Datasets:
Dataset Viewer
Beverage type
string | Category
string | Added sugar (g)
float64 | Calories
float64 | Volume
string | Energy rating (1-5)
int64 | Is high sugar?
int64 |
|---|---|---|---|---|---|---|
Starbucks Iced Caffe Latte (unsweetened, milk only)
|
Coffee
| 0
| 130
|
355 mL
| 5
| 0
|
Starbucks Caramel Frappuccino (Tall, with whip)
|
Coffee
| 30
| 260
|
355 mL
| 5
| 1
|
Starbucks Pumpkin Spice Latte (Tall, with whip)
|
Coffee
| 25
| 340
|
355 mL
| 4
| 1
|
Starbucks Chai Tea Latte (Tall)
|
Tea
| 23
| 190
|
355 mL
| 4
| 1
|
Starbucks Caffè Mocha (Tall, with whip)
|
Coffee
| 15
| 290
|
355 mL
| 4
| 0
|
Starbucks Caramel Macchiato (Tall)
|
Coffee
| 13
| 190
|
355 mL
| 4
| 0
|
Starbucks Matcha Green Tea Latte (Tall)
|
Tea
| 10
| 170
|
355 mL
| 5
| 0
|
Pepsi (regular)
|
Soft drink
| 34
| 130
|
300 mL
| 3
| 1
|
Diet Pepsi
|
Soft drink
| 0
| 0
|
300 mL
| 1
| 0
|
Coca Cola Classic
|
Soft drink
| 33
| 120
|
300 mL
| 3
| 1
|
Diet Coke
|
Soft drink
| 0
| 0
|
300 mL
| 2
| 0
|
Mountain Dew
|
Soft drink
| 39
| 140
|
300 mL
| 2
| 1
|
Diet Mountain Dew
|
Soft drink
| 0
| 0
|
300 mL
| 1
| 0
|
Sprite (Lemon lime)
|
Soft drink
| 34
| 130
|
300 mL
| 1
| 1
|
Sprite Zero
|
Soft drink
| 0
| 0
|
300 mL
| 1
| 0
|
Dr Pepper
|
Soft drink
| 34
| 130
|
300 mL
| 1
| 1
|
Gatorade Thirst Quencher (Lemon Lime)
|
Sport drink
| 19
| 70
|
300 mL
| 1
| 1
|
Gatorade Zero (no sugar electrolyte drink)
|
Sport drink
| 0
| 1
|
300 mL
| 2
| 0
|
Powerade (Fruit Punch)
|
Sport drink
| 19
| 75
|
300 mL
| 1
| 1
|
Powerade Zero
|
Sport drink
| 0
| 0
|
300 mL
| 2
| 0
|
Red Bull (original)
|
Energy drink
| 32
| 130
|
300 mL
| 4
| 1
|
Red Bull Sugarfree
|
Energy drink
| 0
| 10
|
300 mL
| 3
| 0
|
Monster Energy (original)
|
Energy drink
| 34
| 150
|
300 mL
| 2
| 1
|
Monster Zero Ultra (zero sugar)
|
Energy drink
| 0
| 0
|
300 mL
| 3
| 0
|
Snapple Lemon Iced Tea
|
Tea
| 23
| 95
|
300 mL
| 2
| 1
|
Snapple Zero Sugar Iced Tea
|
Tea
| 0
| 10
|
300 mL
| 5
| 0
|
Vitaminwater (Power C Dragonfruit)
|
Sport drink
| 14
| 50
|
300 mL
| 1
| 0
|
Vitaminwater Zero
|
Sport drink
| 0
| 0
|
300 mL
| 2
| 0
|
Arizona Green Tea w/ Ginseng & Honey
|
Tea
| 21
| 90
|
300 mL
| 2
| 1
|
Minute Maid Lemonade
|
Soft drink
| 34
| 130
|
300 mL
| 4
| 1
|
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
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_sugarwas 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 ratingandis_high_sugarare 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:
@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}
}
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