Create data/train.csv
Browse files- data/train.csv +11 -0
data/train.csv
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| 1 |
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diagnostic_signal_consistency,hypothesis_conflict_index,evidence_fragmentation_score,inference_stability_score,drift_gradient,logic_gap_pressure,context_loss_index,decision_coherence_score,label_diagnostic_logic_fragility
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| 2 |
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0.87,0.18,0.22,0.84,-0.17,0.20,0.19,0.88,0
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| 3 |
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0.79,0.27,0.31,0.73,-0.09,0.32,0.28,0.77,0
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| 4 |
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0.66,0.44,0.47,0.58,0.06,0.49,0.45,0.61,1
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| 5 |
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0.57,0.56,0.59,0.46,0.15,0.61,0.57,0.49,1
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| 6 |
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0.49,0.67,0.71,0.37,0.24,0.73,0.69,0.40,1
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| 7 |
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0.83,0.22,0.26,0.80,-0.14,0.24,0.22,0.85,0
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| 8 |
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0.43,0.74,0.79,0.32,0.31,0.81,0.76,0.34,1
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| 9 |
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0.72,0.38,0.41,0.65,0.01,0.43,0.39,0.69,0
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| 10 |
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0.54,0.61,0.64,0.42,0.18,0.66,0.61,0.45,1
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| 11 |
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0.89,0.16,0.20,0.86,-0.19,0.18,0.17,0.90,0
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