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  # 📑 Dataset Card for Beverage Energy Tracker
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  This dataset card documents the **Beverage Energy Tracker** dataset.
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- It contains nutritional and energy-related features of 30 unique beverages, with an augmented split expanding to 300+ rows.
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  ---
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  **Out-of-Scope Use**
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  - Not intended for clinical, nutritional, or health policy decision-making.
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- - Values are approximate and curated manually not to be used for dietary guidance.
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  ---
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  ## Dataset Structure
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  - **Original split:** 30 manually curated beverages.
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- - **Augmented split:** 300+ rows, generated with Gaussian jitter (for continuous features) and ±1 step encoding (for ordinal features).
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  **Features:**
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  - `Beverage type` (string)
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  - `Calories` (float)
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  - `Volume (mL)` (integer)
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  - `Energy rating (1–5)` (ordinal)
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- - `is_high_sugar` (binary target: `1 = sugar ≥ 15g`, `0 = sugar < 15g`)
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  ---
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@@ -96,7 +96,7 @@ To study how nutritional features (sugar, calories, volume) can relate to **suga
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  **Data Collection and Processing**
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  - Data manually collected from: Starbucks, ALDI USA, MarketDistrict, Amazon, Walmart product pages.
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  - Manual preprocessing and type formatting were applied (e.g., ensuring numeric columns, clipping noise to avoid negative values).
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- - Binary target `is_high_sugar` was derived using a threshold of **15g sugar**.
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  **Source Data Producers**
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  - Original producers: beverage manufacturers and retailers (nutritional info posted publicly).
 
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  # 📑 Dataset Card for Beverage Energy Tracker
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  This dataset card documents the **Beverage Energy Tracker** dataset.
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+ It contains nutritional and energy-related features of 30 unique beverages, with an augmented split expanding to 300 rows.
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  ---
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  **Out-of-Scope Use**
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  - Not intended for clinical, nutritional, or health policy decision-making.
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+ - Values are approximate and curated manually - not to be used for dietary guidance.
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  ---
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  ## Dataset Structure
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  - **Original split:** 30 manually curated beverages.
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+ - **Augmented split:** 300 rows, generated with Gaussian jitter (for continuous features) and ±1 step encoding (for ordinal features).
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  **Features:**
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  - `Beverage type` (string)
 
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  - `Calories` (float)
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  - `Volume (mL)` (integer)
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  - `Energy rating (1–5)` (ordinal)
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+ - `is_high_sugar` (binary target: `1 = sugar ≥ 20g`, `0 = sugar < 20g`)
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  ---
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  **Data Collection and Processing**
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  - Data manually collected from: Starbucks, ALDI USA, MarketDistrict, Amazon, Walmart product pages.
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  - Manual preprocessing and type formatting were applied (e.g., ensuring numeric columns, clipping noise to avoid negative values).
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+ - Binary target `is_high_sugar` was derived using a threshold of **20g sugar**.
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  **Source Data Producers**
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  - Original producers: beverage manufacturers and retailers (nutritional info posted publicly).