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---
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:
```python
from datasets import load_dataset
dataset = load_dataset("SpaceYL/Aerospatial_Dataset")
print(dataset["train"][0]) |