datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aviation-flight-control-phase-space-baseline-modeling-v0.1What this dataset tests
Whether a system can model the normal control phase-space attractor
for fly-by-wire surface channels.
The target is phase-space geometry:
dispersion
hysteresis
overshoot
lag
energy efficiency.
Required outputs
phase_space_coherence_index
baseline_dispersion_envelope
command_response_lag_profile
control_energy_efficiency
baseline_confidence
Scoring conventions
indices range 0 to 1
dispersion envelope is a low-high interval
lag profile is p50 and p95 in… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-flight-control-phase-space-baseline-modeling-v0.1.chronos-historical-dataset-sdt-phase-classificationThe schema o fthe dataset is the following:
polityid: a Polity ID formatted with a standard method: 2 letters to indicate the area of origin of the culture, 3 letters to indicate the name of the polity, 1 letter to indicate the type of society (c=culture/community; n=nomads; e=empire; k=kingdom; r=republic) and 1 letter to indicate the periodization (t=terminal; l=late; m=middle; e=early; f=formative; i=initial; =any). For example “EsSpael” is the late Spanish Empire, “ItRomre” is the early… See the full description on the dataset page: https://huggingface.co/datasets/facells/chronos-historical-dataset-sdt-phase-classification.F1-tyre-phase-stability-field-mapping-v0.1What this dataset tests
Whether a system can measurethe stability of a tyre operating phasebefore degradation accelerates.
Focus
Thermal gradientslip variancevibration coherenceworking window margin
Required outputs
phase stability score
thermal gradient index
slip variance index
vibration coherence
working window margin
All scores0 to 1
Highermeans stable tyre phase.
F1-tyre-phase-collapse-and-recovery-dynamics-v0.1What this dataset tests
Whether a system can diagnosea tyre phase collapseand recommend the recovery or stop strategy.
Focus
Collapse pointrecovery feasibilitytime loss projectioncross-tyre propagation riskoptimal intervention window
Required outputs
phase collapse point
recovery feasibility
lap time loss projection
cross tyre propagation risk
optimal intervention window
All scores0 to 1
Lap time lossin seconds per lap.
Constraints
Telemetry only.Do not assume perfect… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/F1-tyre-phase-collapse-and-recovery-dynamics-v0.1.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.clinical-healing-trajectory-tokenization-phase-segmentation-v0.1What this dataset tests
Whether a model can segment high-frequency recovery datainto interpretable healing phases.
Required outputs
phase_sequence
phase_boundaries
phase_confidence_0_100
Token labels
acute_drop
early_rebound
consolidation_plateau
oscillatory_instability
secondary_drop
delayed_rebound
steady_ascent
maladaptive_plateau
recovery_lock_in
Boundary format
Use day indicesexampleacute_drop d0-d2
Typical failures
naming phases without boundaries… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-healing-trajectory-tokenization-phase-segmentation-v0.1.scs-phase-iiilegal-costs-budget-phase-scope-variance-coherence-risk-v0.1What this dataset does
You receive
budget by phase
assumptions
actual work
variance notes
client updates
approval status
You decide
coherent
or
incoherent
Daily use
overspend early warning
client surprise risk
variance justification QC
clinical-5node-proced-buf-lag-cpl-procedure-level-cascades-phase2-v0.1
What this repo does
This dataset is a Phase 2 procedure-level cascade index that models how procedure-linked pressure rises, physiologic buffer capacity erodes, response governance lags, and care-pathway coupling tightens across peri-operative and procedure settings, crossing a phase transition into an unrecoverable cascade state.
Core quad
procedbuflagcpl
Prediction target
label_cascade_state
Row structure
One row represents a procedure-level… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-proced-buf-lag-cpl-procedure-level-cascades-phase2-v0.1.reverse-eng-phase1reverse-eng-phase12F1-tyre-phase-transition-precursor-detection-v0.1What this dataset tests
Whether a system can detectnon-linear precursor signaturesbefore a tyre phase transition.
Focus
Topology changepattern recognitionlap-ahead warning
Required outputs
precursor pattern type
phase transition probability
laps to instability
thermal runaway risk
cliff likelihood score
All scores0 to 1
Lower lapsmeans closer to cliff.
This dataset rewardsearly, structurally grounded warnings.
pharma-adaptation-early-phase-detection-v0.1What this dataset tests
Whether a system can detect the earliest systemic adaptation to a drug.It evaluates how the human system begins to stabilize, compensate, or destabilize.
Required outputs
adaptation_onset_time
acute_response_pattern
coupling_shift_signature
stabilization_direction
early_compensation_flag
trajectory_seed_class
confidence_score
Use case
Early-phase trial interpretation.Predict long-term tolerance or durability from short-term data.Identify drugs that induce… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/pharma-adaptation-early-phase-detection-v0.1.legal-costs-budget-scope-phase-coherence-risk-v0.1