id stringclasses 10
values | window_type stringclasses 2
values | crisis_type stringclasses 4
values | time_axis_hours stringclasses 1
value | coherence_drop_series stringclasses 10
values | divergence_pairs_over_time stringclasses 8
values | narrative_tone_series stringclasses 8
values | lab_vital_alignment_series stringclasses 7
values | medication_effect_series stringclasses 8
values | dissonance_topology stringclasses 5
values | topology_evidence stringclasses 10
values | failure_signature stringclasses 4
values | constraints stringclasses 1
value | gold_checklist stringclasses 8
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MSDT-001 | crisis_window | sepsis | -48,-36,-24,-12,-6,0 | 5,8,15,28,45,70 | none,none,vitals_vs_labs,vitals_vs_narrative,vitals_vs_narrative | neutral,neutral,concern,alarm,alarm,code | aligned,aligned,partial,misaligned,misaligned | no_effect,no_effect,delayed,delayed,none | slow_friction_build | Gradual coherence erosion with increasing narrative alarm before collapse | none | Under 220 words. | 1 slow build |
MSDT-002 | crisis_window | cardiac_arrest | -48,-36,-24,-12,-6,0 | 4,5,6,8,62,95 | none,none,none,none,labs_vs_narrative | neutral,neutral,neutral,neutral,neutral,code | aligned,aligned,aligned,aligned,misaligned | no_effect,no_effect,no_effect,no_effect,no_effect | sudden_decoupling | Abrupt lab–narrative split immediately before arrest | none | Under 220 words. | 1 sudden |
MSDT-003 | crisis_window | delirium | -48,-36,-24,-12,-6,0 | 6,9,18,22,30,40 | none,none,labs_vs_narrative,labs_vs_narrative,vitals_vs_narrative | neutral,poor_sleep,restless,confused,agitated,unsafe | aligned,partial,partial,misaligned,misaligned | benzo_added,worse,worse,worse | oscillatory_instability | Repeated narrative shifts with partial recovery then worsening | none | Under 220 words. | 1 oscillation |
MSDT-004 | crisis_window | sepsis | -48,-36,-24,-12,-6,0 | 3,4,5,6,8,60 | none,none,none,none,vitals_vs_labs | neutral,neutral,neutral,neutral,neutral,collapse | aligned,aligned,aligned,aligned,misaligned | no_effect,no_effect,no_effect,no_effect | masked_instability | Minimal warning then abrupt physiological failure | masked | Under 220 words. | 1 masked |
MSDT-005 | crisis_window | delirium | -48,-36,-24,-12,-6,0 | 10,12,15,14,13,12 | labs_vs_narrative,labs_vs_narrative,labs_vs_narrative,none,none | concern,concern,neutral,neutral,neutral,stable | misaligned,misaligned,misaligned,aligned,aligned | sleep_protocol,improves,improves,stable | stabilization_false_positive | Early dissonance resolves then falsely appears stable before crash | false_stable | Under 220 words. | 1 false stable |
MSDT-006 | control_window | none | -48,-36,-24,-12,-6,0 | 3,3,3,3,3,3 | none,none,none,none,none | neutral,neutral,neutral,neutral,neutral,neutral | aligned,aligned,aligned,aligned,aligned | no_effect,no_effect,no_effect,no_effect | stabilization_false_positive | Control window without true instability | control | Under 220 words. | 1 control |
MSDT-007 | crisis_window | sepsis | -48,-36,-24,-12,-6,0 | 6,10,14,18,22,35 | none,vitals_vs_labs,vitals_vs_labs,vitals_vs_labs,labs_vs_narrative | neutral,neutral,concern,concern,alarm,alarm | partial,partial,partial,misaligned | delayed,delayed,delayed | slow_friction_build | Stepwise erosion across streams before escalation | none | Under 220 words. | 1 friction |
MSDT-008 | crisis_window | cardiac_arrest | -48,-36,-24,-12,-6,0 | 5,6,7,8,9,85 | none,none,none,none,labs_vs_narrative | neutral,neutral,neutral,neutral,neutral,code | aligned,aligned,aligned,aligned,misaligned | no_effect | sudden_decoupling | Sharp final divergence without earlier signal | none | Under 220 words. | 1 sudden |
MSDT-009 | crisis_window | delirium | -48,-36,-24,-12,-6,0 | 8,12,10,15,18,25 | labs_vs_narrative,none,labs_vs_narrative,none,vitals_vs_narrative | restless,neutral,restless,neutral,confused,agitated | partial,aligned,partial,aligned,misaligned | opioid_adjust,improves,worsens,worsens | oscillatory_instability | Alternating partial recoveries with net decline | none | Under 220 words. | 1 oscillatory |
MSDT-010 | control_window | none | -48,-36,-24,-12,-6,0 | 4,4,4,4,4,4 | none,none,none,none,none | neutral,neutral,neutral,neutral,neutral,neutral | aligned,aligned,aligned,aligned,aligned | no_effect | stabilization_false_positive | Stable control without true dissonance | control | Under 220 words. | 1 control |
What this dataset tests
Whether a model can classify the shape of coherence loss
before a clinical crisis.
It rewards
- recognizing divergence topology
- ignoring disease labels
- focusing on structure
Dissonance topologies
- slow_friction_build
- sudden_decoupling
- oscillatory_instability
- masked_instability
- stabilization_false_positive
Typical failures
- labeling sudden collapse as gradual
- confusing oscillation with noise
- missing false stabilization
Suggested prompt wrapper
System
You classify pre-crisis dissonance topology.
User
Coherence Drop Series
{coherence_drop_series}
Divergence Pairs
{divergence_pairs_over_time}
Narrative Tone
{narrative_tone_series}
Return
- one dissonance_topology
- one sentence evidence
Citation
ClarusC64 dataset family
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