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Back to datasetsKey Variables Financial reasoning accuracy; numerical computation; multi-step reasoning over financial documents AI/Tech Tracking Complex numerical reasoning over financial reports and earnings data Access Details Available on GitHub and Papers with Code Notes Expert-annotated by 11 finance professionals; requires multi-step reasoning over tables and text
FinQA
FinQA: A Dataset of Numerical Reasoning over Financial Data
AI-focusedPublicNeither
Visit Dataset- Specific Type
- AI benchmarking
- Dataset Type
- Cross-sectional
- Institution
- University of California Santa Barbara; Salesforce Research; Carnegie Mellon University
- Institution Type
- Academia; Industry
- Level of Focus
- Task capability
- Most Granular Level
- Individual financial question level
- Perspective
- Neither
- Time Coverage
- 2021-present
- Frequency
- Static benchmark
- Sample Size
- 8281 financial QA pairs
- Geographic Detail
- National (US)
- Occupational Classification
- Not specified
- Industrial Classification
- S&P 500 companies
- Other Classification
- Financial reasoning tasks
Key Papers
Chen et al. (2021) EMNLP