LongCounsel-8：基于多会话咨询对话的纵向抑郁跟踪基准套件
LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues
- National University of Singapore（新加坡国立大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
LongCounsel-8是含7749条五会话咨询轨迹的基准套件，用于解决纵向抑郁跟踪数据稀缺问题，实验揭示现有方法在恶化轨迹上可靠性低等发现，推动抑郁评估向纵向跟踪发展。
AI中文摘要：
从多会话咨询对话中跟踪抑郁，需要同时评估当前症状严重程度及其跨会话的变化情况。然而，该任务的研究进展受限于带有标准化会话级抑郁标签的纵向咨询数据的稀缺性。现有资源通常要么提供无抑郁标签的多会话对话，要么提供单会话的带标签访谈。构建此类基准面临三项挑战：保持纵向一致性与多样性、将症状进展基于经验模式、自然表达受控的抑郁状态且不暴露目标标签。为应对这些挑战，我们推出LongCounsel-8，这一基准套件包含三个独立生成的数据集，总计7749条五会话咨询轨迹，其基于真实世界的来访者档案、抑郁轨迹、症状构成及咨询模式。我们结合基于档案的模拟、基于经验的状态构建以及间接行为实现来解决上述挑战。在整个基准中，模拟的自我报告能紧密复现受控状态，支持标签保真度。对现有抑郁跟踪方法的实验揭示了三项关键发现：（1）较低的单会话得分误差并不能保证趋势（即改善或恶化）识别准确；（2）现有方法在恶化轨迹上的可靠性始终较低；（3）额外的会话历史可能会降低趋势预测的准确性。这些发现共同表明，LongCounsel-8是推动抑郁评估从静态单会话预测转向可靠的心理健康变化纵向跟踪的基础。
英文摘要：
Tracking depression from multi-session counseling dialogues requires estimating both current symptom severity and how it changes across sessions. Yet progress on this task is constrained by the scarcity of longitudinal counseling data with standardized session-level depression labels. Existing resources typically provide either multi-session conversations without depression labels or labeled interviews in a single session. Building such a benchmark poses three challenges: maintaining longitudinal consistency and diversity, grounding symptom progression in empirical patterns, and expressing controlled depression states naturally without exposing target labels. To address these challenges, we introduce LongCounsel-8, a benchmark suite of three independently generated datasets totaling 7,749 five-session counseling trajectories, grounded in real-world client profiles, depression trajectories, symptom compositions, and counseling patterns. We combine profile-grounded simulation, empirically informed state construction, and indirect behavioral realization to address these challenges. Across the benchmark, simulated self-reports closely recover the controlled states, supporting label fidelity. Experiments on existing depression tracking methods reveal three key findings: (1) lower single-session score error does not guarantee accurate identification of trend, i.e., improvement or worsening; (2) existing methods are consistently less reliable on worsening trajectories; and (3) additional session history may reduce the accuracy of trend prediction. Together, these findings establish LongCounsel-8 as a foundation for advancing depression assessment from static, single-session prediction toward reliable longitudinal tracking of mental-health change.
