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.