Dataset · Hugging Face

snorkelai/finqa-data

Name: finqa-data
Creator: snorkelai
License: apache-2.0
Keywords: task_categories:question-answering, language:en, license:apache-2.0, size_categories:n<1K, format:csv, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, finance, agents, tool-use, SEC-10K

SnorkelFinance Expert-verified financial QA dataset for evaluating AI agents on tool-calling and reasoning over SEC 10-K filings. Overview SnorkelFinance is a benchmark of 290 questions across 20 companies spanning 5 industry verticals. Questions are created from 10-K filing documents and verified by Snorkel's network of financial experts on a 5-point scale for realism and accuracy. Agents don't have direct access to the documents. Instead, they must plan and use… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/finqa-data.

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Author / organization	snorkelai
License (as declared)	apache-2.0
Downloads	3.3K (as reported by Hugging Face)
Likes	2
Created	26 January 2026
Last updated at source	17 February 2026

financeagentstool-useSEC-10Kevaluation

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17 Oct 2026 Description: SnorkelFinance Expert-verified financial QA dataset for evaluating AI agents on tool-calling and reasoning over SEC 10-K filings. Overview SnorkelFinance is a benchmark of 290 questions across 20 companies spanning 5 industry verticals. Que → SnorkelFinance Expert-verified financial QA dataset for evaluating AI agents on tool-calling and reasoning over SEC 10-K filings. Overview SnorkelFinance is a benchmark of 290 questions across 20 companies spanning 5 industry verticals. Que

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