构建了用于自闭症干预教学生成与行为分析的合成数据集，解决真实数据难获取问题。
TRACE: A taxonomy-grounded synthetic dataset for teaching-program generation and session interpretation in Applied Behavior Analysis
- 基于临床规范的分类体系，自动生成2999条教学与行为记录
- 覆盖12种行为轨迹和13种目标行为，支持多轮干预分析
- 适合研究行为分析自动化、临床辅助工具开发的研究者
应用行为分析（ABA）的文档、教学方案及多会话行为日志具有固定格式且数量庞大，但真实会话数据受HIPAA保护且受专业保密规则限制，难以公开用于训练。本文提出TRACE（分类参考的ABA临床示例），一个包含2,999条示例的合成指令微调数据集，涵盖两类任务：在离散试次训练、自然环境教学和任务分析中生成教学程序；以及对十二种行为轨迹模式和十三种目标行为进行多会话行为解读。每个示例均由基于经典ABA文献的确定性分类驱动生成器产生，并携带完整采样溯源信息，明确标注其生成所依据的分类单元。数据集按比例划分为训练集（2,549）、验证集（149）、测试集（281）和检验集（20）。该数据集为研究工具，尚未经过临床验证。
原文摘要 · Abstract (English)
Applied Behavior Analysis (ABA) is a clinical discipline whose documentation, teaching programs and multi-session behavioral logs, is formulaic and high-volume, yet real session data is HIPAA-protected and bound by professional confidentiality rules, blocking the release of a training corpus. We present TRACE (Taxonomy-Referenced ABA Clinical Examples), a 2,999-example synthetic instruction-tuning dataset covering two ABA tasks: teaching-program generation across Discrete Trial Training, Natural Environment Teaching, and Task Analysis; and multi-session behavioral interpretation across twelve trajectory patterns and thirteen target behaviors. Every example is produced by a deterministic taxonomy-driven generator grounded in the canonical ABA literature, and every example carries complete sampling provenance, the exact taxonomy cells that produced it. The dataset is released under CC BY-NC 4.0 for data and MIT for code, with stratified train (2,549), validation (149), test (281), and sanity (20) splits. TRACE is a research artifact and has not been clinically validated.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。