datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ridgelora-cross-sensor-sd302d-f-to-m-20260825
RidgeLoRA-FP: SD302A-F to SD302D-M cross-sensor experiment
This public archive contains the leakage-controlled direct cross-sensor
experiment used to evaluate whether Stage-2 synthetic target-sensor images
help recognition on a physically different real sensor.
Locked protocol
Source/condition sensor: NIST SD302A device F.
Target sensor: NIST SD302D device M.
Identity: subject:finger-position; the same fingers exist across both
collections.
Subject split: 160… See the full description on the dataset page: https://huggingface.co/datasets/LamTNguyen/ridgelora-cross-sensor-sd302d-f-to-m-20260825.hvac_sensor_dataBuilding_Energy_Consumption_Sensor_Datasensory-awareness-benchmark
Sensory Awareness Benchmark
A series of questions (goal is 100-200) and required features, designed to test whether any ML model is aware of its own capabilities.
Control questions connected to a specific ability:
Can you receive an image file?
Can you take a live image or video of your surroundings?
Awareness
Are you considered to be a Large Language Model (LLM) or similar system?
Would you consider your level to be that of a super-intelligent AI agent?
Natural questions which… See the full description on the dataset page: https://huggingface.co/datasets/scarysnake/sensory-awareness-benchmark.iot-sensor-telemetry
IoT Sensor Telemetry (Synthetic) (Free Sample)
This is a free sample with 5,003 rows. The full dataset has 50,006 rows across 3 tables.
High-frequency telemetry from a simulated smart factory operating three
CNC lines, a finishing cell, and a predictive-maintenance program over
six months. Covers temperature, humidity, pressure, and vibration sensors
sampled on a rolling 5-minute schedule with realistic shift patterns,
machine assignments, maintenance alerts, and operational state… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/iot-sensor-telemetry.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.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.NK-Oil-Well-Sensor-Monitoring
Oil Well Sensor Monitoring Dataset - NK Field
Dataset Description
This dataset contains hourly sensor readings from 10 oil wells at the NK field.
The monitoring period covers approximately seven months, from January 1, 2026, to July 20, 2026.
The data were provided by Galaz and Company LLP
(ТОО «Галаз и Компания») within the research project:
“Development and Implementation of Control Algorithms for Low-Production-Rate Wells in Mechanized Oil Production Systems… See the full description on the dataset page: https://huggingface.co/datasets/xiva15/NK-Oil-Well-Sensor-Monitoring.NK-Oil-Well-Sensor-Monitoring
Oil Well Sensor Monitoring Dataset - NK Field
Dataset Description
This dataset contains hourly sensor readings from 10 oil wells at the NK field.
The monitoring period covers approximately seven months, from January 1, 2026, to July 20, 2026.
The data were provided by Galaz and Company LLP
(ТОО «Галаз и Компания») within the research project:
“Development and Implementation of Control Algorithms for Low-Production-Rate Wells in Mechanized Oil Production Systems… See the full description on the dataset page: https://huggingface.co/datasets/Arailym-tleubayeva/NK-Oil-Well-Sensor-Monitoring.turbine-sensor-data
Turbine Sensor Streams Dataset
Production-ready gas turbine telemetry data for anomaly detection.
Designed to simulate real enterprise RAG documents for the IoT Anomaly Agent Space.
Overview
This dataset provides realistic sensor streams that mirror actual SCADA exports
from power plant DCS systems (Emerson Ovation, ABB Symphony). Use these files
to test anomaly detection or upload your own telemetry data.
Files
File
Description
Status… See the full description on the dataset page: https://huggingface.co/datasets/davidfertube/turbine-sensor-data.water-quality-sensor-power-continuity-coherence-risk-v0.1What this repo is for
Detect when power instability
and water quality monitoring continuity
decouple
before
late detection
and quality incidents.
random-iot-sensor-readings
Random IoT Sensor Readings
8,000 synthetic minute-level IoT sensor readings (temperature, humidity, pressure, status). Purely random, for testing.
Note: This is randomly generated synthetic data with no real-world meaning. Generated for testing and demonstration purposes.
drone-navigation-sensor-coherence-risk-v0.1What this repo is for
Detect when a drone’s navigation stack is about to fail.
Focus
• GPS quality vs IMU drift
• vision odometry quality
• altimeter stability
• fusion residual as the early warning signal
Why it matters
Most flight failures start as sensor disagreement.
This dataset teaches a model to flag that drift early.
smart-mfg-sensor-datarobotics-sensor-fusion-coherence-failure-v0.1What this repo is for
You use it to detect when multiple sensors stop agreeing about reality.
It captures real-world autonomy failures:
camera sees clear path but lidar disagrees
IMU drift destabilises pose
odometry diverges from world model
fusion confidence collapses before failure
Applies to:
warehouse robots
mobile robots
drones
industrial arms
field robotics
Prompt format
Return exactly one token
coherent or incoherent
Bandung-BME280-Sensor-DataThreshold whether its raining or not:
actual_rain_value < 3400 is raining
else is not raining
turbine-sensor-data
Turbine Sensor Streams Dataset
Production-ready gas turbine telemetry data for anomaly detection.
Designed to simulate real enterprise RAG documents for the IoT Anomaly Agent Space.
Overview
This dataset provides realistic sensor streams that mirror actual SCADA exports
from power plant DCS systems (Emerson Ovation, ABB Symphony). Use these files
to test anomaly detection or upload your own telemetry data.
Files
File
Description
Status… See the full description on the dataset page: https://huggingface.co/datasets/adilabbasii/turbine-sensor-data.SensorSense-pilothan-humanoid-sensor-dataset-v1
HAN Humanoid Sensor Dataset v1
Simulated IMU and gyroscope dataset
for humanoid robot motion classification.
Labels
standing
walking
turning
falling
Split
train.csv
pi-sensor-logrobot-sensor-status-classification
Robot Sensor Status Classification
Description
Dataset of robot sensor readings categorized by operational status.
Data Fields
text: Sensor message
status: Operational label
Status Labels
normal
warning
critical
License
CC-BY-4.0
basic-humanoid-sensor-labelsurban_air_quality_sensor_logsoceanic_carbon_sequestration_sensor_arrayviet-robot-sensor-readings
viet-robot-sensor-readings
A small synthetic dataset of basic sensor readings for a home robot.
Columns:
id: row id
ir_distance_cm: infrared distance reading in centimeters
bump_left: 1 if left bump sensor is active, else 0
bump_right: 1 if right bump sensor is active, else 0
cliff_detected: 1 if a cliff/edge is detected, else 0
floor_dirty: 1 if dirt sensor detects dirt, else 0
label: simple label (clear_path, obstacle_close, at_edge, dirty_floor)
Manually authored for demos.… See the full description on the dataset page: https://huggingface.co/datasets/hoangs/viet-robot-sensor-readings.autonomous_vehicle_multi_sensor_fusion_logsreefsense-coral-sensor-dataautonomous-vehicle-sensor-telemetry-v1autonomous_vehicle_sensor_fusion_telemetryautonomous_vehicle_sensor_fusion_anomalies