hugging-science/gut-microbiome-allergy-data

该存储库包含多个经过整理的人类肠道微生物组数据集，用于预测食物过敏的发展。每个数据集对应一个不同的队列，具有纵向微生物组采样，提供适合机器学习的元数据和派生嵌入。数据集旨在支持将受试者分为健康与过敏类别的二元分类，从而研究食物过敏的早期微生物预测因子。数据集结构包括数据实例、目录布局、元数据和经过处理的数据。元数据目录包含每个队列的规范真实表，而处理后的数据目录包含从上游生物输入生成的派生、可重复的工件。

This repository contains multiple human gut microbiome datasets curated for predicting food allergy development. Each dataset corresponds to a distinct cohort with longitudinal microbiome sampling, providing both metadata and derived embeddings suitable for machine learning. The datasets are designed to support binary classification of subjects into healthy vs allergic categories, enabling research into early microbial predictors of food allergy. The dataset structure includes data instances, directory layout, metadata, and processed data. The metadata directory contains the canonical ground-truth tables for each cohort, while the processed data directory contains derived, reproducible artifacts generated from upstream biological inputs.