Recommendations for Starting with a Custom Industrial Log Dataset

[Tornadosky]

I'm about to start working with a custom real-world dataset. These are text-based machine logs collected from a car production plant. Before receiving the data, I would like to prepare a suitable pipeline for parsing and analyzing it (e.g., anomaly detection, preventive data analysis).

I’ve reviewed many papers and tools, including Drain, DeepLog, LogLLM, LogSD, and others; but it’s still quite difficult to choose the most appropriate starting point for industrial logs.

Could you please advise on the following:

• Which existing datasets in Loghub are most suitable for initial testing, especially those that resemble industrial environments?

• What models or tools do you recommend for parsing and analyzing logs from a production plant?

• Are there any best practices or lessons learned when transitioning from academic datasets to custom industrial ones?