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Abinaya Mahendiran commited on
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Updated README

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  ### Dataset Summary
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  SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers
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  to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but
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  also determine when no answer is supported by the paragraph and abstain from answering.
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  ### Supported Tasks and Leaderboards
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  ### Languages
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  ### Licensing Information
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  ### Citation Information
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  ### Dataset Summary
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+ Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
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  SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers
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  to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but
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  also determine when no answer is supported by the paragraph and abstain from answering.
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  ### Supported Tasks and Leaderboards
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+ SQuAD2.0 tests the ability of a system to not only answer reading comprehension questions, but also abstain when presented with a question that cannot be answered based on the provided paragraph. Leaderboard is present on the [Homepage](https://rajpurkar.github.io/SQuAD-explorer/).
 
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  ### Languages
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  ### Licensing Information
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+ The dataset is distributed under the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode) license.
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  ### Citation Information
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