{"url":"/dataset/emowoz-1","name":"EmoWOZ","full_name":null,"description_markdown":"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.","description_withheld":null,"homepage":"https://zenodo.org/record/6506504","introduced_date":"2021-09-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/emowoz-a-large-scale-corpus-and-labelling","title":"EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems","first_author":"Shutong Feng","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial 4.0 International Public License","url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Emotion Recognition in Conversation","url":"/task/emotion-recognition-in-conversation","datasets_with_task":"/datasets/task/emotion-recognition-in-conversation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EmoWOZ"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/hhu-dsml/emowoz","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/emotion-recognition-in-conversation-on-emowoz","task":"Emotion Recognition in Conversation","dataset_variant":"EmoWoz","rows":6,"metrics":["Macro F1 (w/o Neutral)","Weighted F1 (w/o Neutral)","Macro F1","Weighted F1"],"first_row_in_archive_order":{"model":"COSMIC","paper":"/paper/emowoz-a-large-scale-corpus-and-labelling","metrics":{"Macro F1":"61.12","Macro F1 (w/o Neutral)":"56.34","Weighted F1":"85.94","Weighted F1 (w/o Neutral)":"77.09"},"code_links":[{"title":"dsml/emowoz-public","url":"https://gitlab.cs.uni-duesseldorf.de/general/dsml/emowoz-public"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/emotion-recognition-in-conversation-on-emowoz-1","task":"Emotion Recognition in Conversation","dataset_variant":"EmoWOZ","rows":1,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"CD-ERC","paper":"/paper/context-dependent-embedding-utterance","metrics":{"Macro F1":"65.33"},"code_links":[{"title":"patricia-pereira/cd-erc","url":"https://github.com/patricia-pereira/cd-erc"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/context-dependent-embedding-utterance","title":"Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations","date":"2023-04-17","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/emowoz-a-large-scale-corpus-and-labelling","title":"EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems","date":"2021-09-10","rows_on_this_dataset":5,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}