datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
USA-Map-Tiles
Dataset Description
The dataset is a set of map tiles for the various states of the USA.
License: Open Data Commons Open Database License (ODbL) v1.0
Dataset Sources
OpenStreetMap.org
Geofabrik Download Server
Bounding Boxes per State
Dataset Structure
Organized into folders by state
Structure of graphml files:
Top of files have a list of keys/ids that correspond to the properties of the segment:
maxspeed: speed limit
oneway: if it is a… See the full description on the dataset page: https://huggingface.co/datasets/incognitolm/USA-Map-Tiles.MultiCorrupt
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection
Till Beemelmanns1
Quan Zhang2
Christian Geller1
Lutz Eckstein1
1Institute for Automotive Engineering, RWTH Aachen University, Germany
2Department of Electrical Engineering and Computer Science, TU Berlin, Germany
Abstract: Multi-modal 3D object detection models for autonomous driving have demonstrated exceptional… See the full description on the dataset page: https://huggingface.co/datasets/TillBeemelmanns/MultiCorrupt.mahjong_souls_tiles
Dataset Card for Mahjong Souls Tiles
Dataset Details
Dataset Description
This dataset, pjura/mahjong_souls_tiles, contains images of Mahjong tiles extracted from the game Mahjong Soul. It was created specifically for the purpose of training computer vision models to recognize Mahjong tiles within the game interface.
The dataset was used to fine-tune the google/vit-base-patch16-224-in21k model, resulting in the pjura/mahjong_vision model available on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/pjura/mahjong_souls_tiles.haidian-building-tilespixelrag-tiles
PixelRAG tile corpus
Rendered screenshot tiles for PixelRAG, a visual retrieval-augmented-generation system that retrieves over page images instead of parsed text. Each Wikipedia page is rendered to an image and cut into fixed-height tiles; retrieval runs on the tiles directly with a Qwen3-VL embedding model.
This repository holds the full tile corpus that the published FAISS indexes and embeddings were built from, so the whole pipeline (tiles → embeddings → index → search) can… See the full description on the dataset page: https://huggingface.co/datasets/StarTrail-org/pixelrag-tiles.win-tiles-icons
Dataset Details
Dataset Description
The pictures were taken from the Discord server https://discord.gg/VMz3GD4d
Relevance as of 29.11.2024
I tried to classify some parts, but I have clumsy and crooked paws to make a proper classifier for all this.
plism-dataset-tiles
PLISM dataset
The Pathology Images of Scanners and Mobilephones (PLISM) dataset was created by (Ochi et al., 2024) for the evaluation of AI models’ robustness to inter-institutional domain shifts.
All histopathological specimens used in creating the PLISM dataset were sourced from patients who were diagnosed and underwent surgery at the University of Tokyo Hospital between 1955 and 2018.
PLISM-wsi consists in a group of consecutive slides digitized under 7 different scanners and… See the full description on the dataset page: https://huggingface.co/datasets/owkin/plism-dataset-tiles.curbai-tilesvibepi-tilt-alan-073026
vibepi-tilt-alan-073026
Recorded dataset — captured on vibepi — 47 episodes · 10,993 frames @ 20 fps (~3 min of demonstration).
Tasks
Instruction
Episodes
tilt the cucumber sideways and make sure it is placed aligned vertically in the image, with the back end of the cucumber under the blue gripper
17
Recording
Rig
vibepi (calibration sidecar)
Recorded
2026-07-30
Operator
alanvu
Episode sources
47 teleop… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/vibepi-tilt-alan-073026.jetson1-tilt-doris081826
jetson1-tilt-doris081826
Recorded dataset — captured on jetson1 — 12 episodes · 2,654 frames @ 20 fps (~0 min of demonstration).
Tasks
Instruction
Episodes
tilt the cucumber sideways and make sure it is placed aligned vertically in the image, with the back end of the cucumber under the blue gripper
2
Recording
Rig
jetson1 (calibration sidecar)
Recorded
2026-08-18
Operator
dorischen
Episode sources
11 teleop · 1… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-tilt-doris081826.jetson1-061026-subtask-tilt-doris2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-061026-subtask-tilt-doris2.jetson1-061026-subtask-tilt-dorisThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-061026-subtask-tilt-doris.jetson1-061026-subtask-tilt-doris-mergedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-061026-subtask-tilt-doris-merged.nanopath-fairness-tiles
nanopath-fairness-tiles
Pre-tiled histopathology patches from CPTAC whole-slide images, used as the
external out-of-distribution validation set for a study on pretraining-time
vs. post-hoc fairness in histopathology foundation models.
