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Paper

Title: Know What You Don’t Know: Unanswerable Questions for SQuAD Abstract: https://arxiv.org/abs/1806.03822

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. SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported by the paragraph and abstain from answering.

Homepage: https://rajpurkar.github.io/SQuAD-explorer/

Citation

@misc{rajpurkar2018know,
    title={Know What You Don't Know: Unanswerable Questions for SQuAD},
    author={Pranav Rajpurkar and Robin Jia and Percy Liang},
    year={2018},
    eprint={1806.03822},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

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Checklist

For adding novel benchmarks/datasets to the library:

  • Is the task an existing benchmark in the literature?
    • Have you referenced the original paper that introduced the task?
    • If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?

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  • Is the "Main" variant of this task clearly denoted?
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