datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
us-airline-aerospace-defense-layoffs-warn-act-notices-daily
US airline, aerospace and defense layoffs — the actual WARN Act filings, rebuilt every day
Last rebuilt: 2026-09-22. 1,548 layoff and closure notices filed by
airlines and regional carriers, airport ground-handling and catering contractors, aircraft and engine makers, avionics and airfoil shops, and defense and space primes and their suppliers with US state labor departments — 307,642 workers,
301 employers, 45 states, 1989–2026.
172 of the notices (11.1%) were recorded by the… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/us-airline-aerospace-defense-layoffs-warn-act-notices-daily.aerospace-interpretation-assumption-control-v01Interpretation and Assumption Control v01
What this dataset is
This dataset evaluates whether a system handles incomplete or ambiguous aerospace information without inventing structure.
You give the model:
A partial flight, performance, or guidance task
Incomplete configuration or environmental data
An analysis request that appears reasonable
You ask it to choose a response.
PROCEED
CLARIFY
REFUSE
The correct move is often to stop.
Why this matters
Aerospace failures rarely come from math… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aerospace-interpretation-assumption-control-v01.ams_data_train_generic_v0.1_100Question and answer pairs for the first 100 entries of aerospace mechanism symposia 5000 word chunk entries. Full file of entries is here: https://github.com/dsmueller3760/aerospace_chatbot/blob/llm_training/data/AMS/ams_data_answers.jsonl
See this repository for details: https://github.com/dsmueller3760/aerospace_chatbot/tree/main
Prompts generated using TheBloke/Llama-2-7B-Chat-GGUF
ams_data_train_mistral_v0.1_100Question and answer pairs for the first 100 entries of aerospace mechanism symposia 5000 word chunk entries. Full file of entries is here: https://github.com/dsmueller3760/aerospace_chatbot/blob/llm_training/data/AMS/ams_data_answers.jsonl
See this repository for details: https://github.com/dsmueller3760/aerospace_chatbot/tree/main
Prompts generated using TheBloke/Llama-2-7B-Chat-GGUF
Format representative of mistral's instruct llms:
https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1… See the full description on the dataset page: https://huggingface.co/datasets/ai-aerospace/ams_data_train_mistral_v0.1_100.somosnlp-2026-aerospace
Dataset Card: Conjunto de Datos Aeroespacial y Cultural Completo
Resumen del Dataset
Este conjunto de datos ha sido diseñado específicamente para la evaluación cultural, lingüística y de alineación de Modelos de Lenguaje (LLMs) en el ámbito iberoamericano, con un foco especial en la historia aeroespacial, técnica, científica e histórica.
Contiene 1.716 interacciones de tipo conversacional (multi-turn) distribuidas en múltiples países de habla hispana y portuguesa.… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2026/somosnlp-2026-aerospace.regime-phase-recognition-aerospace-v01Regime and Phase Recognition v01
What this dataset is
This dataset evaluates whether a system recognizes when the governing aerospace regime or flight phase has changed.
You give the model:
Vehicle class and example
Speed or Mach number
Altitude and atmospheric context
Angle of attack or maneuver
A stated modeling assumption
You ask one question.
Are the same rules
still valid here
Why this matters
Aerospace failures often occur at boundaries.
Common failure patterns:
Treating transonic flow… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/regime-phase-recognition-aerospace-v01.aerospace_turbine_telemetry_logs