{"url":"/dataset/super-clevr-3d","name":"Super-CLEVR-3D","full_name":"Super-CLEVR-3D","description_markdown":"**Super-CLEVR-3D** is a visual question answering (VQA) dataset where the questions are about the explicit 3D configuration of the objects from images (i.e. **3D poses**, **parts**, and **occlusion**). It consists of objects from 5 categories: aeroplanes, buses, bicycles, cars and motorbikes. The rendered objects are from [CGParts](https://github.com/qliu24/render-3d-segmentation) dataset, with the same setting as [Super-CLEVR](https://arxiv.org/abs/2212.00259) dataset.","description_withheld":null,"homepage":"https://github.com/XingruiWang/superclevr-3D-question","introduced_date":"2023-10-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/3d-aware-visual-question-answering-about-1","title":"3D-Aware Visual Question Answering about Parts, Poses and Occlusions","first_author":"Xingrui Wang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Super-CLEVR-3D"],"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."}