datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legal-disclosure-coherence-breach-detection-v0.1What this dataset is
You receive
disclosure duty
material
timing
defence access
prejudice signals
You decide
Does disclosure behaviour match the legal duty
Answer
coherent
or
incoherent
Why this matters
Many unsafe convictions arise from disclosure failure.
This dataset measures the structural gap between duty and behaviour.
legal-time-entry-billing-narrative-scope-coherence-risk-v0.1What this dataset does
You receive
scope
billing guidelines
time entries
fee earner level
billing narrative
duration and rates
flags
You decide
coherent
or
incoherent
Daily use
fee dispute risk scan
scope drift scan
block billing detection
seniority mismatch detection
autonomous-driving-rss-traffic-flow-coherence-state-scoring-v0.1What this dataset tests
Whether a system can score traffic-flow coherence
before and after an ego action.
This is not collision detection.
It measures systemic stability.
Required outputs
pre_action_coherence_score
post_action_coherence_score
coherence_delta
shockwave_generation_flag
braking_propagation_depth
systemic_risk_score
Scoring conventions
coherence scores range 0 to 1
coherence_delta may be negative or positive
shockwave flag is 0 or 1
braking propagation depth… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-rss-traffic-flow-coherence-state-scoring-v0.1.legal-billing-narrative-time-entry-coherence-risk-v0.1What this dataset does
You receive
time entries summary
phase and codes
invoice narrative
totals
dup flags
client updates
You decide
coherent
or
incoherent
Daily use
bill narrative QC
time entry duplication detection
dispute risk flagging
legal-time-entry-billing-task-scope-coherence-risk-v0.1What this dataset does
You receive
engagement scope
fee terms
time entries
file activity
red flags
You decide
coherent
or
incoherent
Daily use
invoice QA
stop vague billing
scope creep detection
reduce fee challenges
autonomous-driving-social-coherence-field-mapping-v0.1What this dataset tests
Whether a system can score
the coherence of a multi-agent intention field.
This is not collision prediction.
It is social alignment measurement.
Required outputs
dominant_scene_intention
coherence_score
tension_index
conflict_pairs
cooperative_clusters
right_of_way_clarity
Scoring conventions
coherence and tension range 0 to 1
right_of_way_clarity is low, medium, or high
conflict_pairs names agent pairs likely to contest the same space… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-social-coherence-field-mapping-v0.1.clinical-narrative-coherence-outcome-correlation-mapping-v0.1What this dataset tests
Whether narrative coherenceis structurally correlated withclinical outcomes and resilience.
Required outputs
narrative coherence score
outcome alignment score
resilience correlation index
relapse risk modifier
adherence influence signal
narrative–outcome relationship
Use case
Third layer of the Healing Narrative Coherence Corpus.
metamaterial-resonance-coherence-drift-detection-v0.1Goal
Detect when a metamaterial stops matching its designed resonance behavior.
Core idea
Emergent properties vanish when three things stop moving together:
unit cell geometrysimulated resonancemeasured scattering response
This dataset tests whether a model can detect that coherence loss.
Inputs
SEM-derived geometry features
simulated resonance and expected band behavior
measured scattering parameters and resonance shift
stress context (temperature, humidity, cycling)
Required outputs… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/metamaterial-resonance-coherence-drift-detection-v0.1.legal-pleading-cause-facts-remedy-coherence-risk-v0.1What this dataset does
You receive
causes pleaded
material facts
causation chain
remedy
consistency signals
missing element flags
You decide
coherent
or
incoherent
Daily use
pleading QC
missing element detection
remedy mismatch flag
amend required routing
legal-evidence-reliability-probativeness-coherence-v0.1What this dataset is
You receive
evidence type
reliability basis
probative claim
prejudice or confusion risk
gatekeeping signals
appellate posture
You decide
Does probative claim match reliability
Answer
coherent
or
incoherent
Why this matters
When coherence fails
evidence gets excluded
new trial risk rises
verdict stability collapses
legal-case-strategy-theory-evidence-coherence-v0.1What this dataset does
You receive
case theory
facts relied on
evidence available
weaknesses
moves
fallback
You decide
coherent
or
incoherent
Daily use
internal strategy checks
overreach detection
evidence gap flags
legal-procedure-substantive-right-coherence-v0.1Clarus Procedure–Substantive Right Coherence v0.1
This dataset tests whether procedural rules continue to serve the substantive rights they exist to protect.
