Datasetfinancialv1.0

FinQA Dataset

by Zhiyu Chen et al. / University of California Santa Barbara · free · Last verified 2026-03-17

FinQA is a large-scale dataset for numerical reasoning over financial data, containing over 8,000 question-answer pairs from S&P 500 earnings reports. Each question requires multi-step reasoning across both unstructured text and structured tables, making it a challenging benchmark for financial AI systems.

https://github.com/czyssrs/FinQA ↗

B—Above Average

Adoption: BQuality: A+Freshness: B+Citations: B+Engagement: F

Specifications

License: MIT
Pricing: free
Capabilities: Financial Question Answering, Numerical Reasoning over Financial Data, Hybrid Reasoning across Tables and Text, Multi-step Arithmetic Calculation, Information Extraction from Financial Reports, Benchmarking Language Models on Financial Tasks, Training Domain-Specific Financial Models
Integrations
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: No
Tags: financial-qa, numerical-reasoning, table-qa, earnings-reports, benchmark, nlp-dataset, financial-language-models, information-extraction, quantitative-analysis, llm-training
Added: 2026-03-17
Completeness: 0.8%

Index Score

65.1

Adoption

Quality

Freshness

Citations

Engagement

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