Datasets › RRS

RRS (Restoration-200k for Response Selection)

Introduced by Tian Lan et al. in Exploring Dense Retrieval for Dialogue Response Selection13 Oct 2021 archive 2025-07-28

Train Validation Test Ranking Test
size 0.4M 50K 5K 800
pos:neg 1:1 1:9 1.2:8.8 -
avg turns 5.0 5.0 5.0 5.0

Ranking test set contains the high-quality responses that selected by some baselines, and their correlation with the conversation context are carefully annotated by 8 professional annotators (the average annotation scores are saved for ranking). For ranking test set, the metrics should be NDCG@3 and NDCG@5, since the correlation scores are provided. More details are available in the Appendix of the paper.

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
Conversational Response Selection RRS BERT-FP MAP 0.702 Fine-grained Post-training for Improving Retrieval-based... hanjanghoon/BERT_FP 7 Compare

Papers archive 2025-07-28

7 shown of 7 papers 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 8. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

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

  • RRS

1 variant name, as the archive lists them.

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