datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IndustryCorpus2_aerospace
IndustryCorpus2: Aerospace
This repository contains the IndustryCorpus2: Aerospace domain subset of BAAI/IndustryCorpus2.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryCorpus2:
@misc{shi2024industrycorpus2,
title = {IndustryCorpus2},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin Hao},
year = {2024}… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus2_aerospace.IndustryInstruction_Aerospace
IndustryInstruction: Aerospace
This repository contains the IndustryInstruction: Aerospace domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin Hao and… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Aerospace.shippingaeroground
AeroGround: An Open, Citation-Grounded Aviation Dataset for Trustworthy Domain LLMs
AeroGround is an open dataset for training and evaluating aviation language
models that answer from — and cite — authoritative, public-domain sources, and
that abstain when evidence is insufficient. Every grounded answer is traceable
to verbatim text from FAA Airman handbooks (FAA-H-8083 series) and Title 14 of
the U.S. Code of Federal Regulations (14 CFR).
Why this exists
AI has… See the full description on the dataset page: https://huggingface.co/datasets/tpattanayak/aeroground.AeroGround_v1
AeroGround
This repository provides an anonymized AeroGround benchmark package for double-blind review.
AeroGround is a benchmark for evaluating aerial--ground spatial understanding in paired aerial and ground-view observations. The benchmark contains question-answering instances, paired visual observations, task annotations, metadata, and evaluation scripts.
Repository Scope
This repository contains the benchmark package required to reproduce the main evaluation results… See the full description on the dataset page: https://huggingface.co/datasets/AeroGround/AeroGround_v1.aeroflow_v3_so101_pickplace_fixedcupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/zhangdebiao/aeroflow_v3_so101_pickplace_fixedcup.spc-tornado-history
NOAA / SPC Tornado History (1950–2024)
Bundled for Aerostratospheric / UOGW tornado-trend research. Source of record: NOAA Storm Prediction Center Severe Weather Database.
Contents
1950-2024_all_tornadoes.csv / 1950-2024_actual_tornadoes.csv — SPC actual tornado segment CSV
schema.json — provenance metadata
Bundled UTC: 2026-09-18T15:47:02Z
License / attribution
US Government work redistributed by SPC for public use. You must attribute NOAA/SPC… See the full description on the dataset page: https://huggingface.co/datasets/aerostratospheric/spc-tornado-history.aerogel-structural-manifold-integrity-v0.1Goal
Detect when an aerogel loses structural integrity before visible collapse.
Core idea
Aerogel failure is not a single crack.It is a distortion of the vibration–density–pore manifold.
Three signals must stay coherent:
densityelastic moduluspore network structure
When they decouple, collapse follows.
Inputs
bulk density
nanoindentation modulus
pore size distribution
load cycling
acoustic or strain indicators
Required outputs
structural_coherence_score
manifold_distortion_rate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aerogel-structural-manifold-integrity-v0.1.aeroflow_v12_so101_pickplace_fixedcupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/zhangdebiao/aeroflow_v12_so101_pickplace_fixedcup.aerograph-asrs
AeroGraph ASRS Dataset
2,000 real NASA Aviation Safety Reporting System (ASRS) incident reports
with LLM-extracted entities and relations for knowledge graph construction.
Dataset Description
This dataset contains processed ASRS incident narratives along with
structured entity and relation extractions conforming to an aviation
safety ontology (10 entity types, 8 edge types).
Reports Split
2000 reports from the NASA ASRS database
Fields: id, text, aircraft_type… See the full description on the dataset page: https://huggingface.co/datasets/Aryan95614/aerograph-asrs.f1-latent-cross-coupling-aero-balance-instability-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in Formula 1 aero-balance systems.
The goal is to identify race states in which aero balance may still appear outwardly stable or only mildly anomalous but already contains hidden internal instability that may activate into sudden balance loss once interacting pressures exceed containment.
Core structure
This dataset models a pre-failure geometry… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-aero-balance-instability-v0.1.aeroscope-adsb-anomaly-benchmark
AeroScope ADS-B Anomaly Benchmark v1
A free, openly-licensed benchmark for evaluating ADS-B anomaly and spoofing detectors. It pairs
real airborne ADS-B traffic with synthetically injected attacks following the standard taxonomy in the
ADS-B security literature, so detectors can be compared on a shared, labelled, reproducible dataset.
918 rows — 459 real / 459 injected (balanced)
38 documented columns — raw ADS-B fields, integrity fields (NIC/NACp/NACv/SIL), and derived… See the full description on the dataset page: https://huggingface.co/datasets/Muhammaduazir69/aeroscope-adsb-anomaly-benchmark.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.SalesDataaeroclub-recsys-2025-pairwiseafrica-mauritius-mean-wind-speed-and-highest-gusts-at-plaisance-aeronautica-18863eee
Mean Wind Speed and Highest Gusts At Plaisance Aeronautica | Africa (MDPA)
50 rows - 1 Africa country/area - 2005-2020 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 50 rows from MDPA, covering Mean Wind Speed and Highest Gusts At Plaisance Aeronautica. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-mean-wind-speed-and-highest-gusts-at-plaisance-aeronautica-18863eee.F1-aero-pressure-coherence-mapping-v0.1What this dataset tests
Whether a system can detectlocalized aero coherence lossfrom pressure sensor fields.
