datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hvac_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.Madrid-Traffic-SensorDatasetsBuilding_Energy_Consumption_Sensor_Dataindustrial-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.anaselkhabbaz_sensor_dataset
Sensor Dataset TsFile
Apache TsFile conversion of AnasElkhabbaz/sensor_dataset, a LeRobot v2.1 three-channel resting muscle-sensor dataset.
Source and provenance
Original dataset: https://huggingface.co/datasets/AnasElkhabbaz/sensor_dataset
Original author/uploader: Anas elkhabbaz (AnasElkhabbaz)
License: Apache-2.0
LeRobot codebase version: v2.1; robot type: not specified
Split: train (0:32); 32 episodes; 152,837 frame rows; 32 task labels; 32 Parquet shards… See the full description on the dataset page: https://huggingface.co/datasets/THULab/anaselkhabbaz_sensor_dataset.sensor-fusion-data
Agriculture Sensor Fusion Data Notes
Dataset summary
A documented Agriculture data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.… See the full description on the dataset page: https://huggingface.co/datasets/zhenghuinim/sensor-fusion-data.sensor-fusion-data
Sound Events Sensor Fusion Data Notes
Dataset summary
This data card accompanies a lightweight Sound Events loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
load_data.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/susharmapev/sensor-fusion-data.dataset_034267395_astronomy_sensor_fusion
dataset_034267395_astronomy_sensor_fusion.py
Dataset Summary
A astronomy dataset with sensor fusion modality, stored in webdataset format.
Preprocessing & Augmentation
Preprocessing: aggressive
Augmentation: randaugment
Splits & Sampling
Split strategy: leave one out
Sampling: contrastive
Quality & Labeling
Quality filtering: moderate
Labeling: manual
Files… See the full description on the dataset page: https://huggingface.co/datasets/fengjchen/dataset_034267395_astronomy_sensor_fusion.dataset_015279694_food_sensor_fusion
dataset_015279694_food_sensor_fusion.py
Dataset Summary
A food dataset with sensor fusion modality, stored in npy sharded format.
Preprocessing & Augmentation
Preprocessing: progressive
Augmentation: light
Splits & Sampling
Split strategy: temporal
Sampling: weighted
Quality & Labeling
Quality filtering: adaptive
Labeling: pseudo label
Files
dataset_015279694_food_sensor_fusion.py — main artifact… See the full description on the dataset page: https://huggingface.co/datasets/raphaelbonnet/dataset_015279694_food_sensor_fusion.Sensor_Driven_Environmental_Monitoring_LLM_Evaluation_Dataset
📌 Dataset Contents
Each sample includes:
category: The evaluation domain
prompt: The question given to the LLM
temperature: Environmental temperature input
humidity: Environmental humidity input
context: A scenario label (e.g., cool_humid, hot_dry, average_day)
reference: Expert-crafted expected output
All data is provided in a single JSON file.
🧪 Intended Use
This dataset supports research on:
LLM evaluation methods (semantic similarity, contextual… See the full description on the dataset page: https://huggingface.co/datasets/wayne-redemption/Sensor_Driven_Environmental_Monitoring_LLM_Evaluation_Dataset.dataset_049616294_sports_sensor_fusion
dataset_049616294_sports_sensor_fusion.py
Dataset Summary
A sports dataset with sensor fusion modality, stored in parquet format.
Preprocessing & Augmentation
Preprocessing: aggressive
Augmentation: autoaugment
Splits & Sampling
Split strategy: temporal
Sampling: weighted
Quality & Labeling
Quality filtering: strict
Labeling: pseudo label
Files
dataset_049616294_sports_sensor_fusion.py — main… See the full description on the dataset page: https://huggingface.co/datasets/ajayiyer/dataset_049616294_sports_sensor_fusion.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.dataset_142035555_math_sensor_fusion
dataset_142035555_math_sensor_fusion.py
Dataset Summary
A math dataset with sensor fusion modality, stored in lmdb format.
Preprocessing & Augmentation
Preprocessing: curriculum
Augmentation: none
Splits & Sampling
Split strategy: stratified 90 10
Sampling: hard negative
Quality & Labeling
Quality filtering: moderate
Labeling: manual
Files
dataset_142035555_math_sensor_fusion.py — main artifact of… See the full description on the dataset page: https://huggingface.co/datasets/Mhernandezgew/dataset_142035555_math_sensor_fusion.dataset_084301198_finance_sensor_fusion
dataset_084301198_finance_sensor_fusion.py
Dataset Summary
A finance dataset with sensor fusion modality, stored in arrow format.
Preprocessing & Augmentation
Preprocessing: auto ml
Augmentation: light
Splits & Sampling
Split strategy: leave one out
Sampling: contrastive
Quality & Labeling
Quality filtering: lenient
Labeling: self training
Files
dataset_084301198_finance_sensor_fusion.py — main… See the full description on the dataset page: https://huggingface.co/datasets/Abhishekyadavwood/dataset_084301198_finance_sensor_fusion.sensor-fusion-dataset96
Music Sensor Fusion Data Notes
Dataset summary
Preparation notes and schema examples for Music tasks using Sensor Fusion data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data card… See the full description on the dataset page: https://huggingface.co/datasets/ianggraini/sensor-fusion-dataset96.sensor-fusion-dataset
Social Sensor Fusion Data Notes
Dataset summary
A documented Social data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
load_data.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/ayaankumarah/sensor-fusion-dataset.316-NeuralLogic-sensor_dataset2This 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": 1200,
"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/LeRobot-worldwide-hackathon/316-NeuralLogic-sensor_dataset2.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.dataset_007415633_satellite_sensor_fusion
dataset_007415633_satellite_sensor_fusion.py
Dataset Summary
A satellite dataset with sensor fusion modality, stored in npy sharded format.
