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  ---
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- dataset_info:
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- features:
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- - name: instruction
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- dtype: string
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- - name: input
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- dtype: string
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- - name: output
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 30589076.422003
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- num_examples: 41601
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- - name: test
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- num_bytes: 7647820.577997
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- num_examples: 10401
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- download_size: 25041340
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- dataset_size: 38236897.0
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  ---
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- # Dataset Card for "alpaca-latin-cleaned"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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  ---
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+ language:
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+ - la
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+ pretty_name: Latin 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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+
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+ Please refer to the paper for more details: [OpenReview](https://openreview.net/forum?id=02MLWBj8HP)
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+
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+ If you have used our dataset, please cite it as follows:
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+
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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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+
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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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+
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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.