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Description
5,003 rows of synthetic high-frequency telemetry from a simulated smart factory. The full dataset contains 50,006 rows across three tables, generated by mindweave to model three CNC lines, a finishing cell, and a predictive-maintenance program. Data was last updated on the platform in April 2026.
Use Cases
Training predictive maintenance algorithms based on sensor readings and maintenance alerts.
Simulating factory operations and shift patterns for digital twin development.
Analyzing time-series patterns in temperature, humidity, pressure, and vibration from rolling 5-minute samples.
Benchmarking anomaly detection models on synthetic industrial sensor data.
Strengths
Contains 5,003 rows in the free sample, with a full version of 50,006 rows.
Data spans a simulated six-month operational period with realistic shift patterns.
Covers multiple sensor types (temperature, humidity, pressure, vibration) and machine states.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Data is synthetic, which may limit real-world applicability and require validation.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
mindweave on Hugging Face.
Collection Method
Synthetically generated to simulate a smart factory environment.
Time Range
Covers a simulated six-month operational period.
Freshness
Last updated 2026-04-12 04:06:01; freshness should be verified.
Geography
Spatial coverage is not specified; likely a simulated factory.
License is unknown; terms of use must be verified before application.