Datasets › SQA3D
SQA3D (Situated Question Answering in 3D Scenes)
SQA3D is a dataset for embodied scene understanding, where an agent needs to comprehend the scene it situates from an first person's perspective and answer questions. The questions are designed to be situated, embodied and knowledge-intensive. We offer three different modalities to represent a 3D scene: 3D scan, egocentric video and BEV picture.
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| 3D Question Answering (3D-QA) | SQA3D | LLaVA-3D Exact Match 60.1 | LLaVA-3D: A Simple yet Effective Pathway to Empowering... | — | 13 | Compare |
| Question Answering | SQA3D | CREMA AnswerExactMatch (Question Answering) 54.6 | CREMA: Generalizable and Efficient Video-Language... | Yui010206/CREMA | 7 | Compare |
| Referring Expression | SQA3D | Random Acc@0.5m 14.60 | SQA3D: Situated Question Answering in 3D Scenes | SilongYong/SQA3D | 1 | Compare |
Papers archive 2025-07-28
18 shown of 18 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 58. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SQA3D
1 variant name, as the archive lists them.
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