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---
license: mit
---
# Benchmark embedding models course
This repository gives you access to large datasets for the embedding models course. Since these files are too big for GitHub, you’ll find them in the [datasets](https://huggingface.co/datasets/ImadSaddik/BenchmarkEmbeddingModelsCourse/tree/main/datasets) folder. Each file includes:
- Text chunks taken from documents.
- Questions that can be answered using those chunks.
## Data format
Each JSON file looks like this:
```json
{
"chunks": [
{
"id": 0,
"text_chunk": "",
"embeddings": {
"gemini-embedding-001": [],
}
},
...
],
"question_answer_pairs": [
{
"chunk_id": 0,
"question": "",
"embeddings": {
"gemini-embedding-001": [],
}
},
...
]
}
```
- Every `text_chunk` and `question` has an `embeddings` field.
- The `embeddings` field stores dense vectors from different models.
## How to use
1. Download this repository, or just the JSON files you need.
2. Put the files in the `data/embeddings/` folder of the [Benchmark_Embedding_Models](https://github.com/ImadSaddik/Benchmark_Embedding_Models) repository.
3. You’ll use these files in the following notebooks:
- [5_1_BenchmarkModelsManually.ipynb](https://github.com/ImadSaddik/Benchmark_Embedding_Models/blob/main/notebooks/5_1_BenchmarkModelsManually.ipynb)
- [5_2_BenchmarkModelsRanx.ipynb](https://github.com/ImadSaddik/Benchmark_Embedding_Models/blob/main/notebooks/5_2_BenchmarkModelsRanx.ipynb)
## License
This repository is licensed under the [MIT License](./LICENSE).
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