Contents
Per-cohort folders, each slides_full/<slide_id>.parquet (one row per tile:
case_id, slide_id, tile_idx, image) + labels.tsv:
cohort
organ / task
slides
cptac_lung
NSCLC — LUAD vs LSCC subtype
604
cptac_gbm
GBM —… See the full description on the dataset page: https://huggingface.co/datasets/ryankim17920/nanopath-fairness-tiles.molmoact2-cucumber-grab-place-peel-tilt-v2-v1-trim
molmoact2-cucumber-grab-place-peel-tilt-v2-v1-trim
Materialized collection — 751 episodes · 97,621 frames @ 20 fps (~81 min of demonstration).
Collection molmoact2-cucumber-grab-place-peel-tilt-v2@v1 (frozen 2026-09-09), mode trim_rebuild — built by Vibe Data Studio; the machine-readable recipe in meta/vibedata/collection.json makes this dataset reproducible from its pinned components.
Tasks
Instruction
Episodes
place the cucumber on the middle of the… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/molmoact2-cucumber-grab-place-peel-tilt-v2-v1-trim.global-openstreetmap-extraction-slippy-tiles-taronlypits-lunar-tilestilebac-ULDM-tiles
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-ULDM-tiles.global-elevation-aster-slippy-tiles-tar-gz
PeakNav global elevation tiles
Slippy-map elevation tiles (zoom 8, ten resolutions each, packed per zoom-6
tile as elev_tiles/zoom_06/x_*/y_*.tar.gz) used by the PeakNav app.
Sources and attribution
ASTER GDEM v3 (worldwide base): ASTER GDEM is a product of METI and
NASA.
OpenStreetMap summit elevations (natural=peak / ele): © OpenStreetMap
contributors, ODbL.
swissALTI3D (Switzerland and Liechtenstein): ©swisstopo - Federal Office
of Topography swisstopo, free… See the full description on the dataset page: https://huggingface.co/datasets/PeakNav/global-elevation-aster-slippy-tiles-tar-gz.urban-opengen-tiles-v2
Urban OpenGen tiles v2: sixty cities from OpenStreetMap
Sixty cities on six continents, each a 10 km × 10 km window centred on the core, cut into
a 25 × 25 grid. 625 tiles of 400 m per city, 37,500 in all, of which 30,957 carry built
content; the rest are sea, or ground OpenStreetMap has nothing for. Every tile is
128 × 128 px at 3.125 m per pixel.
Every city was rendered by the same code with the same conventions, which is the whole
point. Opportunistic crops from different… See the full description on the dataset page: https://huggingface.co/datasets/differential-studio/urban-opengen-tiles-v2.tilebac-stitched-montage
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-stitched-montage.popcorn-reportsdiscard_tilebimanual_tiltThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pan.pos",
"left_shoulder_lift.pos",
"left_elbow_flex.pos",
"left_wrist_flex.pos",
"left_wrist_roll.pos",
"left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/jun-seo/bimanual_tilt.gtex-10M-balanced-tiles
GTEx 10M Balanced Tiles
This dataset contains 10,000,000 JPEG-encoded 224x224 pathology tiles from GTEx SVS slides in s3://path-datasets/gtex/svs_by_tissue, balanced at 250,000 tiles for each of the 40 tissue prefixes. Source objects under 80,000,000 bytes are ignored because the GTEx prefix contains tiny unsupported SVS objects. Tiles are sampled from virtual OpenSlide levels 0, 1, and 2, so the effective field of view varies while the emitted JPEG size stays fixed.
Each… See the full description on the dataset page: https://huggingface.co/datasets/medarc/gtex-10M-balanced-tiles.game-asset-tiles
Game Asset Tiles
This dataset contains 275 samples, each consisting of a tile image, a matching template image and a description.
Tiles were generated with Nano Banana 2 and FLUX.2, or sourced from kenney.nl.
hex / oct / rect describe the footprint shape, flat-top or pointy-top describe the hex shape orientation, and isometric, oblique, or top-down describe the perspective.
Repository layout:
tiles/: PNG tile images
descriptions/: Short English text prompts
coordinates/: JSON point… See the full description on the dataset page: https://huggingface.co/datasets/crafiq/game-asset-tiles.trivia_qa
Dataset Card for "trivia_qa_passages"
More Information needed
office-flight-tracker-london-tiles
London Streets.gl tiles
Generated 2026-09-17T12:29:11.517Z from © OpenStreetMap contributors.
Format: uncompressed Mapbox Vector Tiles generated by the
StrandedKitty/planetiler StreetsProfile, zooms 9–16.
tilingtopomlmsmarco-passage-tilde
Dataset Card for "msmarco-passage-tilde"
More Information needed