{"status": "success", "index": 3, "source_record_id": "recheck.jsonl:601", "source_line": 330, "audio": "audio/passthrough__recheckjsonl601.wav", "scene": "passthrough", "language": "zh", "oral": "帮我把明早 8:30 的闹钟改成 7:15，顺便提醒我带上充电宝。", "clean": "帮我把明早 8:30 的闹钟改成 7:15，顺便提醒我带上充电宝。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“明早”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明早"}, {"id": "q002", "category": "content", "question": "output中是否存在“闹钟”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "闹钟"}, {"id": "q003", "category": "content", "question": "output中是否存在“改成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "改成"}, {"id": "q004", "category": "content", "question": "output中是否存在“提醒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "提醒"}, {"id": "q005", "category": "content", "question": "output中是否存在“充电宝”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "充电宝"}, {"id": "q006", "category": "format", "question": "output中是否保留了“8:30”？", "options": [{"text": "保留了“8:30”", "score": 1}, {"text": "没有保留“8:30”，但存在“八点半”", "score": 0}, {"text": "不存在“8:30”或“八点半”", "score": -1}], "evidence": "8:30"}, {"id": "q007", "category": "format", "question": "output中是否保留了“7:15”？", "options": [{"text": "保留了“7:15”", "score": 1}, {"text": "没有保留“7:15”，但存在“七点十五”", "score": 0}, {"text": "不存在“7:15”或“七点十五”", "score": -1}], "evidence": "7:15"}]}
{"status": "success", "index": 2, "source_record_id": "recheck.jsonl:301", "source_line": 172, "audio": "audio/dictation_memo__recheckjsonl301.wav", "scene": "dictation_memo", "language": "en", "oral": "So I was thinking about emailing a publisher about a manuscript tomorrow morning... oh no, tomorrow evening, and I'm emailing you regarding some hashtag ideas for it, so I hope you can help me with that part, do you think that sounds okay?", "clean": "I was thinking about emailing a publisher about a manuscript tomorrow evening, and I'm emailing you regarding some hashtag ideas for it, so I hope you can help me with that part. Do you think that sounds okay?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, oh no"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“tomorrow morning... oh no, tomorrow evening”处理成了“tomorrow evening”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "tomorrow morning... oh no, tomorrow evening -> tomorrow evening"}, {"id": "q003", "category": "content", "question": "output中是否存在“emailing a publisher”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "emailing a publisher"}, {"id": "q004", "category": "content", "question": "output中是否存在“about a manuscript”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "about a manuscript"}, {"id": "q005", "category": "content", "question": "output中是否存在“regarding some hashtag ideas”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "regarding some hashtag ideas"}, {"id": "q006", "category": "content", "question": "output中是否存在“help me with that part”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "help me with that part"}, {"id": "q007", "category": "content", "question": "output中是否存在“Do you think that sounds okay?”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Do you think that sounds okay?"}]}
{"status": "success", "index": 1, "source_record_id": "recheck.jsonl:10", "source_line": 1, "audio": "audio/academic__recheckjsonl10.wav", "scene": "academic", "language": "zh", "oral": "如果咱们把这个 Loss Function 换成 Cross Entropy，啊不对，应该是 Focal Loss 的话，那我们可能在处理这种 class imbalance 样本不平衡问题时，能把那百分之十五，哦不对，百分之二十二点五 的误报率给压下去，这样在那个新，新苑，新苑园区测试得数据表现应该会更稳一些。", "clean": "如果咱们把 Loss Function 换成 Focal Loss 的话，那我们可能在处理这种 class imbalance 样本不平衡问题时，能把 22.5% 的误报率给压下去，这样在新苑园区测试的数据表现应该会更稳一些。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“Cross Entropy，啊不对，应该是 Focal Loss”处理成了“Focal Loss”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Cross Entropy，啊不对，应该是 Focal Loss; clean: Focal Loss"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“百分之十五，哦不对，百分之二十二点五”处理成了“22.5%”或“百分之二十二点五”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十五，哦不对，百分之二十二点五; clean: 22.5%"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之二十二点五”规范化成了“22.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之二十二点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之二十二点五; clean: 22.5%"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 新，新苑，新苑园区; clean: 新苑园区"}, {"id": "q005", "category": "content", "question": "output中是否存在“Loss Function”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Loss Function"}, {"id": "q006", "category": "content", "question": "output中是否存在“class imbalance”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: class imbalance"}, {"id": "q007", "category": "content", "question": "output中是否存在“误报率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 误报率"}, {"id": "q008", "category": "content", "question": "output中是否存在“样本不平衡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 样本不平衡"}]}
{"status": "success", "index": 4, "source_record_id": "recheck.jsonl:701", "source_line": 406, "audio": "audio/vibe_coding__recheckjsonl701.wav", "scene": "vibe_coding", "language": "zh", "oral": "诶，如果咱们能把 Prisma 迁移到 Elixir 里面，嗯，也就是把原先 Astro 里面那两千三百个数据表全部导出来，我想想啊，如果能绕过 ConnectionRefused 这个报错的话，那我们就能直接在一次 epochs 运行完吧。", "clean": "如果咱们能把 Prisma 迁移到 Elixir 里面，也就是把原先 Astro 里面那2300个数据表全部导出来，如果能绕过 ConnectionRefused 这个报错的话，那我们就能直接在一次 epoch 运行完吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将英文专有名词正确拼写为“Prisma”、“Elixir”、“Astro”和“ConnectionRefused”？", "options": [{"text": "拼写完全正确", "score": 1}, {"text": "存在这些词但大小写或拼写有误", "score": 0}, {"text": "不存在这些词", "score": -1}], "evidence": "clean: Prisma, Elixir, Astro, ConnectionRefused"}, {"id": "q002", "category": "format", "question": "output中是否将“两千三百”写成了“2300”？", "options": [{"text": "写成了“2300”", "score": 1}, {"text": "仍写为“两千三百”", "score": 0}, {"text": "不存在该数字", "score": -1}], "evidence": "oral: 两千三百, clean: 2300"}, {"id": "q003", "category": "format", "question": "output中是否将“epochs”写成了单数形式“epoch”？", "options": [{"text": "写成了“epoch”", "score": 1}, {"text": "仍写为“epochs”", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: epochs, clean: epoch"}, {"id": "q004", "category": "content", "question": "output中是否存在“把原先数据表全部导出来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把原先 Astro 里面那2300个数据表全部导出来"}, {"id": "q005", "category": "content", "question": "output中是否存在“如果能绕过”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果能绕过 ConnectionRefused 这个报错的话"}, {"id": "q006", "category": "content", "question": "output中是否存在“直接在一次运行完”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接在一次 epoch 运行完吧"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 嗯, 我想想啊"}]}
