{"url":"/dataset/a2d-referring-expressions","name":"A2Dre","full_name":"Subset of A2D Sentences which are not trivial","description_markdown":"We obtain A2Dre by selecting only instances that were labeled as non-trivial, which are 433 REs from 190 videos. We do not use the trivial cases as the analysis of such examples is not relevant, as referents can be described by using the category alone. Each annotator was presented with a RE, a video in which the target object was marked by a bounding box, and a set of questions paraphrasing our categories. A2Dre was annotated by 3 authors of the paper. Our final set of category annotations used for analysis was derived by means of majority voting: for each nontrivial RE, we kept all category labels which were assigned to the RE by at least two annotators.","description_withheld":null,"homepage":"https://github.com/imatge-upc/refvos","introduced_date":"2020-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/refvos-a-closer-look-at-referring-expressions","title":"RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation","first_author":"Miriam Bellver","url":null},"license":{"name":"MIT License","url":"https://github.com/imatge-upc/refvos/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Referring Expression Segmentation","url":"/task/referring-expression-segmentation","datasets_with_task":"/datasets/task/referring-expression-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["A2Dre","A2Dre test"],"data_loaders":[{"repo":"https://github.com/imatge-upc/refvos","url":"https://github.com/imatge-upc/refvos","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/referring-expression-segmentation-on-a2dre","task":"Referring Expression Segmentation","dataset_variant":"A2Dre test","rows":1,"metrics":["Overall IoU","Mean IoU"],"first_row_in_archive_order":{"model":"RefVos","paper":"/paper/refvos-a-closer-look-at-referring-expressions","metrics":{"Mean IoU":"33.2","Overall IoU":"47.5"},"code_links":[{"title":"miriambellver/refvos","url":"https://github.com/miriambellver/refvos"},{"title":"imatge-upc/refvos","url":"https://github.com/imatge-upc/refvos"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/refvos-a-closer-look-at-referring-expressions","title":"RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation","date":"2020-10-01","rows_on_this_dataset":1,"code_links":2,"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."}