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LLM-OS-Models/korean-embedding-performance-v1-sionic-autorag-100k

Korean Embedding — Sionic AutoRAG domain 100K AutoRAG의 금융·상거래·법률 domain retrieval을 보강하기 위한 100,000-row performance dataset이다. F2LLM-v2 collection의 영어 FIQA/Amazon/Banking77과 중국어 e-commerce/legal QA를 query/positive/negative contrastive schema로 묶었다. 사용 조건과 평가 노출 release_eligible: false인 performance/non-commercial 연구용 composite다. 통합 라이선스는 other이며 F2 collection의 Apache-2.0 표기가 개별 upstream 권리를 재허가하지 않는다. AutoRAG evaluation repository, query, qrel, corpus는 loader 입력으로… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-autorag-100k.

sourceHugging Faceotherupdated 3mo agoView on Hugging Face

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