Global Food Nutrition Dataset With NutriScore

This dataset contains structured nutrition and metadata for 100 packaged food products collected from the Open Food Facts public API. It includes detailed nutritional values, NutriScore health ratings, ingredient counts, additive information, and dietary classifications such as vegan and vegetarian status.

The dataset is designed for machine learning, data analysis, and nutrition research. It can be used for classification, regression, clustering, and health score prediction tasks.

This dataset has been cleaned, filtered, and formatted into a machine-learning-ready CSV format.

This dataset was created to support:

Machine learning model development

Nutrition analysis and health prediction

Food classification tasks

Educational and research purposes

Data science practice and portfolio projects

Example ML tasks:

Predict NutriScore from nutrition values

Classify vegan vs non-vegan foods

Predict calorie content

Cluster foods based on nutritional composition