See dataset details: https://github.com/logpai/loghub

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Loghub License:

The datasets are freely available for research or academic work, subject to the following condition: For any usage or distribution of the loghub datasets, please refer to the loghub repository URL (https://github.com/logpai/loghub)
and cite the loghub paper (Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics) where applicable.

The above license notice shall be included in all copies of the datasets.

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See dataset details: https://github.com/logpai/Loghub-2.0

The datasets are freely available for research or academic work, subject to the following condition: For any usage or distribution of the LogPub datasets, please refer to the LogPub repository URL (https://github.com/logpai/Loghub-2.0) and cite the LogPub paper (A Large-scale Evaluation for Log Parsing Techniques: How Far are We?) where applicable.

Log PM is a log parser benchmark emphasizing precise in-message parameter detection rather than template-based message clustering. This dataset is a combination of smaller datasets used for this benchmark. Datasets are collected from LogHub, parsed using handcrafted regexes, and stored in CSV files. Each CSV file contains no header and three columns. The first one is the message, the second is the parameter mask, and the third one is the index of the matching regex. The necessary dataset parts are downloaded automatically in the LogPM benchmark, so no direct download is required for benchmarking.

The benchmark includes the following datasets:

• Android
• Apache
• Hadoop
• HDFS
• HPC
• Linux
• OpenStack
• Proxifier
• SSH
• ZooKeeper