Datasets:
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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/)
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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:
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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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| 9 |
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- table-text
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| 10 |
+
- discrete_reasoning
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| 11 |
+
- numerical_reasoning
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| 12 |
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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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