sensor-data
sensor_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 32,
"total_frames": 152837,
"total_tasks": 32,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 3.33,
"splits": {
"train": "0:32"
},
"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/AnasElkhabbaz/sensor_dataset.Madrid-Traffic-SensorDatasetshvac_sensor_datagreenhouse-sensor-data
Pomona Greenhouse Sensor Data
This public research dataset contains greenhouse time-series files and Pomona
training-oriented JSONL derived from greenhouse sensor data. It supports
experiments in compact agricultural reasoners, digital twins, anomaly review,
and structured decision-support models.
Research data, not an operational control policy. Sensor records may be
incomplete, noisy, synthetic, transformed, or facility-specific. Do not use
dataset rows as direct actuator… See the full description on the dataset page: https://huggingface.co/datasets/Okyanus/greenhouse-sensor-data.industrial-sensor-anomaly-data
Industrial Equipment Sensor Anomaly Data
Overview
Synthetic multivariate sensor data from a simulated manufacturing plant with 5 equipment units (EQ-001 through EQ-005). Each unit generates 10,000 one-minute-interval readings across 11 sensor channels, 2 metadata fields, 3 derived features, and equipment operating mode labels.
The dataset is designed for anomaly detection benchmarking. It embeds 4 distinct anomaly types at approximately 4.5% prevalence:
Thermal runaway —… See the full description on the dataset page: https://huggingface.co/datasets/Petsteb/industrial-sensor-anomaly-data.sensor_dataset
Forearm EMG Sensor Dataset (TsFile)
Apache TsFile version of AnasElkhabbaz/sensor_dataset.
Overview
Surface electromyography (EMG) recordings of the forearm, packaged in the
LeRobot v2.1 layout (robot_type = None). Each episode is one resting-state
recording trial of a subject, sampling three forearm muscle sensors over time.
Episodes: 32 recording trials.
Frames: 152,837 timesteps total, sampled at ~3.33 Hz (each trial ≈ 1500 s).
Tasks: 32, one per episode —… See the full description on the dataset page: https://huggingface.co/datasets/THULab/sensor_dataset.