Update dataset card

README.md

@@ -1,36 +1,15 @@
 ---
-license: apache-2.0
+pretty_name: HDFS_v1
+dataset_name: logfit-project/hdfs_v1
 task_categories:
-- text-classification
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-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: block_id
-    dtype: string
-  - name: anomaly
-    dtype: int8
-  splits:
-  - name: train
-    num_bytes: 2069809345
-    num_examples: 11175629
-  download_size: 382239509
-  dataset_size: 2069809345
+- anomaly-detection
+language:
+- en
+size_categories:
+- 10M<n<15M
+annotations_creators:
+- logfit-project
+license: other
 ---
 
 # Dataset Card for logfit-project/hdfs_v1
@@ -42,7 +21,7 @@ with one or more block identifiers; block-level anomaly labels were generated by
 This script preserves the raw line structure while attaching a binary anomaly flag for downstream anomaly
 detection research.
 
-## Supported Tasks
+## Supported Tasks and Leaderboards
 - anomaly-detection: binary classification of logs.
 
 ## Dataset Structure
@@ -52,6 +31,7 @@ detection research.
 - `level`: Log level (e.g., `INFO`).
 - `component`: Java/daemon component emitting the log entry.
 - `content`: Verbose message content for the event.
+- `block_id`: Space-separated block identifiers discovered in the log line (empty if none present).
 - `anomaly`: Binary indicator derived from block-level labels (`1` = anomalous block).
 
 ## Source Data
@@ -74,4 +54,4 @@ mining, and benchmarking log representation learning.
   Datasets for AI-driven Log Analytics", ISSRE 2023.
 
 ## Dataset Statistics
-- Number of log lines: 11175629
+- Number of log lines: 11175629