Procedure is not neutral.
It is an instrument.
When procedure becomes detached from purpose, justice degrades while the system still appears lawful.
This dataset detects that detachment.
Core question
Does the procedural requirement meaningfully protect the underlying right.
Or has procedure become an obstacle to the right itself.
Core… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-procedure-substantive-right-coherence-v0.1.alphafold-folding-trajectory-functional-stability-coherence-v0.1What this dataset tests
Whether predicted folding trajectories
remain predictive of functional stability
under stress conditions.
Structure alone is not enough.
The path to structure must stay coherent
with real-world stability.
When that relationship breaks
therapeutic proteins fail
in storage
manufacturing
or use.
Required outputs
trajectory_coherence_score
stability_divergence_flag
degradation_horizon_hours
critical_structure_region
stabilization_strategy
Use case
Antibody engineering… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-folding-trajectory-functional-stability-coherence-v0.1.legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1What this dataset does
You receive
file status
pleadings or position
key facts
draft brief facts
draft brief issues
draft instructions
assumptions gaps
red flags
You decide
coherent
or
incoherent
Daily use
stop bad instructions to counsel
reduce wrong advice
reduce negligence exposure
improve briefing discipline
legal-counsel-instruction-brief-coherence-risk-v0.1What this dataset does
You receive
case summary
issues list
document pack
questions for advice
timeline
consistency signals
You decide
coherent
or
incoherent
Daily use
instruction pack QC
missing document flag
question clarity check
overreach detection
ffr-physiology-prediction-coherence-baseline-mapping-v0.1
Goal
Define the baseline coherencebetween AI-derived FFR predictionsand real physiological signals.
Signals include:
myocardial perfusion
wall motion
stress test results
vital signs
This dataset establisheswhat physiologically plausible alignmentlooks like.
Without this baselineimplausibility cannot be detected.
Required output
The model must provide:
physiological_coherence_score
interpretation of alignment error
baseline_label
Why this matters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiology-prediction-coherence-baseline-mapping-v0.1.fission-fuel-cladding-thermal-expansion-coherence-baseline-mapping-v0.1What this dataset tests
Whether a model can map the baseline coherent relationship between:
fuel pellet thermal expansion
cladding creep/strain
fission gas release
before failure risk emerges.
The goal is to learn the normal coupling surface across burnup cycles and identify early decoherence.
Required model outputs
coupling_score
decoupling_flag
Why it matters
Fuel rod failure rarely begins with a single threshold breach.
It begins when pellet expansion stops predicting cladding strain.
Or… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fission-fuel-cladding-thermal-expansion-coherence-baseline-mapping-v0.1.atc-conflict-detection-resolution-coherence-risk-v0.1What this repo is for
Detect when conflict resolution happens too late relative to detection.
Signals:
predicted time to conflict
resolution timing
separation margins
vectoring
altitude change
This predicts near-miss risk before separation loss.
clinical-staffing-patient-acuity-coherence-risk-v0.2
Clinical Staffing Patient Acuity Coherence Risk v0.2
What this is
A small dataset that tests one question:
Can you detect when a system is moving toward failure, not just under pressure?
This repo focuses on staffing stability in a clinical setting.
But the structure applies to any system where:
demand rises
capacity lags
coordination breaks
Run this first
Generate baseline predictions:
python baseline_heuristic.py data/tester.csv predictions.csv
Score them:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-staffing-patient-acuity-coherence-risk-v0.2.legal-precedent-following-coherence-loss-v0.1Clarus Precedent Following Coherence Loss v0.1
This dataset tests whether a court actually follows binding precedent.
Courts almost always cite precedent.
They do not always follow it.
Drift appears first in reasoning.
Then in outcome.
Then in reversal.
This dataset detects that drift early.
Core question
Does the lower court apply the controlling rule as written.
Or does the reasoning detach from it.
