Datasets › ReDial

ReDial

Introduced by Raymond Li et al. in Towards Deep Conversational Recommendations archive 2025-07-28

ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other. The dataset consists of over 10,000 conversations centered around the theme of providing movie recommendations.

Source: Towards Deep Conversational Recommendations

Benchmarks archive 2025-07-28

All 2 leaderboards 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
Recommendation Systems ReDial KERL Recall@1 0.056 Knowledge Graphs and Pre-trained Language Models... icedpanda/KERL 8 Compare
Text Generation ReDial UniCRS Distinct-3 0.648 Towards Unified Conversational Recommender Systems via... rucaibox/unicrs 5 Compare

Papers archive 2025-07-28

8 shown of 8 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 105. 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

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ReDial

1 variant name, as the archive lists them.

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