{"status": "success", "index": 7, "source_record_id": "recheck.jsonl:201", "source_line": 119, "audio": "audio/daily_chat__recheckjsonl201.wav", "scene": "daily_chat", "language": "zh", "oral": "我感觉现在与其在建国门那边死磕，不如换个环境。最近跟韩嘉悦去逛万象城，发现那边比建国门更热闹。对了，我打算买那个极米投影仪，价格是两千八百块，不对，两千九百块，等等错了，是三千一百块！然后我那个…要是能把…怎么说呢…如果能把周子墨那份方案改完，我就能休息下。感觉现在的压力比之前大多了。", "clean": "我感觉现在与其在建国门那边死磕，不如换个环境。最近跟韩嘉悦去逛万象城，发现那边比建国门更热闹。对了，我打算买极米投影仪，价格是3100元。如果能把周子墨那份方案改完，我就能休息下。感觉现在的压力比之前大多了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“在建国门那边死磕”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我感觉现在与其在建国门那边死磕"}, {"id": "q002", "category": "content", "question": "output中是否保留了“不如换个环境”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 不如换个环境"}, {"id": "q003", "category": "content", "question": "output中是否保留了“跟韩嘉悦去逛万象城”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最近跟韩嘉悦去逛万象城"}, {"id": "q004", "category": "format", "question": "output中是否将“三千一百块”规范化成了“3100元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千一百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 是三千一百块, clean: 价格是3100元"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“两千八百块，不对，两千九百块，等等错了，是三千一百块”处理成了最终结果并去除了纠错过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 价格是两千八百块，不对，两千九百块，等等错了，是三千一百块！, clean: 价格是3100元"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 买那个极米投影仪 / 然后我那个…要是能把…怎么说呢…, clean: 买极米投影仪 / 如果能把"}, {"id": "q007", "category": "content", "question": "output中是否保留了“把周子墨那份方案改完”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果能把周子墨那份方案改完"}, {"id": "q008", "category": "content", "question": "output中是否保留了“我就能休息下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我就能休息下"}, {"id": "q009", "category": "content", "question": "output中是否保留了“现在的压力比之前大多了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 感觉现在的压力比之前大多了"}]}
{"status": "success", "index": 9, "source_record_id": "explanation.jsonl:2001", "source_line": 911, "audio": "audio/explanation__explanationjsonl2001.wav", "scene": "explanation", "language": "zh", "oral": "下午导航去皮都...不对，郫都，郫是郫县豆瓣的郫，都是都市的都，顺便帮我在药店买一盒霍香...不是，藿香正气液，藿是草字头下面一个霍元甲的霍。", "clean": "下午导航去郫都，顺便帮我在药店买一盒藿香正气液。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“皮都...不对，郫都，郫是郫县豆瓣的郫，都是都市的都”处理成了“郫都”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 下午导航去皮都...不对，郫都，郫是郫县豆瓣的郫，都是都市的都; clean: 下午导航去郫都"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“霍香...不是，藿香正气液，藿是草字头下面一个霍元甲的霍”处理成了“藿香正气液”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 顺便帮我在药店买一盒霍香...不是，藿香正气液，藿是草字头下面一个霍元甲的霍。; clean: 顺便帮我在药店买一盒藿香正气液。"}, {"id": "q003", "category": "content", "question": "output中是否存在“下午导航去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下午导航去郫都"}, {"id": "q004", "category": "content", "question": "output中是否存在“顺便帮我在药店买一盒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 顺便帮我在药店买一盒藿香正气液。"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 下午导航去皮都...不对，郫都，郫是郫县豆瓣的郫，都是都市的都，顺便帮我在药店买一盒霍香...不是，藿香正气液，藿是草字头下面一个霍元甲的霍。; clean: 下午导航去郫都，顺便帮我在药店买一盒藿香正气液。"}]}
{"status": "success", "index": 5, "source_record_id": "recheck.jsonl:101", "source_line": 54, "audio": "audio/customer_service__recheckjsonl101.wav", "scene": "customer_service", "language": "en", "oral": "I need to dispute a charge. I need to dispute a charge for two thousand one hundred dollars. Look, the item I received is damaged, damaged and the box was open. The company is Comcast. Transaction number is B L L nine nine two eight four seven one. Order number... order number is hash B nine nine two zero one one. I cannot pay this.", "clean": "I need to dispute a charge for $2,100. The item I received is damaged and the box was open. The company is Comcast. Transaction number is BLL9928471. Order number is #B992011. I cannot pay this.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“item I received is damaged”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: The item I received is damaged; oral: the item I received is damaged"}, {"id": "q002", "category": "content", "question": "output中是否存在“box was open”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: and the box was open; oral: and the box was open"}, {"id": "q003", "category": "content", "question": "output中是否存在“Comcast”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: The company is Comcast; oral: The company is Comcast"}, {"id": "q004", "category": "content", "question": "output中是否存在“cannot pay this”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I cannot pay this; oral: I cannot pay this"}, {"id": "q005", "category": "format", "question": "output中是否将“two thousand one hundred dollars”规范化成了“$2,100”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two thousand one hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: $2,100; oral: two thousand one hundred dollars"}, {"id": "q006", "category": "format", "question": "output中是否将“B L L nine nine two eight four seven one”规范化成了“BLL9928471”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“B L L nine nine two eight four seven one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: BLL9928471; oral: B L L nine nine two eight four seven one"}, {"id": "q007", "category": "format", "question": "output中是否将“hash B nine nine two zero one one”规范化成了“#B992011”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“hash B nine nine two zero one one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: #B992011; oral: hash B nine nine two zero one one"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clean: 无口语词或重复; oral: Look, damaged, damaged, Order number... order number"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“Order number... order number”处理成了“Order number”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了犹豫/重复语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: Order number; oral: Order number... order number"}]}
