| language: | |
| - jv | |
| pretty_name: Javanese alpaca-52k | |
| size_categories: | |
| - 100K<n<1M | |
| This repository contains the dataset used for the TaCo paper. | |
| 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. | |