datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Gastric-X
Gastric-X
Multi-phase abdominal CT cohort paired with structured laboratory panels
and free-text radiology reports, in proficient medical English with
the original Simplified Chinese preserved alongside.
Changelog
2026-06-26
Added per-phase organ masks (<phase>_organ_mask.nii.gz) — CADS
multi-organ segmentation on each phase's CT grid (e.g. label 6 = stomach);
all 4897 phases.
Added per-phase gastric tumor masks (<phase>_tumor_mask.nii.gz,
binary) — a patient's… See the full description on the dataset page: https://huggingface.co/datasets/HaoChen2/Gastric-X.GUIGuard-Bench
GUIGuard-Bench (Public Ladder)
GUIGuard-Bench is a cross-platform GUI agent benchmark for studying privacy risks and privacy-preserving execution in multimodal GUI agents.
This public-ladder release contains 121 GUI interaction trajectories (68 Android + 53 PC) for benchmark evaluation, with 26,407 region-level privacy annotations across 2,002 screenshots.
For the anonymous review version of the evaluation toolkit, see GUIGaurd-Bench-CA4F.
Dataset Summary
GUI agents… See the full description on the dataset page: https://huggingface.co/datasets/ShaofantuoshuzhengzhiSha/GUIGuard-Bench.svgrepo
Dataset Card for SVGRepo Icons
Dataset Summary
This dataset contains a large collection of Scalable Vector Graphics (SVG) icons sourced from SVGRepo.com. The icons cover a wide range of categories and styles, suitable for user interfaces, web development, presentations, and potentially for training vector graphics or icon classification models. Each icon is provided under a specific open-source or permissive license, clearly indicated in its metadata. The SVG… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/svgrepo.lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.InsightVQA
InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark
Overview
InsightVQA is a large-scale dataset designed for hierarchical visual question answering that bridges emotion understanding and cognitive reasoning. While existing benchmarks predominantly focus on surface-level emotion recognition , InsightVQA introduces a structured paradigm to evaluate a model's ability to interpret emotional causes, ground evidence, and reason about… See the full description on the dataset page: https://huggingface.co/datasets/ziyul707/InsightVQA.Dataset
MM-OphBench: Multi-Center Multimodal Clinical Ophthalmic Benchmark Dataset
A Large-Scale, Standardized Multi-Center Benchmark Covering 7 Imaging Modalities & 4.3M+ Clinical Records
1. Executive Summary & Repository Overview
The MM-OphBench repository hosts a petabyte-scale, clinically harmonized ophthalmic image archive compiled from leading ophthalmic hospitals and benchmark cohorts. It spans 4,307,415 high-resolution diagnostic images and multimodal… See the full description on the dataset page: https://huggingface.co/datasets/Kaphathy/Dataset.CrisisMMD
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
The CrisisMMD multimodal Twitter dataset consists of several thousand manually annotated tweets and images collected during seven major natural disasters, including earthquakes, hurricanes, wildfires, and floods from 2017. The dataset includes three types of annotations:
On HuggingFace, we hosted version 2.0 of the CrisisMMD dataset. Please see further information below.
Disaster Response Tasks
Task 1:… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/CrisisMMD.BarkVN-50
Dataset Card for BarkVN-50: Tree Species Identification from Bark Texture
This is a FiftyOne dataset with 5578 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/BarkVN-50")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/BarkVN-50.bo_or_not
Dataset Card for bo-dataset
This is a FiftyOne dataset with 169 samples designed for binary classification of Bo (Barack Obama's Portuguese Water Dog) versus other pets.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/bo_or_not")
#… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/bo_or_not.MLS-Bench-Tasks
MLS-Bench Tasks
MLS-Bench is a benchmark for machine learning science. Where most agent benchmarks reward engineering one fixed instance — clean the data, tune the pipeline, climb a leaderboard — MLS-Bench asks the harder question: can an AI agent propose a new component, loss, optimizer, or training procedure whose gain transfers across settings, seeds, datasets, and scales?The benchmark contains 140 tasks across 12 ML research domains. Each task fixes a research scaffold… See the full description on the dataset page: https://huggingface.co/datasets/Bohan22/MLS-Bench-Tasks.SDG-30K
SDG-30K — Structured Defect Grounding Dataset
A 30,000-image dataset for structured defect grounding in text-to-image
generations. Each image is annotated with bounding-box-level defects, where
each defect carries:
a category (artifact for visual flaws / misalignment for caption-image
mismatches),
a natural-language description, and
a chain-of-thought reasoning trace.