{"status": "success", "index": 12, "source_record_id": "recheck.jsonl:18", "source_line": 8, "audio": "audio/academic__recheckjsonl18.wav", "scene": "academic", "language": "zh", "oral": "这个Learning Rate设成零点零一，啊不对，零点零零一才行。", "clean": "Learning Rate设成0.001才行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Learning Rate”保持了首字母大写的格式？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"Learning Rate\""}, {"id": "q002", "category": "format", "question": "output中是否将“零点零零一”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"零点零零一\", clean: \"0.001\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"这个\", \"啊不对\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“零点零一，啊不对，零点零零一”处理成了最终结果“0.001”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"零点零一，啊不对，零点零零一\", clean: \"0.001\""}, {"id": "q005", "category": "content", "question": "output中是否存在“设成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"设成\""}, {"id": "q006", "category": "content", "question": "output中是否存在“才行”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"才行\""}]}
{"status": "success", "index": 13, "source_record_id": "recheck.jsonl:17", "source_line": 7, "audio": "audio/academic__recheckjsonl17.wav", "scene": "academic", "language": "zh", "oral": "我怀疑怀疑这个 Learning Rate 设太高，或者说…重新看下，应该是 Gradient 梯度爆炸，梯度爆炸导致 Loss 没法收敛，得把 Batch Size 调成五百一十二试试。", "clean": "我怀疑这个 Learning Rate 设太高，应该是 Gradient 梯度爆炸，导致 Loss 没法收敛，得把 Batch Size 调成 512 试试。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "怀疑怀疑, 或者说…重新看下, 梯度爆炸，梯度爆炸"}, {"id": "q002", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五百一十二 -> 512"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“或者说…重新看下，应该是”处理成了“应该是”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "或者说…重新看下，应该是 -> 应该是"}, {"id": "q004", "category": "content", "question": "output中是否存在“Learning Rate 设太高”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Learning Rate 设太高"}, {"id": "q005", "category": "content", "question": "output中是否存在“Gradient 梯度爆炸”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Gradient 梯度爆炸"}, {"id": "q006", "category": "content", "question": "output中是否存在“Loss 没法收敛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Loss 没法收敛"}]}
{"status": "success", "index": 11, "source_record_id": "assigned_records.jsonl:18998", "source_line": 810, "audio": "audio/tech__assigned_recordsjsonl18998.wav", "scene": "tech", "language": "en", "oral": "Hey, I want to benchmark two caching strategies. If we integrate Vault for secret management... then we could maybe... wait, let me rephrase... then we could compare the latency. I need to run aws eks update kubeconfig first, then run run istioctl analyze to check the Istio Service Mesh config. Once it looks good, I will trigger argocd app sync, trigger argocd app sync to deploy. Can you help me monitor the performance across ten thousand requests per second?", "clean": "Hey, I want to benchmark two caching strategies. If we integrate Vault for secret management, then we could compare the latency. I need to run aws eks update-kubeconfig first, then run istioctl analyze to check the Istio Service Mesh config. Once it looks good, I will trigger argocd app sync to deploy. Can you help me monitor the performance across 10,000 requests per second?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“maybe... wait, let me rephrase... then we could compare the latency”处理成了“compare the latency”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"then we could maybe... wait, let me rephrase... then we could compare the latency.\" clean: \"then we could compare the latency.\""}, {"id": "q002", "category": "format", "question": "output中是否将“update kubeconfig”规范化成了“update-kubeconfig”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“update kubeconfig”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"aws eks update kubeconfig\" clean: \"aws eks update-kubeconfig\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"run run istioctl analyze\", \"trigger argocd app sync, trigger argocd app sync\""}, {"id": "q004", "category": "format", "question": "output中是否将“ten thousand”规范化成了“10,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten thousand”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ten thousand requests per second\" clean: \"10,000 requests per second\""}, {"id": "q005", "category": "content", "question": "output中是否存在“benchmark two caching strategies”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"benchmark two caching strategies\""}, {"id": "q006", "category": "content", "question": "output中是否存在“integrate Vault for secret management”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"integrate Vault for secret management\""}, {"id": "q007", "category": "content", "question": "output中是否存在“run istioctl analyze”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"run istioctl analyze\""}, {"id": "q008", "category": "content", "question": "output中是否存在“check the Istio Service Mesh config”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"check the Istio Service Mesh config\""}, {"id": "q009", "category": "content", "question": "output中是否存在“trigger argocd app sync to deploy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"trigger argocd app sync to deploy\""}, {"id": "q010", "category": "content", "question": "output中是否存在“monitor the performance”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"monitor the performance\""}]}
