alpaca-oromo-cleaned

saillab

This repository contains the dataset used for the TaCo paper. Please refer to the paper for more details: OpenReview 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}… See the full description on the dataset page: https://huggingface.co/datasets/saillab/alpaca-oromo-cleaned.

alpaca-tigrinya-cleaned

saillab

This repository contains the dataset used for the TaCo paper. Please refer to the paper for more details: OpenReview 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}… See the full description on the dataset page: https://huggingface.co/datasets/saillab/alpaca-tigrinya-cleaned.

alpaca_tigrinya_taco

saillab

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 If you have used our dataset, please cite it as follows: Citation… See the full description on the dataset page: https://huggingface.co/datasets/saillab/alpaca_tigrinya_taco.