datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stereo-550Stereo-550
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Collected with FPV Labs Open-Source Stereo Hardware
Dataset overview
A first-person calibrated stereo RGB video dataset capturing everyday human manipulation across objects, materials, tools, and multi-step activities. Every session is recorded as a synchronized left/right camera pair with per-session stereo calibration, giving the visual geometry of hands, object interaction, state… See the full description on the dataset page: https://huggingface.co/datasets/fpvlabs/stereo-550.stereoset
Dataset Card for StereoSet
Dataset Summary
StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession.
Supported Tasks and Leaderboards
multiple-choice question answering
Languages
English (en)
Dataset Structure
Data Instances
#intersentence
{'bias_type': 'race', 'context': 'Many people live in… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/stereoset.Stereo4D_vlbm
Stereo4D (converted to VLBM format)
This dataset contains 4,687 sequences from the Stereo4D dataset converted to the VLBM-compatible format using preprocess_stereo4d.py. The sequences have been compressed into .tar.gz archives in chunks of 50 sequences per archive.
Scale
Metric
Value
Total sequences
4,687
Image resolution
512 x 512 px
Depth type
Sparse (projected from tracked 3D points)
Dataset Structure
Each sequence directory follows this… See the full description on the dataset page: https://huggingface.co/datasets/ZhengGuangze/Stereo4D_vlbm.strands-kitchen-stereo4d
🍳 Kitchen Stereo4D Dataset
Stereo depth + spatial audio pick-and-place dataset generated by strands-robots on NVIDIA Jetson AGX Thor
Overview
This dataset contains synchronized stereo RGB, metric depth maps, 3D point clouds,
and binaural spatial audio from robot manipulation tasks in a kitchen environment.
Metric
Value
Episodes
10
Total Frames
501
Resolution
640×480
Stereo Baseline
50mm
FPS
30
Robot
Franka Emika Panda (simplified)
GPU
NVIDIA Thor… See the full description on the dataset page: https://huggingface.co/datasets/cagataydev/strands-kitchen-stereo4d.stereo-dataset
Stereo Dataset
Dataset Summary
StereoDataset is a synthetic multiview stereo dataset rendered in Unreal Engine.
Each scene combines a map, a character mesh, an animation clip, a validated
spawn location, and a camera trajectory. The released scene folders contain
synchronized per-camera RGB videos (cam_XX_rgb.mp4), per-camera depth videos
(cam_XX_depth.mkv), and scene-level metadata including _scene_complete.json,
trajectory.json, and baseline.json.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/stereo-dataset/stereo-dataset.Stereo-Road-Curvature-Dashcam
Stereo Road Curvature Dashcam
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: Alan Prophett
Language(s) (NLP): N/A
License: Creative Commons Zero v1.0 Universal
Repository: https://github.com/AAP9002/Third-Year-Project
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct… See the full description on the dataset page: https://huggingface.co/datasets/aap9002/Stereo-Road-Curvature-Dashcam.StereoNav_DataSetAPAC-Egocentric-Stereo
APAC Egocentric Stereo → FiftyOne (Native Multimodal MCAP)
The labeled stereo release of
humyn-labs/APAC-Egocentric-Stereo-Labeled,
converted to native multimodal MCAP episodes.
Twelve people were filmed doing their jobs while wearing a head-mounted
stereo rig. Each sequence runs about a minute and carries the rectified
video from both eyes, a depth render, a hand and head tracking render, and a
caption describing what the wearer is doing at every moment. The work spans… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/APAC-Egocentric-Stereo.egocentric-stereo-rgbd
Hub Egocentric: Stereo RGB-D
9 egocentric stereo RGB-D clips with dense metric depth, IMU, 6-DoF VIO pose, and calibration. Each clip carries a self-contained LeRobot v3.0 dataset (loads on lerobot >= 0.6.0) plus side-by-side stereo, mono, a colorized depth preview, and a Foxglove MCAP recording.
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on StereoLabs ZED X Mini. Egocentric, human-demonstration data (passive; no robot action stream). July… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-stereo-rgbd.UE4-Stereo
UE4-Stereo
Dataset Description
UE4-Stereo is a synthetic stereo vision dataset generated in Unreal Engine 4.27 using the Microsoft AirSim simulation framework. The dataset provides synchronized stereo RGB images, dense ground-truth depth maps, and full 6-DoF ground-truth poses. It is designed to support research and benchmarking in stereo matching, visual odometry, and visual SLAM, particularly in controlled indoor environments.
The dataset focuses on realistic… See the full description on the dataset page: https://huggingface.co/datasets/yanmorona/UE4-Stereo.ffs_stereo4d
FFS Stereo4D
[Project Page] [Paper] [Code]
Disparity maps for stereo matching, generated from the Stereo4D dataset using FoundationStereo.
Dataset Structure
data/train/
metadata.csv
0000000.zip (first 50,000 images)
0000001.zip (next 50,000 images)
...
0000025.zip
Each zip contains disparity PNG files named {vid_id}_frame_{frame_idx:06d}.png.
