datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
td02_urban-surface-texturesThe Dataset Teaser is now enabled instead! Isn't this better?
TD 02: Urban Surface Textures
This dataset contains multi-photo texture captures in outdoor urban scenes — many focusing on the ground and the others are walls. Each set has different photos that showcase texture variety, making them ideal for training a domain-specific image generator!
Overall information about this dataset:
Format — JPEG-XL, lossless RGB
Resolution — 4032 × 2268
Device — mobile camera
Technique —… See the full description on the dataset page: https://huggingface.co/datasets/texturedesign/td02_urban-surface-textures.gaussian-surfels-dtuSurfaceNet-DatasetMVcrypto-options-surface
Crypto options surface and order books
Snapshots of listed options on Aevo, including marks, implied volatility, Greeks and a selected set of order books. The tables support analysis of volatility surfaces and the relationship between published marks and quoted prices.
Contents
Table
Record
options_surface
An instrument's strike, expiry, mark, forward, implied volatility and Greeks
options_order_book
Best bid and ask, available sizes and quoted… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-options-surface.gaussian-surfels-bmvsKolektor_Surface_Defect
Dataset Card for Kolektor Surface-Defect Dataset
KolektorSDD (Kolektor Surface-Defect Dataset) is a grayscale industrial surface-inspection
dataset of electrical commutators.
This FiftyOne dataset uses the box-annotation release intended for the ICPR 2021 and
COMIND 2021 papers (download): one sample per
surface image, with defect regions annotated as axis-aligned bounding boxes stored as filled
rectangles in the label masks.
This is a FiftyOne dataset with 399 samples.… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Kolektor_Surface_Defect.surface_realisation_st_2020
Dataset Card for GEM/surface_realisation_st_2020
Link to Main Data Card
You can find the main data card on the GEM Website.
Dataset Summary
This dataset was used as part of the multilingual surface realization shared task in which a model gets full or partial universal dependency structures and has to reconstruct the natural language. This dataset support 11 languages.
You can load the dataset via:
import datasets
data =… See the full description on the dataset page: https://huggingface.co/datasets/GEM/surface_realisation_st_2020.surfer-grpo
Kedar84/surfer-grpo
Source run file: dataset-run-1758885513916.jsonl
Generated: 2025-09-27 (UTC)
Fields:
url: Source page URL gathered by Surfer automation.
bounding_box: Normalized viewport coordinates for the target element.
raw_ss: PNG screenshot of the raw page stored in images/raw/.
annotated_ss: PNG screenshot with bounding boxes overlayed (images/annotated/).
Loading Example
from datasets import load_dataset
ds = load_dataset("Kedar84/surfer-grpo"… See the full description on the dataset page: https://huggingface.co/datasets/Kedar84/surfer-grpo.willow-surface-code-detection-events
Willow Surface-Code Detection Events (ingested)
Detection events and logical-observable flips derived from Google's Willow
below-threshold surface-code dataset (Zenodo
10.5281/zenodo.13273331), rotated
surface code at distances 3, 5, 7 in X and Z memory.
Each row is one experimental shot. Detection events are derived from the raw
device measurement records with Stim's measurement-to-detector converter, using
the per-shot sweep bits, and validated to reproduce the dataset's… See the full description on the dataset page: https://huggingface.co/datasets/ShayManor/willow-surface-code-detection-events.asia-cyclones-surface-water-extents-in-bulacan-nueva-e
Satellite detected surface water extents in Bulacan, Nueva Ecija, Pampanga, and Tarlac Provinces, Region III, Philippines as of 3 November 2022
Publisher: United Nations Satellite Centre (UNOSAT) · Source: HDX · License: cc-by-sa · Updated: 2025-08-26
Abstract
UNOSAT code TC20221028PHL, GDACS Id: 1000942 This map illustrates the extent of surface waters in Bulacan, Nueva Ecija, Pampanga, and Tarlac Provinces, Region III, Philippines as observed from a TerraSAR-X… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-cyclones-surface-water-extents-in-bulacan-nueva-e.Diffuse_Map_Surfaces
Dataset Card for Diffuse Map Surface
Detailed surface textures without shadows or hotspots. (Diffuse Maps)
An LORA for Flux.1-Dev using this dataset is aviable at https://civitai.com/models/939491
d405-hand-surface-depth-extendedSULAND_v2_RGB_Surface_Landmine_Dataset
SULAND_v2: Refined RGB Surface Landmine Detection Dataset
SULAND_v2 is a refined annotation release based on the original SULAND (SUrface LANDmine) RGB dataset for surface-landmine detection.
The original images, video folders, frame names, and sequence-level training, validation, and test splits are retained. Only the annotations have been revised. To support reproducible comparisons and reduce temporal leakage, users are recommended to preserve the provided sequence-level… See the full description on the dataset page: https://huggingface.co/datasets/SagarLekhak/SULAND_v2_RGB_Surface_Landmine_Dataset.Surfdisp96-Roccastrada-10k-2025
🧠 Dataset Overview
The Surfdisp96-Roccastrada-10m dataset contains synthetic seismic velocity models and their corresponding Rayleigh-wave dispersion curves, generated using the SurfDisp96 simulator with Roccastrada priors.It is designed for benchmarking seismic inversion algorithms and for training machine-learning models in geophysics.
