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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # VN Law Embedding
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+ VN Law Embedding is a Vietnamese text embedding model designed for Retrieval-Augmented Generation (RAG), specifically to retrieve precise legal documents in response to legal questions.
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+ The model is trained on a dataset of Vietnamese legal questions and corresponding legal documents and evaluated using an Information Retrieval Evaluator.
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+ It uses Matryoshka loss during training and can be truncated to smaller dimensions, allowing for faster comparisons between queries and documents without sacrificing performance.
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - truro7/vn-law-questions-and-corpus
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+ language:
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+ - vi
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ base_model: hiieu/halong_embedding
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+ pipeline_tag: sentence-similarity
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+ library_name: sentence-transformers
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+ tags:
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+ - legal
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+ ---
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+ ---
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+ license: apache-2.0
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+ ---