{"status": "success", "index": 10, "source_record_id": "recheck.jsonl:407", "source_line": 230, "audio": "audio/meeting__recheckjsonl407.wav", "scene": "meeting", "language": "en", "oral": "So, uh, I just synced with Saanvi Patel regarding the dashboard, and, well, the MAU growth is looking... it's at twelve percent... no, thirteen percent... wait, that's wrong, it's actually fourteen percent! Anyway, I think we need to, I mean, we should probably check if Business Intelligence can... just, how should I put it, refine the data for Average Order Value. It was forty two dollars... no, forty five dollars... hold on, sorry, it's forty eight dollars! So, yeah, we're just waiting on DevOps to, uh, deploy the fix by Friday, or maybe Thursday, just to be safe, right?", "clean": "I just synced with Saanvi Patel regarding the dashboard, and the MAU growth is at 14%! I think we should probably check if Business Intelligence can refine the data for Average Order Value. It was $48! So, we're just waiting on DevOps to deploy the fix by Thursday, just to be safe, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“与Saanvi Patel同步关于dashboard的事”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: synced with Saanvi Patel regarding the dashboard; clean: synced with Saanvi Patel regarding the dashboard"}, {"id": "q002", "category": "content", "question": "output中是否存在“Business Intelligence”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: Business Intelligence; clean: Business Intelligence"}, {"id": "q003", "category": "content", "question": "output中是否存在“Average Order Value”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: Average Order Value; clean: Average Order Value"}, {"id": "q004", "category": "content", "question": "output中是否保留了“DevOps部署修复”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: DevOps to... deploy the fix; clean: DevOps to deploy the fix"}, {"id": "q005", "category": "format", "question": "output中是否将“fourteen percent”规范化成了“14%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fourteen percent”", "score": 0}, {"text": "不存在该词或写成了其他错误内容", "score": -1}], "evidence": "oral: fourteen percent; clean: 14%"}, {"id": "q006", "category": "format", "question": "output中是否将“forty eight dollars”规范化成了“$48”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty eight dollars”", "score": 0}, {"text": "不存在该词或写成了其他错误内容", "score": -1}], "evidence": "oral: forty eight dollars; clean: $48"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, well, Anyway, I mean, just, how should I put it, yeah; clean: 无此类口语词"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“twelve percent... no, thirteen percent... wait, that's wrong, it's actually fourteen percent”处理成了最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: twelve percent... no, thirteen percent... wait, that's wrong, it's actually fourteen percent; clean: 14%"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“forty two dollars... no, forty five dollars... hold on, sorry, it's forty eight dollars”处理成了最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: forty two dollars... no, forty five dollars... hold on, sorry, it's forty eight dollars; clean: $48"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“by Friday, or maybe Thursday”处理成了“by Thursday”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: by Friday, or maybe Thursday; clean: by Thursday"}]}
{"status": "success", "index": 14, "source_record_id": "recheck.jsonl:100", "source_line": 2, "audio": "audio/academic__recheckjsonl100.wav", "scene": "academic", "language": "zh", "oral": "张老师，我觉得这次实验把 Batch Size 设成五百一十二，哦不是，应该是一千零二十四，然后那个，怎么说呢，如果我们尝试在 Fine tuning 阶段引入 LORA，可能能把收敛速度提升百分之十五左右。", "clean": "张老师，我觉得这次实验把 Batch Size 设成1024，然后如果我们尝试在 Fine-tuning 阶段引入 LoRA，可能能把收敛速度提升15%左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“张老师”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 张老师"}, {"id": "q002", "category": "content", "question": "output中是否存在“Batch Size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Batch Size"}, {"id": "q003", "category": "content", "question": "output中是否存在“收敛速度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 收敛速度"}, {"id": "q004", "category": "format", "question": "output中是否将“一千零二十四”规范化成了“1024”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一千零二十四”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 一千零二十四; clean: 1024"}, {"id": "q005", "category": "format", "question": "output中是否将“Fine tuning”规范化成了“Fine-tuning”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Fine tuning”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Fine tuning; clean: Fine-tuning"}, {"id": "q006", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: LORA; clean: LoRA"}, {"id": "q007", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五; clean: 15%"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 然后那个，怎么说呢"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“五百一十二，哦不是，应该是一千零二十四”处理成了“1024”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 五百一十二，哦不是，应该是一千零二十四; clean: 1024"}]}
{"status": "success", "index": 17, "source_record_id": "recheck.jsonl:29", "source_line": 11, "audio": "audio/academic__recheckjsonl29.wav", "scene": "academic", "language": "zh", "oral": "对了，我觉得这个 Attention 机制，Attention 机制得优化，之前调到零点五，不对，零点三，零点三才收敛，得重新跑跑实验。", "clean": "我觉得这个 Attention 机制得优化，之前调到 0.3 才收敛，得重新跑跑实验。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Attention 机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Attention 机制"}, {"id": "q002", "category": "content", "question": "output中是否存在“收敛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 收敛"}, {"id": "q003", "category": "content", "question": "output中是否存在“跑跑实验”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 跑跑实验"}, {"id": "q004", "category": "format", "question": "output中是否将“零点三”规范化成了“0.3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点三”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点三, clean: 0.3"}, {"id": "q005", "category": "format", "question": "output中是否将“attention”规范化为首字母大写的“Attention”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: Attention, clean: Attention"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了，Attention 机制，Attention 机制，零点三，零点三"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“调到零点五，不对，零点三”处理成了“调到0.3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 调到零点五，不对，零点三, clean: 调到 0.3"}]}
