Datasets:

TheFinAI
/

en-polish

pretty_name: CALM · Polish (financial distress)
license: cc-by-4.0
language:
  - en
task_categories:
  - text-classification
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
tags:
  - finance
  - benchmark
  - thefinai
  - calm
  - flare
extra_gated_heading: Request access to CALM · Polish (financial distress)
extra_gated_description: >-
  This CALM 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 CALM paper and the original dataset in any resulting
  publication.
extra_gated_fields:
  Full name: text
  Affiliation: text
  Country: country
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    options:
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CALM · Polish (financial distress)

📄 Paper · 💻 Code · 🌐 The Fin AI

Part of CALM — Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models (arXiv:2310.00566).


Task	financial distress identification
Original dataset	Polish companies bankruptcy
Evaluation metric	Accuracy, MCC, F1, Miss
Source license	CC BY 4.0
Language	en

Quick Start

from datasets import load_dataset

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

Example prompt

Predict whether the company will face bankruptcy based on the financial profile attributes provided in the following text. Respond with only 'no' or 'yes', and do not provide any additional information. 
For instance, 'The client has attributes: net profit / total assets: -0.046186, ..., sales / short-term liabilities: 5.7063, sales / fixed assets: 1.3882.' should be classified as 'no'. 
Text: 'Th…

Dataset Structure

Split	Rows
`train`	6,076
`validation`	868
`test`	1,737

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 (CALM paper, Table 1).

Citation

Please cite CALM and the original dataset (Polish companies bankruptcy):

@misc{feng2024empoweringmanybiasingfew,
      title={Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models},
      author={Duanyu Feng and Yongfu Dai and Jimin Huang and Yifang Zhang and Qianqian Xie and Weiguang Han and Zhengyu Chen and Alejandro Lopez-Lira and Hao Wang},
      year={2024},
      eprint={2310.00566},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2310.00566},
}