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--- |
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license: mit |
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--- |
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# LEANN-RAG Evaluation Data |
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This repository contains the necessary data to run the recall evaluation scripts for the [LEANN-RAG](https://huggingface.co/LEANN-RAG) project. |
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## Dataset Components |
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This dataset is structured into three main parts: |
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1. **Pre-built LEANN Indices**: |
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* `dpr/`: A pre-built index for the DPR dataset. |
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* `rpj_wiki/`: A pre-built index for the RPJ-Wiki dataset. |
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These indices were created using the `leann-core` library and are required by the `LeannSearcher`. |
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2. **Ground Truth Data**: |
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* `ground_truth/`: Contains the ground truth files (`flat_results_nq_k3.json`) for both the DPR and RPJ-Wiki datasets. These files map queries to the original passage IDs from the Natural Questions benchmark, evaluated using the Contriever model. |
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3. **Queries**: |
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* `queries/`: Contains the `nq_open.jsonl` file with the Natural Questions queries used for the evaluation. |
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## Usage |
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To use this data, you can download it locally using the `huggingface-hub` library. First, install the library: |
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```bash |
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pip install huggingface-hub |
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``` |
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Then, you can download the entire dataset to a local directory (e.g., `data/`) with the following Python script: |
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```python |
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from huggingface_hub import snapshot_download |
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snapshot_download( |
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repo_id="LEANN-RAG/leann-rag-evaluation-data", |
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repo_type="dataset", |
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local_dir="data" |
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) |
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``` |
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This will download all the necessary files into a local `data` folder, preserving the repository structure. The evaluation scripts in the main [LEANN-RAG Space](https://huggingface.co/LEANN-RAG) are configured to work with this data structure. |
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