liqiang
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973 B
973 B
合成数据人工抽查记录
本轮扩容后，在生成数据门禁通过的基础上，按 16 个 kind、10 个文章体裁和 9 个代码语言分层抽查了 train、eval、boundary 三个 split 的首条样本（共 48 条）。抽查重点是：
- 中文自然语言直引号是否确实改成
“”/‘’； - 英文原文、JSON、路径、标识符和字符串字面量是否逐字保留；
- Python、JavaScript、Java、Go、Rust、SQL、Shell、YAML 的注释语法是否正确，代码行是否发生非目标变化；
- 体裁标签、语言标签和案例编号是否与 prompt/target 一致。
抽查结论：48/48 条样本的标注意图清晰，未发现模板变量残留、代码围栏缺失或非注释代码行漂移；机器门禁结果保存在 quality_audit.json。该抽查是合成数据质量证据，不等价于真实用户反馈覆盖，后续仍需扩大语言版本和人工复核比例。