datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Vera-Layered-Video-Dataset
Dataset for Vera: A Layered Diffusion Model for Content-Preserving Video Editing
Hongkai Zheng¹²* ·
Ta-Ying Cheng² ·
Benjamin Klein² ·
Yisong Yue¹ ·
Zhuoning Yuan²†
¹California Institute of Technology ²Netflix, Inc.
*Work done during an internship at Netflix †Project Lead
TL;DR: A layered diffusion framework for video editing. Vera jointly generates an edit layer, an alpha… See the full description on the dataset page: https://huggingface.co/datasets/netflix/Vera-Layered-Video-Dataset.GUI-Net-Video
GUI-Net-Video
A collection of video URLs for GUI-related tasks, organized by platform or application.
This dataset provides the video URLs collected for TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents — a framework that turns multimodal web tutorials (including YouTube videos) into large-scale GUI agent trajectories. Each URL is paired with a GUI task description (the .txt filename) and grouped by platform/app.
Paper: arXiv:2504.12679… See the full description on the dataset page: https://huggingface.co/datasets/Bofeee5675/GUI-Net-Video.hf_netdiskVISEM-Tracking
Dataset Card for VISEM-Tracking
Dataset Summary
VISEM-Tracking is a dataset of human spermatozoa tracking, featuring 20 video recordings of 30 seconds each, captured from wet semen preparations. The dataset contains 29,196 frames with manually annotated bounding-box coordinates and a set of sperm characteristics analyzed by domain experts. In addition to the labeled dataset, unlabeled videos are provided to enable research in self-supervised learning. This dataset serves… See the full description on the dataset page: https://huggingface.co/datasets/sperm-net/VISEM-Tracking.AIRBOT_MMK2_place_the_network_cable_and_mouse_box
AIRBOT_MMK2_place_the_network_cable_and_mouse_box
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
place
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_place_the_network_cable_and_mouse_box.VISEM
Dataset Card for VISEM Dataset
Dataset Details
Dataset Description
The VISEM dataset is a multimodal video dataset designed for the analysis of human spermatozoa. It is one of the few open datasets that combine multiple data sources, including videos, biological analysis data, and participant-related information. The dataset consists of anonymized data from 85 different participants, with a focus on improving research in human reproduction, particularly male… See the full description on the dataset page: https://huggingface.co/datasets/sperm-net/VISEM.G1_Dex1_Connect_The_Network_Portrppg-deepfake-detectionhf_netdisknatix-multi-camera-driving-dataset
NATIX Multi-Camera Driving Dataset
Summary
The NATIX Multi-Camera Driving Dataset is a real-world driving dataset. Unlike fleet-collected datasets that rely on trained safety drivers operating standardized vehicles, NATIX sources its data from a decentralized vehicle network consisting of everyday, non-expert drivers, resulting in more natural driving behavior and a broader distribution across real-world scenarios.
NATIX plans to release 2,000+ hours of data as… See the full description on the dataset page: https://huggingface.co/datasets/natix-network-org/natix-multi-camera-driving-dataset.so101-demo-1080p30-5epThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 5,
"total_frames": 4456,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/netray/so101-demo-1080p30-5ep.Shoe-Net-10K
Shoe-Net-10K Dataset
The Shoe-Net-10K dataset is a curated collection of 10,000 shoe images annotated for multi-class image classification. This dataset is suitable for training deep learning models to recognize different types of shoes from images.
Dataset Details
Total Images: 10,000
Image Size: Varies (typical width range: 94 px to 519 px)
Format: Parquet
Split:
train: 10,000 images
Modality: Image
License: Apache 2.0
Labels
The dataset includes 5… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Shoe-Net-10K.blue-cube-pickup-smol-mergedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/netsoph/blue-cube-pickup-smol-merged.fino_net_rfmrubber-dwayne-johnson-pickup_20260604_123015This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/netsoph/rubber-dwayne-johnson-pickup_20260604_123015.eval_pick_and_place_tapes_15hz_diffusion_no_crop_pretrained_res_netThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/anjalidhabaria/eval_pick_and_place_tapes_15hz_diffusion_no_crop_pretrained_res_net.blue-cube-pickup_20260606_012133This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/netsoph/blue-cube-pickup_20260606_012133.natix-edge-case-driving-dataset
NATIX Edge Case Driving Dataset
Summary
The NATIX Edge Case Driving Dataset is a curated collection of real-world special driving scenarios that capture rare, challenging situations often underrepresented in conventional driving datasets.
Unlike fleet-collected datasets, NATIX sources its data from a decentralized camera network consisting of everyday, non-expert drivers, resulting in more natural driving behavior and a broader distribution of challenging… See the full description on the dataset page: https://huggingface.co/datasets/natix-network-org/natix-edge-case-driving-dataset.natix-safety-critical-driving-events-dataset
NATIX Safety Critical Driving Events Dataset
Summary
The NATIX Safety Critical Driving Events Dataset is a curated collection of real-world driving footage containing telemetry-detected safety-critical events. Unlike fleet-collected datasets that rely on trained safety drivers operating standardized vehicles, NATIX sources its data from a decentralized vehicle network consisting of everyday, non-expert drivers, resulting in more natural driving behavior and a… See the full description on the dataset page: https://huggingface.co/datasets/natix-network-org/natix-safety-critical-driving-events-dataset.lerobot_hackathon_team_142_watchpeg-tight-insert-hrate-netft-spectrumobject-flip-hrate-netft-spectrumpeg-insert-hrate-netft-spectrumelectric-switch-hrate-netft-spectrumblue-cube-pickup-varslap-christieblue-cube-pickup-smol