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| pretty_name: FLARE-ES · EFP | |
| license: other | |
| license_name: public-source | |
| language: | |
| - es | |
| task_categories: | |
| - question-answering | |
| size_categories: | |
| - n<1K | |
| source_datasets: | |
| - extended | |
| tags: | |
| - finance | |
| - benchmark | |
| - thefinai | |
| - flare-es | |
| - flare | |
| dataset_info: | |
| features: | |
| - name: 'query:' | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: text | |
| dtype: string | |
| - name: choices | |
| sequence: string | |
| - name: gold | |
| dtype: int64 | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 66200 | |
| num_examples: 37 | |
| download_size: 43563 | |
| dataset_size: 66200 | |
| extra_gated_heading: Request access to FLARE-ES · EFP | |
| extra_gated_description: This FLARE-ES 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 (Public) and to cite the FLARE-ES 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 | |
| # FLARE-ES · EFP | |
| 📄 [Paper](https://arxiv.org/abs/2402.07405) · 🌐 [The Fin AI](https://thefin.ai) | |
| > Part of **FLARE-ES** — *Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English* ([arXiv:2402.07405](https://arxiv.org/abs/2402.07405)). | |
| | | | | |
| |---|---| | |
| | Task | question answering (exam questions) | | |
| | Original dataset | EFP (https://efpa-eu.org/) | | |
| | Evaluation metric | F1, Accuracy | | |
| | Source license | Public | | |
| | Language | es | | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("TheFinAI/es-efp", split="test") | |
| print(ds[0]) | |
| ``` | |
| ## Example prompt | |
| ```text | |
| Lea cuidadosamente las preguntas y respuestas, y elija la que considere apropiada entre las tres opciones A, B y C | |
| Q:¿Cuáles son los objetivos que persigue la esterilización monetaria por parte del BCE en su última instrumentalización de política monetaria? I. Aumentar la presión sobre el rendimiento del bono alemán. II. Vender igual cantidad de bonos alemanes que la compra de bonos españoles. … | |
| ``` | |
| ## Dataset Structure | |
| | Split | Rows | | |
| |---|---| | |
| | `test` | 37 | | |
| | Field | Description | | |
| |---|---| | |
| | `query:` | | | |
| | `answer` | Gold answer / label text | | |
| | `text` | Raw input text (without instruction) | | |
| | `choices` | Label space | | |
| | `gold` | Index of the gold label in `choices` | | |
| | `query` | Full instruction prompt given to the model | | |
| ## License | |
| The paper lists the original data as **publicly available** without a specific license (FLARE-ES paper, Tables 1-2); refer to the original source for its terms. | |
| ## Citation | |
| Please cite FLARE-ES and the original dataset (EFP (https://efpa-eu.org/)): | |
| ```bibtex | |
| @misc{zhang2024dolaresdollarsunravelingbilingual, | |
| title={D\'olares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English}, | |
| author={Xiao Zhang and Ruoyu Xiang and Chenhan Yuan and Duanyu Feng and Weiguang Han and Alejandro Lopez-Lira and Xiao-Yang Liu and Sophia Ananiadou and Min Peng and Jimin Huang and Qianqian Xie}, | |
| year={2024}, | |
| eprint={2402.07405}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2402.07405}, | |
| } | |
| ``` | |