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hellotayssir/FinQA_finetung_datset

FinQA Fine-tuning Dataset Dataset Description This dataset is a cleaned version of the FinQA dataset prepared for financial language model fine-tuning. Each example contains: context: Financial report text and tables. question: Financial reasoning question. answer: Expected answer. Dataset Structure Train: 6251 examples Test: 1147 examples Features Column Description context Financial document context including tables… See the full description on the dataset page: https://huggingface.co/datasets/hellotayssir/FinQA_finetung_datset.

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FinQA Fine-tuning Dataset

Dataset Description

This dataset is a cleaned version of the FinQA dataset prepared for financial language model fine-tuning.

Each example contains:

  • —context: Financial report text and tables.
  • —question: Financial reasoning question.
  • —answer: Expected answer.

Dataset Structure

  • —Train: 6251 examples
  • —Test: 1147 examples

Features

ColumnDescription
contextFinancial document context including tables
questionFinancial question
answerExpected answer

Intended Use

This dataset can be used for:

  • —Financial question answering
  • —Fine-tuning financial assistants
  • —Numerical reasoning over financial reports
  • —Financial analysis tasks

Dataset Source

This dataset is based on the original FinQA dataset:

GitHub Repository: https://github.com/czyssrs/FinQA

Paper: FinQA: A Dataset of Numerical Reasoning over Financial Data (EMNLP 2021)

The original dataset provides financial QA pairs with numerical reasoning over financial reports. :contentReference[oaicite:1]{index=1}

License

This dataset follows the original FinQA license.