{"url":"/dataset/smner","name":"Twitter-SMNER","full_name":null,"description_markdown":"This task aims to extract named entities and entity types while further predicting segmentation masks of visual objects.","description_withheld":null,"homepage":"","introduced_date":"2024-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/advancing-grounded-multimodal-named-entity","title":"Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation","first_author":"Jinyuan Li","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Segmented Multimodal Named Entity Recognition","url":"/task/segmented-multimodal-named-entity-recognition","datasets_with_task":"/datasets/task/segmented-multimodal-named-entity-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Twitter-SMNER"],"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/segmented-multimodal-named-entity-recognition","task":"Segmented Multimodal Named Entity Recognition","dataset_variant":"Twitter-SMNER","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"RiVEG","paper":"/paper/advancing-grounded-multimodal-named-entity","metrics":{"F1":"63.92"},"code_links":[{"title":"JinYuanLi0012/RiVEG","url":"https://github.com/JinYuanLi0012/RiVEG"},{"title":"jinyuanli0012/pgim","url":"https://github.com/jinyuanli0012/pgim"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/advancing-grounded-multimodal-named-entity","title":"Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation","date":"2024-06-11","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}