A Dataset for Complex Factoid Question Answering with Paraphrase Clusters
ComQA is a dataset of 11,214 questions, which were collected from WikiAnswers, a community question answering website. By collecting questions from such a site we ensure that the information needs are ones of interest to actual users. Moreover, questions posed there are often cannot be answered by commercial search engines or QA technology, making them more interesting for driving future research compared to those collected from an engine's query log. The dataset contains questions with various challenging phenomena such as the need for temporal reasoning, comparison (e.g.,
comparatives, superlatives, ordinals), compositionality (multiple,
possibly nested, subquestions with multiple entities), and unanswerable questions (e.g., Who was the first human being on Mars?). Through a large crowdsourcing effort, questions in ComQA are grouped into 4,834 paraphrase clusters that express the same information need. Each cluster is annotated with its answer(s). ComQA answers come in the form of Wikipedia entities wherever
possible. Wherever the answers are temporal or measurable quantities, TIMEX3 and the
International System of Units (SI) are used for normalization.
To cite ComQA, please use:
"ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters", Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, and Gerhard Weikum, in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT '19), Minneapolis, USA, 02 - 07 June 2019, pages 307 - 317.
7,850 question-answer pairs grouped into 3966 clusters
1,121 question-answer pairs grouped into 966 clusters
2,243 question-answer pairs
|1||Abujabal et al. (2017)||21.2||38.4||22.4|
|2||Bast and Haussmann (2015)||20.7||37.6||21.6|
|3||Berant et al. (2013)||13.7||20.1||12.0|
|4||Berant and Liang (2015)||10.7||15.4||10.6|
|5||Fader et al. (2013)||7.22||6.59||6.73|