hugging-science/AI4FA-Gadir

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。用户需要自行定义训练/测试分割，并注意在主题级别进行分割以避免数据泄漏。数据集是纵向和多模态的，但仅供研究使用，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. Users are expected to define their own train/test splits and must split at the subject level to avoid data leakage. The dataset is longitudinal and multi-modal, but it is research-focused and not benchmark-ready.