Update README.md

README.md

@@ -3,14 +3,43 @@ license: mit
 size_categories:
 - 1M<n<10M
 tags:
-  - android
-  - malware
-  - cybersecurity
-  - concept-drift
-  - longitudinal
-  - security
-  - classification
-  - benchmark
+- android
+- malware
+- cybersecurity
+- concept-drift
+- longitudinal
+- security
+- classification
+- benchmark
+configs:
+- config_name: Baseline
+  data_files:
+  - split: train
+    path: Baseline/*/*_train.parquet
+  - split: test
+    path: Baseline/*/*_test.parquet
+  description: Default configuration using VarianceThreshold=0.001 with 4,561 features.
+- config_name: var_thresh_0.0001
+  data_files:
+  - split: train
+    path: var_thresh_0.0001/*/*_train.parquet
+  - split: test
+    path: var_thresh_0.0001/*/*_test.parquet
+  description: >-
+    Less aggressive feature filtering with VarianceThreshold=0.0001 (more
+    features retained).
+- config_name: var_thresh_0.01
+  data_files:
+  - split: train
+    path: var_thresh_0.01/*/*_train.parquet
+  - split: test
+    path: var_thresh_0.01/*/*_test.parquet
+  description: >-
+    More aggressive feature selection using VarianceThreshold=0.01 (fewer
+    features retained).
+language:
+- en
+pretty_name: LAMDA
 ---
 
 # LAMDA: A Longitudinal Android Malware Dataset for Drift Analysis
@@ -141,4 +170,4 @@ No PII or private user data is included. APKs are anonymized binaries.
   author    = {Kamol, Mahmuduzzaman and others},
   year      = {2025},
   url       = {https://huggingface.co/datasets/IQSeC-Lab/LAMDA}
-}
+}