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--- |
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pretty_name: HDFS_v1 |
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dataset_name: logfit-project/HDFS_v1 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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size_categories: |
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- 10M<n<20M |
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annotations_creators: |
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- logfit-project |
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license: other |
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--- |
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# Dataset Card for logfit-project/HDFS_v1 |
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## Dataset Summary |
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The HDFS v1 log dataset captures Hadoop Distributed File System (HDFS) console logs that were collected |
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from a private cloud deployment while benchmark workloads were executed. Each log line can be associated |
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with one or more block identifiers; block-level anomaly labels were generated by manually crafted rules. |
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This script preserves the raw line structure while attaching a binary anomaly flag for downstream anomaly |
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detection research. |
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## Supported Tasks and Leaderboards |
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- anomaly-detection: binary classification of logs. |
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## Dataset Structure |
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- `date`: Six-digit date stamp from the original console output (`YYMMDD`). |
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- `time`: Six-digit time stamp (`HHMMSS`). |
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- `pid`: Process identifier extracted from the log line. |
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- `level`: Log level (e.g., `INFO`). |
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- `component`: Java/daemon component emitting the log entry. |
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- `content`: Verbose message content for the event. |
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- `block_id`: Space-separated block identifiers discovered in the log line (empty if none present). |
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- `anomaly`: Binary indicator derived from block-level labels (`1` = anomalous block). |
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## Source Data |
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- **Homepage:** https://github.com/logpai/loghub/tree/master/HDFS#hdfs_v1 |
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- **Original Maintainers:** The LogPAI team (https://logpai.com/). |
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## Dataset Creation |
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The raw logs were parsed in a streaming fashion using a deterministic regular expression so that large-scale |
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HDFS deployments can be transformed without exhausting memory. Block-level labels are joined on the fly by |
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searching for block identifiers in each line. |
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## Uses |
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Suitable for supervised and semi-supervised anomaly detection across distributed system logs, log template |
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mining, and benchmarking log representation learning. |
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## Citation |
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- Wei Xu, Ling Huang, Armando Fox, David Patterson, Michael Jordan. "Detecting Large-Scale System Problems |
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by Mining Console Logs", SOSP 2009. |
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- Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu. "Loghub: A Large Collection of System Log |
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Datasets for AI-driven Log Analytics", ISSRE 2023. |
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## Dataset Statistics |
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- Number of log lines: 11175629 |
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