Jvachier/industrial-maintenance-synthetic

Industrial Maintenance Synthetic Dataset

Synthetic dataset of 1M sensor tag records and 1M maintenance work orders across 37 industrial equipment types, generated for domain-specific NLP models in industrial maintenance.

Dataset Details

Property	Value
Total rows	~2M (1M sensor tags + 1M maintenance records)
Equipment types	37
Equipment instances	145
Languages	English
Format	Parquet
With impurities	Yes (10% rate)
Build date	2026-03-07
License	Apache 2.0

Dataset Structure

Sensor Tags (sensor_tags)

Tag_name ; Server_name ; Description ; Units ; Building ; Production_line ; Equipment_ID ; Equipment_type ; Variable_type

Field	Description	Example
Tag_name	Unique sensor identifier	centrifugal_pump_p102_bearing_temp_de
Server_name	Data acquisition server	OPC_SERVER_01
Description	Human-readable description	Drive end bearing temperature pump P-102
Units	Measurement units	degC, bar, RPM, Boolean
Building	Physical location	B02
Production_line	Process line	LINE_A
Equipment_ID	Equipment identifier	P-102
Equipment_type	Equipment category	Centrifugal Pump
Variable_type	Data type	Analog, Discrete, Text, DateTime

Maintenance Records (maintenance)

Location (building number) ; Region ; WorkOrder ; Equipment_ID ; OrderType ; WorkOrderDescription ; OperationDescription ; MaintenanceWorkCenter ; OperationWorkCenter ; Maintenance_activity_type ; CreatedDate ; ScheduledStartDate ; ScheduledFinishDate ; ActualStartDate ; ActualFinishDate ; TechnicalCompletionDate ; CloseData ; ActualWork ; PlannedWork ; OrderStatus

Work orders cover order types: CM (Corrective), PM (Preventive), PDM (Predictive), EM (Emergency), STAT (Statutory).

Equipment Types Covered

Centrifugal Pump, Compressor, Heat Exchanger, Reactor, Distillation Column, Storage Tank, Boiler, Centrifuge, Evaporator, Crystalliser, Filter, Agitator, Belt Conveyor, Motor, Separator, Dryer, Extruder, Cooling Tower, HVAC Unit, Pressure Vessel, Gas Turbine, Ball Mill, Screw Conveyor, Rotary Dryer, Hydraulic Press, Rotary Lobe Pump, Diaphragm Pump, Dosing Pump, Gas Scrubber, Vacuum Pump, Gearbox, Air Compressor, Steam Turbine, Spray Dryer, Ultrafiltration Unit, Fermentor, Fluid Catalytic Cracker.

Data Quality

This dataset includes intentional impurities (10% rate) to simulate real-world industrial data:

• Missing values (3% of cells)
• Typographical errors in text descriptions
• Unit format variants (degC / °C / Celsius)
• Equipment abbreviations (CP, HX, COMP)
• Date anomalies (actual finish before actual start)

This makes the dataset suitable for testing data cleaning pipelines and training robust NLP models.

Usage

from datasets import load_dataset

# Load sensor tags
tags = load_dataset("jvachier/industrial-maintenance-synthetic", data_files="sensor_tags.parquet")

# Load maintenance records
maintenance = load_dataset("jvachier/industrial-maintenance-synthetic", data_files="maintenance.parquet")

Or with pandas:

import pandas as pd

tags_df = pd.read_parquet("sensor_tags.parquet")
maintenance_df = pd.read_parquet("maintenance.parquet")

Generation

This dataset was generated using the open-source pipeline at: github.com/jvachier/industrial-maintenance-synthetic-data

Also available on Kaggle (CSV format): kaggle.com/datasets/jvachier/industrial-maintenance-synthetic-dataset

The generation pipeline uses config-driven templates which can be freely modified to generate custom variants of this dataset.

Intended Use

• Pre-training domain-specific encoder transformers (MLM)
• Building and evaluating RAG retrieval pipelines
• Predictive maintenance NLP research
• Benchmarking embedding models on industrial text
• Testing ETL and data quality frameworks

Citation

@dataset{vachier2026industrial,
  author    = {Vachier, Jeremy},
  title     = {Industrial Maintenance Synthetic Dataset},
  year      = {2026},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/datasets/jvachier/industrial-maintenance-synthetic}
}

Author

Jeremy Vachier — jvachier.github.io