datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AviationQAAviationQA is introduced in the paper titled- There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering
https://aclanthology.org/2022.icon-main.26/
The paper is accepted in the main conference of ICON 2022.
We create a synthetic dataset, AviationQA, a set of 1 million factoid QA pairs from 12,000 National Transportation Safety Board (NTSB) reports using templates. These QA pairs contain questions such that answers to them are… See the full description on the dataset page: https://huggingface.co/datasets/sakharamg/AviationQA.faa-aviation-safety-rollups
FAA wildlife strikes, laser incidents and drone sightings — analysis-ready rollups
Three United States FAA safety datasets, cleaned and rolled up into small tabular
files you can load without touching the source archives.
This is not a copy of the FAA's raw releases. Those are already public and
large. What is here is the part that does not exist upstream in this form:
stable slugs, consistent naming, and per-airport / per-species / per-state /
per-aircraft / per-year rollups… See the full description on the dataset page: https://huggingface.co/datasets/himaxym/faa-aviation-safety-rollups.ntsb-aviation-accidents
NTSB Aviation Records 2008–August 2026
1,000-row public sample; full dated six-table snapshot: $79 once.
31,124 NTSB events across six verified tables, with preserved source fields, validated joins and separately typed dates, injury counts and decimal coordinates.
Rebuilt from the official September 1, 2026 avall.zip revision retrieved September 19, 2026. Actual event coverage is 2008-01-01 through 2026-08-27.
The sample is the first 1,000 events ordered by ev_id. It is… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/ntsb-aviation-accidents.aviation-lightning-strike-density-reroute-coherence-risk-v0.1What this repo is for
Detect when flight rerouting
does not match real storm risk.
Flags
high lightning but no reroute
low lightning but heavy reroute
fuel burn spikes
delay cascades
High relevance for
airlines
ATC
flight planning systems
climate-weather analytics
aviation-connection-bank-miss-risk-coherence-v0.1What this repo is for
Detect when small inbound delays
trigger outsized missed connections.
Flags
missed connections spike despite good buffer
rebooking capacity too low for demand
baggage misconnect rises with bank stress
delays convert into passenger disruption
aviation-flight-control-phase-space-distortion-detection-v0.1What this dataset tests
Whether a system can detect early geometric distortion
of the control phase-space attractor.
Distortion includes:
envelope widening
lag growth
asymmetric warp
oscillatory jitter
energy waste via hysteresis.
Required outputs
distortion_onset_flight_window
dispersion_growth_rate
distortion_pattern_type
degradation_likelihood
primary_affected_surface
confounder_flags
Scoring conventions
onset is a flight index interval: flights X-Y
growth rate is dispersion… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-flight-control-phase-space-distortion-detection-v0.1.aviation-volcanic-ash-routing-coherence-risk-v0.1What this repo is for
Detect when flights
are not responding correctly
to volcanic ash hazards.
Flags
ash present but flights continue
reroutes with no ash
engine exposure risk
delay cascades tied to ash misread
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.aviation-runway-configuration-wind-coherence-risk-v0.1What this repo is for
Detect when runway configuration
no longer matches wind reality.
Flags
crosswind exceedance with no runway change
runway change without wind driver
go-around spikes tied to config delay
aviation-gate-assignment-arrival-bank-coherence-risk-v0.1What this repo is for
Detect when arrivals land
but cannot park.
Flags
dense arrival bank with low gate availability
slow gate turns creating holding
remote stand use rising without bank pressure
gate holds as a downstream delay trigger
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.
aviation-propulsion-aerodynamics-coherence-baseline-v0.1What this dataset tests
Whether a system can model the normal coupling
between propulsion parameters and aerodynamic state.
The signal is relationship shape and lag
not threshold breaches.
Required outputs
coupling_coherence_index
baseline_correlation_matrix
phase_alignment_score
stability_envelope
lag_profile
baseline_confidence
Scoring conventions
all scores range 0 to 1
stability envelope is a low-high interval
lag profile describes expected response delays in seconds… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-propulsion-aerodynamics-coherence-baseline-v0.1.aviation-convective-storm-cell-avoidance-coherence-risk-v0.1What this repo is for
Detect when convective storms
drive airspace disruption
and whether the response matches the hazard.
Flags
high storm density with weak rerouting
heavy holding with no storm driver
delay cascades that do not match convection signal
aviation-global-route-disruption-coherence-risk-v0.1What this repo is for
Detect when global route disruptions
outpace network adaptation.
Flags
route availability drops but reroute capacity low
adaptation speed lags disruption size
diversion rate spikes with spreading delays
system enters global gridlock mode
aviation-jetstream-shift-route-time-coherence-risk-v0.1What this repo is for
Detect when routing decisions fail to match jetstream reality.
You use it to flag
jetstream shift with no route response
route changes with no wind justification
rising block time and fuel burn tied to wind misread
planned reroute that misses the real corridor
aviation-crew-duty-schedule-coherence-risk-v0.1What this repo is for
Detect when crew duty limits
and schedule pressure
fall out of alignment.
Flags
duty limits exceeded without swap
delay cascade with no crew mitigation
cancellations caused by crew timing drift
aviation-network-delay-cascade-coherence-risk-v0.1What this repo is for
Detect when a delay at one airport
spreads across the network.
