Dataset · Hugging Face

bevaya/FinQA

Name: FinQA
Creator: bevaya
License: mit
Keywords: task_categories:question-answering, task_categories:table-question-answering, language:en, license:mit, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, financial, numerical-reasoning

FinQA A full-fidelity repackaging of the FinQA dataset (Chen et al., EMNLP 2021) for numerical reasoning over financial tables. FinQA contains questions over earnings reports from S&P 500 companies (1999–2019), sourced from the FinTabNet dataset. Each example pairs a financial table and surrounding text with a question, a human-readable answer, and a structured reasoning program that specifies the arithmetic operations needed to derive the answer. Why this version… See the full description on the dataset page: https://huggingface.co/datasets/bevaya/FinQA.

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Author / organization	bevaya
License (as declared)	mit
Downloads	3K (as reported by Hugging Face)
Likes	0
Created	14 May 2026
Last updated at source	14 May 2026

financialnumerical-reasoningtable-qaearnings-reports

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