FinQA

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Nova Pro from Amazon currently leads the FinQA leaderboard with a score of 0.772 across 3 evaluated AI models.

Paper

AmazonNova Pro leads with 77.2%, followed by AmazonNova Lite at 73.6% and AmazonNova Micro at 65.2%.

Progress Over Time

Interactive timeline showing model performance evolution on FinQA

State-of-the-art frontier
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FinQA Leaderboard

3 models
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Amazon
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FAQ

Common questions about FinQA.

What is the FinQA benchmark?

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

What is the FinQA leaderboard?

The FinQA leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, Nova Pro by Amazon leads with a score of 0.772. The average score across all models is 0.720.

What is the highest FinQA score?

The highest FinQA score is 0.772, achieved by Nova Pro from Amazon.

How many models are evaluated on FinQA?

3 models have been evaluated on the FinQA benchmark, with 0 verified results and 3 self-reported results.

Where can I find the FinQA paper?

The FinQA paper is available at https://arxiv.org/abs/2109.00122. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does FinQA cover?

FinQA is categorized under finance, math, reasoning, and economics. The benchmark evaluates text models.

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