{"status": "success", "index": 15, "source_record_id": "recheck.jsonl:11", "source_line": 3, "audio": "audio/academic__recheckjsonl11.wav", "scene": "academic", "language": "zh", "oral": "其实这个Pipeline大概逻辑是，先是对原始数据集做一次Data Augmentation，然后把这些样本喂给那个，嗯，ResNet五十层，啊不对，应该是ResNet一百八层，用来提取特征，最后再通过一个Attention Mechanism把全局信息给聚合起来，整体的Accuracy大概提升了百分之四点二左右。", "clean": "其实这个Pipeline大概逻辑是，先是对原始数据集做一次Data Augmentation，然后把这些样本喂给ResNet-18，用来提取特征，最后再通过一个Attention Mechanism把全局信息给聚合起来，整体的Accuracy大概提升了4.2%左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个，嗯，"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ResNet五十层，啊不对，应该是ResNet一百八层”处理成了“ResNet-18”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ResNet五十层，啊不对，应该是ResNet一百八层; clean: ResNet-18"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之四点二”规范化成了“4.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之四点二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之四点二; clean: 4.2%"}, {"id": "q004", "category": "content", "question": "output中是否存在“Pipeline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Pipeline"}, {"id": "q005", "category": "content", "question": "output中是否存在“Data Augmentation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Data Augmentation"}, {"id": "q006", "category": "content", "question": "output中是否存在“Attention Mechanism”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Attention Mechanism"}, {"id": "q007", "category": "content", "question": "output中是否存在“Accuracy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Accuracy"}, {"id": "q008", "category": "content", "question": "output中是否存在“原始数据集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 原始数据集"}, {"id": "q009", "category": "content", "question": "output中是否存在“提取特征”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 提取特征"}, {"id": "q010", "category": "content", "question": "output中是否存在“全局信息”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 全局信息"}]}
{"status": "success", "index": 16, "source_record_id": "recheck.jsonl:12", "source_line": 4, "audio": "audio/academic__recheckjsonl12.wav", "scene": "academic", "language": "zh", "oral": "我想想啊，这个实验结果其实得看这个learning rate，初始设成零点一…不对，零点零一…等等错了，是零点零零一！诶，如果你把batch size调到五百一十二，其实能缓解梯度爆炸问题吧，怎么说呢，主要是因为这个optimizer在收敛过程中，那个momentum参数给得太高，导致结果不稳定呀。", "clean": "实验结果其实得看learning rate，初始设成0.001！如果你把batch size调到512，其实能缓解梯度爆炸问题吧，主要是因为optimizer在收敛过程中，momentum参数给得太高，导致结果不稳定呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想想啊，这个 / 怎么说呢， / 那个"}, {"id": "q002", "category": "rephrase", "question": "output中是否去除了“零点一…不对，零点零一…等等错了”的纠错过程，并保留了最终结果“0.001”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "初始设成零点一…不对，零点零一…等等错了，是零点零零一！ -> 初始设成0.001！"}, {"id": "q003", "category": "format", "question": "output中是否将“零点零零一”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "零点零零一 -> 0.001"}, {"id": "q004", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五百一十二 -> 512"}, {"id": "q005", "category": "content", "question": "output中是否存在“实验结果其实得看”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "实验结果其实得看"}, {"id": "q006", "category": "content", "question": "output中是否存在“learning rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "learning rate"}, {"id": "q007", "category": "content", "question": "output中是否存在“batch size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "batch size"}, {"id": "q008", "category": "content", "question": "output中是否存在“缓解梯度爆炸问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "缓解梯度爆炸问题"}, {"id": "q009", "category": "content", "question": "output中是否存在“optimizer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "optimizer"}, {"id": "q010", "category": "content", "question": "output中是否存在“收敛过程”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "收敛过程"}, {"id": "q011", "category": "content", "question": "output中是否存在“momentum”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "momentum"}, {"id": "q012", "category": "content", "question": "output中是否存在“参数给得太高”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "参数给得太高"}, {"id": "q013", "category": "content", "question": "output中是否存在“导致结果不稳定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "导致结果不稳定"}]}
{"status": "success", "index": 18, "source_record_id": "recheck.jsonl:16", "source_line": 6, "audio": "audio/academic__recheckjsonl16.wav", "scene": "academic", "language": "zh", "oral": "关于这个模型架构，我打算在Encoder部分引入，引入一种注意力机制，我想想，其实是想用那个，那个学习率设成零点零一，不对，零点零零一，等等错了，是一乘十的负四次方！然后我我我打算把这个数据集扩充，扩充到五千个样本，这样能提升Generalization能力，但那个，那个维度应该是两百五十六，不对，五百一十二，等等错了，是一千零二十四！这这这部分可能得重新推导一下。", "clean": "关于这个模型架构，我打算在Encoder部分引入一种注意力机制。学习率设成1e-4！然后我打算把这个数据集扩充到5000个样本，这样能提升Generalization能力，但维度应该是1024！这部分可能得重新推导一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“模型架构”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于这个模型架构"}, {"id": "q002", "category": "content", "question": "output中是否存在“注意力机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 引入一种注意力机制"}, {"id": "q003", "category": "content", "question": "output中是否存在“数据集扩充”或“扩充数据集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把这个数据集扩充"}, {"id": "q004", "category": "content", "question": "output中是否存在“重新推导”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 可能得重新推导一下"}, {"id": "q005", "category": "format", "question": "output中是否将“encoder”规范化成了首字母大写的“Encoder”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“encoder”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Encoder部分"}, {"id": "q006", "category": "format", "question": "output中是否将“一乘十的负四次方”规范化成了“1e-4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一乘十的负四次方”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 学习率设成1e-4"}, {"id": "q007", "category": "format", "question": "output中是否将“五千”规范化成了“5000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五千”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 扩充到5000个样本"}, {"id": "q008", "category": "format", "question": "output中是否将“generalization”规范化成了首字母大写的“Generalization”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“generalization”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 提升Generalization能力"}, {"id": "q009", "category": "format", "question": "output中是否将“一千零二十四”规范化成了“1024”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一千零二十四”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 维度应该是1024"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 引入，引入 / 那个，那个 / 我我我 / 扩充，扩充 / 这这这"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“零点零一，不对，零点零零一，等等错了，是一乘十的负四次方”处理成了“1e-4”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 学习率设成零点零一，不对，零点零零一，等等错了，是一乘十的负四次方 / clean: 学习率设成1e-4"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“两百五十六，不对，五百一十二，等等错了，是一千零二十四”处理成了“1024”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 维度应该是两百五十六，不对，五百一十二，等等错了，是一千零二十四 / clean: 维度应该是1024"}]}
