datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
3DA-VTG
3DA-VTG
3DA-VTG is a visuo-tactile grasp-stability dataset prepared for the public
SGA-GSN release. It contains paired visual and tactile observations, object-level
metadata, and binary grasp-stability labels.
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0
International (CC BY-NC-SA 4.0). The dataset is derived from GraspNet-1Billion
assets and follows the GraspNet non-commercial redistribution terms. Commercial
use requires permission from the GraspNet team.… See the full description on the dataset page: https://huggingface.co/datasets/robotic-vt-grasp-project/3DA-VTG.robot-nav
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-nav.robot-sensor-telemetry
Robot Sensor Telemetry Dataset
Description
This dataset contains real-time sensor telemetry collected from an autonomous robot built for CIE-349/408 Embedded Systems at Zewail City University of Science and Technology (Spring 2026).
The robot uses a PIC16F877A microcontroller reading 4x HC-SR04 ultrasonic sensors at 250ms intervals. Telemetry is streamed over UART to an ESP32 NodeMCU, forwarded via UDP to a Raspberry Pi 3B, and served to a Flutter mobile app over HTTP.… See the full description on the dataset page: https://huggingface.co/datasets/nuerrr/robot-sensor-telemetry.real-robot-driving-sessions
Real-Robot Driving Sessions: the 18 minutes that trained our 101-parameter driver
Three real driving sessions of our tracked test robot, recorded at 20 Hz on the test floor.
These are the exact sessions that trained
NCDTech/real-robot-driving-mlp-numpy, the weight file shown running in
this video.
We can prove the lineage.
Our desktop studio logs every training run, and the entry for that weight file reads:
2026-04-24 16:14:25 | build_dataset 시작: 3 파일 —… See the full description on the dataset page: https://huggingface.co/datasets/sazzysara21/real-robot-driving-sessions.humanoid-robot-radarscore
Roboterradar Humanoid & Quadruped Robot Dataset
Curated editorial assessments of 21 commercially relevant humanoid robots (16) and
quadruped robots (5), with a frozen scoring methodology, evidence grades and a complete
source register.
This Hugging Face repository is a versioned distribution mirror. The canonical,
citeable publication is the Zenodo release:
Version 1.0.0 DOI: https://doi.org/10.5281/zenodo.21797689
Concept DOI for all versions:… See the full description on the dataset page: https://huggingface.co/datasets/roboterradar/humanoid-robot-radarscore.robot-manip
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-manip.real-robot-driving-sessions
Real-Robot Driving Sessions: the 18 minutes that trained our 101-parameter driver
Three real driving sessions of our tracked test robot, recorded at 20 Hz on the test floor.
These are the exact sessions that trained
NCDTech/real-robot-driving-mlp-numpy, the weight file shown running in
this video.
We can prove the lineage.
Our desktop studio logs every training run, and the entry for that weight file reads:
2026-04-24 16:14:25 | build_dataset 시작: 3 파일 —… See the full description on the dataset page: https://huggingface.co/datasets/NCDTech/real-robot-driving-sessions.robot-trajectory
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-trajectory.robot-joint
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/robot-joint.Force-Controlled-Robotic-Mechanochemical-Synthesiscustomer-service-robot-support
This Dialogue
Comprised of fictitious examples of dialogues between a customer encountering problems with a robotic arm and a technical support agent. Check out the example below:
"id": 1,
"description": "Robotic arm calibration issue",
"dialogue": "Customer: My robotic arm seems to be misaligned. It's not picking objects accurately. What can I do? Agent: It appears that the arm may need recalibration. Please follow the instructions in the user manual to reset the calibration… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/customer-service-robot-support.robotsim-retargeted-g1-samples
robotsim retargeted (G1) - 10 sample preview
10 retargeted motion CSVs from the internal robotsim v0.3 retargeted dataset
(anims_uniform_g1skel_retarget_newton_v1). Each CSV is one motion track;
rows are frames, columns are joint-space pose channels for the Unitree G1
robot. First retargeting using the Newton-based retargeter (NOVA -> G1).
Layout
CSV/<capture_date_YYMMDD>/<motion_name>__A<id>.csv
10 motions sampled randomly with seed=42 across the 125 capture dates.… See the full description on the dataset page: https://huggingface.co/datasets/ryji/robotsim-retargeted-g1-samples.eval2_180_2phase_resolvedcolor_clean256_v1robot-reel-paired-outcomes
Robot Reel: see what a net score hides
30 recorded simulated trials, 20 reference/condition pairs, one task.
This is a small evaluation-results dataset, not robot training data, an official
LIBERO benchmark, or a general robustness score. The test splits hold the
complete pilot results; no training split or train/test partition is claimed.
Open the interactive replay
to inspect the original camera observations, controls and measured trajectories.
Collection and… See the full description on the dataset page: https://huggingface.co/datasets/glayguo/robot-reel-paired-outcomes.robotics-multi-agent-coordination-coherence-risk-v0.1What this repo is for
You use it to detect when robot fleets stop coordinating properly.
