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Dataset · Hugging Face

TUKE-KEMT/reranking-skquad

This dataset is designed for training and evaluating reranking models for Slovak information retrieval. It is structured to provide, for each query, a set of relevant (positive) and irrelevant (negative) documents. This format is particularly useful for evaluation of cross-encoder models. The dataset is generated from three source files: A queries.jsonl file containing user queries. A corpus.jsonl file containing a large set of documents. A qrels.jsonl file that provides human-judged… See the full description on the dataset page: https://huggingface.co/datasets/TUKE-KEMT/reranking-skquad.

Author / organizationTUKE-KEMT
License (as declared)cc-by-sa-4.0
Downloads148 (as reported by Hugging Face)
Likes0
Created30 September 2025
Last updated at source11 December 2025
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