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# OpenBookQA |
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### Paper |
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Title: `Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering` |
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Abstract: https://arxiv.org/abs/1809.02789 |
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OpenBookQA is a question-answering dataset modeled after open book exams for |
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assessing human understanding of a subject. It consists of 5,957 multiple-choice |
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elementary-level science questions (4,957 train, 500 dev, 500 test), which probe |
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the understanding of a small “book” of 1,326 core science facts and the application |
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of these facts to novel situations. For training, the dataset includes a mapping |
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from each question to the core science fact it was designed to probe. Answering |
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OpenBookQA questions requires additional broad common knowledge, not contained |
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in the book. The questions, by design, are answered incorrectly by both a retrieval- |
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based algorithm and a word co-occurrence algorithm. |
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Homepage: https://allenai.org/data/open-book-qa |
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### Citation |
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``` |
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@inproceedings{OpenBookQA2018, |
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title={Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering}, |
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author={Todor Mihaylov and Peter Clark and Tushar Khot and Ashish Sabharwal}, |
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booktitle={EMNLP}, |
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year={2018} |
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} |
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``` |
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### Groups and Tasks |
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#### Groups |
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* Not part of a group yet |
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#### Tasks |
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* `openbookqa` |
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### Checklist |
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For adding novel benchmarks/datasets to the library: |
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* [ ] Is the task an existing benchmark in the literature? |
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* [ ] Have you referenced the original paper that introduced the task? |
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* [ ] 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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If other tasks on this dataset are already supported: |
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* [ ] Is the "Main" variant of this task clearly denoted? |
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* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? |
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* [ ] Have you noted which, if any, published evaluation setups are matched by this variant? |
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