Focus
Platform coherencezone asymmetryvortex integritylocalized collapse zonesbalance shift risk
Required outputs
platform coherence score
zone pressure asymmetry index
vortex system integrity flags
localized collapse zones
balance shift risk score
All scores0 to 1
Higher coherencemeans unified platform.
Higher asymmetry and balance riskmean localized collapse is likely.
act_right_aerohand_cheetosThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 50,
"total_frames": 59056,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Fiberal/act_right_aerohand_cheetos.aero_5_pos_data_realThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 53,
"total_frames": 10960,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:53"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/devikaskumar/aero_5_pos_data_real.kanal-berita
KANAL — Indonesian news headlines, labelled by section
Indonesian news headlines and RSS summaries, labelled with the kanal (section)
their publisher filed them under. Collected hourly from public RSS feeds.
1,295 articles · 4 publishers ·
8 classes
Published between 2025-09-30 09:21:14 and
2026-07-30 11:55:49.
Built as the data layer of KANAL,
a model-lifecycle platform. Every figure below is computed from the file in this
repository, not asserted by hand.
What is… See the full description on the dataset page: https://huggingface.co/datasets/aeroo11/kanal-berita.F1-aero-platform-recovery-and-stability-gradient-v0.1What this dataset tests
Whether a system can maphow an aero platform recovers after localized collapseand identify fragile zones that persist.
Focus
Recovery pathstability gradient across zonespersistent imbalancerecovery latencyfragility hotspotsnext collapse risk
Required outputs
recovery path profile
stability gradient map
persistent imbalance flags
recovery latency score
fragility hotspots
next collapse risk score
All indices0 to 1
Higher latency and next riskmean slower… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/F1-aero-platform-recovery-and-stability-gradient-v0.1.africa-cote-d-ivoire-arrivee-des-touristes-internationaux-a-l-aeroport-felix-ho-c5229c85
Arrivee Des Touristes Internationaux a L Aeroport Felix Ho | Africa (Cote d'Ivoire DataFair)
58 rows - 1 Africa country/area - 1999-2009 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 58 rows from Cote d'Ivoire DataFair, covering Arrivee Des Touristes Internationaux a L Aeroport Felix Ho. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-arrivee-des-touristes-internationaux-a-l-aeroport-felix-ho-c5229c85.ac-text-embedding-ada-002-ams-testF1-aero-localized-collapse-trigger-detection-v0.1What this dataset tests
Whether a system can link disturbancesto localized aero collapse events.
Focus
Trigger typecollapse locationonset latencyrecovery timespread riskbalance shift linkage
Required outputs
trigger event type
trigger location zone
collapse onset latency
coherence recovery time
collapse spread risk
disturbance to balance shift score
All indices0 to 1
Timesin seconds
Higher spread riskmeans collapse likely propagates across the platform.
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.AeroPredict10K
Dataset Card for AeroPredict10K
Dataset for UIUC CS441 Final Project -- AeroPredict: Transformer-Based Real-Time Flight Delay Predictor
aviation-propulsion-aerodynamics-failure-horizon-intervention-mapping-v0.1What this dataset tests
Whether a system can turn detected decoherence
into an operational action plan.
It must estimate horizon,
choose intervention,
and define the decision window.
Required outputs
failure_horizon_minutes
recommended_derate_level
diversion_priority
stability_recovery_probability
intervention_window
action_rationale_channels
Scoring conventions
horizon is minutes to critical instability
diversion priority is low, medium, high, or urgent
intervention window is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-propulsion-aerodynamics-failure-horizon-intervention-mapping-v0.1.cascade-f1-tire-aero-brake-heat-oscillation-v0.1
F1 Tire–Aero–Brake Heat Oscillation Cascade
A quad coupling model for thermal-driven performance collapse in Formula 1.
This repository models how tire temperature, aerodynamic load, brake heat, and vertical oscillation interact to produce late-race instability.
It shifts analysis from component optimisation to interaction geometry.
What This Repo Demonstrates
You can:
• Score a setup state for cascade risk• Identify which interaction variables drive instability• Compare… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-tire-aero-brake-heat-oscillation-v0.1.africa-mauritius-mean-wind-speed-and-highest-gusts-at-plaisance-aeronautica-541f1ab6
Mean Wind Speed and Highest Gusts At Plaisance Aeronautica | Africa (MDPA)
384 rows - 1 Africa country/area - 2005-2020 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 384 rows from MDPA, covering Mean Wind Speed and Highest Gusts At Plaisance Aeronautica. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-mean-wind-speed-and-highest-gusts-at-plaisance-aeronautica-541f1ab6.cascade-f1-suspension-rideheight-aerostall-porpoise-v0.1
F1 Suspension–RideHeight–AeroStall–Porpoise Cascade
A quad coupling model for high-speed aerodynamic instability.
This repository models how suspension stiffness, ride height, aero stall margin, and vertical oscillation interact to produce porpoising and stall-driven performance collapse.
It shifts analysis from component tuning to interaction boundary mapping.
What This Repo Demonstrates
You can:
• Score a setup state for stall cascade risk• Identify which parameters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-f1-suspension-rideheight-aerostall-porpoise-v0.1.