ClarusC64/clinical-hormonal-feedback-instability-v0.1

该数据集用于评估模型是否能检测内分泌反馈调节中的不稳定性。每个数据行代表一个简化的激素调节场景，观察三个时间点。任务目标是判断内分泌调节是否保持稳定或趋向于激素反馈不稳定性。数据集包含激素水平轨迹、受体敏感性代理轨迹、代谢反应代理轨迹、葡萄糖轨迹、系统应激信号和干预延迟等特征。预测目标为1表示内分泌反馈不稳定性，0表示稳定的激素调节。数据集属于Clarus稳定性推理基准的一部分。

This dataset evaluates whether models can detect instability in endocrine feedback regulation. Each row represents a simplified hormonal regulation scenario observed across three time points. The task is to determine whether endocrine regulation remains stable or is moving toward hormonal feedback instability. The dataset includes features such as hormone level trajectory, receptor sensitivity proxy trajectory, metabolic response proxy trajectory, glucose trajectory, systemic stress signals, and intervention delay. The prediction target is label = 1 for endocrine feedback instability and label = 0 for stable hormonal regulation. This dataset is part of the Clarus Stability Reasoning Benchmark.