{"url":"/dataset/pro-text","name":"PRO-teXt","full_name":null,"description_markdown":"PRO-teXt is an extension of PROXD with the inclusion of text prompts to synthesize objects. There are 180/20 interactions for training/testing in PRO-teXt. Each interaction involves a linguistic command corresponding to an existing room arrangement.","description_withheld":null,"homepage":"https://lang-scene-synth.github.io/","introduced_date":"2023-10-24","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[],"tasks":[{"name":"3D Semantic Scene Completion","url":"/task/3d-semantic-scene-completion","datasets_with_task":"/datasets/task/3d-semantic-scene-completion"},{"name":"Indoor Scene Synthesis","url":"/task/indoor-scene-synthesis","datasets_with_task":"/datasets/task/indoor-scene-synthesis"}],"languages":[],"variants":["PRO-teXt"],"data_loaders":[{"repo":"https://github.com/andvg3/LSDM","url":"https://github.com/andvg3/LSDM","frameworks":["pytorch"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-semantic-scene-completion-on-pro-text","task":"3D Semantic Scene Completion","dataset_variant":"PRO-teXt","rows":4,"metrics":["F1","CD","CMD"],"first_row_in_archive_order":{"model":"LSDM","paper":null,"metrics":{"CD":"0.5365","CMD":"0.5906","F1":"0.5160"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/indoor-scene-synthesis-on-pro-text","task":"Indoor Scene Synthesis","dataset_variant":"PRO-teXt","rows":4,"metrics":["CD","EMD","F1"],"first_row_in_archive_order":{"model":"LSDM","paper":"/paper/language-driven-scene-synthesis-using-multi-1","metrics":{"CD":"0.5365","EMD":"0.5906","F1":"0.5160"},"code_links":[{"title":"andvg3/LSDM","url":"https://github.com/andvg3/LSDM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/language-driven-scene-synthesis-using-multi-1","title":"Language-driven Scene Synthesis using Multi-conditional Diffusion Model","date":"2023-10-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":6,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/scene-synthesis-from-human-motion","title":"Scene Synthesis from Human Motion","date":"2023-01-04","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/mime-human-aware-3d-scene-generation","title":"MIME: Human-Aware 3D Scene Generation","date":"2022-12-08","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/atiss-autoregressive-transformers-for-indoor","title":"ATISS: Autoregressive Transformers for Indoor Scene Synthesis","date":"2021-10-07","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":6,"samples_ran":6,"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."}