{"url":"/dataset/vilco","name":"ViLCo","full_name":"ViLCo-Bench","description_markdown":"We propose the first standardized benchmark in multimodal continual learning for video data, defining protocols for training and metrics for evaluation. This standardized framework allows researchers to effectively compare models, driving advancements in AI systems that can continuously learn from diverse data sources.\r\n\r\nWe define the setup for three recent multimodal tasks in a continual learning setup: Moment Query (MQ), Natural Language Query (NLQ), and Visual Query (VQ). We also provide systematic insights into the challenges, gaps, and limitations of each video-text continual learning tasks.","description_withheld":null,"homepage":"https://github.com/cruiseresearchgroup/ViLCo","introduced_date":"2024-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/vilco-bench-video-language-continual-learning","title":"ViLCo-Bench: VIdeo Language COntinual learning Benchmark","first_author":"Tianqi Tang","url":null},"license":{"name":"MIT License","url":"https://github.com/cruiseresearchgroup/ViLCo?tab=MIT-1-ov-file#readme"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Question Answering","url":"/task/visual-question-answering-1","datasets_with_task":"/datasets/task/visual-question-answering-1"},{"name":"Natural Language Queries","url":"/task/natural-language-queries","datasets_with_task":"/datasets/task/natural-language-queries"},{"name":"Moment Queries","url":"/task/moment-queries","datasets_with_task":"/datasets/task/moment-queries"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ViLCo"],"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."}