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- ---
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- license: cc-by-4.0
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- task_categories:
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- - question-answering
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- language:
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- - en
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- tags:
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- - finance
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- - table-text
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- - discrete_reasoning
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- - numerical_reasoning
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- size_categories:
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- - 10K<n<100K
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- ---
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  # TAT-QA
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- [**Project Page**](https://nextplusplus.github.io/TAT-QA/); [**Paper - ACL 21**](https://aclanthology.org/2021.acl-long.254/); [**Source Code**](https://github.com/NExTplusplus/TAT-QA) [**Leaderboard**](https://nextplusplus.github.io/TAT-QA/#leaderboard)
 
 
 
 
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  TAT-QA (Tabular And Textual dataset for Question Answering) is a large-scale QA dataset, aiming to stimulate progress of QA research over more complex and realistic tabular and textual data, especially those requiring numerical reasoning.
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
4
+ - question-answering
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+ language:
6
+ - en
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+ tags:
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+ - finance
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+ - table-text
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+ - discrete_reasoning
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+ - numerical_reasoning
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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  # TAT-QA
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+ - [**Project Page**](https://nextplusplus.github.io/TAT-QA/)
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+ - [**Paper - ACL 21**](https://aclanthology.org/2021.acl-long.254/)
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+ - [**Paper - Arxiv**](https://arxiv.org/abs/2105.07624)
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+ - [**Source Code**](https://github.com/NExTplusplus/TAT-QA)
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+ - [**Leaderboard**](https://nextplusplus.github.io/TAT-QA/#leaderboard)
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  TAT-QA (Tabular And Textual dataset for Question Answering) is a large-scale QA dataset, aiming to stimulate progress of QA research over more complex and realistic tabular and textual data, especially those requiring numerical reasoning.
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