Dataset · Hugging Face

Mr-Rosen/Accuracy-Is-Not-Enough-FinQA-Dataset

Name: Accuracy-Is-Not-Enough-FinQA-Dataset
Creator: Mr-Rosen
License: cc-by-4.0
Keywords: task_categories:question-answering, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, finance, finqa, financial-question-answering, numerical-reasoning

Natively Extended FinQA Natively Extended FinQA is a long-context derivative of FinQA for numerical reasoning over financial data. It preserves the FinQA task while increasing the amount of financial context surrounding each question. Average context increased from approximately: 611 words per question to: 5,629 words per question Splits Hugging Face Split File Records train long_train.json 6,251 validation long_dev.json 883 test long_test.json 1… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Rosen/Accuracy-Is-Not-Enough-FinQA-Dataset.

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Author / organization	Mr-Rosen
License (as declared)	cc-by-4.0
Downloads	145 (as reported by Hugging Face)
Likes	2
Created	23 August 2026
Last updated at source	23 August 2026

financefinqafinancial-question-answeringnumerical-reasoninglong-contextrag

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