Update README.md

README.md

@@ -117,6 +117,25 @@ The dataset has demonstrated strong performance across classical and deep-learni
 
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+## 📝 Data Split
+This dataset is provided with standard train/validation/test splits created using an 80/10/10 random split from the master file `habibi.csv`.
+
+```
+import pandas as pd
+from sklearn.model_selection import train_test_split
+
+df = pd.read_csv("habibi.csv")
+
+train, temp = train_test_split(df, test_size=0.2, random_state=42)
+val, test = train_test_split(temp, test_size=0.5, random_state=42)
+
+train.to_csv("train.csv", index=False)
+val.to_csv("validation.csv", index=False)
+test.to_csv("test.csv", index=False)
+
+```
+---
+
 ## 📊 Benchmarks
 
 Extensive experiments were conducted on: