Datasets › KUAKE-QQR

KUAKE-QQR (Query-Query Relevance Dataset)

Introduced by Ningyu Zhang et al. in CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark15 Jun 2021 archive 2025-07-28

KUAKE Query-Query Relevance, a dataset used to evaluate the relevance of the content expressed in two queries, is used for the KUAKE-QQR task. Similar to KUAKE-QTR, the task aims to estimate query-query relevance, which is an essential and challenging task in real-world search engines.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Natural Language Inference KUAKE-QQR BERT-base Accuracy 84.7 CBLUE: A Chinese Biomedical Language Understanding... cbluebenchmark/cblue +1 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark 2 1 15 Jun 2021 ran 4 of 16 samples (12 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • KUAKE-QQR

1 variant name, as the archive lists them.

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