datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GenPoster100K
Dataset Card for GenPoster100K
Dataset Summary
GenPoster-100K is a large-scale dataset for content-aware graphic layout generation introduced in the SEGA paper.
The paper describes it as a high-quality poster dataset with layer-parseable source materials and rich metadata.
This repository provides a Hugging Face datasets loader implementation that reads the source release (BruceW91/GenPoster-100K) and exposes normalized examples with:
poster background image… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/GenPoster100K.graphwalks
GraphWalks: a multi hop reasoning long context benchmark
In Graphwalks, the model is given a graph represented by its edge list and asked to perform an operation.
Example prompt:
You will be given a graph as a list of directed edges. All nodes are at least degree 1.
You will also get a description of an operation to perform on the graph.
Your job is to execute the operation on the graph and return the set of nodes that the operation results in.
If asked for a breadth-first… See the full description on the dataset page: https://huggingface.co/datasets/openai/graphwalks.PKU-PosterLayout
Dataset Card for PKU-PosterLayout
Dataset Summary
PKU-PosterLayout is a content-aware visual-textual poster layout benchmark released with PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout. The paper defines the task as arranging predefined text, logo, and underlay elements on a non-empty poster canvas while considering both inter-element and inter-layer relationships. The original benchmark contains 9,974… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/PKU-PosterLayout.Mintaka_Graph_Features_T5-xl-ssm
Dataset Card for "Mintaka_Graph_Features_T5-xl-ssm"
More Information needed
PubLayNet
Dataset Card for PubLayNet
Dataset Summary
PubLayNet is a large document layout analysis dataset built by automatically matching XML representations and PDF content from more than one million PubMed Central Open Access articles. It contains more than 360,000 document images with COCO-style annotations for common layout elements such as text, title, list, table, and figure regions.
Supported Tasks and Leaderboards
The dataset supports document… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/PubLayNet.CreativePSD
Dataset Card for CreativePSD
Dataset Summary
CreativePSD is the PSD-derived graphic design dataset released with PSDesigner. Each example is a poster archive containing PSD tree text, structured layer metadata, tool-call trajectories, source image resources, and stepwise rendered images.
This loader keeps the contents of each poster_*.zip archive: all metadata text/JSON files, all raw_resource images, all rendering_imgs images, and a manifest of every member in… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/CreativePSD.Compact_OpenAIRE_citation_graph
📚 Compact OpenAIRE Citation Graph
Based on OpenAIRE Graph v11.1.1 (source on Zenodo).
The complete OpenAIRE citation graph, distilled into a handful of compact, analysis-ready files — the full scholarly citation network of the open-science ecosystem, small enough to actually work with.
Citation graphs at this scale are usually locked behind multi-terabyte dumps and heavyweight infrastructure. This dataset makes the entire OpenAIRE citation network loadable… See the full description on the dataset page: https://huggingface.co/datasets/Zmeos/Compact_OpenAIRE_citation_graph.graph-pannuke
Graph-PanNuke: A Cell-Graph Dataset for Nucleus Classification from PanNuke
Graph-PanNuke is a node-level classification dataset derived from the PanNuke pan-cancer histology dataset. We use all slides at 40× magnification. Each tissue patch is converted into a cell-graph where nodes represent detected cell nuclei and edges encode spatial proximity. The task is predicting the cell type of each nucleus across 5 classes. Note that node features describe cell morphology, texture… See the full description on the dataset page: https://huggingface.co/datasets/ogutsevda/graph-pannuke.Graph200K
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
[Paper] [Project Page] [Github]
[🤗 Online Demo]
[🤗 Full Model Card (Diffusers)] [🤗 LoRA Model Card (Diffusers)]
Graph200k is a large-scale dataset containing a wide range of distinct tasks of image generation. If you find Graph200k is helpful, please consider to star ⭐ the Github Repo. Thanks!
