Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
|
Download README.md from TheFinAI/en-convfinqa-reasoning: direct link, hf CLI and curl.
- Browser
- Download file 3.05 kB
-
https://huggingface.co/datasets/TheFinAI/en-convfinqa-reasoning/resolve/main/README.md
- Command line
-
hf download hf://datasets/TheFinAI/en-convfinqa-reasoning/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/TheFinAI/en-convfinqa-reasoning/resolve/main/README.md
3.05 kB
| pretty_name: ConvFinQA — reasoning-eval format | |
| license: mit | |
| language: | |
| - en | |
| task_categories: | |
| - question-answering | |
| tags: | |
| - finance | |
| - thefinai | |
| - fino1 | |
| 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: Open-ended Verifiable Question | |
| dtype: string | |
| - name: Ground-True Answer | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 52917604 | |
| num_examples: 11104 | |
| - name: val | |
| num_bytes: 6753302 | |
| num_examples: 1490 | |
| - name: test | |
| num_bytes: 6753302 | |
| num_examples: 1490 | |
| download_size: 12734127 | |
| dataset_size: 66424208 | |
| extra_gated_heading: Request access to ConvFinQA — reasoning-eval format | |
| extra_gated_description: ConvFinQA — reasoning-eval format 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 Fino1 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 | |
| # ConvFinQA — reasoning-eval format | |
| 📄 [Paper](https://arxiv.org/abs/2502.08127) · 💻 [Code](https://github.com/the-finai/fino1) · 🌐 [The Fin AI](https://thefin.ai) | |
| > Used in **Fino1** — *Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance* ([arXiv:2502.08127](https://arxiv.org/abs/2502.08127)). Formerly `TheFinAI/CONVFINQA_test` (the old name redirects here). | |
| ConvFinQA (Chen et al., 2022) in the verifiable-question format used in Fino1. FinBen format: [en-convfinqa](https://huggingface.co/datasets/TheFinAI/en-convfinqa). Query/answer copy of the 1,490 test items: [en-convfinqa-reasoning-test](https://huggingface.co/datasets/TheFinAI/en-convfinqa-reasoning-test). ConvFinQA is MIT-licensed. | |
| | | | | |
| |---|---| | |
| | Task | multi-turn numerical QA | | |
| | Language | en | | |
| | License | mit | | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("TheFinAI/en-convfinqa-reasoning", split="test") | |
| print(ds[0]) | |
| ``` | |
| | Split | Rows | | |
| |---|---| | |
| | `train` | 11,104 | | |
| | `val` | 1,490 | | |
| | `test` | 1,490 | | |
| Columns: `id`, `Open-ended Verifiable Question`, `Ground-True Answer` | |
| ## Citation | |
| ```bibtex | |
| @misc{qian2025fino1transferabilityreasoningenhancedllms, | |
| title={Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance}, | |
| author={Lingfei Qian and Weipeng Zhou and Yan Wang and Xueqing Peng and Han Yi and Yilun Zhao and Jimin Huang and Qianqian Xie and Jian-yun Nie}, | |
| year={2025}, | |
| eprint={2502.08127}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2502.08127}, | |
| } | |
| ``` | |