English Evaluation Dataset
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FinBen · ConvFinQA
📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI
Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
| Task | multi-turn question answering |
| Original dataset | ConvFinQA (Chen et al., 2022) |
| Evaluation metric | EM Accuracy |
| Source license | MIT License |
| Language | en |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-convfinqa", split="test")
print(ds[0])
Example prompt
In the context of this series of interconnected finance-related queries and the additional information provided by the pretext, table data, and posttext from a company's financial filings, please provide a response to the final question. This may require extracting information from the context and performing mathematical calculations. Please take into account the information provided in the preced…
Dataset Structure
| Split | Rows |
|---|---|
train |
8,891 |
test |
1,490 |
valid |
2,213 |
| Field | Description |
|---|---|
id |
Example id |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
turn |
Turn index within the dialogue |
dialogue_id |
Dialogue id |
License
The original data is released under MIT License (FinBen paper, Table 2).
Citation
Please cite FinBen and the original dataset (ConvFinQA (Chen et al., 2022)):
@misc{xie2024finbenholisticfinancialbenchmark,
title={FinBen: A Holistic Financial Benchmark for Large Language Models},
author={Qianqian Xie and Weiguang Han and Zhengyu Chen and Ruoyu Xiang and Xiao Zhang and Yueru He and Mengxi Xiao and Dong Li and Yongfu Dai and Duanyu Feng and Yijing Xu and Haoqiang Kang and Ziyan Kuang and Chenhan Yuan and Kailai Yang and Zheheng Luo and Tianlin Zhang and Zhiwei Liu and Guojun Xiong and Zhiyang Deng and Yuechen Jiang and Zhiyuan Yao and Haohang Li and Yangyang Yu and Gang Hu and Jiajia Huang and Xiao-Yang Liu and Alejandro Lopez-Lira and Benyou Wang and Yanzhao Lai and Hao Wang and Min Peng and Sophia Ananiadou and Jimin Huang},
year={2024},
eprint={2402.12659},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2402.12659},
}
@article{chen2022convfinqa,
title={Convfinqa: Exploring the chain of numerical reasoning in conversational finance question answering},
author={Chen, Zhiyu and Li, Shiyang and Smiley, Charese and Ma, Zhiqiang and Shah, Sameena and Wang, William Yang},
journal={arXiv preprint arXiv:2210.03849},
year={2022}
}
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