Each sample includes:
A seismic velocity model with shear-wave velocities, depths and layer thicknesses
Three dispersion curves covering low… See the full description on the dataset page: https://huggingface.co/datasets/MIGRATE/Surfdisp96-Roccastrada-10k-2025.wood_surface_defectsKodytek P, Bodzas A and Bilik P. A large-scale image dataset of wood surface defects for automated vision-based quality control processes [version 2; peer review: 2 approved]. F1000Research 2022, 10:581 (https://doi.org/10.12688/f1000research.52903.2)
Bounding boxes only, semantic maps
All images are 2800 x 1024 pixels (width x height)
Images compressed using
PIL.Image.Image.save(
format="JPEG",
optimize=True,
quality=50,
)
Bounding boxes converted to YOLO format.
TODO: loader… See the full description on the dataset page: https://huggingface.co/datasets/iluvvatar/wood_surface_defects.surfnerf_dataSeCodePLTd405-hand-surface-depth
D405 Hand-Surface Depth Dataset
A multi-user, multi-angle RGB-depth dataset for close-range hand-surface interaction research, captured with an Intel RealSense D405 stereo depth camera.
Paper: Real-Time Multimodal Fingertip Contact Detection via Depth and Motion Fusion for Vision-Based Human-Computer Interaction (CVPR 2026)
Authors: Mukhiddin Toshpulatov, Wookey Lee, Suan Lee, Geehyuk Lee
Key Statistics
Metric
Value
Total RGB-depth pairs
53,300… See the full description on the dataset page: https://huggingface.co/datasets/muxiddin19/d405-hand-surface-depth.sputnik_100_28_pick_place_surfaceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 5971,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_28_pick_place_surface.weather-whiplash-surfaces
Weather Whiplash — road surface conditions
247 photographs of road and track surfaces, each labelled by a human with
one of four appearance classes. Built for Weather Whiplash, a live track-condition
detector whose reasoning layer turns a per-frame surface classification into a stable
wetness index, a trend, and a tyre-change recommendation.
The four classes
The classes describe appearance at one instant, not direction of change. There is no
"drying" class and… See the full description on the dataset page: https://huggingface.co/datasets/mrcreoid/weather-whiplash-surfaces.A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
License
This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0).
Dataset: A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
Author: gonzz2026
URL: https://huggingface.co/datasets/gonzz2026/A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
License: CC BY 4.0
DOI
https://doi.org/10.57967/hf/7674
Citation
@misc{gonzz2026_floating_rubbish_2026,
title = {A Dataset of Images of… See the full description on the dataset page: https://huggingface.co/datasets/gonzz2026/A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water.agilex_push_mirror_surfaceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5_bimanual",
"total_episodes": 20,
"total_frames": 6503,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 25,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/agilex_push_mirror_surface.surfmatch-dataset
SurfMatch: Synthetic Surfer & Surfboard Dataset
Overview
This dataset supports SurfMatch, a text-based surfboard recommendation app: given a surfer's physique, experience, riding style, and goals, recommend the surfboards that genuinely fit them - including surfers who want to change styles and aren't sure what equipment to change to.
Main Question: Can a surfer's physical stats, experience level, and stated goals be used to reliably identify which board style… See the full description on the dataset page: https://huggingface.co/datasets/Yoad22/surfmatch-dataset.sputnik_100_23_pick_place_surfaceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 7193,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_23_pick_place_surface.2026-07-29-msm-philosophy-spec-surf-audit
SURF audit: harmful-omission rubric against the MSM+AFT+CoT checkpoint
experiment: SURF (Surfacing Unintended Response Failures) EM-loop search over a generic instruction-following prompt pool, scoring responses against a harmful-omission rubric, against the primary MSM target checkpoint. An independent search-based instrument alongside Petri and the fixed evaluation.
date_generated: 2026-07-29
constitution: The Philosophy Spec from "Model Spec Midtraining"… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-29-msm-philosophy-spec-surf-audit.A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
License
This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0).
Dataset: A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
Author: gonzz2026
URL: https://huggingface.co/datasets/gonzz2026/A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water
License: CC BY 4.0
DOI
https://doi.org/10.57967/hf/7674
Citation
@misc{gonzz2026_floating_rubbish_2026,
title = {A Dataset of Images of… See the full description on the dataset page: https://huggingface.co/datasets/houkaiyu/A-dataset-of-images-of-floating-rubbish-on-the-surface-of-the-water.SurfSurg6Dsputnik_100_26_pick_place_surfaceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 9000,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/duthvik/sputnik_100_26_pick_place_surface.Surflo-eval-data
Surflo evaluation data
Preprocessed Tanks and Temples scenes for evaluating
Surflo, a consistent 3D surface flow model
with global state.
Surflo's evaluation consumes preprocessed caches, not raw images: the frozen
VGGT-1B backbone is run once per scene offline and its tokens are stored, so
scripts/evaluate.py can score a checkpoint without re-running the backbone.
This repository is that cache.
Contents
Six T&T scenes: Barn, Caterpillar, Courthouse, Ignatius… See the full description on the dataset page: https://huggingface.co/datasets/AntoineGuedon/Surflo-eval-data.dagm_defect_detection_textured_surfaces