Task
Input includes
controlling precedent summary
binding legal test
lower court reasoning… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-precedent-following-coherence-loss-v0.1.legal-doctrine-evolution-coherence-trajectory-v0.1What this dataset is
You receive
doctrine state at t
transition signals
doctrine state at t+1
split or exception signals
workability or legitimacy signals
reform pressure signals
You decide
Is the doctrine evolution stable
Answer
coherent
or
incoherent
Why this matters
Incoherent trajectories predict
overruling events
doctrinal collapse
rapid rule change
institutional instability
legal-disclosure-review-relevance-privilege-coherence-v0.1What this dataset does
You receive
doc metadata
doc snippet
issues list
relevance tag
privilege tag
redaction choice
reason text
You decide
coherent
or
incoherent
Daily use
review QC
privilege leak prevention
over-redaction detection
consistency checks
datacenter-thermal-performance-coherence-risk-v0.1What this repo is for
Detect when heat and performance start to decouple.
Focus
• hotspot temperature vs throttling
• cooling margin vs p95 latency stability
• fan headroom vs sustained load
• early drift before alarms and shutdowns
Why it matters
Many outages are preceded by thermal drift.
Operators see it as “random latency.”
This dataset turns it into an early warning signal.
clinical-pre-explanation-coherence-synthesis-v0.2
Clinical Pre Explanation Coherence Synthesis v0.2
What this is
A small dataset that tests one question:
Can you detect when a clinical reasoning system is moving toward pre-explanation failure, not just carrying ambiguity?
This repo focuses on coherence synthesis before explanation locks in.
It models a system where:
signal clarity may degrade
clinical context may lose alignment
latent pattern coherence may weaken
inference gaps may widen before interpretation stabilizes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-pre-explanation-coherence-synthesis-v0.2.clinical-counterfactual-coherence-optimal-path-selection-v0.1What this dataset tests
Whether a model can choose the counterfactual path that maximizessystemic coherence versus the real outcome.
Required outputs
optimal_intervention_choice
coherence_score_delta
justification_narrative
Choice set
REAL
CF1
CF2
CF3
Coherence means
explains and stabilizes multi-stream signals
avoids iatrogenic oscillation
reduces complication risk
supports a stable recovery basin
Typical failures
picking the highest single metric
skipping… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-counterfactual-coherence-optimal-path-selection-v0.1.aviation-pilot-vehicle-loop-coherence-state-estimation-v0.1What this dataset tests
Whether a system can estimate the coherenceof the pilot–aircraft control loopduring abnormal phases.
Key insightLoss of control beginswith loop misalignmentbefore any hard limits are exceeded.
Required outputs
loop_coherence_index
resonance_stability_band
control_lag_profile
correction_efficiency_score
baseline_deviation
Use case
Layer one of Pilot–Vehicle Loop Coherence Under Stress.Feeds attribution and adaptive intervention systems.
energy-grid-phase-coherence-baseline-mapping-v0.1What this dataset tests
Whether a system can model the baseline coherence structureof wide-area grid synchronization.
It treats the grid as a coupled phase systemacross geographic regions.
Inputs
average frequency and variance
phase angle spread between regions
intertie loading
load stress
reactive reserve
inertia proxy
Required outputs
regional_phase_coherence_index
cross_region_sync_strength
baseline_stability_margin
drift_rate
stress_localization
Use case
Layer 1 of… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/energy-grid-phase-coherence-baseline-mapping-v0.1.legal-attendance-note-instruction-action-coherence-v0.1What this dataset does
You receive
note summary
instructions
advice
actions with owners
deadlines
consistency signals
You decide
coherent
or
incoherent
Daily use
call note QC
instruction capture check
deadline and ownership check
dispute prevention
legal-file-handover-knowledge-action-deadline-coherence-risk-v0.1What this dataset does
You receive
handover summary
key facts
strategy
tasks
deadlines
new actions
You decide
coherent
or
incoherent
Daily use
transfer QC
missed deadline prevention
strategy drift detection
legal-client-instruction-action-coherence-risk-v0.1What this dataset does
You receive
instruction record
timing
action taken
urgency context
confirmation
mismatch flags
You decide
coherent
or
incoherent
Daily use
instruction gap scan
premature action detection
authority risk reduction
