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OpenLLM-Ro/ro_dpo_helpsteer

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Hugging Face2024-10-11 更新2025-04-12 收录
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--- license: cc-by-nc-4.0 language: - ro --- ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> [HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer) dataset contains 37k samples each containing a prompt, a response, as well as five human-annotated attributes of the response. Here we provide the Romanian translation of the HelpSteer dataset, translated with [Systran](https://www.systransoft.com/). This dataset is part of the alignment protocol for Romanian LLMs proposed in *"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions* ([Masala et al., 2024](https://arxiv.org/abs/2406.18266)). ## Citation <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> ```bibtex @misc{wang2023helpsteer, title={HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM}, author={Zhilin Wang and Yi Dong and Jiaqi Zeng and Virginia Adams and Makesh Narsimhan Sreedhar and Daniel Egert and Olivier Delalleau and Jane Polak Scowcroft and Neel Kant and Aidan Swope and Oleksii Kuchaiev}, year={2023}, eprint={2311.09528}, archivePrefix={arXiv}, primaryClass={cs.CL} } @misc{dong2023steerlm, title={SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF}, author={Yi Dong and Zhilin Wang and Makesh Narsimhan Sreedhar and Xianchao Wu and Oleksii Kuchaiev}, year={2023}, eprint={2310.05344}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ```bibtext @article{masala2024vorbecstiromanecsterecipetrain, title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions}, author={Mihai Masala and Denis C. Ilie-Ablachim and Alexandru Dima and Dragos Corlatescu and Miruna Zavelca and Ovio Olaru and Simina Terian and Andrei Terian and Marius Leordeanu and Horia Velicu and Marius Popescu and Mihai Dascalu and Traian Rebedea}, year={2024}, eprint={2406.18266}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
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