feat: table、equation质检prompt#377
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This pull request introduces two new LLM-based text quality assessment models: LLMTextEquation for evaluating mathematical formulas and LLMTextTable for evaluating HTML tables. The review feedback highlights that the metric_name and description metadata are currently too generic and should be specialized for each class to improve documentation. Furthermore, there are suggestions to maintain case consistency for the 'none' error type in the prompts and to correct a copy-paste error in the table quality prompt where 'equation' was incorrectly referenced instead of 'table'.
| "metric_name": "LLMTextQualityV5", | ||
| "description": "Impact-driven text quality evaluation for LLM pretraining, focusing on structural completeness, readability, diversity, and safety with quantitative thresholds", |
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metric_name 和 description 过于通用，未能体现该类是专门针对“公式（Equation）”质检的。建议将其更新为更具描述性的内容，例如 metric_name 改为 LLMTextEquation，并更新 description 以涵盖公式语法、识别和语义等维度，以便于文档生成和识别。
| Return JSON only: {"score": 0/1, "type": "", "name": "", "reason": ""} | ||
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| score 类型必须为int； | ||
| score 为 1 表示通过，type 填 "Good"，name 填 "None"，reason 说明公式正常的依据； |
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建议将 name 的填充值 "None" 改为 "none"，以与第 55 行定义的二级错误类型 none 保持大小写一致，避免模型输出不一致。
| score 为 1 表示通过，type 填 "Good"，name 填 "None"，reason 说明公式正常的依据； | |
| score 为 1 表示通过，type 填 "Good"，name 填 "none"，reason 说明公式正常的依据； |
| "metric_name": "LLMTextQualityV5", | ||
| "description": "Impact-driven text quality evaluation for LLM pretraining, focusing on structural completeness, readability, diversity, and safety with quantitative thresholds", |
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metric_name 和 description 描述过于通用，建议更新为针对“表格（Table）”质检的描述，以便于文档生成和区分不同的质检维度。
| Return JSON only: {"score": 0/1, "type": "", "name": "", "reason": ""} | ||
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| score 类型必须为int； | ||
| score 为 1 表示通过，type 填 "Good"，name 填 "None"，reason 说明公式正常的依据； |
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此处提示词存在拷贝错误，“公式”应改为“表格”。同时，建议将 name 的填充值 "None" 改为 "none"，以与第 57 行定义的二级错误类型保持一致。
| score 为 1 表示通过，type 填 "Good"，name 填 "None"，reason 说明公式正常的依据； | |
| score 为 1 表示通过，type 填 "Good"，name 填 "none"，reason 说明表格正常的依据； |
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