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--- |
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language: |
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- ne |
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pretty_name: Nepali alpaca-52k |
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size_categories: |
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- 100K<n<1M |
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--- |
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This repository contains the dataset used for the TaCo paper. |
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The dataset follows the style outlined in the TaCo paper, as follows: |
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``` |
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{ |
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"instruction": "instruction in xx", |
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"input": "input in xx", |
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"output": "Instruction in English: instruction in en , |
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Response in English: response in en , |
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Response in xx: response in xx " |
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} |
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``` |
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Please refer to the paper for more details: [OpenReview](https://openreview.net/forum?id=02MLWBj8HP) |
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If you have used our dataset, please cite it as follows: |
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**Citation** |
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``` |
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@inproceedings{upadhayay2024taco, |
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title={TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in {LLM}s through Translation-Assisted Chain-of-Thought Processes}, |
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author={Bibek Upadhayay and Vahid Behzadan}, |
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booktitle={5th Workshop on practical ML for limited/low resource settings, ICLR}, |
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year={2024}, |
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url={https://openreview.net/forum?id=02MLWBj8HP} |
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} |
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``` |
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The original dataset [(Alpaca-52K)](https://github.com/tatsu-lab/stanford_alpaca?tab=readme-ov-file#data-release) was translated using Google Translate. |
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**Copyright and Intended Use** |
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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. |
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