Jianshu001/arabic-daily-batch01-cascade-100-rewriter

该数据集包含100条记录，这些记录使用了Gemma-as-rewriter清理架构进行级联重写。方法包括将Gemma作为重写器，通过隔离回声、清理指令等步骤来优化数据。质量指标显示失败率为0%，无AI自我引用文本，整体思维泄漏率为3.3%。级联统计显示，首次问题分布为问题1（用户助手式问候）4条，问题2（助手AI自我引用）31条，问题3（用户奉承/总结）65条。数据模式包括用户消息字段（turn, role, text）和助手消息字段（turn, role, thinking, text）。100 records cascade-rewritten with the Gemma-as-rewriter cleanup architecture. The approach involves using Gemma as a rewriter to isolate echoes and apply cleanup instructions. Quality metrics show a 0% failure rate, 0.0% text with I am an AI self-reference, and 3.3% overall thinking leak. Cascade stats indicate 4 records with issue1, 31 with issue2, and 65 with issue3. The schema includes user message fields (turn, role, text) and assistant message fields (turn, role, thinking, text).