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# QASPER |
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### Paper |
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Title: `A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers` |
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Abstract: https://arxiv.org/abs/2105.03011 |
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QASPER is a dataset of 5,049 questions over 1,585 Natural Language Processing papers. |
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Each question is written by an NLP practitioner who read only the title and abstract |
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of the corresponding paper, and the question seeks information present in the full |
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text. The questions are then answered by a separate set of NLP practitioners who also |
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provide supporting evidence to answers. |
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Homepage: https://allenai.org/data/qasper |
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### Citation |
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``` |
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@article{DBLP:journals/corr/abs-2105-03011, |
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author = {Pradeep Dasigi and |
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Kyle Lo and |
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Iz Beltagy and |
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Arman Cohan and |
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Noah A. Smith and |
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Matt Gardner}, |
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title = {A Dataset of Information-Seeking Questions and Answers Anchored in |
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Research Papers}, |
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journal = {CoRR}, |
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volume = {abs/2105.03011}, |
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year = {2021}, |
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url = {https://arxiv.org/abs/2105.03011}, |
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eprinttype = {arXiv}, |
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eprint = {2105.03011}, |
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timestamp = {Fri, 14 May 2021 12:13:30 +0200}, |
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biburl = {https://dblp.org/rec/journals/corr/abs-2105-03011.bib}, |
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bibsource = {dblp computer science bibliography, https://dblp.org} |
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} |
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``` |
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### Groups and Tasks |
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#### Groups |
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* `qasper`: executes both `qasper_bool` and `qasper_freeform` |
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#### Tasks |
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* `qasper_bool`: Multiple choice task that evaluates the task with `answer_type="bool"` |
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* `qasper_freeform`: Greedy generation task that evaluates the samples from the task with `answer_type="free form answer"` |
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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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