Disparity images: 3-channel uint8 784×784 PNG files encoding per-pixel disparity. Decode with: disp = (R *… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ffs_stereo4d.StereoWalker
StereoWalker Dataset
Public release of the datasets used in StereoWalker. It contains two parts:
Part
Directory
Contents
Size
StereoUrban (training)
StereoUrban/
544 YouTube video IDs + camera-pose annotations
~310 MB
UVA robot test set
uva_test/
10 stereo sequences, 3,305 samples with images, poses, and scene-category labels
~530 MB
Part 1: StereoUrban — YouTube stereo walking videos
We do not redistribute the videos themselves. We release the… See the full description on the dataset page: https://huggingface.co/datasets/uva-cv-lab/StereoWalker.chess_game_001_blue_stereoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100-blue",
"total_episodes": 10,
"total_frames": 4071,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"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/Chojins/chess_game_001_blue_stereo.StereoMIS_processedcloud-stereoCloud-Stereo Dataset (BMVC 2025)
Project Page: https://cloud-stereo.jacob-lin.com/
stereo-dataset-small-sample-2gb
Stereo Dataset Small Sample
This repository is a size-constrained sample drawn from the full Stereo Dataset release.
Source dataset
Full dataset: stereo-dataset/stereo-dataset
Source repo commit at refresh time: 46d28a23024387da97516b160cce35c58ffa2e60
Only complete scenes containing _scene_complete.json were eligible for sampling.
This 16-scene sample is provided so users can inspect dataset structure and quality without downloading the full 1.47 TB release.… See the full description on the dataset page: https://huggingface.co/datasets/stereo-dataset/stereo-dataset-small-sample-2gb.wham-stereo-sr16000angle_peg_stereo_05_27_cam_refThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/radoolonto/angle_peg_stereo_05_27_cam_ref.stereo4d-lefteye-perspective
Dataset Summary
This dataset contains the left-eye rectified perspective views from the Stereo4D dataset (Paper). Each video is generated using the rectify.py script, which processes VR180 stereo videos to produce 512×512 video clips with a 60° field of view perspective camera. This dataset is intended to be used alongside the Stereo4D dataset annotations which can be found here.
This dataset is provided as-is for non-commercial research purposes only.
Download
git clone… See the full description on the dataset page: https://huggingface.co/datasets/KevinMathew/stereo4d-lefteye-perspective.StereoTales
Multilingual Story-Generation Bias Samples
A multilingual evaluation dataset for probing demographic biases in LLM
story generation. Each sample instructs a model to write a ~200-word story
about a character carrying a given demographic attribute value (age, gender,
ethnicity, religion, disability status, immigration status, ...) placed into a
specific life scenario, with the goal of surfacing socio-economic and
demographic biases in the generated narratives.… See the full description on the dataset page: https://huggingface.co/datasets/giskardai/StereoTales.chess_game_001_red_stereoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100-red",
"total_episodes": 10,
"total_frames": 3879,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"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/Chojins/chess_game_001_red_stereo.APAC-Egocentric-Stereo-Labeled
APAC Egocentric Stereo (Labeled)
Twelve labeled egocentric work sequences captured with a stereo rig, each shipping rectified side-by-side raw video, a depth map, a hand/head-tracking render, and 248 densely captioned 3-second action segments.
Unlike the monocular release, this set includes unmodified rectified camera footage, so it supports stereo matching and depth research directly.
Preview: removing a tail lamp in an automotive garage — rectified side-by-side stereo pair… See the full description on the dataset page: https://huggingface.co/datasets/humyn-labs/APAC-Egocentric-Stereo-Labeled.ego-stereo-cn-v1
Egocentric Stereo Human Demonstrations — Real Work, China (v1)
Two human egocentric stereo episodes recorded on real job sites in Hangzhou, China, released
as a public, verifiable sample of a production egocentric data-collection pipeline.
This is a sample, not a benchmark. It exists so that anyone evaluating egocentric data vendors
can inspect real output — actual frame timing, actual synchronisation, actual annotation depth —
instead of reading a capability deck.
Independently… See the full description on the dataset page: https://huggingface.co/datasets/tatezhou/ego-stereo-cn-v1.angle_peg_stereo_05_27_and_06_08_and_06_10_tool_xyz_3jThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/radoolonto/angle_peg_stereo_05_27_and_06_08_and_06_10_tool_xyz_3j.angle_peg_stereo_06_08This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/cagedBirdy/angle_peg_stereo_06_08.M3D-Stereo
M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration
M3D-Stereo is a real-captured stereo image restoration dataset covering four degradation scenarios: underwater scatter (UWST), underwater low-light (UWLL), haze/fog scatter (HZST), and coupled haze low-light (HZLL). Each scenario provides 16 scenes at six progressive degradation levels (D1–D6) with pixel-aligned clear ground truths, captured by two calibrated ZED stereo cameras (Camera 1 /… See the full description on the dataset page: https://huggingface.co/datasets/M3D-Stereo/M3D-Stereo.angle_peg_stereo_merged_07_29_stateThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/aakankshpanda/angle_peg_stereo_merged_07_29_state.bench_vortex_eppendorf_stereo_apr_jointangle_peg_stereo_05_27_tip_refThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/radoolonto/angle_peg_stereo_05_27_tip_ref.angle_peg_stereo_05_27_and_06_08_and_06_10_tip_refThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.image.cam0": {
"dtype": "image",
"shape": [
3,
240,
320
],
"names": [
"C",
"H",
"W"
]
},
"observation.image.cam1": {
"dtype":… See the full description on the dataset page: https://huggingface.co/datasets/radoolonto/angle_peg_stereo_05_27_and_06_08_and_06_10_tip_ref.