metadata
license: mit
SpaceYL/Aerospatial_Dataset
Authors
- Youri LALAIN, Engineering student at French Engineering School ECE
- Lilian RAGE, Engineering student at French Engineering School ECE
Dataset Summary
The SpaceYL/Aerospatial_Dataset is a curated dataset designed for training language models in the field of aerospace and aeronautical engineering. It consists of structured question-answer pairs related to aerospace engines, particularly focusing on engine specifications, maintenance, and performance characteristics. The dataset is suitable for fine-tuning language models to assist in technical Q&A tasks related to aerospace engines.
Dataset Details
- Total Samples: 700
- Splits:
- Train: 500 samples
- Validation: 100 samples
- Test: 100 samples
- Columns:
question: The input question related to aerospace engines.answer: The corresponding technical answer.context: A structured dictionary providing additional metadata, including engine name and category.
- Languages: French (
fr)
Example Entries
| question | answer | context |
|---|---|---|
| Quelle est la pression dans la chambre de combustion du Vulcain 2 ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
| À quelle pression fonctionne la chambre de combustion du moteur ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
| Quelle pression atteint la chambre de combustion du Vulcain 2 ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
How to Use
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("SpaceYL/Aerospatial_Dataset")
print(dataset["train"][0])