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lamm-mit/magpie-ultra-v0.1-DPO

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Hugging Face2024-08-10 更新2025-04-08 收录
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资源简介:
--- dataset_info: features: - name: model_name_response_base dtype: string - name: instruction dtype: string - name: response dtype: string - name: response_base dtype: string - name: intent dtype: string - name: knowledge dtype: string - name: difficulty dtype: string - name: model_name_difficulty dtype: string - name: explanation dtype: string - name: quality dtype: string - name: model_name_quality dtype: string - name: primary_tag dtype: string - name: other_tags sequence: string - name: model_name_classification dtype: string - name: embedding sequence: float64 - name: model_name_embeddings dtype: string - name: score dtype: float64 - name: score_base dtype: float64 - name: distilabel_metadata struct: - name: raw_output_assign_tags_0 dtype: string - name: nn_indices sequence: int64 - name: nn_scores sequence: float64 - name: messages list: - name: content dtype: string - name: role dtype: string - name: guard dtype: string - name: model_name_guard dtype: string - name: safe dtype: bool - name: hazard_category dtype: string - name: score_difference dtype: float64 - name: text dtype: string - name: text_tok_length dtype: int64 - name: rejected_response dtype: string - name: prompt dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 1177571394 num_examples: 50000 download_size: 694713520 dataset_size: 1177571394 configs: - config_name: default data_files: - split: train path: data/train-* --- # magpie-ultra-v0.1-DPO Version of (argilla/magpie-ultra-v0.1) with rejected responses added for easy use in DPO or ORPO. ```bibtex @misc{buehler2024magpie, title={Generating science-aligned LLMs}, author={Markus J. Buehler, et al.}, year={2024}, eprint={}, archivePrefix={arXiv}, primaryClass={cs.CL} } @misc{xu2024magpie, title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing}, author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin}, year={2024}, eprint={2406.08464}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
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