Datasets:
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README.md
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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
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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
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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
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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 ≥
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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 **
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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).
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