README.md

---
dataset_info:
  features:
  - name: Beverage type
    dtype: string
  - name: Category
    dtype: string
  - name: Added sugar (g)
    dtype: float64
  - name: Calories
    dtype: float64
  - name: Volume
    dtype: string
  - name: Energy rating (1-5)
    dtype: int64
  - name: Is high sugar?
    dtype: int64
  splits:
  - name: original
    num_bytes: 2590
    num_examples: 30
  - name: augmented
    num_bytes: 25900
    num_examples: 300
  download_size: 13298
  dataset_size: 28490
configs:
- config_name: default
  data_files:
  - split: original
    path: data/original-*
  - split: augmented
    path: data/augmented-*
license: cc
language:
- en
task_categories:
- tabular-classification
tags:
- beverage
- energy
pretty_name: Beverage Energy Tracker
size_categories:
- 10K<n<100K
---
# Dataset Card for Beverage Energy Tracker

This dataset card documents the **Beverage Energy Tracker** dataset.  
It contains nutritional and energy-related features of 30 unique beverages, with an augmented split expanding to 300 rows.  

---

## Dataset Details

**Dataset Description**  
- **Curated by:** Bareethul Kader (Carnegie Mellon University, EST&P program)  
- **Language(s):** English (column labels, beverage names)  
- **License:** CC BY 4.0  
- **Repository:** [bareethul/beverage-energy-tracker](https://huggingface.co/datasets/bareethul/beverage-energy-tracker)  

---

## Uses

**Direct Use**  
- Educational practice in data collection, preprocessing, and augmentation.  
- Demonstration of label-preserving jitter augmentation for tabular datasets.  
- Binary classification task: predict whether a beverage is **high sugar** or not.  

**Out-of-Scope Use**  
- Not intended for clinical, nutritional, or health policy decision-making.  
- Values are approximate and curated manually - not to be used for dietary guidance.  

---

## Dataset Structure

- **Original split:** 30 manually curated beverages.  
- **Augmented split:** 300 rows, generated with Gaussian jitter (for continuous features) and ±1 step encoding (for ordinal features).  

**Features:**  
- `Beverage type` (string)  
- `Added sugar (g)` (float)  
- `Calories` (float)  
- `Volume (mL)` (integer)  
- `Energy rating (1–5)` (ordinal)  
- `is_high_sugar` (binary target: `1 = sugar ≥ 20g`, `0 = sugar < 20g`)  

---

## Dataset Creation

**Curation Rationale**  
To study how nutritional features (sugar, calories, volume) can relate to **sugar content classification** (high vs low).  

**Data Collection and Processing**  
- Data manually collected from: Starbucks, ALDI USA, MarketDistrict, Amazon, Walmart product pages.  
- Manual preprocessing and type formatting were applied (e.g., ensuring numeric columns, clipping noise to avoid negative values).  
- Binary target `is_high_sugar` was derived using a threshold of **20g sugar**.  

**Source Data Producers**  
- Original producers: beverage manufacturers and retailers (nutritional info posted publicly).  
- Dataset curated by Bareethul Kader for educational purposes.  

---

## Annotations

- **Annotation Process:** Binary target derived from numeric sugar values.  
- **Annotators:** Dataset creator.  

---

## Personal and Sensitive Information

- No personal or sensitive data included.  

---

## Bias, Risks, and Limitations

- Limited to 30 beverages (not representative of all products).  
- `Energy rating` and `is_high_sugar` are simplified labels, not standardized nutrition metrics.  
- Augmentation may create unrealistic numeric combinations.  

---

## Recommendations

Users should be aware of the risks, biases, and limitations of the dataset.  
It is intended only for **educational demonstrations** of dataset creation, preprocessing, and augmentation.  
Do not generalize results to real nutrition/health applications.  

---

## Citation

**BibTeX:**  
```bibtex
@dataset{bareethul_beverage_energy_tracker,
  author       = {Kader, Bareethul},
  title        = {Beverage Energy Tracker},
  year         = {2025},
  publisher    = {Hugging Face Datasets},
  url          = {https://huggingface.co/datasets/bareethul/beverage-energy-tracker}
}