datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.synthetic_data_v5_finegrain_layout_relight_with_our_synthetic_data_coco_l_full_500kfunsd-layoutlmv3regulated_layout_dataset_v9_20260802ndl-layout-dataset
NDL-DocL Kotenseki Layout Dataset (YOLO format)
A YOLO-formatted conversion of the kotenseki (pre-modern Japanese materials, 古典籍資料)
subset of the NDL-DocL dataset published by the National Diet Library of Japan (NDL).
Source dataset: https://github.com/ndl-lab/layout-dataset
Source images: NDL Digital Collections https://dl.ndl.go.jp/
国立国会図書館が公開する NDL-DocL データセットのうち、古典籍資料を
YOLO 形式（Ultralytics 互換）に変換したものです。
This is a modified/derived version. The bounding boxes were converted… See the full description on the dataset page: https://huggingface.co/datasets/nakamura196/ndl-layout-dataset.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.layout_diffusion_hypersimThis repository contains the data for SceneCraft: Layout-Guided 3D Scene Generation.
Project page: https://orangesodahub.github.io/SceneCraft
Code: https://github.com/OrangeSodahub/SceneCraft
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.RealDoc-Bench-Layout
RealDocBench-Layout
A 1,500-page document-layout benchmark for evaluating layout-detection
models on real-world documents. COCO-style annotations across 9 block
classes.
Contents
images/ — 1,500 page images (PNG / JPG / occasional WebP-as-PNG; see Caveats).
annotations/<pageId>.json — per-page COCO files, each with a single
image record, an annotations list, a categories list, and a
page_info block.
manifest.csv — pageId → domain + source URLs. The canonical row… See the full description on the dataset page: https://huggingface.co/datasets/Extend-AI/RealDoc-Bench-Layout.layout_distribution_shiftSORIE_layoutlmv2
Dataset Card for "SORIE_layoutlmv2"
More Information needed
docbank-layout
Support the Project ☕
If you find this dataset helpful, please support me with a mocha:
Dataset Summary
DocBank is a large-scale dataset tailored for Document AI tasks, focusing on integrating textual and layout information. It comprises 500,000 document pages, divided into 400,000 for training, 50,000 for validation, and 50,000 for testing. The dataset is generated using a weak supervision approach, enabling efficient annotation of document structures… See the full description on the dataset page: https://huggingface.co/datasets/astrologos/docbank-layout.LayoutOrderingHardsynthetic-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.question_LayoutLMDocVQA_LayoutLM_features
Dataset Card for "DocVQA_LayoutLM_features"
More Information needed
layoutbench
LayoutBench
Release of LayoutBench dataset from Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation (CVPR 2024 Workshop)
See also LayoutBench-COCO for zero-shot evaluation on OOD layouts with real objects.
[Project Page]
[Paper]
Authors:
Jaemin Cho,
Linjie Li,
Zhengyuan Yang,
Zhe Gan,
Lijuan Wang,
Mohit Bansal
Summary
LayoutBench is a diagnostic benchmark that examines layout-guided image generation models on arbitrary, unseen layouts.… See the full description on the dataset page: https://huggingface.co/datasets/j-min/layoutbench.regulated_layout_dataset_v10_202608303d_layout_reasoningDataset for MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
Github: https://github.com/PzySeere/MetaSpatial
SQuADDS_Layout_Embeddings
SQuADDS Layout Embeddings
Versioned layout representations for the 24,106 GDS artifacts in
SQuADDS/SQuADDS_Layouts.
Static embedding model v0
static-embedding-v0 implements the original SQuADDS proof-of-concept model:
v0 = parameter_sum + geometric_moments + flattened_shape_bitmap
Each unit-normalized vector has 9,227 dimensions:
Block
Dimensions
Contents
Parameter sum
1
Permutation- and parameter-count-invariant sum of numerical design options… See the full description on the dataset page: https://huggingface.co/datasets/SQuADDS/SQuADDS_Layout_Embeddings.persian-ocr-community-dataset-layout
Persian OCR Community Layout Annotations
Resumable layout annotations for the page images in
Reza2kn/persian-ocr-community-dataset.
Each row points to an exact source dataset revision, Parquet shard, blob, and row. It includes the
page identifier, page dimensions, handwriting flag, and structured layout boxes produced by
datalab-to/surya_layout2 at confidence threshold
0.4.
The boxes field contains label, confidence, raster-order position, and pixel coordinates
x0, y0, x1, y1.… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/persian-ocr-community-dataset-layout.LayoutPrompterA collection of datasets used in LayoutPrompter (NeurIPS2023).
Specifically, publaynet and rico are downloaded from LayoutFormer++, posterlayout is downloaded from DS-GAN, and webui is downloaded from Parse-Then-Place.
We sincerely thank them for the great work they do.
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.realm_layoutDocVQA_layoutLM
Dataset Card for "DocVQA_layoutLM"
More Information needed
CIVQA-TesseractOCR-LayoutLM
CIVQA TesseractOCR LayoutLM Dataset
The Czech Invoice Visual Question Answering dataset was created with Tesseract OCR and encoded for the LayoutLM.
The pre-encoded dataset can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR
All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices.
Invoice number
Variable… See the full description on the dataset page: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR-LayoutLM.regulated_layout_dataset_v8_20260709layouts_procthorlayout_reconstruction
layout_reconstruction
Real-robot teleoperation demonstrations of the layout_reconstruction task on a single-arm Franka Research 3 cell,
released in four LeRobot layouts. Every layout is a conversion of the same 80 raw episodes
(37,559 frames at 10 Hz); the layouts differ only in the LeRobot codebase version and in the
action representation.
directory
LeRobot version
action (action)
consumer
lerobot_v21_abs_joint/
v2.1
8-D absolute joint targets + gripper
RLDX-1 loader… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/layout_reconstruction.Layout_Synthetic_Data