Flags
low buffer with rising hub delay
crew or aircraft rotation tight
downstream delay spike
cancellation cascade
aviation-fuel-cost-speed-routing-coherence-risk-v0.1
What this repo is for
Detect when airlines
burn too much fuel
to recover schedule
or fail to recover when needed.
Flags
high fuel burn with low schedule pressure
no speed adjustment under high delay pressure
routing changes that increase cost without benefit
fuel cost spikes tied to schedule recovery
aviation-maintenance-deferral-flight-safety-coherence-risk-v0.1What this repo is for
Detect when deferred maintenance
and flight dispatch
fall out of alignment.
Flags
repeated defects without new restrictions
aged deferrals with no operational response
cancellations or diversions linked to ignored risk
us-adventure-aviation-ntsb-2026
US Adventure Aviation Operators vs. NTSB Federal Accident Records (2026)
Sector-level matching of 4,278 US adventure aviation operators — air tours,
balloon rides, and skydiving — against the NTSB permanent federal accident
record (49 CFR Part 830 mandatory filings). 1,932 accident records matched,
including 448 fatal accidents.
Key finding: the mandatory federal disclosure regime produces a complete
safety record, but consumers booking these experiences have no practical… See the full description on the dataset page: https://huggingface.co/datasets/shawnzreports/us-adventure-aviation-ntsb-2026.aviation-clear-air-turbulence-altitude-route-coherence-risk-v0.1What this repo is for
Detect when turbulence risk rises
but flight profile does not respond.
Flags
high CAT risk with no altitude change
large deviations with low CAT drivers
injury events following under-response
aviation-aircraft-rotation-maintenance-coherence-risk-v0.1What this repo is for
Detect when fleet rotation plans
leave no room for maintenance.
Flags
high utilization with low window slack
rising deferral pressure
tail swaps as early stress signal
unscheduled maintenance events
aviation-pilot-vehicle-decoherence-source-attribution-v0.1What this dataset tests
Whether a system can correctly identifythe source of pilot–vehicle loop decoherence.
Sources may be:
pilotaircraftenvironmentmixednone
Key insightCorrect attribution determinesthe correct recovery action.
Required outputs
primary_decoherence_source
source_confidence
resonance_pattern_type
escalation_likelihood
contributing_factors
attribution_rationale
Use case
Layer two of Pilot–Vehicle Loop Coherence Under Stress.Feeds adaptive intervention and crew… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-pilot-vehicle-decoherence-source-attribution-v0.1.aviation-weather-system-capacity-coherence-collapse-risk-v0.1What this repo is for
Detect when
weather intensity
exceeds airspace capacity
before full network collapse.
Flags
storms without mitigation
reroute load exceeding sector capacity
diversion spikes without ground stops
gridlock risk forming across network
aviation-incident-precursor-operational-coherence-risk-v0.1What this repo is for
Detect when incident precursors
start clustering
without matching mitigations.
Flags
go-around clusters with no corrective actions
runway-wind mismatch left uncorrected
severe weather plus low crew margin
high maintenance deferral pressure
precursor stacks that predict incident risk
abbas829_pakistan-aviation-statistics-20062024
Pakistan Aviation Statistics (2006–2024)
A Comprehensive 18-Year Analysis of Passenger, Cargo, and Flight Traffic Flows i
Dataset Info
Source: Kaggle
Original Size: 0.02 MB
Kaggle Downloads: 40
Files: 1
Files
pakistan_aviation_data.csv
Mirrored from Kaggle
aviation-pilot-vehicle-adaptive-intervention-and-recovery-mapping-v0.1What this dataset tests
Whether a system can turn loop decoherenceinto stabilizing action under time pressure.
It must estimate:
riskrecovery windowbest adaptive interventionexpected post-action stability.
Required outputs
loss_of_control_risk
recovery_window_seconds
recommended_adaptive_action
intervention_priority
recovery_confidence
post_action_stability_expectation
Use case
Layer three of Pilot–Vehicle Loop Coherence Under Stress.
Supports:
enhanced crew alerting
adaptive… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-pilot-vehicle-adaptive-intervention-and-recovery-mapping-v0.1.aviation-turnaround-ground-ops-coherence-risk-v0.1What this repo is for
Detect when turnaround plans
and ground reality
fall out of alignment.
Flags
fueling or baggage out of sync
crew not ready for departure
cascading delay from one aircraft to next
aviation-propulsion-aerodynamics-decoherence-precursor-detection-v0.1What this dataset tests
Whether a system can detect early decoherence
between propulsion behavior and aerodynamic response.
The signal is relationship drift:
lag expansion
correlation collapse
nonlinear divergence
oscillatory mismatch.
Required outputs
decoherence_onset_time
precursor_pattern_type
severity_gradient
failure_likelihood_index
estimated_time_to_critical_min
primary_decoupling_channels
Scoring conventions
onset time is minutes from window start
severity and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-propulsion-aerodynamics-decoherence-precursor-detection-v0.1.aviation-flight-control-integrity-horizon-maintenance-mapping-v0.1What this dataset tests
Whether a system can convert detected phase-space distortion
into a maintenance horizon and schedule.
The point is not fault blame.
It is safe remaining cycles and workload risk.
Required outputs
integrity_horizon_flights
maintenance_priority
workload_risk_index
oscillation_risk_probability
replacement_window
intervention_rationale
Scoring conventions
horizon is remaining flights to unacceptable integrity risk
workload and oscillation risk range 0 to 1… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-flight-control-integrity-horizon-maintenance-mapping-v0.1.