Datasets:
ibm
/

Languages:
English
ArXiv:
License:

The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

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}
        }
Downloads last month
914