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Microsoft Research Sequential Question Answering (SQA) Dataset
The SQA dataset was created to explore the task of answering sequences of inter-related questions on HTML tables. It has 6,066 sequences with 17,553 questions in total.
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Version:
1.0
Date Published:
11/11/2016
File Name:
SQA Release 1.0.zip
File Size:
4.6 MB
Recent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two humans. In an effort to explore a conversational QA setting, we present a more realistic task: answering sequences of simple but inter-related questions. We created SQA by asking crowdsourced workers to decompose 2,022 questions from WikiTableQuestions (WTQ), which contains highly-compositional questions about tables from Wikipedia. We had three workers decompose each WTQ question, resulting in a dataset of 6,066 sequences that contain 17,553 questions in total. Each question is also associated with answers in the form of cell locations in the tables.Supported Operating Systems
Android, Apple Mac OS X, Windows 10, Windows 8
- Windows 8, Windows 10, Android, Apple Mac OS X
- Click Download and follow the instructions.
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