| --- |
| 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 |
| Intended use: |
| type: select |
| options: |
| - Research |
| - Education |
| - Commercial evaluation |
| - Other |
| I agree to the terms above and will cite the papers: checkbox |
| --- |
| |
| # CALM · Polish (financial distress) |
|
|
| 📄 [Paper](https://arxiv.org/abs/2310.00566) · 💻 [Code](https://github.com/colfeng/CALM) · 🌐 [The Fin AI](https://thefin.ai) |
|
|
| > Part of **CALM** — *Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models* ([arXiv:2310.00566](https://arxiv.org/abs/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 |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("TheFinAI/en-polish", split="test") |
| print(ds[0]) |
| ``` |
|
|
| ## Example prompt |
|
|
| ```text |
| 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): |
|
|
| ```bibtex |
| @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}, |
| } |
| ``` |
|
|
