README.md

---
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])