surogate/ro_sft_camel
Dataset Description Camel dataset contains instruction-following data generated by GPT-4 in domains such as math, chemistry, biology and physics. Here we provide the Romanian translation of the Camel dataset, translated with Systran. This dataset is part of the instruction finetune protocol for Romanian LLMs proposed in "Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions (Masala et al., 2024). Citation @misc{li2023camel… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_sft_camel.
Dataset Description
<!-- Provide a longer summary of what this dataset is. --> Camel dataset contains instruction-following data generated by GPT-4 in domains such as math, chemistry, biology and physics.
Here we provide the Romanian translation of the Camel dataset, translated with Systran. This dataset is part of the instruction finetune protocol for Romanian LLMs proposed in "Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions (Masala et al., 2024).
Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
@misc{li2023camel,
title={CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society},
author={Guohao Li and Hasan Abed Al Kader Hammoud and Hani Itani and Dmitrii Khizbullin and Bernard Ghanem},
year={2023},
eprint={2303.17760},
archivePrefix={arXiv},
primaryClass={cs.AI}
}@inproceedings{masala-etal-2024-vorbesti,
title = "``Vorbe\c{s}ti Rom{\^a}ne\c{s}te?'' A Recipe to Train Powerful {R}omanian {LLM}s with {E}nglish Instructions",
author = "Masala, Mihai and Ilie-Ablachim, Denis and Dima, Alexandru and Corlatescu, Dragos Georgian and Zavelca, Miruna-Andreea and Olaru, Ovio and Terian, Simina-Maria and Terian, Andrei and Leordeanu, Marius and Velicu, Horia and Popescu, Marius and Dascalu, Mihai and Rebedea, Traian",
editor = "Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.681/",
doi = "10.18653/v1/2024.findings-emnlp.681",
pages = "11632--11647"
}