Break

AI2 Israel, Question Understanding • 2020

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations (QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.

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Top Public Submissions

Details	Created	GED
1 T5 with QDMR pre-trained decoder Chris Coleman and Alex Reneau, Northwestern University	4/28/2021	23%
2 T5 Baseline Chris Coleman and Alex Reneau, Northwestern University	4/20/2021	24%
3 BART-Base Model Kuang-Yu Chang	6/1/2021	22%
4 pmnlplab Weiguang Han from Wuhan University	5/25/2021	23%
5 pmnlplab Weiguang Han from Wuhan University	6/14/2021	23%

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Authors

Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant