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cmoyacal/hotel-strict-train-p-a0p90-seed7

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Hugging Face2026-03-30 更新2026-04-12 收录
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--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: metadata struct: - name: correlation_mode dtype: string - name: option_one_utility dtype: float64 - name: option_two_utility dtype: float64 - name: spurious_tracking struct: - name: both_correlated dtype: bool - name: hotel_a struct: - name: assignment_type dtype: string - name: correlation_applied dtype: bool - name: correlation_direction dtype: string - name: correlation_mode dtype: string - name: random_roll dtype: float64 - name: threshold dtype: float64 - name: utility dtype: float64 - name: was_high_utility dtype: bool - name: hotel_b struct: - name: assignment_type dtype: string - name: correlation_applied dtype: bool - name: correlation_direction dtype: string - name: correlation_mode dtype: string - name: random_roll dtype: float64 - name: threshold dtype: float64 - name: utility dtype: float64 - name: was_high_utility dtype: bool - name: mixed_correlation dtype: bool - name: neither_correlated dtype: bool - name: true_label dtype: string splits: - name: train num_bytes: 15306213 num_examples: 10000 download_size: 2493407 dataset_size: 15306213 configs: - config_name: default data_files: - split: train path: data/train-* ---
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