This is the public release accompanying the NeurIPS 2026 anonymous submission
"SDG: Structured Defect… See the full description on the dataset page: https://huggingface.co/datasets/P1n3/SDG-30K.OpenGameArt-CC0
Dataset Card for OpenGameArt-CC0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons 0 (CC0) license, making them effectively public domain works. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily monolingual:… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC0.qev-data
QEV data
Historical training snapshots for QEV, the LAYA-inspired Qwen3.5-2B decision model.
Model.
Configurations overlap. Do not concatenate them or assume independent test sets.
ZIPs in corpora/ use qev-<stage>.zip and contain eligible
original records, images and license notices. Extracted stage folders and original
record/source IDs preserve the recorded training provenance.
Viewer rows expose request/target schemas as JSON strings; parse with json.loads.
IDs, group IDs… See the full description on the dataset page: https://huggingface.co/datasets/ken-jo/qev-data.rlbenchfail_test_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_test_dataset.svgfind
Dataset Card for SVGFind Icons
Dataset Summary
This dataset contains a large collection of Scalable Vector Graphics (SVG) icons sourced from SVGFind.com. The icons cover a wide range of categories and styles, suitable for user interfaces, web development, presentations, and potentially for training vector graphics or icon classification models. Each icon is provided under either a Creative Commons license or is in the Public Domain, as clearly indicated in its… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/svgfind.rlbenchfail_train_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_train_dataset.Minecraft-Skins-20M
Dataset Card for Minecraft Skins
Dataset Summary
This dataset contains 19,973,928 unique Minecraft player skins collected from various sources. Each skin is stored as a base64-encoded image with a unique identifier.
Dataset Structure
Data Fields
This dataset includes the following fields:
id: A randomly generated UUID for each skin entry. These UUIDs are not linked to any external APIs or services (such as Mojang's player UUIDs) and serve solely as… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/Minecraft-Skins-20M.openclipart
Dataset Card for OpenClipart.org SVG Images
Dataset Summary
This dataset contains 178,604 public domain SVG vector clipart images collected from OpenClipart.org. OpenClipart.org is a community-driven platform where artists share vector clip art explicitly released into the public domain (CC0). The dataset includes the SVG content along with comprehensive metadata such as titles, descriptions, artist names, creation dates, tags, and image URLs. The SVG files in this… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/openclipart.Minecraft-Skins-Captioned-1M
Dataset Card for Minecraft Skins
Dataset Summary
This dataset contains 981,079 unique Minecraft player skins collected from various sources. Each skin is stored as a base64-encoded image with a unique identifier.
Dataset Structure
Data Fields
This dataset includes the following fields:
hash: A data dependent hash. These hashes are generated from raw bytes and will be same if the skin is identical.
image: The skin image encoded in base64 format.… See the full description on the dataset page: https://huggingface.co/datasets/neurlang/Minecraft-Skins-Captioned-1M.rlbenchfail_val_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_val_dataset.NautData
NautData
Paper | Project Page | Code
NautData is a large-scale underwater instruction-following dataset containing 1.45 million image-text pairs. It was constructed to bridge the gap in large-scale underwater multi-task instruction-tuning datasets, which are crucial for advancing underwater scene understanding methods. The dataset enables the development and thorough evaluation of underwater Large Multimodal Models (LMMs).
This dataset was introduced in the paper NAUTILUS: A Large… See the full description on the dataset page: https://huggingface.co/datasets/H-EmbodVis/NautData.human_behavior_atlas_tar
Human Behavior Atlas (HBA)
Human Behavior Atlas (HBA) is a unified benchmark for multimodal behavioral understanding.It aggregates and standardizes multiple behavioral datasets into a single training and evaluation framework, enabling consistent training and evaluation of foundation models on psychological and social behavior tasks (e.g., emotion, intent, sarcasm, mental health signals, nonverbal behavior).
