FactoryNet: Large-Scale Industrial Robotic Telemetry and Simulations

FactoryNet is a large-scale, unified dataset designed to advance Industrial Time-Series Foundation Models. It provides standardized, high-frequency telemetry from different robot morphologies and specialized end-effectors, along with tens of thousands of simulated counterfactuals. The dataset was created by 'factorynet' and was last updated on the platform in May 2026.

Use Cases

• Training time-series foundation models based on standardized industrial telemetry.
• Benchmarking robotic control algorithms based on data from different robot morphologies like UR3 and KUKA.
• Simulating manufacturing scenarios based on tens of thousands of counterfactual examples.
• Developing anomaly detection systems for robotic end-effectors like screwdrivers and grippers.

Strengths

• Dataset is described as 'large-scale' and designed for foundation model training.
• Includes telemetry from multiple robot morphologies (UR3, KUKA) and end-effectors (screwdrivers, grippers).
• Contains tens of thousands of simulated counterfactual scenarios.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Last updated 2026-05-08 13:01:12; freshness should be verified.

Provenance

Source

huggingface

Collection Method

Likely collected from robotic manufacturing systems and simulations.

Freshness

Last updated 2026-05-08 13:01:12.