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# Trivia QA |
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### Paper |
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Title: `TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension` |
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Abstract: https://arxiv.org/abs/1705.03551 |
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TriviaQA is a reading comprehension dataset containing over 650K question-answer-evidence |
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triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts |
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and independently gathered evidence documents, six per question on average, that provide |
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high quality distant supervision for answering the questions. |
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Homepage: https://nlp.cs.washington.edu/triviaqa/ |
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### Citation |
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``` |
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@InProceedings{JoshiTriviaQA2017, |
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author = {Joshi, Mandar and Choi, Eunsol and Weld, Daniel S. and Zettlemoyer, Luke}, |
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title = {TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension}, |
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booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics}, |
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month = {July}, |
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year = {2017}, |
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address = {Vancouver, Canada}, |
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publisher = {Association for Computational Linguistics}, |
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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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* `triviaqa`: `Generate and answer based on the question.` |
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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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