{"url":"/dataset/erato","name":"ERATO","full_name":null,"description_markdown":"**ERATO** is a large-scale multi-modal dataset for Pairwise Emotional Relationship Recognition (PERR). It has 31,182 video clips, lasting about 203 video hours. Different from the existing datasets, ERATO contains interaction-centric videos with multi-shots, varied video length, and multiple modalities including visual, audio and text","description_withheld":null,"homepage":"https://github.com/CTI-VISION/PERR","introduced_date":"2021-09-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/pairwise-emotional-relationship-recognition","title":"Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark","first_author":"Xun Gao","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["ERATO"],"data_loaders":[],"num_papers_in_archive":2,"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."}