📰 News
[2025-5-15] 🤗🤗🤗 VisualCloze has been merged into the… See the full description on the dataset page: https://huggingface.co/datasets/VisualCloze/Graph200K.Rico
Dataset Card for Rico
Dataset Summary
Rico is a mobile app UI dataset for building data-driven design applications. The original dataset mines Android apps at runtime and exposes visual, textual, structural, and interactive design properties from more than 9.3k apps across 27 categories and more than 66k unique UI screens. This packaging provides metadata, screenshots, view hierarchies, and semantic annotations as separate configs.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/Rico.Text-Attributed-Graphs
Overview
This dataset covers the encoder embeddings and prediction results of LLMs of paper 'Model Generalization on Text Attribute Graphs: Principles with Lagre Language Models', Haoyu Wang, Shikun Liu, Rongzhe Wei, Pan Li.
Dataset Description
The dataset structure should be organized as follows:
/dataset/
│── [dataset_name]/
│ │── processed_data.pt # Contains labels and graph information
│ │── [encoder]_x.pt # Features extracted by different encoders
│… See the full description on the dataset page: https://huggingface.co/datasets/Graph-COM/Text-Attributed-Graphs.GraphRAG-Bench
GraphRAG-Bench : A Comprehensive Benchmark for Evaluating Graph Retrieval-Augmented Generation Models
🎉News •
📖About •
🏆Leaderboards •
🧩Task Examples
🔧Getting Started •
📬Contact •
📝Citation
This repository is for the GraphRAG-Bench project, a comprehensive benchmark for evaluating Graph Retrieval-Augmented Generation models.
🎉 News
[2025-05-25] We release GraphRAG-Bench, the benchmark for evaluating GraphRAG… See the full description on the dataset page: https://huggingface.co/datasets/GraphRAG-Bench/GraphRAG-Bench.GBC10M
Graph-based captioning (GBC) is a new image annotation paradigm that combines the strengths of long captions, region captions, and scene graphs
GBC interconnects region captions to create a unified description akin to a long caption, while also providing structural information similar to scene graphs.
** The associated data point can be found at demo/water_tower.json
Description and data format
The GBC10M dataset, derived from the original images in CC12M, is… See the full description on the dataset page: https://huggingface.co/datasets/graph-based-captions/GBC10M.Graph-Algorithmsmm-graph
Multimodal Graph Benchmark
Paper: https://huggingface.co/papers/2406.16321
Project Page: https://mm-graph-benchmark.github.io/
Code: https://github.com/mm-graph-benchmark/mm-graph-benchmark
This repo contains all the datasets used in "Multimodal Graph Benchmark".
THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE… See the full description on the dataset page: https://huggingface.co/datasets/mm-graph-org/mm-graph.python-image-copilot-training-using-import-knowledge-graphs
Python Copilot Image Training using Import Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 216642
Size: 211.2 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-import-knowledge-graphs.python-image-copilot-training-using-class-knowledge-graphs
Python Copilot Image Training using Class Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 312277
Size: 304.3 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-class-knowledge-graphs.cvefixes-security-ir-graphrag
CVEfixes Security IR GraphRAG
This is a content-addressed, remotely routable Security IR release of the exact pinned CVEfixes snapshot. It packages the byte-identical original Parquet data together with a searchable corpus, BM25 postings, CUDA-generated vectors, typed graph nodes and edges, bounded adjacency indexes, and a source-CID-to-original-row lookup.
All entries are inert, non-authoritative evidence. Candidate and formal-logic rows cannot grant execution authority; exact… See the full description on the dataset page: https://huggingface.co/datasets/Publicus/cvefixes-security-ir-graphrag.PrismLayersPro
PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models
We introduce PrismLayersPro, a 20K high-quality multi-layer transparent image dataset with rewritten style captions and human filtering.
PrismLayersPro is curated from our 200K dataset, PrismLayers, generated via MultiLayerFLUX.
Dataset Structure
📑 Dataset Splits (by Style)
The PrismLayersPro dataset is divided into 21 splits based on visual style categories.Each… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/PrismLayersPro.GraphQAGraphResidual-data
GraphResidual data package
Public research dataset package for the GraphResidual repository. It contains
source datasets, derived benchmark tables, processed graph tables, and graph
artifacts used by the ESM-2 and AMPLIFY-120M experiments.
