---
language: en
pretty_name: Foods Nutrition Dataset
tags:
  - nutrition
  - food
  - health
  - diet
  - dataset
  - machine-learning
  - classification
  - regression
  - table-to-text
  - huggingface-datasets
viewer: true
license: cc-by-4.0
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification
  - tabular-regression
  - table-to-text
modalities:
  - tabular
formats:
  - csv
libraries:
  - pandas
  - datasets
  
---

# Foods Nutrition Dataset

A curated dataset of **1,028 food items** with detailed nutritional information. Lightweight and easy to use for machine learning, health analytics and educational projects.

## Dataset Details

| Feature            | Description                                   |
|--------------------|-----------------------------------------------|
| **Items**          | 1,028 rows of common food items               |
| **Columns**        | Energy kcal, Carbs, Protein, Fat, Free sugar, Fiber, Cholesterol, Calcium |
| **Split**          | Single *train* split                          |

## Overview

This dataset offers a structured and small-scale foundation for nutrition-based ML tasks. Ideal for prototyping ML pipelines, classification, regression or text generation tasks.

## Key Use Cases

- Calorie Prediction – Train regression models to estimate food energy from macronutrients.

- Personalized Nutrition – Power recommendation systems for fitness, wellness or diet-tracking applications.

- Dietary Pattern Analysis – Apply clustering or classification to uncover eating trends and nutritional gaps.

- AI-Powered Health Assistants – Fine-tune LLMs or chatbots with structured nutrition data for diet advice and meal planning.

## Citation

```
@dataset{foods_nutrition_dataset,
  author = {Adarsh Zolekar},
  title = {Foods Nutrition Dataset},
  year = {2025},
  url = {https://huggingface.co/datasets/adarshzolekar/foods-nutrition-dataset}
}
```
---