Datasets:

TheFinAI
/

en-australian

pretty_name: FinBen · Australian (credit scoring)
license: cc-by-4.0
language:
  - en
task_categories:
  - text-classification
size_categories:
  - n<1K
source_datasets:
  - extended
tags:
  - finance
  - benchmark
  - thefinai
  - finben
  - flare
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: query
      dtype: string
    - name: answer
      dtype: string
    - name: choices
      sequence: string
    - name: gold
      dtype: int64
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 434142
      num_examples: 482
    - name: valid
      num_bytes: 62168
      num_examples: 69
    - name: test
      num_bytes: 125227
      num_examples: 139
  download_size: 107361
  dataset_size: 621537
extra_gated_heading: Request access to FinBen · Australian (credit scoring)
extra_gated_description: >-
  This FinBen task 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 the license of the original source (CC
  BY 4.0) and to cite the FinBen paper and the original dataset 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 papers: checkbox

FinBen · Australian (credit scoring)

📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI

Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).


Task	credit scoring
Original dataset	Australian (Quinlan)
Evaluation metric	F1, MCC
Source license	CC BY 4.0
Language	en

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/en-australian", split="test")
print(ds[0])

Example prompt

Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: …

Dataset Structure

Split	Rows
`test`	139
`train`	482
`valid`	69

Field	Description
`id`	Example id
`query`	Full instruction prompt given to the model
`answer`	Gold answer / label text
`choices`	Label space
`gold`	Index of the gold label in `choices`
`text`	Raw input text (without instruction)

License

The original data is released under CC BY 4.0 (FinBen paper, Table 2).

Citation

Please cite FinBen and the original dataset (Australian (Quinlan)):

@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},
}