hugging-science/AI4FA-Diabimmune

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），这些数据是在多个时间点纵向收集的。数据集的结构按数据类型和时间点组织，包括DNA嵌入、微生物组嵌入和DNA序列。每个时间点包含每个受试者的多个样本。文件名称（例如SRS1719092.csv）作为样本ID。受试者ID和映射是隐式的，用户必须小心管理。数据集是纵向的，样本在多个月份（1, 2, 3, 6, 12, 24, 36）收集。多模态：嵌入和序列分别提供；用户可以根据需要组合它们。每个文件没有嵌入标签。标签必须单独处理或从内部记录中映射。该数据集以研究为重点，不适合基准测试。

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. The dataset is organized by data type and timepoint, including DNA embeddings, microbiome embeddings, and DNA sequences. Each timepoint contains multiple samples per subject. File names (e.g., SRS1719092.csv) serve as sample IDs. Subject IDs and mappings are implicit; users must manage them carefully. The dataset is longitudinal: samples are collected at multiple months (1, 2, 3, 6, 12, 24, 36). Multi-modal: embeddings and sequences are provided separately; users may combine them as needed. No labels are embedded per file. Labels must be handled separately or mapped from your internal records. This dataset is research-focused, not benchmark-ready.