{"url":"/dataset/kd-emor","name":"KD-EmoR","full_name":"Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations","description_markdown":"KD-EmoR is socio-behavioral emotion dataset for emotion recognition in realistic conversation scenarios. It consists of total 12289 sentences from 1513 scenes of a Korean TV show named 'Three Brothers'.  The dataset is split into Training and testing sets.  Each sample consists of sentence_id, person(speaker), sentence, scene_ID, context(Scene description) labeled with one of the following complex emotion labels: euphoria, dysphoria and neutral. This dataset can be used to study Emotion recognition in Korean conversations.","description_withheld":null,"homepage":"https://sites.google.com/view/kd-emor","introduced_date":"2022-11-11","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Emotion Recognition in Conversation","url":"/task/emotion-recognition-in-conversation","datasets_with_task":"/datasets/task/emotion-recognition-in-conversation"},{"name":"Emotion Recognition in Context","url":"/task/emotion-recognition-in-context","datasets_with_task":"/datasets/task/emotion-recognition-in-context"}],"languages":[{"name":"Korean","url":"/datasets/language/korean"}],"variants":["KD-EmoR"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/emotion-recognition-in-conversation-on-kd","task":"Emotion Recognition in Conversation","dataset_variant":"KD-EmoR","rows":1,"metrics":["F1 (micro)"],"first_row_in_archive_order":{"model":"XAF-SS","paper":"/paper/korean-drama-scene-transcript-dataset-for","metrics":{"F1 (micro)":"0.6288"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/korean-drama-scene-transcript-dataset-for","title":"Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations","date":"2022-11-11","rows_on_this_dataset":1,"code_links":0,"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."}