{"url":"/dataset/scanents3d","name":"ScanEnts3D","full_name":null,"description_markdown":"**Scan Entities in 3D** (**ScanEnts3D**) is a large-scale dataset which provides explicit correspondences between 369k objects across 84k natural referentural sentences, covering 705 real-world scenes.\r\n\r\nSource: []()\r\n\r\nImage Source: [https://scanents3d.github.io/](https://scanents3d.github.io/)","description_withheld":null,"homepage":"https://scanents3d.github.io/","introduced_date":"2022-12-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/scanents3d-exploiting-phrase-to-3d-object","title":"ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes","first_author":"Ahmed Abdelreheem","url":null},"license":{"name":"Creative Commons Attribution-ShareAlike 4.0 International License","url":"http://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ScanEnts3D"],"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."}