text: 	<main class="flex flex-1 flex-col"><div class="SVELTE_HYDRATER contents" data-props="{&quot;activeTab&quot;:&quot;files&quot;,&quot;author&quot;:{&quot;avatarUrl&quot;:&quot;/avatars/8c7acc48ac3fc08237ca3e8d5e20e253.svg&quot;,&quot;fullname&quot;:&quot;changxin&quot;,&quot;name&quot;:&quot;changxin&quot;,&quot;type&quot;:&quot;user&quot;,&quot;isPro&quot;:false,&quot;isHf&quot;:false},&quot;canReadRepoSettings&quot;:false,&quot;dataset&quot;:{&quot;author&quot;:&quot;changxin&quot;,&quot;cardData&quot;:{&quot;type&quot;:&quot;test&quot;,&quot;annotations_creators&quot;:[&quot;expert-generated&quot;],&quot;language_creators&quot;:[&quot;found&quot;],&quot;language&quot;:[&quot;ch&quot;],&quot;license&quot;:&quot;afl-3.0&quot;,&quot;multilinguality&quot;:[&quot;monolingual&quot;],&quot;size_categories&quot;:[&quot;n<1K&quot;],&quot;source_datasets&quot;:[&quot;original&quot;],&quot;task_categories&quot;:[&quot;other-test&quot;],&quot;task_ids&quot;:[&quot;other-test&quot;],&quot;paperswithcode_id&quot;:&quot;ix&quot;,&quot;pretty_name&quot;:&quot;Test Dataset&quot;},&quot;cardError&quot;:{&quot;errors&quot;:[],&quot;warnings&quot;:[{&quot;message&quot;:&quot;The task_categories \&quot;other-test\&quot; is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, conversational, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, other&quot;},{&quot;message&quot;:&quot;The task_ids \&quot;other-test\&quot; is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-generation, dialogue-modeling, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering&quot;}]},&quot;cardExists&quot;:true,&quot;citation&quot;:&quot;\\&quot;,&quot;description&quot;:&quot;This is a test dataset.&quot;,&quot;downloads&quot;:0,&quot;downloadsAllTime&quot;:160,&quot;id&quot;:&quot;changxin/test_pq&quot;,&quot;isLikedByUser&quot;:false,&quot;isWatchedByUser&quot;:false,&quot;lastModified&quot;:&quot;2022-07-09T07:16:25.000Z&quot;,&quot;likes&quot;:0,&quot;paperswithcode_id&quot;:&quot;ix&quot;,&quot;viewer&quot;:&quot;viewer&quot;,&quot;discussionsDisabled&quot;:false,&quot;repoType&quot;:&quot;dataset&quot;,&quot;private&quot;:false,&quot;gated&quot;:false,&quot;tags&quot;:[&quot;annotations_creators:expert-generated&quot;,&quot;language_creators:found&quot;,&quot;multilinguality:monolingual&quot;,&quot;size_categories:n<1K&quot;,&quot;source_datasets:original&quot;,&quot;language:ch&quot;,&quot;license:afl-3.0&quot;,&quot;region:us&quot;],&quot;tag_objs&quot;:[{&quot;id&quot;:&quot;annotations_creators:expert-generated&quot;,&quot;label&quot;:&quot;expert-generated&quot;,&quot;type&quot;:&quot;annotations_creators&quot;},{&quot;id&quot;:&quot;language_creators:found&quot;,&quot;label&quot;:&quot;found&quot;,&quot;type&quot;:&quot;language_creators&quot;},{&quot;id&quot;:&quot;multilinguality:monolingual&quot;,&quot;label&quot;:&quot;monolingual&quot;,&quot;type&quot;:&quot;multilinguality&quot;},{&quot;id&quot;:&quot;size_categories:n<1K&quot;,&quot;label&quot;:&quot;n<1K&quot;,&quot;type&quot;:&quot;size_categories&quot;},{&quot;id&quot;:&quot;source_datasets:original&quot;,&quot;label&quot;:&quot;original&quot;,&quot;type&quot;:&quot;source_datasets&quot;},{&quot;id&quot;:&quot;language:ch&quot;,&quot;label&quot;:&quot;ch&quot;,&quot;type&quot;:&quot;language&quot;},{&quot;id&quot;:&quot;license:afl-3.0&quot;,&quot;label&quot;:&quot;afl-3.0&quot;,&quot;type&quot;:&quot;license&quot;},{&quot;type&quot;:&quot;region&quot;,&quot;label&quot;:&quot;🇺🇸 Region: US&quot;,&quot;id&quot;:&quot;region:us&quot;}]},&quot;discussionsStats&quot;:{&quot;closed&quot;:1,&quot;open&quot;:2,&quot;total&quot;:3},&quot;isLoggedIn&quot;:false}" data-target="DatasetHeader"><header class="from-gray-50-to-white border-b border-gray-100 bg-gradient-to-t via-white dark:via-gray-950 pt-6 sm:pt-9"><div class="container relative "><h1 class="flex flex-wrap items-center leading-tight mb-3 text-lg md:text-xl"><a href="/datasets" class="group flex items-center"><svg class="mr-1.5 text-gray-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 25 25"><ellipse cx="12.5" cy="5" fill="currentColor" fill-opacity="0.25" rx="7.5" ry="2"></ellipse><path d="M12.5 15C16.6421 15 20 14.1046 20 13V20C20 21.1046 16.6421 22 12.5 22C8.35786 22 5 21.1046 5 20V13C5 14.1046 8.35786 15 12.5 15Z" fill="currentColor" opacity="0.5"></path><path d="M12.5 7C16.6421 7 20 6.10457 20 5V11.5C20 12.6046 16.6421 13.5 12.5 13.5C8.35786 13.5 5 12.6046 5 11.5V5C5 6.10457 8.35786 7 12.5 7Z" fill="currentColor" opacity="0.5"></path><path d="M5.23628 12C5.08204 12.1598 5 12.8273 5 13C5 14.1046 8.35786 15 12.5 15C16.6421 15 20 14.1046 20 13C20 12.8273 19.918 12.1598 19.7637 12C18.9311 12.8626 15.9947 13.5 12.5 13.5C9.0053 13.5 6.06886 12.8626 5.23628 12Z" fill="currentColor"></path></svg>