ClarusC64/clinical-immune-dysregulation-cascade-v0.1

该数据集用于评估模型是否能在明显的系统性恶化之前检测到免疫失调。每个数据行代表三个时间点的短期炎症轨迹，任务是分类免疫反应是否保持调节或趋向炎症级联不稳定。数据集测试了多个轨迹和代理变量的交互作用，包括CRP轨迹、IL-6代理轨迹、温度轨迹、WBC轨迹、免疫调节代理、器官应激代理和治疗延迟。此外，还包含了一些干扰变量。数据集是Clarus稳定性推理基准的一部分，支持免疫失调检测、炎症级联动力学等研究。

This dataset evaluates whether models can detect immune dysregulation before overt systemic deterioration. Each row represents a short inflammatory trajectory across three time points. The task is to classify whether the immune response remains regulated or is moving toward inflammatory cascade instability. The dataset tests interaction reasoning across CRP trajectory, IL-6 proxy trajectory, temperature trajectory, WBC trajectory, immune regulation proxy, organ stress proxy, and treatment delay. It also includes decoy variables. The dataset is part of the Clarus Stability Reasoning Benchmark and supports research into immune dysregulation detection, inflammatory cascade dynamics, and more.