Dataset on Hugging Face:… See the full description on the dataset page: https://huggingface.co/datasets/HumanBehaviorAtlas/human_behavior_atlas_tar.MOUNT-Cattle
Updates/News 📣
🎉 News (Feb. 2026): The dataset paper FSMC-Pose has been accepted for CVPR 2026 Findings!
🔗 News: Please find the open-source dataset on Hugging Face: MOUNT-Cattle.
🔥 Downloads reached 2.4k within 7 days of release.
📌 Overview
Mounting posture is an important visual indicator of estrus in dairy cattle. MOUNT-Cattle is a mounting dataset, covering 1,176 mounting instances, which follows the COCO format… See the full description on the dataset page: https://huggingface.co/datasets/eelianafang/MOUNT-Cattle.polyvore-outfits
Polyvore Outfits (Refactored Version)
This repository provides a refactored version of the Polyvore Outfits dataset, originally introduced in the paper "Learning Type-Aware Embeddings for Fashion Compatibility" by Mariya I. Vasileva et al.
📌 Overview
The goal of this refactoring is to improve usability and developer experience. While the core data remains identical to the original, the file structure and JSON schemas have been standardized to make it easier to load and… See the full description on the dataset page: https://huggingface.co/datasets/owj0421/polyvore-outfits.svgfind
Dataset Card for SVGFind Icons
Dataset Summary
This dataset contains a large collection of Scalable Vector Graphics (SVG) icons sourced from SVGFind.com. The icons cover a wide range of categories and styles, suitable for user interfaces, web development, presentations, and potentially for training vector graphics or icon classification models. Each icon is provided under either a Creative Commons license or is in the Public Domain, as clearly indicated in its… See the full description on the dataset page: https://huggingface.co/datasets/wapiuk/svgfind.UrbanPersona-120K-Interpretive
UrbanPersona-120K-Interpretive
Annotation corpora and analysis outputs for "Persona Prompting in Multimodal Urban Perception: Descriptive Convergence and Interpretive Variation" (EMNLP 2026 Workshop Pandora). Two
multimodal LLMs, Qwen3-VL-8B and Gemma4 E4B, annotate the same 50 PerceptSent urban scenes as the
same 1,200 demographic personas at T = 0.1, 60,000 persona × image attempts per model and 120,000
in all, next to their no-persona ablations, a greedy T = 0 decoding… See the full description on the dataset page: https://huggingface.co/datasets/MInDS-lab-UTFPR/UrbanPersona-120K-Interpretive.the-un-laion-templeAll files uploaded. Enjoy!
Dataset Card for The Unlaion Temple
Dataset Details
Dataset Description
Laion-5B is still not public, so we decided to create our own dataset.
The Unlaion Temple is a raw dataset of CommonCrawl images (Estimated to be a total of 2 Billion urls). We haven't verified whether the links in this dataset are functional.
You are responsible for handling the data.
We've made some improvements to the dataset based on user feedback:
All… See the full description on the dataset page: https://huggingface.co/datasets/DSULT-Chiharu/the-un-laion-temple.geoguesser-tasks
GeoGuesser Task Splits
Task indexes for the GeoGuesser OpenEnv environment.
Each line is one episode: an ordered list of panorama frames with coordinates,
headings and capture dates, plus the sequence and contributor it came from.
Split
Tasks
Countries
Frames
Fully mirrored
eval
200
73
4673
200/200
train
3452
130
80179
3448/3452
What a task is
These files carry metadata only, not imagery. Every frame's coordinates,
heading and capture date are… See the full description on the dataset page: https://huggingface.co/datasets/FineEnvs/geoguesser-tasks.cc12m-cleaned
CC12m-cleaned
This dataset builds on two others: The Conceptual Captions 12million dataset, which lead to the LLaVa captioned subset done by
CaptionEmporium
(The latter is the same set, but swaps out the (Conceptual Captions 12million) often-useless alt-text captioning for decent ones_
I have then used the llava captions as a base, and used the detailed descrptions to filter out
images with things like watermarks, artist signatures, etc.
I have also manually thrown out all… See the full description on the dataset page: https://huggingface.co/datasets/opendiffusionai/cc12m-cleaned.OpenGameArt-CC-BY-3.0
Dataset Card for OpenGameArt-CC-BY-3.0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons Attribution 3.0 (CC-BY-3.0) license. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily monolingual:
English (en): All… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC-BY-3.0.