ziadatalabs/FreeSyntheticManufacturingQC100M

Free Synthetic Manufacturing QC Sensor Readings (100M Rows)

100,000,000 synthetic sensor readings from a simulated manufacturing environment: 2,000 machines across 10 production lines, each reporting temperature, vibration, pressure, current draw, and humidity readings alongside pass/fail QC outcomes. Built for anomaly detection, predictive maintenance, and quality-control modeling work.

The data isn't uniform noise. Each machine has its own degradation curve between maintenance events, so readings drift more on machines that are overdue for service. QC failures are driven by that drift — anomalous readings fail at a meaningfully higher rate than normal ones, not a flat random rate — so the relationships in the data are ones a model can actually learn.

Schema

Column	Type	Description
reading_id	string	Unique reading identifier
machine_id	string	Machine identifier (MC-0001 to MC-2000)
production_line	string	Production line (Line-A to Line-J)
station_id	int	Station number within the line
timestamp	timestamp	Time of reading
sensor_type	string	temperature, vibration, pressure, current_draw, humidity
sensor_value	float	Reading value, in unit
unit	string	Unit for sensor_value
deviation_pct	float	% deviation from nominal value for that sensor type
is_anomaly	bool	True if deviation exceeds the anomaly threshold
qc_result	string	pass or fail
defect_code	string	Defect code when qc_result is fail; empty otherwise
shift	string	Day, Evening, or Night
machine_health_index	float	0-100 synthetic health score at time of reading

Format

Single Parquet file, Snappy-compressed.

Quick start

import pandas as pd
df = pd.read_parquet("manufacturing_qc_readings_100M.parquet")

import datasets
ds = datasets.load_dataset("ziadatalabs/FreeSyntheticManufacturingQC100M")

import duckdb
duckdb.sql("SELECT * FROM 'manufacturing_qc_readings_100M.parquet' LIMIT 10").show()

Notes

All data is synthetic — no real factory, machine, or production data of any kind. Generated for research, benchmarking, and prototyping use.

License & Usage

CC-BY-NC-4.0. Free for research, learning, and non-commercial use.

---

Want more free datasets? Hit the ❤️ and follow. And we take requests — tell us what synthetic data you need, and we'll build it.

Zia Data Labs · zia.data.team@protonmail.com