Bioethical debates increasingly unfold on social media, yet stance detection research lacks large-scale, domain-specific resources for modeling such context-dependent discourse. We present BioStance, a context-aware dataset of 39,600 annotated Post-Comment pairs from Reddit bioethical discussions. BioStance covers six controversial targets across three dimensions of bioethical controversy: fundamental value conflicts, individual liberty versus collective responsibility, and technological uncertainty. Each instance preserves hierarchical conversational context and is labeled by three independent annotators using a three-class stance scheme: Favor, Against, and None. The annotations achieve a mean Krippendorff's $α$ of 0.82, indicating substantial reliability. By combining thematic diversity, conversational structure, and high-quality human annotation, BioStance supports research on context-aware stance detection, argument mining, and computational analysis of bioethical discourse.

翻译：生物伦理辩论日益在社交媒体上展开，然而立场检测研究缺乏大规模、特定领域的资源来建模此类依赖上下文的论述。我们提出了BioStance，一个包含来自Reddit生物伦理讨论的39,600个标注帖子-评论对的上下文感知数据集。BioStance覆盖了生物伦理争议三个维度下的六个争议性目标：基本价值冲突、个体自由与集体责任，以及技术不确定性。每个实例保留了层级对话上下文，并由三位独立标注员使用三分类立场方案进行标注：支持、反对和无立场。标注结果的平均Krippendorff's α值为0.82，表明具有较高的可靠性。通过结合主题多样性、对话结构和高质量人工标注，BioStance支持上下文感知的立场检测、论证挖掘以及生物伦理论述的计算分析研究。