Preprocessing & Augmentation
Preprocessing: minimal
Augmentation: heavy
Splits & Sampling
Split strategy: stratified 90 10
Sampling: stratified
Quality & Labeling
Quality filtering: adaptive
Labeling: self training
Files… See the full description on the dataset page: https://huggingface.co/datasets/elsacastillo/dataset_007415633_satellite_sensor_fusion.sensor-fusion-dataset
Weather Sensor Fusion Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Weather work with Sensor Fusion inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/williamperezva/sensor-fusion-dataset.dataset_053685671_traffic_sensor_fusion
dataset_053685671_traffic_sensor_fusion.py
Dataset Summary
A traffic dataset with sensor fusion modality, stored in npy sharded format.
Preprocessing & Augmentation
Preprocessing: progressive
Augmentation: heavy
Splits & Sampling
Split strategy: leave one out
Sampling: balanced
Quality & Labeling
Quality filtering: lenient
Labeling: semi auto
Files
dataset_053685671_traffic_sensor_fusion.py — main… See the full description on the dataset page: https://huggingface.co/datasets/Aaravpat/dataset_053685671_traffic_sensor_fusion.sensor-fusion-data
Speech Sensor Fusion Data Notes
Dataset summary
A documented Speech data-preparation workflow for Sensor Fusion records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataloader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md… See the full description on the dataset page: https://huggingface.co/datasets/ChristopherOrivera/sensor-fusion-data.dataset_088038136_travel_sensor_fusion
dataset_088038136_travel_sensor_fusion.py
Dataset Summary
A travel dataset with sensor fusion modality, stored in jsonl format.
Preprocessing & Augmentation
Preprocessing: minimal
Augmentation: none
Splits & Sampling
Split strategy: kfold 5
Sampling: active
Quality & Labeling
Quality filtering: adaptive
Labeling: semi auto
Files
dataset_088038136_travel_sensor_fusion.py — main artifact of this… See the full description on the dataset page: https://huggingface.co/datasets/matteocolombo84/dataset_088038136_travel_sensor_fusion.dataset_134057080_nlp_summarization_sensor_fusion
dataset_134057080_nlp_summarization_sensor_fusion.py
Dataset Summary
A nlp summarization dataset with sensor fusion modality, stored in arrow format.
Preprocessing & Augmentation
Preprocessing: standard
Augmentation: randaugment
Splits & Sampling
Split strategy: stratified 90 10
Sampling: weighted
Quality & Labeling
Quality filtering: strict
Labeling: manual
Files… See the full description on the dataset page: https://huggingface.co/datasets/nikhilraowood/dataset_134057080_nlp_summarization_sensor_fusion.dataset_069048319_ocean_sensor_fusion
dataset_069048319_ocean_sensor_fusion.py
Dataset Summary
A ocean dataset with sensor fusion modality, stored in parquet format.
Preprocessing & Augmentation
Preprocessing: progressive
Augmentation: mixup cutmix
Splits & Sampling
Split strategy: temporal
Sampling: curriculum
Quality & Labeling
Quality filtering: strict
Labeling: pseudo label
Files
dataset_069048319_ocean_sensor_fusion.py — main… See the full description on the dataset page: https://huggingface.co/datasets/gabrielgirardiah/dataset_069048319_ocean_sensor_fusion.dataset_103585420_charts_sensor_fusion
dataset_103585420_charts_sensor_fusion.py
Dataset Summary
A charts dataset with sensor fusion modality, stored in lmdb format.
Preprocessing & Augmentation
Preprocessing: progressive
Augmentation: none
Splits & Sampling
Split strategy: leave one out
Sampling: random
Quality & Labeling
Quality filtering: strict
Labeling: manual
Files
dataset_103585420_charts_sensor_fusion.py — main artifact of this… See the full description on the dataset page: https://huggingface.co/datasets/samuelyoung/dataset_103585420_charts_sensor_fusion.dataset_130451098_nlp_qa_sensor_fusion
dataset_130451098_nlp_qa_sensor_fusion.py
Dataset Summary
A nlp qa dataset with sensor fusion modality, stored in arrow format.
Preprocessing & Augmentation
Preprocessing: adaptive
Augmentation: autoaugment
Splits & Sampling
Split strategy: leave one out
Sampling: weighted
Quality & Labeling
Quality filtering: moderate
Labeling: self training
Files
dataset_130451098_nlp_qa_sensor_fusion.py — main… See the full description on the dataset page: https://huggingface.co/datasets/ISHIKAWA1131/dataset_130451098_nlp_qa_sensor_fusion.industrial-sensor-anomaly-data
Industrial Equipment Sensor Anomaly Data (TsFile)
This dataset is a lossless conversion to the Apache TsFile
format of the HuggingFace dataset
Petsteb/industrial-sensor-anomaly-data,
a synthetic multivariate sensor benchmark for anomaly detection.
Original dataset
Source dataset: Petsteb/industrial-sensor-anomaly-data
License: MIT
Content: fully synthetic sensor data from a simulated manufacturing plant with
5 equipment units (EQ-001 .. EQ-005). Each unit… See the full description on the dataset page: https://huggingface.co/datasets/THULab/industrial-sensor-anomaly-data.