{"url":"/dataset/cmacd","name":"CMACD","full_name":"Chinese Multi-label Affective Computing Dataset","description_markdown":"This study collected data from the major social media platform Weibo, screening 11,338 valid users from over 50,000 individuals with diverse MBTI personality labels and acquiring 566,900 posts along with the user MBTI personality tags. Using the EQN method, we compiled a multi-label Chinese affective computing dataset that integrates the same user's personality traits with six emotions and micro-emotions, each annotated with intensity levels. \r\nThis dataset is designed to advance machine recognition of complex human emotions and provide data support for research in psychology, education, marketing, finance, and politics.","description_withheld":null,"homepage":"","introduced_date":"2024-11-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-chinese-multi-label-affective-computing","title":"A Chinese Multi-label Affective Computing Dataset Based on Social Media Network Users","first_author":"Jingyi Zhou","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["CMACD"],"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."}