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README.md
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Each article is chunked and vectorized using the [`BAAI/bge-m3`](https://huggingface.co/BAAI/bge-m3) embedding model, enabling use in **semantic search**, **retrieval-augmented generation (RAG)**, and **legal research** systems for example.
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The dataset is splitted in subfolders by 'category' and '
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Each article is chunked and vectorized using the [`BAAI/bge-m3`](https://huggingface.co/BAAI/bge-m3) embedding model, enabling use in **semantic search**, **retrieval-augmented generation (RAG)**, and **legal research** systems for example.
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The dataset is splitted in subfolders by 'category' and 'code', so that the dataset is more usable for specifics use cases.
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