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WebComplexQuestions - v1.1.0 - 2018-06-29 |
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This package contains ComplexWebQuestions, a dataset that contains a large set of complex questions in natural language. |
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(c) 2018. Alon Talmor, Tel-Aviv University. |
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LICENSE |
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The software is licensed under the full GPL v2+. Please see the file LICENCE.txt |
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For more information, bug reports, and fixes, contact: |
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Alon Talmor |
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alontalmor@mail.tau.ac.il |
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CONTACT |
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For questions about this distribution, please contact Tel-Aviv University NLP group |
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at alontalmor@mail.tau.ac.il. We provide assistance on a best-effort |
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basis. |
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QUESTION FILES |
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The dataset contains 34,689 examples divided into 27,734 train, 3,480 dev, 3,475 test. |
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each containing: |
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"ID”: The unique ID of the example; |
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"webqsp_ID": The original WebQuestionsSP ID from which the question was constructed; |
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"webqsp_question": The WebQuestionsSP Question from which the question was constructed; |
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"machine_question": The artificial complex question, before paraphrasing; |
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"question": The natural language complex question; |
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"sparql": Freebase SPARQL query for the question. Note that the SPARQL was constructed for the machine question, the actual question after paraphrasing |
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may differ from the SPARQL. |
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"compositionality_type": An estimation of the type of compositionally. {composition, conjunction, comparative, superlative}. The estimation has not been manually verified, |
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the question after paraphrasing may differ from this estimation. |
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"answers": a list of answers each containing answer: the actual answer; answer_id: the Freebase answer id; aliases: freebase extracted aliases for the answer. |
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"created": creation time |
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NOTE: test set does not contain “answer” field. For test evaluation please send email to |
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alontalmor@mail.tau.ac.il. |
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WEB SNIPPET FILES |
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The snippets files consist of 12,725,989 snippets each containing |
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PLEASE DON”T USE CHROME WHEN DOWNLOADING THESE FROM DROPBOX (THE UNZIP COULD FAIL) |
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"question_ID”: the ID of related question, containing at least 3 instances of the same ID (full question, split1, split2); |
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"question": The natural language complex question; |
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"web_query": Query sent to the search engine. |
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“split_source”: 'noisy supervision split' or ‘ptrnet split’, please train on examples containing “ptrnet split” when comparing to Split+Decomp from https://arxiv.org/abs/1807.09623 |
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“split_type”: 'full_question' or ‘split_part1' or ‘split_part2’ please use ‘composition_answer’ in question of type composition and split_type: “split_part1” when training a reading comprehension model on splits as in Split+Decomp from https://arxiv.org/abs/1807.09623 (in the rest of the cases use the original answer). |
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"web_snippets": ~100 web snippets per query. Each snippet includes Title,Snippet. They are ordered according to Google results. |
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With a total of |
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10,035,571 training set snippets |
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1,350,950 dev set snippets |
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1,339,468 test set snippets |
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CHANGES |
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2018-06-29 1.1 Second release |
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The Question file format remains the same, except that we added an additional field related to the answer of decomposed questions. Average number of snippets per question increased. See https://arxiv.org/abs/1807.09623 |
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2018-03-01 1.0 Initial release |
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