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# 特殊字符串合成数据人工抽查记录
本轮扩容后按 `tool_json``decoy_copy``verbatim` 三类任务、10 种语言上下文和 8 种文章体裁分层抽查 train/eval/boundary 的样本(每类每 split 至少 4 条,共 36 条)。逐条检查:
1. `source` 与直接复述任务的 `target` 是否完全一致;
2. `tool_json` 的 JSON 是否可解析,且 `old_string` 是否与 `source` 完全相同;
3. 空格、换行、字面量 `\\n`/`\\t`、Unicode `é`、组合字符、中文和零宽字符是否按原样保存;
4. decoy 是否与 TARGET 等长但内容不同,避免模型靠长度捷径作答。
抽查未发现目标字符串漂移、JSON 结构错误或 decoy 标记歧义。全量确定性断言见 `tests/`,跨 tokenizer 的 encode→decode 结果见 [`tokenizer_audit.json`](tokenizer_audit.json)。