{"status": "success", "index": 19, "source_record_id": "recheck.jsonl:15", "source_line": 5, "audio": "audio/academic__recheckjsonl15.wav", "scene": "academic", "language": "zh", "oral": "哦对了，关于那个 ABLATION 实验的部分，我觉得你把那个 baseline 设得太高了，话说，如果咱们把 learning rate 调到零点零零一，那个 convergence 速度可能反而会慢下来，嗯，得重新审视一下，哎，再就是那个数据集在预处理阶段，好像有百分之五点三的数据点丢失了，这对 result 影响挺大，得赶紧给补上，不然审稿人肯定会质疑咱们那个 model 的 robustness。", "clean": "关于Ablation实验的部分，我觉得你把baseline设得太高了。如果咱们把learning rate调到0.001，convergence速度可能反而会慢下来，得重新审视一下。再就是数据集在预处理阶段，好像有5.3%的数据点丢失了，这对result影响挺大，得赶紧给补上，不然审稿人肯定会质疑咱们model的robustness。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ABLATION”规范化成了“Ablation”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ABLATION”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ABLATION; clean: Ablation"}, {"id": "q002", "category": "format", "question": "output中是否将“零点零零一”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点零零一; clean: 0.001"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之五点三”规范化成了“5.3%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五点三”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之五点三; clean: 5.3%"}, {"id": "q004", "category": "content", "question": "output中是否存在“baseline设得太高了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: baseline设得太高了"}, {"id": "q005", "category": "content", "question": "output中是否存在“convergence速度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: convergence速度"}, {"id": "q006", "category": "content", "question": "output中是否存在“数据点丢失了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 数据点丢失了"}, {"id": "q007", "category": "content", "question": "output中是否存在“model的robustness”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: model的robustness"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了, 那个, 话说, 嗯, 哎"}]}
{"status": "success", "index": 20, "source_record_id": "recheck.jsonl:2", "source_line": 9, "audio": "audio/academic__recheckjsonl2.wav", "scene": "academic", "language": "zh", "oral": "嗯，我觉得这篇论文核心在于那个 Attention mechanism 的优化，然后它在数据集上跑出了百分之八十二的准确率，哦不是，是百分之八十八，另外它对 Hyper parameter 的敏感度分析做得挺细，还有就是关于 LORA 适配器在多模态场景下怎么说呢，其实推理延迟降低了约三十个毫秒吧，整体逻辑很强呀。", "clean": "我觉得这篇论文核心在于 Attention mechanism 的优化，它在数据集上跑出了 88% 的准确率，另外它对 Hyper-parameter 的敏感度分析做得挺细，还有关于 LoRA 适配器在多模态场景下，推理延迟降低了约 30ms，整体逻辑很强。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，那个，怎么说呢，其实，吧，呀"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“百分之八十二的准确率，哦不是，是百分之八十八”处理成了“88%的准确率”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "百分之八十二的准确率，哦不是，是百分之八十八"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之八十八”规范化成了“88%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八十八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之八十八"}, {"id": "q004", "category": "format", "question": "output中是否将“Hyper parameter”规范化成了“Hyper-parameter”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Hyper parameter”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Hyper parameter"}, {"id": "q005", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "LORA"}, {"id": "q006", "category": "format", "question": "output中是否将“三十个毫秒”规范化成了“30ms”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三十个毫秒”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "三十个毫秒"}, {"id": "q007", "category": "content", "question": "output中是否存在“Attention mechanism 的优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Attention mechanism 的优化"}, {"id": "q008", "category": "content", "question": "output中是否存在“敏感度分析做得挺细”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "敏感度分析做得挺细"}, {"id": "q009", "category": "content", "question": "output中是否存在“多模态场景”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "多模态场景"}, {"id": "q010", "category": "content", "question": "output中是否存在“整体逻辑很强”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "整体逻辑很强"}]}
{"status": "success", "index": 21, "source_record_id": "recheck.jsonl:21", "source_line": 10, "audio": "audio/academic__recheckjsonl21.wav", "scene": "academic", "language": "zh", "oral": "说白了，咱们现在得调整调整这个 Learning Rate，Learning Rate 设得太高了会导致梯度爆炸，而且那个...那个 Batch Size 应该得...得调到五百一十二，现在这个设置在训练集上收敛太慢，简单来说，就是我们需要重新重新定义这个 Loss Function，可能得把 L two 正则项加进去，才能让模型...才能够泛化，得在二零二五年三月一号之前跑完这组对比实验。", "clean": "说白了，咱们现在得调整调整 Learning Rate，Learning Rate 设得太高了会导致梯度爆炸，而且 Batch Size 应该得调到 512，现在这个设置在训练集上收敛太慢。简单来说，就是我们需要重新定义这个 Loss Function，可能得把 L2 正则项加进去，才能让模型能够泛化，得在 2025年3月1日之前跑完这组对比实验。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "规范化成了“512”", "score": 1}, {"text": "仍保留“五百一十二”但未规范化", "score": 0}, {"text": "既没有“512”也没有“五百一十二”", "score": -1}], "evidence": "oral: '五百一十二', clean: '512'"}, {"id": "q002", "category": "format", "question": "output中是否将“L two”规范化成了“L2”？", "options": [{"text": "规范化成了“L2”", "score": 1}, {"text": "仍保留“L two”但未规范化", "score": 0}, {"text": "既没有“L2”也没有“L two”", "score": -1}], "evidence": "oral: 'L two', clean: 'L2'"}, {"id": "q003", "category": "format", "question": "output中是否将“二零二五年三月一号”规范化成了“2025年3月1日”？", "options": [{"text": "规范化成了“2025年3月1日”", "score": 1}, {"text": "仍保留“二零二五年三月一号”但未规范化", "score": 0}, {"text": "既没有“2025年3月1日”也没有“二零二五年三月一号”", "score": -1}], "evidence": "oral: '二零二五年三月一号', clean: '2025年3月1日'"}, {"id": "q004", "category": "content", "question": "output中是否存在“梯度爆炸”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '梯度爆炸', clean: '梯度爆炸'"}, {"id": "q005", "category": "content", "question": "output中是否存在“收敛太慢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '收敛太慢', clean: '收敛太慢'"}, {"id": "q006", "category": "content", "question": "output中是否存在“泛化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '泛化', clean: '泛化'"}, {"id": "q007", "category": "content", "question": "output中是否存在“对比实验”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '对比实验', clean: '对比实验'"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '那个...那个', '应该得...得', '重新重新', '才能够', clean: 去除了这些口语词和重复词"}]}
