Datasets › EmoWOZ

EmoWOZ

Introduced by Shutong Feng et al. in EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems10 Sep 2021 archive 2025-07-28

EmoWOZ is the first large-scale open-source dataset for emotion recognition in task-oriented dialogues. It contains emotion annotations for user utterances in the entire MultiWOZ (10k+ human-human dialogues) and DialMAGE (1k human-machine dialogues collected from our human trial). Overall, there are 83k user utterances annotated. In addition, the emotion annotation scheme is tailored to task-oriented dialogues and considers the valence, the elicitor, and the conduct of the user emotion.

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.

Papers archive 2025-07-28

2 shown of 2 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 10. 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

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

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution-NonCommercial 4.0 International Public License

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • EmoWOZ

1 variant name, as the archive lists them.

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