{"url":"/dataset/micro-emotion-dataset","name":"micro-emotion dataset","full_name":"Supplementary annotated Goemotions dataset (micro-emotion labels with energy level intensity values ​​(0-10)","description_markdown":"The EQN framework is a micro-emotion annotation and detection system that realizes the automatic micro-emotion annotation of text with energy level scores for the first time. The text emotion datasets it annotates are no longer simple single-label or multi-label, but macro-emotions and micro-emotions with continuous values ​​of emotion intensity. The labeling of emotion datasets has changed from discrete to continuous. It plays an important role in the subtle research of emotions in fields such as emotional computing, human-computer alignment, humanoid robots, and psychology.","description_withheld":null,"homepage":"","introduced_date":"2024-11-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/expansion-quantization-network-an-efficient","title":"Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Framework","first_author":"Jingyi Zhou","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["micro-emotion dataset"],"data_loaders":[],"num_papers_in_archive":1,"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."}