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jz666/mistral-ultrafeedback-templated-ppl-margin-5

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Hugging Face2025-12-10 更新2025-12-20 收录
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https://hf-mirror.com/datasets/jz666/mistral-ultrafeedback-templated-ppl-margin-5
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资源简介:
--- dataset_info: features: - name: prompt_id 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 - name: all_generated_responses sequence: string - name: all_rm_scores sequence: float64 - name: ppl_chosen dtype: float64 - name: nll_chosen dtype: float64 - name: ppl_rejected dtype: float64 - name: nll_rejected dtype: float64 splits: - name: train num_bytes: 971699581 num_examples: 59720 - name: test num_bytes: 48377094 num_examples: 2994 - name: train_correct_q1 num_bytes: 98894676.04350302 num_examples: 6078 - name: train_correct_q2 num_bytes: 98878405.1195077 num_examples: 6077 - name: train_correct_q3 num_bytes: 98878405.1195077 num_examples: 6077 - name: train_correct_q4 num_bytes: 98878405.1195077 num_examples: 6077 - name: train_correct_q5 num_bytes: 98878405.1195077 num_examples: 6077 - name: train_wrong_q1 num_bytes: 95461511.0804923 num_examples: 5867 - name: train_wrong_q2 num_bytes: 95461511.0804923 num_examples: 5867 - name: train_wrong_q3 num_bytes: 95461511.0804923 num_examples: 5867 - name: train_wrong_q4 num_bytes: 95461511.0804923 num_examples: 5867 - name: train_wrong_q5 num_bytes: 95445240.15649699 num_examples: 5866 - name: train_all_q1 num_bytes: 194339916.2 num_examples: 11944 - name: train_all_q2 num_bytes: 194339916.2 num_examples: 11944 - name: train_all_q3 num_bytes: 194339916.2 num_examples: 11944 - name: train_all_q4 num_bytes: 194339916.2 num_examples: 11944 - name: train_all_q5 num_bytes: 194339916.2 num_examples: 11944 download_size: 1365082637 dataset_size: 2963475836.9999995 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: train_correct_q1 path: data/train_correct_q1-* - split: train_correct_q2 path: data/train_correct_q2-* - split: train_correct_q3 path: data/train_correct_q3-* - split: train_correct_q4 path: data/train_correct_q4-* - split: train_correct_q5 path: data/train_correct_q5-* - split: train_wrong_q1 path: data/train_wrong_q1-* - split: train_wrong_q2 path: data/train_wrong_q2-* - split: train_wrong_q3 path: data/train_wrong_q3-* - split: train_wrong_q4 path: data/train_wrong_q4-* - split: train_wrong_q5 path: data/train_wrong_q5-* - split: train_all_q1 path: data/train_all_q1-* - split: train_all_q2 path: data/train_all_q2-* - split: train_all_q3 path: data/train_all_q3-* - split: train_all_q4 path: data/train_all_q4-* - split: train_all_q5 path: data/train_all_q5-* ---
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