Add engine condition dataset with real sensor data

README.md

@@ -3,14 +3,19 @@
 Binary classification dataset for predicting **Engine Condition** (0=normal, 1=faulty)
 based on sensor readings.
 
+## Dataset Information
+- **Rows**: 19,535
+- **Columns**: 7
+- **Target Distribution**: {0: np.int64(7218), 1: np.int64(12317)}
+
 ## Columns
-- `Engine rpm`
-- `Lub oil pressure`
-- `Fuel pressure`
-- `Coolant pressure`
-- `lub oil temp`
-- `Coolant temp`
-- `Engine Condition` (target: 0 or 1)
+- `Engine rpm` - Engine rotations per minute
+- `Lub oil pressure` - Lubricating oil pressure (bar)
+- `Fuel pressure` - Fuel system pressure (bar)
+- `Coolant pressure` - Cooling system pressure (bar)
+- `lub oil temp` - Lubricating oil temperature (°C)
+- `Coolant temp` - Coolant temperature (°C)
+- `Engine Condition` - Target variable (0=normal, 1=faulty)
 
-## Notes
-- Public dataset for experimentation and MLOps demos
+## Source
+Real engine sensor data for predictive maintenance applications.