2021-01-28_at_16.30.44.png);"> </div> </div> </div> <div class=row"> <h1>HellaSwag</h1> </div> </a> </div> </div> </div> </div> </div> </div> </div> <div class="col-md-3 dataset-infobox"> <div class="mb-3 d-none d-md-block"> <a href="https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg" data-lightbox="imageresource"> <img id="imageresource" width=100% src="https://production-media.paperswithcode.com/datasets/BoolQ-0000001329-5f81a5d7_CwfNA8f.jpg"> </a> <div class="text-muted text-truncate media-credit"> Source: <a href="https://paperswithcode.com/paper/boolq-exploring-the-surprising-difficulty-of/" title="BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions">BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions</a>. </div> </div> <div id="trends"> <h4>Usage <span data-bs-toggle="tooltip" data-bs-placement="top" data-bs-trigger="hover" title="Approximate number of open-access papers mentioning the dataset in the last five years." style="font-size: 16px; vertical-align: text-bottom; color: #444;" > <span class=" icon-wrapper icon-ion" data-name="flask-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-miterlimit="10" stroke-width="32" d="M176 48h160M118 304h276M208 48v93.48a64.09 64.09 0 0 1-9.88 34.18L73.21 373.49C48.4 412.78 76.63 464 123.08 464h265.84c46.45 0 74.68-51.22 49.87-90.51L313.87 175.66a64.09 64.09 0 0 1-9.87-34.18V48"/></svg></span> 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"2022-01-01", "prop": 51}, {"time": "2023-01-01", "prop": 151}, {"time": "2024-01-01", "prop": 261}, {"time": "2025-01-01", "prop": 31}]}, {"name": "OpenBookQA", "data": [{"time": "2021-01-01", "prop": 32}, {"time": "2022-01-01", "prop": 61}, {"time": "2023-01-01", "prop": 128}, {"time": "2024-01-01", "prop": 243}, {"time": "2025-01-01", "prop": 36}]}, {"name": "WinoGrande", "data": [{"time": "2021-01-01", "prop": 29}, {"time": "2022-01-01", "prop": 44}, {"time": "2023-01-01", "prop": 116}, {"time": "2024-01-01", "prop": 336}, {"time": "2025-01-01", "prop": 30}]}, {"name": "PIQA", "data": [{"time": "2021-01-01", "prop": 29}, {"time": "2022-01-01", "prop": 46}, {"time": "2023-01-01", "prop": 142}, {"time": "2024-01-01", "prop": 364}, {"time": "2025-01-01", "prop": 44}]}]</script> <script>const HAS_TIME_SERIES_DATA = true;</script> <script>const SHOW_EDIT_DATASET_MODAL = false;</script> <script>const SHOW_ADD_LOADERS_MODAL = false;</script> <script>const TASK_DATASET_METRIC_URL = 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