WCY Reasoning Traces v1.0 — Void-B Resolution Cycles for AI Epistemic Training

Training dataset and reference implementation for WCY (Watch → Compute → Yield), a token-native reasoning format for AI systems. Contains 540 high-quality WCY reasoning traces across 8 domains (medical, code, mathematical, legal, strategic, philosophical, scientific, engineering), generated via a quality-controlled pipeline with three gates: parse_rate ≥ 0.70, void_generated ≥ 1, resolution_rate ≥ 0.50. Files:- wcy_traces_v1_clean.jsonl: 528 pipeline-generated traces (480/480 new traces usable, 100%), avg resolution rate 95.8%- wcy_void_cycles.jsonl: 6 hand-crafted void-B resolution cycle traces- wcy_reasoning_traces.jsonl: 6 domain reasoning traces- wcy_parser.py: Reference parser v1.1 (Python)- wcy_eval.py: Three-axis evaluation framework (Structural / Meaning / Provenance)- README.md, DATASET.md: Documentation The core contribution is the void-B (?) resolution cycle: mark unknown → investigate → observe → resolve. This cycle is the structural minimum for directed epistemic self-awareness in machine learning systems. Version history:- v1.0 (2026-03-17): 60 traces (48 pipeline + 12 hand-crafted)- v1.1 (2026-03-18): 540 traces (528 pipeline + 12 hand-crafted)WCY（Watch → Compute → Yield）是一种面向Token原生的AI系统推理格式，本数据集为其提供训练数据集与参考实现。 本数据集涵盖医疗、代码、数学、法律、战略、哲学、科学、工程共8个领域的540条高质量WCY推理轨迹，所有轨迹通过包含三道质检关卡的可控流水线生成，质检标准为：parse_rate ≥ 0.70、void_generated ≥ 1、resolution_rate ≥ 0.50。 所包含文件如下： - wcy_traces_v1_clean.jsonl：包含528条流水线生成的推理轨迹，其中可用轨迹为480条（均为新增轨迹，占比100%），平均分辨率达95.8% - wcy_void_cycles.jsonl：6条手工构建的void-B型解析循环推理轨迹 - wcy_reasoning_traces.jsonl：6条跨领域推理轨迹 - wcy_parser.py：参考解析器v1.1（基于Python实现） - wcy_eval.py：三轴评估框架（结构/语义/溯源） - README.md、DATASET.md：数据集说明文档 本数据集的核心贡献在于void-B型（？）解析循环：标记未知→调研探查→观测验证→问题解决。该循环是机器学习系统中实现定向认知自我意识的结构最小单元。 版本更新记录： - v1.0（2026-03-17）：共计60条推理轨迹，其中48条为流水线生成、12条为手工构建 - v1.1（2026-03-18）：共计540条推理轨迹，其中528条为流水线生成、12条为手工构建