A new dataset called EU AI Act OpenRAG has been released, containing 933 legally structured chunks of the EU AI Act and corresponding BGE-M3 embeddings. This dataset is designed for Retrieval-Augmented Generation (RAG) and legal Natural Language Processing (NLP) experiments, with chunks organized by the regulation's structural elements like articles and recitals, rather than simple character windows. Initial evaluations show improved performance on article recall and QA tasks compared to a baseline method. AI
IMPACT Provides a specialized dataset for legal AI applications, potentially improving RAG performance on regulatory documents.
RANK_REASON Release of a structured dataset and evaluation results for a specific NLP task. [lever_c_demoted from research: ic=1 ai=1.0]
- BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- EU AI Act
- OpenRAG
- SQLite
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