{"status": "success", "index": 24, "source_record_id": "recheck.jsonl:3", "source_line": 12, "audio": "audio/academic__recheckjsonl3.wav", "scene": "academic", "language": "zh", "oral": "说白了，我这套框架，嗯，其实是在解决 Cross Attention 机制里，怎么说呢，就是计算量太大的问题，我想想啊，如果把那个，把所有的 Token 映射到，诶，不对，应该是通过一个轻量化 LORA 模块，把参数量压到五百一十二个，这样在推理阶段吧，效率能提升百分之十五点三，也就是，简单来说，就是牺牲一点点精度，换取推理速度，哈。", "clean": "说白了，我这套框架其实是在解决 Cross-Attention 机制里计算量太大的问题。应该是通过一个轻量化 LoRA 模块，把参数量压到 512 个，这样在推理阶段效率能提升 15.3%，简单来说，就是牺牲一点点精度换取推理速度。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“解决 Cross Attention 机制里计算量太大的问题”这一语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 解决 Cross-Attention 机制里计算量太大的问题 / oral: 解决 Cross Attention 机制里...计算量太大的问题"}, {"id": "q002", "category": "content", "question": "output中是否存在“牺牲一点点精度换取推理速度”这一语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 牺牲一点点精度换取推理速度 / oral: 牺牲一点点精度，换取推理速度"}, {"id": "q003", "category": "format", "question": "output中是否将“Cross Attention”规范化成了“Cross-Attention”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Cross Attention”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Cross-Attention / oral: Cross Attention"}, {"id": "q004", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: LoRA / oral: LORA"}, {"id": "q005", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 512 / oral: 五百一十二"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十五点三”规范化成了“15.3%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五点三”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 15.3% / oral: 百分之十五点三"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 怎么说呢, 我想想啊, 诶, 吧, 也就是, 哈"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“把所有的 Token 映射到，诶，不对，应该是”处理成了直接表述“通过一个轻量化 LoRA 模块”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 把所有的 Token 映射到，诶，不对，应该是通过一个轻量化 LORA 模块 / clean: 应该是通过一个轻量化 LoRA 模块"}]}
{"status": "success", "index": 25, "source_record_id": "recheck.jsonl:35", "source_line": 16, "audio": "audio/academic__recheckjsonl35.wav", "scene": "academic", "language": "zh", "oral": "虽然王教授说这个 Baseline 效果好，效果好，但我认为这个模型在处理五百二十个样本时，这个样本量…怎么说呢…样本量太小了，太小了，没法证明 S-O-T-A 性能。", "clean": "虽然王教授说这个 Baseline 效果好，但我认为这个模型在处理520个样本时，样本量太小了，没法证明 SOTA 性能。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Baseline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这个 Baseline 效果好"}, {"id": "q002", "category": "format", "question": "output中是否将“五百二十”规范化成了“520”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百二十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五百二十个样本 -> 520个样本"}, {"id": "q003", "category": "format", "question": "output中是否将“S-O-T-A”规范化成了“SOTA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S-O-T-A”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "S-O-T-A 性能 -> SOTA 性能"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "效果好，效果好 / 这个样本量…怎么说呢…样本量太小了，太小了"}, {"id": "q005", "category": "content", "question": "output中是否存在“王教授”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "王教授说"}, {"id": "q006", "category": "content", "question": "output中是否存在“没法证明”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "没法证明 SOTA 性能"}]}
{"status": "success", "index": 22, "source_record_id": "recheck.jsonl:31", "source_line": 14, "audio": "audio/academic__recheckjsonl31.wav", "scene": "academic", "language": "zh", "oral": "王教授，嗯，关于这个 Transformer 架构，就是我想想啊，把参数量设成五百一十二万吧。", "clean": "王教授，关于Transformer架构，把参数量设成512万吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“王教授”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "王教授"}, {"id": "q002", "category": "content", "question": "output中是否存在“参数量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "参数量"}, {"id": "q003", "category": "format", "question": "output中是否将“Transformer”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“transformer”或“Transformer”", "score": 0}, {"text": "不存在“Transformer”或“transformer”", "score": -1}], "evidence": "Transformer"}, {"id": "q004", "category": "format", "question": "output中是否将“五百一十二万”规范化成了“512万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二万”", "score": 0}, {"text": "不存在“512万”或“五百一十二万”", "score": -1}], "evidence": "五百一十二万 -> 512万"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，就是我想想啊"}, {"id": "q006", "category": "rephrase", "question": "output中是否去除了“就是我想想啊”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "就是我想想啊"}]}
{"status": "success", "index": 23, "source_record_id": "recheck.jsonl:30", "source_line": 13, "audio": "audio/academic__recheckjsonl30.wav", "scene": "academic", "language": "zh", "oral": "哎呀太离谱了，嗯，这篇论文采样率设在二十赫兹…不对，五十赫兹…等等错了，是一百赫兹！但那那那个 SNR 提升太假，怎么说呢，居然能跑出百分之十五点二 提升，我觉得这这这这个 Baseline 根本没对齐吧，我想想啊，应该是把数据集分成了三份…不对，四份…等等错了，是五份！才出来的结果哈。", "clean": "太离谱了，这篇论文采样率设在100Hz！但SNR提升太假，居然能跑出15.2%提升，我觉得这个Baseline根本没对齐吧，应该是把数据集分成了5份才出来的结果哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哎呀, 嗯, 那那那个, 怎么说呢, 这这这这个, 我想想啊"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“二十赫兹…不对，五十赫兹…等等错了，是一百赫兹”处理成了“100Hz”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 二十赫兹…不对，五十赫兹…等等错了，是一百赫兹；clean: 100Hz"}, {"id": "q003", "category": "format", "question": "output中是否将“一百赫兹”规范化成了“100Hz”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一百赫兹”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 一百赫兹；clean: 100Hz"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十五点二”规范化成了“15.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五点二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五点二；clean: 15.2%"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“分成了三份…不对，四份…等等错了，是五份”处理成了“5份”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 分成了三份…不对，四份…等等错了，是五份；clean: 5份"}, {"id": "q006", "category": "format", "question": "output中是否将“五份”规范化成了“5份”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五份”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五份；clean: 5份"}, {"id": "q007", "category": "content", "question": "output中是否存在“SNR”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: SNR"}, {"id": "q008", "category": "content", "question": "output中是否存在“Baseline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Baseline"}, {"id": "q009", "category": "content", "question": "output中是否存在“太离谱了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 太离谱了"}, {"id": "q010", "category": "content", "question": "output中是否存在“数据集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 数据集"}]}
