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Datasets:
ibm-research
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finqa

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Question Answering
Languages:
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Dataset Summary

FinQA is a large-scale dataset with 2.8k financial reports for 8k Q&A pairs to study numerical reasoning with structured and unstructured evidence.

Citation Information 

@inproceedings{chen2021finqa,
          title={FinQA: A Dataset of Numerical Reasoning over Financial Data},
          author={Chen, Zhiyu and Chen, Wenhu and Smiley, Charese and Shah, Sameena and Borova, Iana and Langdon, Dylan and Moussa, Reema and Beane, Matt and Huang, Ting-Hao and Routledge, Bryan R and others},
          booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
          pages={3697--3711},
          year={2021}
        }
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