Dataset · Hugging Face

embedding-benchmark/FinQA

Name: FinQA
Creator: embedding-benchmark
Keywords: task_categories:text-retrieval, task_ids:document-retrieval, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, text-retrieval

FinQA is a large-scale dataset with 2.8k financial reports for 8k Q&A pairs to study numerical reasoning with structured and unstructured evidence. Usage import datasets # Download the dataset queries = datasets.load_dataset("embedding-benchmark/FinQA", "queries") documents = datasets.load_dataset("embedding-benchmark/FinQA", "corpus") pair_labels = datasets.load_dataset("embedding-benchmark/FinQA", "default")

View on Hugging FaceReport an issue

Author / organization	embedding-benchmark
Downloads	1.2K (as reported by Hugging Face)
Likes	0
Created	2 May 2025
Last updated at source	4 August 2025

text-retrieval

Embed this entry

<iframe src="https://silytics.si/embed/item/2e5e3297-c6b4-420e-9867-77f4e1184afa" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from embedding-benchmark

embedding-benchmark/FinanceBenchDataset
embedding-benchmark/HC3FinanceDataset
embedding-benchmark/ChatDoctor_HealthCareMagicDataset
embedding-benchmark/MBPPDataset
embedding-benchmark/HumanEvalDataset
embedding-benchmark/FreshStack_mtebDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.