layouts
Datasets
All datasets matching “layouts”SQuADDS_Layouts
SQuADDS Layouts - versioned GDS artifacts for superconducting quantum hardware
SQuADDS Layouts is the geometry-artifact companion to
SQuADDS_DB, the
Superconducting Qubit And Device Design and Simulation Database. It provides
checksum-verified GDS files, stable geometry identities, and machine-readable
geometry metadata so a simulation result can be traced to the exact layout
that produced it.
Homepage: https://lfl-lab.github.io/SQuADDS/
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/SQuADDS/SQuADDS_Layouts.LayoutSAM
LayoutSAM Dataset
Overview
The LayoutSAM dataset is a large-scale layout dataset derived from the SAM dataset, containing 2.7 million image-text pairs and 10.7 million entities. Each entity is annotated with a spatial position (i.e., bounding box) and a textual description.
Traditional layout datasets often exhibit a closed-set and coarse-grained nature, which may limit the model's ability to generate complex attributes such as color, shape, and texture.… See the full description on the dataset page: https://huggingface.co/datasets/HuiZhang0812/LayoutSAM.FloorplanQA-Layouts
FloorplanQA (Layouts Only)
This repository contains 2,000 JSON layouts used in the paper:
"FloorplanQA: A Benchmark for Spatial Reasoning in LLMs Using Structured Representations"
arXiv: https://arxiv.org/abs/2507.07644
Project Page: https://olddelorean.github.io/FloorplanQA/
Contents
600 synthetic kitchens
600 synthetic living rooms
600 synthetic bedrooms
200 layouts derived from HSSD-200
The release includes only the layouts.
Structure
layouts/… See the full description on the dataset page: https://huggingface.co/datasets/OldDelorean/FloorplanQA-Layouts.synthetic-bedroom-layouts
Synthetic Bedroom Layouts
4,000 procedurally composed bedroom layouts with 27,025 furniture placements,
in the box format used by indoor scene-synthesis models (ATISS-style boxes.npz).
Furniture is drawn from Amazon Berkeley Objects (CC BY 4.0), so the whole
dataset is redistributable and usable commercially.
Nothing here derives from 3D-FRONT, 3D-FUTURE, or any dataset that restricts
redistribution. Where the numbers came from is written out, value by value, in
PROVENANCE.md.… See the full description on the dataset page: https://huggingface.co/datasets/Spatial1ntelligence/synthetic-bedroom-layouts.LayoutSAM-eval
LayoutSAM-eval Benchmark
Overview
LayoutSAM-Eval is a comprehensive benchmark for evaluating the quality of Layout-to-Image (L2I) generation models. This benchmark assesses L2I generation quality from two perspectives: region-wise quality (spatial and attribute accuracy) and global-wise quality (visual quality and prompt following). It employs the VLM’s visual question answering to evaluate spatial and attribute adherence, and utilizes various metrics including IR score… See the full description on the dataset page: https://huggingface.co/datasets/HuiZhang0812/LayoutSAM-eval.layouts_procthor