{"url":"/dataset/bs-objaverse","name":"BS-Objaverse","full_name":null,"description_markdown":"BS-Objaverse 660k Dataset is a set of GPT4-Vision-powered multi-modal captions data. It is constructed to enhance modality alignment and fine-grained visual concept perception for describing detailed information about the shape, texture of Objaverse 3D object.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Zery/BS-Objaverse","introduced_date":"2024-05-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/bootstrap3d-improving-3d-content-creation","title":"Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data","first_author":"Zeyi Sun","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[],"variants":["BS-Objaverse"],"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."}