hugging-science/AI4FA-Tanaka

这是一个实验性的微生物组数据集，旨在用于食物过敏分类的探索性研究。数据集包含多种数据模态（DNA嵌入、微生物组嵌入、原始DNA序列），并在多个时间点（1、2、3、6、12、24、36个月）进行纵向收集。数据集结构按数据类型和时间点组织，包括DNA嵌入（.h5文件）、微生物组嵌入（.h5文件）和DNA序列（.csv文件）。每个时间点包含每个受试者的多个样本，文件名作为样本ID。数据集的使用目的是用于食物过敏分类的探索性研究，用户需要自行定义训练/测试分割，并注意在受试者级别进行分割以避免数据泄漏。数据集是纵向的、多模态的，但不包含标签，需要用户自行处理或从内部记录中映射。

This is an experimental microbiome dataset designed for exploratory research in food allergy classification. The dataset contains multiple data modalities (DNA embeddings, microbiome embeddings, raw DNA sequences) collected longitudinally at several timepoints (1, 2, 3, 6, 12, 24, 36 months). The dataset is organized by data type and timepoint, including DNA embeddings (.h5 files), microbiome embeddings (.h5 files), and DNA sequences (.csv files). Each timepoint contains multiple samples per subject, with file names serving as sample IDs. The intended use is for exploratory classification of food allergies, where users are expected to define their own train/test splits and ensure splits are done at the subject level to avoid data leakage. The dataset is longitudinal, multi-modal, but does not include labels, which must be handled separately or mapped from internal records.