Tim2190/kaz-rag-search-benchmark
Kaz-RAG-Search-Benchmark Evidence-based benchmark for Kazakh information retrieval — the independent proof base for the Kazakh Stemmer. Corpus: 8,370 passages from Kazakh Wikipedia Queries: 300 queries × 3 categories (natural / inflected / vocabulary-gap) Format: BEIR-compatible — three subsets: corpus, queries, qrels Browse the data: use the subset switcher at the top of the Data Studio viewer to move between corpus (Kazakh passages), queries (the 300 questions), and qrels… See the full description on the dataset page: https://huggingface.co/datasets/Tim2190/kaz-rag-search-benchmark.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face