Update dataset card

README.md

@@ -1,37 +1,59 @@
 ---
-dataset_info:
-  features:
-  - name: label
-    dtype: string
-  - name: timestamp
-    dtype: int64
-  - name: date
-    dtype: string
-  - name: node
-    dtype: string
-  - name: time
-    dtype: string
-  - name: node_repeat
-    dtype: string
-  - name: type
-    dtype: string
-  - name: component
-    dtype: string
-  - name: level
-    dtype: string
-  - name: content
-    dtype: string
-  - name: anomaly
-    dtype: int8
-  splits:
-  - name: train
-    num_bytes: 861942384
-    num_examples: 4747963
-  download_size: 123946518
-  dataset_size: 861942384
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+pretty_name: BGL
+dataset_name: logfit-project/BGL
+task_categories:
+- text-classification
+language:
+- en
+size_categories:
+- 1M<n<10M
+annotations_creators:
+- logfit-project
+license: other
 ---
+
+# Dataset Card for logfit-project/BGL
+
+## Dataset Summary
+The BlueGene/L (BGL) dataset contains console logs emitted by a 131,072-processor BlueGene/L supercomputer
+operated at Lawrence Livermore National Laboratory. Each line records hardware or software events tagged
+with an alert category, enabling downstream research on alert detection, prediction, and log analytics.
+
+## Supported Tasks and Leaderboards
+- anomaly-detection: binary or multi-class classification of alert categories.
+- log-parsing: template discovery and sequence modeling for high-performance computing (HPC) systems.
+
+## Dataset Structure
+- `label`: Alert category tag (`-` indicates a non-alert informational message).
+- `timestamp`: Unix epoch timestamp associated with the log event.
+- `date`: Calendar date formatted as `YYYY.MM.DD`.
+- `node`: Hardware node identifier that emitted the log line.
+- `time`: Precise timestamp including microseconds (`YYYY-MM-DD-HH.MM.SS.xxxxxx`).
+- `node_repeat`: Repeated node identifier found in the structured dataset.
+- `type`: High-level event type (e.g., `RAS`).
+- `component`: Subsystem reporting the log (e.g., `KERNEL`).
+- `level`: Severity level accompanying the event.
+- `content`: Verbose description of the underlying event.
+- `anomaly`: Binary indicator (`1` for alert labels, `0` for non-alert `-`).
+
+## Source Data
+- **Homepage:** https://github.com/logpai/loghub/tree/master/BGL
+- **Original Maintainers:** The LogPAI team (https://logpai.com/).
+- **Additional Context:** https://www.usenix.org/cfdr-data#hpc4
+
+## Dataset Creation
+The raw BlueGene/L logs are parsed with a deterministic regular expression to reproduce the schema
+published in `BGL_2k.log_structured.csv`. The transformation streams lines sequentially so the full corpus
+can be processed without loading the entire file into memory.
+
+## Uses
+Suitable for supervised alert detection, failure prediction, anomaly detection, sequence modeling of HPC
+logs, and benchmarking log parsing techniques.
+
+## Citation
+- Adam J. Oliner, Jon Stearley. "What Supercomputers Say: A Study of Five System Logs", DSN 2007.
+- Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu. "Loghub: A Large Collection of System Log
+  Datasets for AI-driven Log Analytics", ISSRE 2023.
+
+## Dataset Statistics
+- Number of log lines: 4747963