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README.md

@@ -1,71 +1,50 @@
 ---
-dataset_info:
-  features:
-  - name: Engine RPM
-    dtype: int64
-  - name: Lub Oil Pressure
-    dtype: float64
-  - name: Fuel Pressure
-    dtype: float64
-  - name: Coolant Pressure
-    dtype: float64
-  - name: Lub Oil Temp
-    dtype: float64
-  - name: Coolant Temp
-    dtype: float64
-  - name: RPM_x_OilPressure
-    dtype: float64
-  - name: RPM_x_FuelPressure
-    dtype: float64
-  - name: RPM_x_CoolantPressure
-    dtype: float64
-  - name: OilTemp_x_OilPressure
-    dtype: float64
-  - name: CoolantTemp_x_CoolantPressure
-    dtype: float64
-  - name: RPM_squared
-    dtype: int64
-  - name: OilPressure_squared
-    dtype: float64
-  - name: TempDiff
-    dtype: float64
-  - name: OilFuelPressureRatio
-    dtype: float64
-  - name: CoolantOilPressureRatio
-    dtype: float64
-  - name: OilHealthIndex
-    dtype: float64
-  - name: CoolantStress
-    dtype: float64
-  - name: OilTempPerRPM
-    dtype: float64
-  - name: CoolantTempPerRPM
-    dtype: float64
-  - name: PressureSum
-    dtype: float64
-  - name: TempSum
-    dtype: float64
-  - name: Engine Condition
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 2695600
-    num_examples: 14650
-  - name: validation
-    num_bytes: 359536
-    num_examples: 1954
-  - name: test
-    num_bytes: 539304
-    num_examples: 2931
-  download_size: 3900069
-  dataset_size: 3594440
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: mit
+task_categories:
+  - tabular-classification
+tags:
+  - predictive-maintenance
+  - iot
+  - sensors
+  - fleet-management
+size_categories:
+  - 1K<n<10K
 ---
+
+# Predictive Maintenance Engine Sensor Dataset
+
+Engine sensor readings from commercial diesel vehicles for predictive maintenance classification.
+
+## Features
+
+| Feature | Description | Unit |
+|---------|-------------|------|
+| Engine RPM | Engine revolutions per minute | RPM |
+| Lub Oil Pressure | Lubrication oil pressure | bar |
+| Fuel Pressure | Fuel delivery pressure | bar |
+| Coolant Pressure | Cooling system pressure | bar |
+| Lub Oil Temp | Lubrication oil temperature | °C |
+| Coolant Temp | Engine coolant temperature | °C |
+| Engine Condition | Target: 0=Normal, 1=Needs Maintenance | binary |
+
+## Dataset Splits
+
+| Split | Samples | Purpose |
+|-------|---------|---------|
+| train | 75% | Model training |
+| validation | 10% | Hyperparameter tuning |
+| test | 15% | Final evaluation |
+
+All splits are stratified by `Engine Condition` to maintain class balance.
+
+## Usage
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("jskswamy/predictive-maintenance-data")
+train_df = dataset["train"].to_pandas()
+```
+
+## License
+
+MIT License