{"url":"/dataset/b-t4sa","name":"B-T4SA","full_name":"B-T4SA","description_markdown":"","description_withheld":null,"homepage":"http://www.t4sa.it/","introduced_date":"2017-10-20","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Multimodal Sentiment Analysis","url":"/task/multimodal-sentiment-analysis","datasets_with_task":"/datasets/task/multimodal-sentiment-analysis"}],"languages":[],"variants":["B-T4SA"],"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/multimodal-sentiment-analysis-on-b-t4sa","task":"Multimodal Sentiment Analysis","dataset_variant":"B-T4SA","rows":7,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"AutoML-Based Fusion Approach","paper":"/paper/an-automl-based-approach-to-multimodal-image","metrics":{"Accuracy":"95.19"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/an-automl-based-approach-to-multimodal-image","title":"An AutoML-based Approach to Multimodal Image Sentiment Analysis","date":"2021-02-16","rows_on_this_dataset":2,"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."}