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  license: apache-2.0
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  source: https://github.com/KGQA/KGQA-datasets
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  source: https://github.com/KGQA/KGQA-datasets
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  ---
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+
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+ # Dataset Card for Dataset Name
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://www.tau-nlp.sites.tau.ac.il/compwebq
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+ - **Repository:** https://github.com/alontalmor/WebAsKB
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+ - **Paper:** https://arxiv.org/abs/1803.06643
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+ - **Leaderboard:** https://www.tau-nlp.sites.tau.ac.il/compwebq-leaderboard
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+ - **Point of Contact:** [email protected].
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+
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+ ### Dataset Summary
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+
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+ **A dataset for answering complex questions that require reasoning over multiple web snippets**
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+
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+ ComplexWebQuestions is a new dataset that contains a large set of complex questions in natural language, and can be used in multiple ways:
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+
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+ - By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018);
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+ - As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model;
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+ - As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ - English
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+
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+ ## Dataset Structure
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+
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+ QUESTION FILES
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+
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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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+
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+ ```
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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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+ ```
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+
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+ ### Source Data
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+
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+ The original files can be found at this [dropbox link](https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AACuu4v3YNkhirzBOeeaHYala)
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+
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+
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+ ### Licensing Information
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+
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+ Not specified
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+
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+ ### Citation Information
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+
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+ ```
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+ @inproceedings{talmor2018web,
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+ title={The Web as a Knowledge-Base for Answering Complex Questions},
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+ author={Talmor, Alon and Berant, Jonathan},
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+ booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
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+ pages={641--651},
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+ year={2018}
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks for [happen2me](https://github.com/happen2me) for contributing this dataset.