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README.md
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license: apache-2.0
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license: apache-2.0
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---
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# SpaceYL/Aerospatial_Dataset
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## Authors
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- **Youri LALAIN**, Engineering student at French Engineering School ECE
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- **Lilian RAGE**, Engineering student at French Engineering School ECE
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## Dataset Summary
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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.
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## Dataset Details
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- **Total Samples**: 700
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- **Splits**:
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- **Train**: 500 samples
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- **Validation**: 100 samples
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- **Test**: 100 samples
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- **Columns**:
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- `question`: The input question related to aerospace engines.
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- `answer`: The corresponding technical answer.
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- `context`: A structured dictionary providing additional metadata, including engine name and category.
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- **Languages**: French (`fr`)
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## Example Entries
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| question | answer | context |
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|----------|--------|---------|
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| Quelle est la pression dans la chambre de combustion du Vulcain 2 ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
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| À quelle pression fonctionne la chambre de combustion du moteur ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
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| Quelle pression atteint la chambre de combustion du Vulcain 2 ? | Pression chambre de combustion: 100 bar | { "category": "MAINTENANCE", "engine_name": "Vulcain 2" } |
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## How to Use
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You can load this dataset using the Hugging Face `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("SpaceYL/Aerospatial_Dataset")
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print(dataset["train"][0])
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