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---
pretty_name: ConvFinQA — reasoning-eval format
license: mit
language:
- en
task_categories:
- question-answering
tags:
- finance
- thefinai
- fino1
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: Open-ended Verifiable Question
dtype: string
- name: Ground-True Answer
dtype: string
splits:
- name: train
num_bytes: 52917604
num_examples: 11104
- name: val
num_bytes: 6753302
num_examples: 1490
- name: test
num_bytes: 6753302
num_examples: 1490
download_size: 12734127
dataset_size: 66424208
extra_gated_heading: Request access to ConvFinQA — reasoning-eval format
extra_gated_description: ConvFinQA — reasoning-eval format is released by The Fin AI for research. Access is granted automatically after you complete this short form.
extra_gated_button_content: Agree and access
extra_gated_prompt: By accessing this dataset you agree to its license and to cite the Fino1 paper in any resulting publication.
extra_gated_fields:
Full name: text
Affiliation: text
Country: country
Intended use:
type: select
options:
- Research
- Education
- Commercial evaluation
- Other
I agree to the terms above and will cite the paper: checkbox
---
# ConvFinQA — reasoning-eval format
📄 [Paper](https://arxiv.org/abs/2502.08127) · 💻 [Code](https://github.com/the-finai/fino1) · 🌐 [The Fin AI](https://thefin.ai)
> Used in **Fino1** — *Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance* ([arXiv:2502.08127](https://arxiv.org/abs/2502.08127)). Formerly `TheFinAI/CONVFINQA_test` (the old name redirects here).
ConvFinQA (Chen et al., 2022) in the verifiable-question format used in Fino1. FinBen format: [en-convfinqa](https://huggingface.co/datasets/TheFinAI/en-convfinqa). Query/answer copy of the 1,490 test items: [en-convfinqa-reasoning-test](https://huggingface.co/datasets/TheFinAI/en-convfinqa-reasoning-test). ConvFinQA is MIT-licensed.
| | |
|---|---|
| Task | multi-turn numerical QA |
| Language | en |
| License | mit |
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-convfinqa-reasoning", split="test")
print(ds[0])
```
| Split | Rows |
|---|---|
| `train` | 11,104 |
| `val` | 1,490 |
| `test` | 1,490 |
Columns: `id`, `Open-ended Verifiable Question`, `Ground-True Answer`
## Citation
```bibtex
@misc{qian2025fino1transferabilityreasoningenhancedllms,
title={Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance},
author={Lingfei Qian and Weipeng Zhou and Yan Wang and Xueqing Peng and Han Yi and Yilun Zhao and Jimin Huang and Qianqian Xie and Jian-yun Nie},
year={2025},
eprint={2502.08127},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.08127},
}
```