Layout
data_raw/: source data and model assets used by the released experiments.
data_benchmark/: benchmark splits, candidate sets, and audit tables.
data_processed/: processed node, edge, and label tables.… See the full description on the dataset page: https://huggingface.co/datasets/Marcochris/GraphResidual-data.dach_bike_graph
DACH Bike + Rail Routing Graph
A prebuilt, ready-to-route cycling + railway graph covering Germany, Austria, and Switzerland (DACH), stored as lat/lon-tiled GeoParquet. Built from OpenStreetMap by the Bike Route Optimizer for flat-preferring, surface-aware bike routing that can also hop on a train uphill.
Everything routing needs is baked in — node elevations and full 3D edge geometry — so an application downloads this once and routes offline, with no Overpass and no elevation… See the full description on the dataset page: https://huggingface.co/datasets/MichaelMedek/dach_bike_graph.CGL-Dataset
Dataset Card for CGL-Dataset
Dataset Summary
CGL-Dataset is a poster layout dataset released with Composition-aware Graphic Layout GAN for Visual-Textual Presentation Designs. The paper studies layout generation for a given image, emphasizing that both global semantics and spatial image composition affect where graphic elements should be placed. The original dataset contains 60,548 advertising posters with annotated layout information.
Supported… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/CGL-Dataset.LiBMap-46800-NCM811-GraphiteLiBMap-46800-NCM811-Graphite
A Design–Performance Dataset for Cylindrical NCM811/Graphite Lithium-Ion Cells
Developed jointly by Tsinghua University and Electroder Ltd.
For dataset enquiries: Chang Liming Email: clm24@mails.tsinghua.edu.cn
Contents
Overview — scope, provenance, and the present public subset
Design Space — five varied porous-electrode design parameters
Performance Simulations — protocols and termination conditions
Data Tables and… See the full description on the dataset page: https://huggingface.co/datasets/liming-chang/LiBMap-46800-NCM811-Graphite.CGL-Dataset-v2
Dataset Card for CGL-Dataset v2
Dataset Summary
CGL-Dataset v2 is an advertising-poster layout dataset released with Relation-Aware Diffusion Model for Controllable Poster Layout Generation. The paper argues that poster layouts should account for both visual-textual relationships and geometry relationships between elements. This version extends CGL-Dataset with richer element annotations, text annotations, and text features for controllable poster layout… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/CGL-Dataset-v2.Hi-Graph HiGraph: A Large-Scale Hierarchical Graph Dataset
Hierarchical Graph Dataset for Malware Analysis with Function Call Graphs and Control Flow Graphs
A comprehensive hierarchical graph-based dataset for malware analysis and detection.
Overview • Interactive Explorer • Download
Overview
HiGraph is a novel, large-scale dataset that models each application as a hierarchical graph: a local Control Flow Graph… See the full description on the dataset page: https://huggingface.co/datasets/hzcheney/Hi-Graph.python-audio-copilot-training-using-class-knowledge-graphs
Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each class method has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path identifier.
Rows:… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-class-knowledge-graphs.sma-evidence-graph
SMA Evidence Graph
An open-source, evidence-first dataset for Spinal Muscular Atrophy (SMA) drug research.
Description
This dataset contains structured evidence extracted from PubMed papers, clinical trials
from ClinicalTrials.gov, computationally generated hypotheses, AI-designed molecules,
and DiffDock molecular docking results — all linking gene targets to potential
therapeutic interventions for SMA.
Built by a researcher who has SMA, this dataset aims to accelerate… See the full description on the dataset page: https://huggingface.co/datasets/SMAResearch/sma-evidence-graph.metal-python-synthetic-explanations-gpt4-graphcodebertpython-audio-copilot-training-using-function-knowledge-graphs
Python Copilot Audio Training using Global Functions with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each global function has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-function-knowledge-graphs.