README.md

---
pretty_name: DOLFIN — financial document translation
license: mit
language:
- en
- es
- fr
- de
- it
task_categories:
- translation
tags:
- finance
- thefinai
- multifinben
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: query
    dtype: string
  - name: answer
    dtype: string
  - name: text
    dtype: string
  - name: src_lang
    dtype: string
  - name: trg_lang
    dtype: string
  splits:
  - name: train
    num_bytes: 48939599
    num_examples: 9759
  - name: val
    num_bytes: 48939599
    num_examples: 9759
  - name: test
    num_bytes: 48939599
    num_examples: 9759
  download_size: 79391484
  dataset_size: 146818797
extra_gated_heading: Request access to DOLFIN — financial document translation
extra_gated_description: DOLFIN — financial document translation 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 MultiFinBen 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
---

# DOLFIN — financial document translation

📄 [Paper](https://arxiv.org/abs/2506.14028) · 💻 [Code](https://github.com/xueqingpeng/MultiFinBen) · 🌐 [The Fin AI](https://thefin.ai)

> Used in **MultiFinBen** — *MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application* ([arXiv:2506.14028](https://arxiv.org/abs/2506.14028)). Formerly `TheFinAI/DOLFIN_test` (the old name redirects here).

DOLFIN (Nakhlé et al., 2025) document-level financial translation, all language pairs. The English–Spanish subset used in MultiFinBen is [multi-dolfin-en-es](https://huggingface.co/datasets/TheFinAI/multi-dolfin-en-es). MIT-licensed (MultiFinBen paper, Table 2).

| | |
|---|---|
| Task | document-level financial translation |
| Language | multilingual |
| License | mit |

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("TheFinAI/multi-dolfin", split="test")
print(ds[0])
```

| Split | Rows |
|---|---|
| `train` | 9,759 |
| `val` | 9,759 |
| `test` | 9,759 |

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

## Citation

```bibtex
@misc{peng2025multifinbenbenchmarkinglargelanguage,
      title={MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application}, 
      author={Xueqing Peng and Lingfei Qian and Yan Wang and Ruoyu Xiang and Yueru He and Yang Ren and Mingyang Jiang and Vincent Jim Zhang and Yuqing Guo and Jeff Zhao and Huan He and Yi Han and Yun Feng and Yuechen Jiang and Yupeng Cao and Haohang Li and Yangyang Yu and Xiaoyu Wang and Penglei Gao and Shengyuan Lin and Keyi Wang and Shanshan Yang and Yilun Zhao and Zhiwei Liu and Peng Lu and Jerry Huang and Suyuchen Wang and Triantafillos Papadopoulos and Polydoros Giannouris and Efstathia Soufleri and Nuo Chen and Zhiyang Deng and Heming Fu and Yijia Zhao and Mingquan Lin and Meikang Qiu and Kaleb E Smith and Arman Cohan and Xiao-Yang Liu and Jimin Huang and Guojun Xiong and Alejandro Lopez-Lira and Xi Chen and Junichi Tsujii and Jian-Yun Nie and Sophia Ananiadou and Qianqian Xie},
      year={2025},
      eprint={2506.14028},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.14028}, 
}
```