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@@ -25,8 +25,6 @@ This dataset is designed to aid the detection of rash driving behavior on bikes
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  This dataset consists of sensor data from bikes equipped with mobile sensors, specifically aimed at detecting rash driving behavior. The dataset contains the following features:
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  - **Accelerometer Data**: Accelerations along the x, y, and z axes (`ax`, `ay`, `az`).
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  - **Sensor Orientation**: Azimuth, pitch, and roll values describing the orientation of the bike.
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- - **Geospatial Information**: Latitude and longitude for location data.
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- - **Speed**: The speed of the bike during each recording.
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  - **Label**: A binary target variable (`is_rash`) indicating whether the riding behavior is considered rash (1) or not (0).
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  This dataset is intended for training machine learning models and anomaly detection systems focused on road safety and rider behavior analysis.
@@ -58,16 +56,12 @@ This dataset is primarily intended for:
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  The dataset contains the following fields:
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  | Field | Type | Description |
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- |---------------|------------|------------------------------------------------------|
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- | `device_id` | String | Unique identifier for the device (bike). |
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  | `timestamp` | Integer | Timestamp of the data entry. |
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  | `ax`, `ay`, `az` | Float | Accelerometer values for the x, y, and z axes. |
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  | `azimuth` | Float | Azimuth angle of the bike. |
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  | `pitch` | Float | Pitch angle of the bike. |
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- | `roll` | Float | Roll angle of the bike. |
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- | `lat` | Float | Latitude of the bike's location. |
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- | `lon` | Float | Longitude of the bike's location. |
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- | `speed` | Float | Speed of the bike. |
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  | `is_rash` | Integer | Label indicating rash driving behavior (1 = rash, 0 = safe). |
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  ## Dataset Creation
 
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  This dataset consists of sensor data from bikes equipped with mobile sensors, specifically aimed at detecting rash driving behavior. The dataset contains the following features:
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  - **Accelerometer Data**: Accelerations along the x, y, and z axes (`ax`, `ay`, `az`).
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  - **Sensor Orientation**: Azimuth, pitch, and roll values describing the orientation of the bike.
 
 
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  - **Label**: A binary target variable (`is_rash`) indicating whether the riding behavior is considered rash (1) or not (0).
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  This dataset is intended for training machine learning models and anomaly detection systems focused on road safety and rider behavior analysis.
 
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  The dataset contains the following fields:
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  | Field | Type | Description |
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+ |---------------|------------|------------------------------------------------------| |
 
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  | `timestamp` | Integer | Timestamp of the data entry. |
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  | `ax`, `ay`, `az` | Float | Accelerometer values for the x, y, and z axes. |
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  | `azimuth` | Float | Azimuth angle of the bike. |
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  | `pitch` | Float | Pitch angle of the bike. |
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+ | `roll` | Float | Roll angle of the bike. | |
 
 
 
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  | `is_rash` | Integer | Label indicating rash driving behavior (1 = rash, 0 = safe). |
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  ## Dataset Creation