---
pretty_name: FinBen · FinArg-ACC (train)
license: cc-by-nc-sa-4.0
language:
- en
task_categories:
- text-classification
tags:
- finance
- thefinai
- finben
extra_gated_fields:
  First name: text
  Last name: text
  Affiliation: text
  Job title: text
  Email: text
  Country: country
  I want to use this model for:
    type: select
    options:
    - Research
    - Education
    - label: Other
      value: other
  I agree to use this model for non-commercial use ONLY: checkbox
---

# FinBen · FinArg-ACC (train)

📄 [Paper](https://arxiv.org/abs/2402.12659) · 💻 [Code](https://github.com/The-FinAI/FinBen) · 🌐 [The Fin AI](https://thefin.ai)

> Part of **FinBen** — *FinBen: A Holistic Financial Benchmark for Large Language Models* ([arXiv:2402.12659](https://arxiv.org/abs/2402.12659)). Formerly `TheFinAI/finarg-ecc-auc_train` (the old name redirects here).

Training split of FinArg-ACC (Sy et al., 2023). Evaluation split: [en-finarg-ecc-auc](https://huggingface.co/datasets/TheFinAI/en-finarg-ecc-auc). CC BY-NC-SA 4.0 (FinBen paper, Table 2).

| | |
|---|---|
| Task | argument unit classification |
| Language | en |
| License | cc-by-nc-sa-4.0 |

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("TheFinAI/en-finarg-ecc-auc-train", split="train")
print(ds[0])
```

| Split | Rows |
|---|---|
| `train` | 7,753 |

Columns: `id`, `query`, `answer`, `text`, `choices`

## Citation

```bibtex
@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}, 
}
```