datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gearz-leakfinder
🔎 GEARZ LeakFinder
Redaction-first OSINT hunting tool — scan code repos, package registries, Docker images, CI/CD logs, and archived web captures for accidentally leaked secrets.Built for bug bounty pros, red teamers, and learners who want to see how real leaks are uncovered (safely, with redaction).
✨ Features
Adapters: GitHub • Wayback Machine • DockerHub • npm • PyPI • CI/CD logs
Scope Builder UI: point-and-click to define your targets → auto-saves to… See the full description on the dataset page: https://huggingface.co/datasets/Gearsoldier0731/gearz-leakfinder.racing-gears
Racing Gear Digits
Image classification dataset for detecting gear numbers (0-9) from racing onboard camera telemetry overlays, supplemented with MNIST digits for robustness.
Similar in spirit to MNIST but for a specific real-world application: reading the gear indicator from racing car onboard video feeds in real-time.
Dataset
5,964 training / 1,003 validation images
32×32 grayscale PNG images
10 classes (digits 0-9)
Source column distinguishes racing-original… See the full description on the dataset page: https://huggingface.co/datasets/tobil/racing-gears.gears-norman-activationsdxf-gears-unstructured
Gear Design Dataset
Dataset Overview
The Gear Design Dataset contains structured data that includes gear design specifications and their corresponding DXF (Drawing Exchange Format) files. The dataset is intended for training and evaluating machine learning models focused on generative design and CAD (Computer-Aided Design) tasks. The dataset is split into three parts: training, validation, and test sets.
Each entry in the dataset represents a specific gear type and… See the full description on the dataset page: https://huggingface.co/datasets/mvrdock/dxf-gears-unstructured.pick_load_gearsonic_v21dxf-gears-prompted
Gear Design Dataset
Dataset Overview
The Gear Design Dataset contains structured data that includes gear design specifications and their corresponding DXF (Drawing Exchange Format) files. The dataset is intended for training and evaluating machine learning models focused on generative design and CAD (Computer-Aided Design) tasks. The dataset is split into three parts: training, validation, and test sets.
Each entry in the dataset represents a specific gear type and… See the full description on the dataset page: https://huggingface.co/datasets/mvrdock/dxf-gears-prompted.gearsorting3_20260710_185720This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsorting3_20260710_185720.gearsorting_20260710_160613This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsorting_20260710_160613.gearsorting4_20260710_193740This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsorting4_20260710_193740.gearsort_20260710_155943This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsort_20260710_155943.3d_gearsI created these images using a p5.js. I first rendered them in a GIF, uploaded to Google Drive, and then extracted the individual frames
from the GIF.
The light background gears images were generated in p5.js using this sketch.
The dark background gears images were generated in p5.js using this sketch.
gearsorting5_20260710_200133This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsorting5_20260710_200133.sliding_the_gearsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 50000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 50,
"splits": {
"train": "0:50"
},
"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/lyl472324464/sliding_the_gears.gearsorting2_20260710_164055This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/vasthi/gearsorting2_20260710_164055.NexusMancer-bioai-easykit-gears-cache
GEARS go_essential_all Cache
This dataset provides the pre-computed go_essential_all cache required by the GEARS model.
It is part of the NexusMancer-bioai-easykit project to make it easy for everyone to run GEARS without manually generating the cache.
📁 File List
go_essential_all.csv
essential_all_data_pert_genes.pkl
gene2go_all.pkl
go_essential_all.tar.gz
norman_coexpression.csv
All files are placed under the gears_cache/go_essential_all/ folder structure.
🚀… See the full description on the dataset page: https://huggingface.co/datasets/NexusMancer/NexusMancer-bioai-easykit-gears-cache.gear_sonic_testGEAR-Seg-131k
GEAR-131K Dataset
🔗 Related Code & Project
The GEAR-131K dataset is the official benchmark and training dataset for the GEAR-Seg project. All related code for data generation, model training, and evaluation can be found in our official GitHub repository:
👉 AgRoboticsResearch/GEAR-Seg
For more details about the framework, please visit our Project Page.
📊 Dataset Overview
GEAR-131K is a large-scale, high-fidelity Reasoning Segmentation dataset.… See the full description on the dataset page: https://huggingface.co/datasets/00mmw/GEAR-Seg-131k.mg-s2-gears-pretrained
GEARS pre-trained checkpoint + Norman 2019 training data
These data are not produced by this project. They are cached here for
reproducible benchmarking.
Original source
Field
Value
Citation
Roohani et al., 2024 (GEARS); Norman et al., 2019 (data)
License
MIT (GEARS code); see Norman et al. for data
Download
https://github.com/snap-stanford/GEARS
Contents
Subdirectories included:
pre-trained-checkpoints/gears/ -- config.pkl… See the full description on the dataset page: https://huggingface.co/datasets/MClarke1991/mg-s2-gears-pretrained.gearssensory_gears_fera