ULM-DS-Lab/

food-composition-matrix

This repository contains two food composition datasets reformatted as wide-format nutrient matrices, suitable for a wide range of research tasks including nutrient prediction, food type classification, missing value imputation, dietary analysis, and other machine learning applications on food data. Both datasets share a harmonised set of 18 common nutrients, enabling cross-dataset generalization experiments.… See the full description on the dataset page: https://huggingface.co/datasets/ULM-DS-Lab/food-composition-matrix.