Update dataset card

README.md

@@ -1,29 +1,56 @@
 ---
-dataset_info:
-  features:
-  - name: date
-    dtype: string
-  - name: time
-    dtype: string
-  - name: pid
-    dtype: int32
-  - name: level
-    dtype: string
-  - name: component
-    dtype: string
-  - name: content
-    dtype: string
-  - name: anomaly
-    dtype: int8
-  splits:
-  - name: train
-    num_bytes: 1729634475
-    num_examples: 11175629
-  download_size: 286024691
-  dataset_size: 1729634475
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+pretty_name: HDFS_v1
+dataset_name: logfit-project/hdfs_v1
+task_categories:
+- anomaly-detection
+language:
+- en
+size_categories:
+- 10M<n<15M
+annotations_creators:
+- logfit-project
+license: other
 ---
+
+# Dataset Card for logfit-project/hdfs_v1
+
+## Dataset Summary
+The HDFS v1 log dataset captures Hadoop Distributed File System (HDFS) console logs that were collected
+from a private cloud deployment while benchmark workloads were executed. Each log line can be associated
+with one or more block identifiers; block-level anomaly labels were generated by manually crafted rules.
+This script preserves the raw line structure while attaching a binary anomaly flag for downstream anomaly
+detection research.
+
+## Supported Tasks and Leaderboards
+- anomaly-detection: binary classification of log lines based on the attached anomaly label.
+
+## Dataset Structure
+- `date`: Six-digit date stamp from the original console output (`YYMMDD`).
+- `time`: Six-digit time stamp (`HHMMSS`).
+- `pid`: Process identifier extracted from the log line.
+- `level`: Log level (e.g., `INFO`).
+- `component`: Java/daemon component emitting the log entry.
+- `content`: Verbose message content for the event.
+- `anomaly`: Binary indicator derived from block-level labels (`1` = anomalous block).
+
+## Source Data
+- **Homepage:** https://github.com/logpai/loghub/tree/master/HDFS#hdfs_v1
+- **Original Maintainers:** The LogPAI team (https://logpai.com/).
+
+## Dataset Creation
+The raw logs were parsed in a streaming fashion using a deterministic regular expression so that large-scale
+HDFS deployments can be transformed without exhausting memory. Block-level labels are joined on the fly by
+searching for block identifiers in each line.
+
+## Uses
+Suitable for supervised and semi-supervised anomaly detection across distributed system logs, log template
+mining, and benchmarking log representation learning.
+
+## Citation
+- Wei Xu, Ling Huang, Armando Fox, David Patterson, Michael Jordan. "Detecting Large-Scale System Problems
+  by Mining Console Logs", SOSP 2009.
+- 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: 11175629