{"url":"/dataset/sscbench","name":"SSCBench","full_name":null,"description_markdown":"SSCBench establishes a large-scale SSC benchmark in street views that facilitates the training of robust and generalizable SSC models. Overall, SSCBench consists of three subsets, including 38,562 frames for training, 15,798 frames for validation, and 12,553 frames for testing respectively, amounting totally to 66,913 frames.","description_withheld":null,"homepage":"https://github.com/ai4ce/SSCBench","introduced_date":"2023-06-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/sscbench-a-large-scale-3d-semantic-scene","title":"SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving","first_author":"Yiming Li","url":null},"license":null,"modalities":[],"tasks":[{"name":"3D Semantic Scene Completion","url":"/task/3d-semantic-scene-completion","datasets_with_task":"/datasets/task/3d-semantic-scene-completion"},{"name":"3D Semantic Scene Completion from a single RGB image","url":"/task/3d-semantic-scene-completion-from-a-single","datasets_with_task":"/datasets/task/3d-semantic-scene-completion-from-a-single"}],"languages":[],"variants":["SSCBench"],"data_loaders":[],"num_papers_in_archive":13,"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."}