{"url":"/dataset/emobank","name":"EmoBank","full_name":null,"description_markdown":"**EmoBank** is a corpus of 10k English sentences balancing multiple genres, annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format. EmoBank excels with a bi-perspectival and bi-representational design. \r\n\r\nSource: [EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis](https://www.aclweb.org/anthology/E17-2092)","description_withheld":null,"homepage":"https://github.com/JULIELab/EmoBank","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC-BY-SA 4.0","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Emotion Classification","url":"/task/emotion-classification","datasets_with_task":"/datasets/task/emotion-classification"},{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EmoBank"],"data_loaders":[{"repo":"https://github.com/JULIELab/EmoBank","url":"https://github.com/JULIELab/EmoBank","frameworks":[]}],"num_papers_in_archive":32,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}