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README.md
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We additionally export a version [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique) for comparison. This is the same as [AdapTable(-full)](https://huggingface.co/datasets/MicPie/adaptable_full) but filtered to have a maximum of one task per website. AdapTable-unique contains exactly 23,744 tasks from 23,744 websites.
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### Supported Tasks and Leaderboards
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Since the tables come from the web, the distribution of tasks and topics is very broad. The shape of our dataset is very wide, i.e., we have 1000's tasks, while each task has only a few examples, compared to most current NLP datasets which are very deep, i.e., 10s of tasks with many examples. This implies that our dataset covers a broad range of potential tasks, e.g., multiple-choice, question-answering, table-question-answering, text-classification, etc.
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We additionally export a version [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique) for comparison. This is the same as [AdapTable(-full)](https://huggingface.co/datasets/MicPie/adaptable_full) but filtered to have a maximum of one task per website. AdapTable-unique contains exactly 23,744 tasks from 23,744 websites.
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There are further AdapTable data subsets available:
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[AdapTable-diverse](https://huggingface.co/datasets/MicPie/adaptable_diverse)
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[AdapTable-baseball.fantasysports.yahoo.com](https://huggingface.co/datasets/MicPie/adaptable_baseball.fantasysports.yahoo.com)
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[AdapTable-bulbapedia.bulbagarden.net](https://huggingface.co/datasets/MicPie/adaptable_bulbapedia.bulbagarden.net)
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[AdapTable-cappex.com](https://huggingface.co/datasets/MicPie/adaptable_cappex.com)
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[AdapTable-cram.com](https://huggingface.co/datasets/MicPie/adaptable_cram.com)
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[AdapTable-dividend.com](https://huggingface.co/datasets/MicPie/adaptable_dividend.com)
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[AdapTable-dummies.com](https://huggingface.co/datasets/MicPie/adaptable_dummies.com)
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[AdapTable-en.wikipedia.org](https://huggingface.co/datasets/MicPie/adaptable_en.wikipedia.org)
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[AdapTable-ensembl.org](https://huggingface.co/datasets/MicPie/adaptable_ensembl.org)
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[AdapTable-gamefaqs.com](https://huggingface.co/datasets/MicPie/adaptable_gamefaqs.com)
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[AdapTable-mgoblog.com](https://huggingface.co/datasets/MicPie/adaptable_mgoblog.com)
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[AdapTable-mmo-champion.com](https://huggingface.co/datasets/MicPie/adaptable_mmo-champion.com)
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[AdapTable-msdn.microsoft.com](https://huggingface.co/datasets/MicPie/adaptable_msdn.microsoft.com)
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[AdapTable-phonearena.com](https://huggingface.co/datasets/MicPie/adaptable_phonearena.com)
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[AdapTable-sittercity.com](https://huggingface.co/datasets/MicPie/adaptable_sittercity.com)
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[AdapTable-sporcle.com](https://huggingface.co/datasets/MicPie/adaptable_sporcle.com)
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[AdapTable-studystack.com](https://huggingface.co/datasets/MicPie/adaptable_studystack.com)
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[AdapTable-support.google.com](https://huggingface.co/datasets/MicPie/adaptable_support.google.com)
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[AdapTable-w3.org](https://huggingface.co/datasets/MicPie/adaptable_w3.org)
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[AdapTable-wiki.openmoko.org](https://huggingface.co/datasets/MicPie/adaptable_wiki.openmoko.org)
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[AdapTable-wkdu.org](https://huggingface.co/datasets/MicPie/adaptable_wkdu.org)
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### Supported Tasks and Leaderboards
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Since the tables come from the web, the distribution of tasks and topics is very broad. The shape of our dataset is very wide, i.e., we have 1000's tasks, while each task has only a few examples, compared to most current NLP datasets which are very deep, i.e., 10s of tasks with many examples. This implies that our dataset covers a broad range of potential tasks, e.g., multiple-choice, question-answering, table-question-answering, text-classification, etc.
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