131 lines
7.9 KiB
JSON
131 lines
7.9 KiB
JSON
{
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"memory:memory/2026-05-07.md:57:74": {
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"key": "memory:memory/2026-05-07.md:57:74",
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"path": "memory/2026-05-07.md",
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"source": "memory",
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"snippet": "3. **第三轮（用户要求重新发送三份文件后重算）：** 最终确认 **表1有但表2表3都没有 = 255个** - **第三轮详细统计：** - 三表共有：230 - 表1 ∩ 表2：492 - 表1 ∩ 表3：448 - 表2 ∩ 表3：427 - 表1有，表2没有：472（其中217个表3也有） - 最终：255个 - **关键发现：** - 表1（分类词表）覆盖了大量基础生活词汇，表3（L1词表）覆盖了其中的448个 - 最终的255个独有词主要集中在：抽象名词（advantage, attitude, courage）、学术/学科词汇（composition, grammar, pronunciation）、专业/特定领域词（cancer, clone, industry）等偏中高难度的词汇 - 表1和表3有大量重叠（448个），说明两个L1级别的词表覆盖范围高度一致 - 从上一轮260变成255（差5个），差异主要来自表2/表3重新解析后个别单词的增删 - **输出文件：** `/root/.openclaw/workspace-xiaoyan/output/单词对比结果_最终版.xlsx` - Sheet 1：255个单词完整清单（序号+单词+中文释义） - Sheet 2：全部统计指标汇总 - **用户 user_id：** `58fd6864`（租户级） - **发送消息时踩坑记录：** ou_xxx 是 open_id 非 user_id，Bot 缺少 contact:user.id:readonly 权限",
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"2026-05-07"
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],
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"conceptTags": [
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"学术/学科词汇",
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"专业/特定领域词",
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"差异主要来自表2/表3重新解析后个别单词的增删",
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"user-id",
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"ou-xxx",
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"open-id",
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"user.id",
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"第三"
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"memory:memory/2026-05-07.md:215:235": {
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"key": "memory:memory/2026-05-07.md:215:235",
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"path": "memory/2026-05-07.md",
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"startLine": 215,
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"endLine": 235,
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"source": "memory",
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"snippet": "3. He is (4) Japan. → from（男孩穿和服，背景富士山） 4. She is a (7). → student（女孩背书包进校门） - **JSON 结构：** questionSetID=020102, category=writing, type=writing_pic_qa - **关键教训：** - 初版设计错误：让学手写 Anna/China 等非知识点词，被用户纠正 - 初版 questionDesc \"She is a (7) girl.\" 不自然，修正为 \"She is a (7).\" - writing_pic_qa 题型核心考察点：知识点词本身（am/from），而非题干已知信息 - 挖空字母数标记（如(4)）必须与答案单词字母数一致 - **词库缺口发现：** L1和L2词库均缺失人称代词(I/you/he/she)、be动词(am/is/are)、介词(from)、国家名等基础功能词，写题时先绕过词汇校验硬性约束 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 单元挑战新增3个题型（已完结） - 详见上文 11:19-11:28 记录 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 写作看图回答题 \"I am ready / Thank you\" 样题生产 - **时间：** 15:53 ~ 15:55 - **需求：** 使用知识点 \"I am ready! / Thank you for...\" 再生产一套",
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"recallCount": 1,
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"390d35f8d143"
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],
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"conceptTags": [
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"writing-pic-qa",
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"anna/china",
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"am/from",
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"i/you/he/she",
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"am/is/are",
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"19-11",
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"japan",
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"男孩"
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]
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},
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"memory:memory/2026-05-07.md:199:219": {
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"key": "memory:memory/2026-05-07.md:199:219",
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"path": "memory/2026-05-07.md",
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"startLine": 199,
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"source": "memory",
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"snippet": "### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 写作看图回答题 \"I am... / I am from...\" 样题生产 - **时间：** 15:38 ~ 15:52 - **需求：** 使用知识点 \"I am... / I am from...\" 生产一套写作看图回答题（writing_pic_qa） - **状态：** ✅ 已完成，用户确认 - **题型级别：** L2（因L1词库缺少所有代词/be动词/介词/国家名） - **难度：** A级 - **题量：** 4小题 - **核心原则（用户明确）：** 1. 挖空必须是考察知识点本身的单词（am/from/student），不是手写姓名/国名等附带信息 2. 只能为1个单词挖空，不能两个及以上 3. 正确模式示例：`I (2) Anna.` → 挖空am，数字标记字母数 4. 图片提供语境线索（名牌→am，地标→from国家，书包→student），学生填写核心知识点词 - **输出文件：** `output/writing_pic_qa_I_am_from_020102.json` - **题目清单：** 1. I (2) Anna. → am（女孩指着名牌，图片语境提示姓名已给出） 2. I am (4) China. → from（女孩站在长城前，国家名已给出） 3. He is (4) Japan. → from（男孩穿和服，背景富士山） 4. She is a (7). → student（女孩背书包进校门） - **JSON",
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"recallCount": 1,
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"totalScore": 1,
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"firstRecalledAt": "2026-05-08T01:18:18.412Z",
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"queryHashes": [
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],
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"recallDays": [
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"2026-05-08"
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],
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"conceptTags": [
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"writing-pic-qa",
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"因l1词库缺少所有代词/be动词/介词/国家名",
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"am/from/student",
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"不是手写姓名/国名等附带信息",
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"彦江",
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"写作",
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"回答",
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"生产"
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]
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},
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"memory:memory/2026-05-07.md:1:20": {
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"key": "memory:memory/2026-05-07.md:1:20",
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"path": "memory/2026-05-07.md",
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"startLine": 1,
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"endLine": 20,
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"source": "memory",
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"snippet": "# 2026-05-07 工作日志 ## 会话记录 ### 刘彦江 (ou_5af74c1fb96042e33cc0f16b5ca02cf4) — 单元挑战新增3个题型 - **时间：** 11:19 ~ 11:28 - **需求：** 单元挑战新增3个题型：阅读看图回答题（reading_pic_qa）、阅读看图判断题（reading_pic_judge）、写作看图回答题（writing_pic_qa） - **状态：** ✅ 已完成题型规范落地 - **交付内容：** 1. 创建3个题型SKILL.md： - `reading/common/reading_pic_qa/SKILL.md` — 阅读看图回答题（共享大图+多题Yes/No判断） - `reading/common/reading_pic_judge/SKILL.md` — 阅读看图判断题（每题独立配图+Yes/No判断） - `writing/common/writing_pic_qa/SKILL.md` — 写作看图回答题（看图+提示答案开头+填空） 2. 更新 `MEMORY.md` 全题型阶段归属规则 3. 明确题型JSON结构、难度等级（A/B/C/D四级）、能力标签、校验规则 - **关键决策：** 3个题型均为 L1&L2 共用，通过难度参数区分阶段；reading_pic_qa 共享大图，reading_pic_judge 每题独立配图 ### 李应瑛 (ou_1bd7317ae2ccfeb57e1132028847279e) — 单词表对比请求",
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"conceptTags": [
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"reading-pic-qa",
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"reading-pic-judge",
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"writing-pic-qa",
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"创建3个题型skill.md",
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"多题yes/no判断",
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"yes/no判断",
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"memory.md",
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"a/b/c/d四级"
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]
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}
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}
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}
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