DARL-ASU/ShadeBench
Dataset Card for ShadeBench ShadeBench is a large-scale multimodal dataset for urban shade simulation and understanding, supporting tasks such as generation, segmentation, and 3D reconstruction. Originally introduced in the DeepShade project (IJCAI 2025), ShadeBench is an extended benchmark submitted to KDD 2026 (AI4Science Track), with improved spatial alignment, physically grounded solar modeling, and additional 3D geometry. Dataset Details Cities: 34… See the full description on the dataset page: https://huggingface.co/datasets/DARL-ASU/ShadeBench.
| Author / organization | DARL-ASU |
|---|---|
| Downloads | 167 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 February 2026 |
| Last updated at source | 26 March 2026 |
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167 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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