saillab/alpaca_esperanto_taco
收藏资源简介:
--- language: - eo pretty_name: Esperanto alpaca-52k size_categories: - 100K<n<1M --- This repository contains the dataset used for the TaCo paper. The dataset follows the style outlined in the TaCo paper, as follows: ``` { "instruction": "instruction in xx", "input": "input in xx", "output": "Instruction in English: instruction in en , Response in English: response in en , Response in xx: response in xx " } ``` Please refer to the paper for more details: [OpenReview](https://openreview.net/forum?id=02MLWBj8HP) If you have used our dataset, please cite it as follows: **Citation** ``` @inproceedings{upadhayay2024taco, title={TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in {LLM}s through Translation-Assisted Chain-of-Thought Processes}, author={Bibek Upadhayay and Vahid Behzadan}, booktitle={5th Workshop on practical ML for limited/low resource settings, ICLR}, year={2024}, url={https://openreview.net/forum?id=02MLWBj8HP} } ``` The original dataset [(Alpaca-52K)](https://github.com/tatsu-lab/stanford_alpaca?tab=readme-ov-file#data-release) was translated using Google Translate. **Copyright and Intended Use** This dataset has been released under CC BY-NC, intended for academic and research purposes only. Please review the licenses and terms and conditions of Alpaca-52K, Dolly-15K, and Google Cloud Translation before using this dataset for any purpose other than research.
数据集详情
特征信息
- instruction: 类型为字符串
- input: 类型为字符串
- output: 类型为字符串
- id: 类型为字符串
- text: 类型为字符串
数据分割
- train: 包含49601个样本,大小为177726593.3248766字节
- test: 包含12401个样本,大小为44434335.675123386字节
数据集大小
- 下载大小: 112038210字节
- 数据集总大小: 222160929.0字节
配置信息
- default配置包含以下数据文件:
- train: 路径为
data/train-* - test: 路径为
data/test-*
- train: 路径为



