{"url":"/dataset/vatex-adverbs","name":"VATEX Adverbs","full_name":null,"description_markdown":"VATEX Adverbs is a subset from VATEX with extracted verb-adverb annotations. VATEX Adverbs contains 34 adverbs appearing across 135 actions, forming 1,550 unique action-adverb pairs in 14,617 video clips.\r\n\r\nSource: [How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs](https://arxiv.org/abs/2203.12344)","description_withheld":null,"homepage":"https://github.com/hazeld/pseudoadverbs","introduced_date":"2022-03-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/how-do-you-do-it-fine-grained-action","title":"How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs","first_author":"Hazel Doughty","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Actions","url":"/datasets/modality/actions"}],"tasks":[{"name":"Video-Adverb Retrieval","url":"/task/video-adverb-retrieval","datasets_with_task":"/datasets/task/video-adverb-retrieval"},{"name":"Video-Adverb Retrieval (Unseen Compositions)","url":"/task/video-adverb-retrieval-unseen-compositions","datasets_with_task":"/datasets/task/video-adverb-retrieval-unseen-compositions"}],"languages":[],"variants":["VATEX Adverbs"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-adverb-retrieval-unseen-compositions-on","task":"Video-Adverb Retrieval (Unseen Compositions)","dataset_variant":"VATEX Adverbs","rows":5,"metrics":["Acc-A"],"first_row_in_archive_order":{"model":"ReGaDa","paper":"/paper/video-adverb-retrieval-with-compositional","metrics":{"Acc-A":"61.7"},"code_links":[{"title":"ExplainableML/ReGaDa","url":"https://github.com/ExplainableML/ReGaDa"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-adverb-retrieval-on-vatex-adverbs","task":"Video-Adverb Retrieval","dataset_variant":"VATEX Adverbs","rows":4,"metrics":["Acc-A","mAP M","mAP W"],"first_row_in_archive_order":{"model":"ReGaDa","paper":"/paper/video-adverb-retrieval-with-compositional","metrics":{"Acc-A":"0.817","mAP M":"0.113","mAP W":"0.29"},"code_links":[{"title":"ExplainableML/ReGaDa","url":"https://github.com/ExplainableML/ReGaDa"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/video-adverb-retrieval-with-compositional","title":"Video-adverb retrieval with compositional adverb-action embeddings","date":"2023-09-26","rows_on_this_dataset":6,"code_links":1,"syntology":null},{"paper":"/paper/learning-action-changes-by-measuring-verb","title":"Learning Action Changes by Measuring Verb-Adverb Textual Relationships","date":"2023-03-27","rows_on_this_dataset":3,"code_links":1,"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."}