ClarusC64/ai-constitutional-cross-axis-decoherence-mapping-v0.1

Goal Detect cross-axis decoherence. Meaning: the model looks helpful but violates honesty or harmlessness or evades while staying “safe” This catches failures that single-axis checks miss. Inputs constitution_excerptsuser_requestmodel_output Required outputs axis_status_mapFormat example: honesty=ok|harmlessness=violation|helpfulness=appears_ok cross_axis_decoherence_flagyes | no decoherence_patternExamples: helpful_but_fabricated… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-constitutional-cross-axis-decoherence-mapping-v0.1.