faceR-as/PanoQA-30K
PanoQA — Panoramic Sequence + Spatial QA Dataset Five-frame panoramic walks rendered in habitat-sim, each with RGB / depth / instance-ID equirectangular panoramas, camera poses, a fused point cloud, an object manifest, and English spatial-reasoning question–answer pairs grounded in the geometry. Every QA answer is computed from the actual 3D data (distances, bearings, visibility), not written by a language model. An LLM is used only to (a) rephrase the question wording and (b)… See the full description on the dataset page: https://huggingface.co/datasets/faceR-as/PanoQA-30K.
| Author / organization | faceR-as |
|---|---|
| License (as declared) | other |
| Downloads | 302 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 1 October 2026 |
| Last updated at source | 3 October 2026 |
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