{"url":"/dataset/multi-class-depression-detection-dataset","name":"Multi-Class Depression Detection Dataset","full_name":null,"description_markdown":"This dataset was created as part of the Master's thesis titled \"Multi-Class Depression Detection Through Tweets Using Artificial Intelligence.\" It contains tweets labeled for five types of depression (Bipolar, Major, Psychotic, Atypical, and Postpartum) using lexicons verified by psychiatrists. Click to add a brief description of the dataset (Markdown and LaTeX enabled).","description_withheld":null,"homepage":"https://zenodo.org/records/14233292","introduced_date":"2024-04-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-class-depression-detection-through","title":"Multi Class Depression Detection Through Tweets using Artificial Intelligence","first_author":"Muhammad Osama Nusrat","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":null},"modalities":[],"tasks":[{"name":"Twitter Sentiment Analysis","url":"/task/twitter-sentiment-analysis","datasets_with_task":"/datasets/task/twitter-sentiment-analysis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Multi-Class Depression Detection 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."}