hakari-bench/NanoBEIR-sv
NanoBEIR-sv This dataset is a Nano-style retrieval dataset for HAKARI-bench. NanoBEIR-sv is the Swedish language-specific component of MNanoBEIR. It groups compact BEIR-derived retrieval tasks for efficient evaluation of document ranking in that language. Usage from datasets import load_dataset dataset_id = "hakari-bench/NanoBEIR-sv" split = "NanoArguAna" queries = load_dataset(dataset_id, "queries", split=split) corpus = load_dataset(dataset_id, "corpus"… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoBEIR-sv.
Add original NanoBEIR source link to README
Restore NanoNFCorpus full qrels and rebuild candidates
Update dataset README for reranking_hybrid candidates
Update dataset README for reranking_hybrid candidates
Add reranking_hybrid metadata
Update reranking_hybrid for reranking_hybrid candidates
Update harrier_oss_v1_270m for reranking_hybrid candidates
Update bm25 for reranking_hybrid candidates
Update qrels for reranking_hybrid candidates
Update queries for reranking_hybrid candidates
Update corpus for reranking_hybrid candidates
Update NanoBEIR BM25 candidates and README
Copy dataset from hotchpotch/NanoBEIR-sv-with-bm25
initial commit