It captures real deployment failure signals:
shared map divergence
task allocation conflicts
comms latency desync
deadlocks in corridors
swarm formation collapse
Applies to:
warehouse robot fleets
hospital delivery robots
drone swarms
factory material handling
Prompt format
Return exactly one token
coherent or incoherent
robotics-command-actuation-coherence-loss-v0.1What this repo is for
You use it to detect when a robot sends the right command but the hardware does not execute it faithfully.
It captures deployment failures such as:
controller instability
actuator saturation
excessive latency
torque or thrust limits exceeded
feedback diverging from command
Applies to:
industrial robot arms
AMRs and mobile bases
drones
grippers and end effectors
Prompt format
Return exactly one token
coherent or incoherent
Force-Controlled-Robotic-Mechanochemical-Synthesisrobotaxi-price-index
Robotaxi Price Index Public Dataset
Version 1.0.1; data updated 2026-07-23.
This source-linked dataset contains 12 deduplicated robotaxi fare, vehicle-cost, and unit-economics observations, supported by 20 cited sources and 22 observation-to-source relationships.
Files
observations.csv: one row per deduplicated observation.
sources.csv: one row per unique source URL.
observation_sources.csv: citation relationships and source roles.
robotaxi-price-index.json:… See the full description on the dataset page: https://huggingface.co/datasets/wojiushiwn/robotaxi-price-index.Nigerian-Foodsviet-robot-laundry-reminder-log
viet-robot-laundry-reminder-log
A synthetic dataset for laundry-related reminders generated by a home robot.
Columns:
id: row id
timestamp_local: local time string
basket_location: where the laundry basket is
fill_level_pct: estimated fill level 0–100
days_since_last_wash: integer days
reminder_sent: yes/no
user_action: did_wash, snoozed, ignored
note_en: short English note
License
MIT
eval2_180_split_inspection_posebasedviet-robot-energy-usage-log-v2
viet-robot-energy-usage-log
A small synthetic dataset with coarse energy usage estimates for different
robot activities.
Columns:
id: row id
activity: cleaning, mapping, idle_docked, patrolling, voice_only
duration_min: duration in minutes
energy_wh: estimated energy used in Wh
time_of_day: morning, afternoon, evening, night
note_en: short English context
Values are made up for demo purposes and not based on real hardware.
License
MIT
my-robotics-dataset-12
My Robotics Dataset 12
This dataset contains synthetic robotics interaction data designed for
reinforcement learning experiments, control policy evaluation, and
navigation simulation.
Data Structure
Each row represents a timestep within an episode, including state,
action, and reward signals.
Intended Use
Reinforcement learning benchmarks
Robotics control experiments
Simulation-based policy testing
Simple-Robot-Action-Dataset-v1
Simple Robot Action Dataset v1
Basic multimodal dataset for robot action training.
Columns
image
audio
sensor_1
sensor_2
movement_label
object_label
voice_command
viet-robot-music-scenes
viet-robot-music-scenes
A small synthetic dataset of music scenes and preferences for a home robot.
Columns:
id: row id
scene_id: identifier of the scene
description_vi: description in Vietnamese
description_en: description in English
time_of_day: morning, afternoon, evening, night
mood: calm, focused, energetic, sleep
volume_level: 1–10 suggested volume
Manually authored for demo purposes.
License
MIT
viet-robot-security-events
viet-robot-security-events
A synthetic dataset of simple security-related events in a smart home.
Columns:
id: row id
event_type: door_open, window_open, motion_detected, noise_high, device_disconnected
location: where the event happened
time_hour: integer hour of day (0-23)
is_night: yes/no
human_confirmed: yes/no (whether a human was seen)
note: short English note
For demos only, not real security logs.
License
MIT
robot-bolu-syntheticviet-robot-weather-scenes
viet-robot-weather-scenes
A tiny synthetic dataset of weather scenes and suggested indoor robot modes.
Columns:
id: row id
weather: sunny, cloudy, raining, storm, hot, cold
time_of_day: morning, afternoon, evening, night
outside_temp_c: approximate outdoor temperature
outside_humidity_pct: approximate outdoor humidity
suggested_mode: normal, quiet, safe_check_windows, extra_dry, stay_docked
note_en: short English note
For demo and educational purposes only.
License… See the full description on the dataset page: https://huggingface.co/datasets/hoangs/viet-robot-weather-scenes.viet-robot-light-scenes-v2
viet-robot-light-scenes
A small synthetic dataset of preferred lighting scenes for a smart home.
Columns:
id: row id
scene_id: identifier of the lighting scene
room: room name
time_of_day: morning, afternoon, evening, night
activity: short description
brightness_pct: 0–100
color_temp_k: approximate color temperature in Kelvin
note_en: short English note
For demo and educational purposes only.
License
MIT
my-robotics-dataset-5