{"status": "success", "index": 28, "source_record_id": "recheck.jsonl:41", "source_line": 19, "audio": "audio/academic__recheckjsonl41.wav", "scene": "academic", "language": "zh", "oral": "我也不太确定，但是感觉感觉这个 Top one Accuracy 掉这么多，可能是 C4 数据集预处理有问题。我想想，如果我们在 KV Cache 那块，KV Cache 优化得不到位，或者说，如果量化量化得太狠，比如 Quantization 选了四比特，可能会影响 RAG 检索效果。", "clean": "我也不太确定，但是感觉这个 Top-1 Accuracy 掉这么多，可能是 C4 数据集预处理有问题。我想想，如果我们在 KV Cache 那块，KV Cache 优化得不到位，或者说，如果量化得太狠，比如 Quantization 选了 4-bit，可能会影响 RAG 检索效果。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "感觉感觉，量化量化得"}, {"id": "q002", "category": "format", "question": "output中是否将“Top one Accuracy”规范化成了“Top-1 Accuracy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Top one Accuracy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Top one Accuracy -> Top-1 Accuracy"}, {"id": "q003", "category": "format", "question": "output中是否将“四比特”规范化成了“4-bit”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“四比特”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "四比特 -> 4-bit"}, {"id": "q004", "category": "content", "question": "output中是否存在“C4数据集预处理有问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "C4 数据集预处理有问题"}, {"id": "q005", "category": "content", "question": "output中是否存在“KV Cache优化得不到位”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "KV Cache 优化得不到位"}, {"id": "q006", "category": "content", "question": "output中是否存在“影响RAG检索效果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "影响 RAG 检索效果"}]}
{"status": "success", "index": 27, "source_record_id": "recheck.jsonl:34", "source_line": 15, "audio": "audio/academic__recheckjsonl34.wav", "scene": "academic", "language": "zh", "oral": "嗯，我想想啊，与其用 ViT 这种纯 Transformer 架构，不如直接上 Stable Diffusion 3 吧。我觉得我觉得，用 Stable Diffusion 3 比 CLIP 更能捕捉细节哈。数据集那边，咱们用 Multi30K...不对，Multi300K...等等错了，是 Multi30K！怎么说呢，咱们得看 AUC 表现，看 AUC 表现能不能比之前提升百分之二点五呀。", "clean": "与其用 ViT 这种纯 Transformer 架构，不如直接上 Stable Diffusion 3 吧。我觉得用 Stable Diffusion 3 比 CLIP 更能捕捉细节。数据集那边，咱们用 Multi30K！咱们得看 AUC 表现，看 AUC 表现能不能比之前提升 2.5% 呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，我想想啊 / 我觉得我觉得 / 哈 / 怎么说呢"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Multi30K...不对，Multi300K...等等错了，是 Multi30K”处理成了“Multi30K”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Multi30K...不对，Multi300K...等等错了，是 Multi30K！ -> Multi30K！"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之二点五”规范化成了“2.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之二点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之二点五 -> 2.5%"}, {"id": "q004", "category": "content", "question": "output中是否存在“Stable Diffusion 3”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Stable Diffusion 3"}, {"id": "q005", "category": "content", "question": "output中是否存在“CLIP”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "CLIP"}, {"id": "q006", "category": "content", "question": "output中是否存在“AUC 表现”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "AUC 表现"}, {"id": "q007", "category": "content", "question": "output中是否存在“纯 Transformer 架构”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "纯 Transformer 架构"}]}
{"status": "success", "index": 26, "source_record_id": "recheck.jsonl:38", "source_line": 17, "audio": "audio/academic__recheckjsonl38.wav", "scene": "academic", "language": "zh", "oral": "那个，我也不太确定，但是感觉这里的 Loss function 应该是用 Cross Entropy，啊不对，是 Mean Squared Error，因为咱们处理的是回归问题，然后那个 Learning Rate 设置成零点零零一可能太小，导致收敛速度太慢，嗯，可能需要调高到零点零一，这样在 Validation set 上观察到的梯度下降才会更明显，我大概就是这么想", "clean": "我也不太确定，但感觉这里的 Loss function 应该是用 Mean Squared Error，因为咱们处理的是回归问题。Learning Rate 设置成 0.001 可能太小，导致收敛速度太慢，可能需要调高到 0.01，这样在 Validation set 上观察到的梯度下降才会更明显，我大概就是这么想。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“回归问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 因为咱们处理的是回归问题"}, {"id": "q002", "category": "content", "question": "output中是否存在“收敛速度太慢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 导致收敛速度太慢"}, {"id": "q003", "category": "content", "question": "output中是否存在“梯度下降”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 观察到的梯度下降才会更明显"}, {"id": "q004", "category": "format", "question": "output中是否将“零点零零一”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点零零一, clean: 0.001"}, {"id": "q005", "category": "format", "question": "output中是否将“零点零一”规范化成了“0.01”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点零一, clean: 0.01"}, {"id": "q006", "category": "format", "question": "output中是否将“Loss function”保留为英文且首字母大写？", "options": [{"text": "保留了相同或合理的大小写格式", "score": 1}, {"text": "保留了该词但未使用合理的大小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Loss function, clean: Loss function"}, {"id": "q007", "category": "format", "question": "output中是否将“Mean Squared Error”保留为英文且首字母大写？", "options": [{"text": "保留了相同或合理的大小写格式", "score": 1}, {"text": "保留了该词但未使用合理的大小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Mean Squared Error, clean: Mean Squared Error"}, {"id": "q008", "category": "format", "question": "output中是否将“Learning Rate”保留为英文且首字母大写？", "options": [{"text": "保留了相同或合理的大小写格式", "score": 1}, {"text": "保留了该词但未使用合理的大小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Learning Rate, clean: Learning Rate"}, {"id": "q009", "category": "format", "question": "output中是否将“Validation set”保留为英文且首字母大写？", "options": [{"text": "保留了相同或合理的大小写格式", "score": 1}, {"text": "保留了该词但未使用合理的大小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Validation set, clean: Validation set"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 啊不对, 嗯"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“Cross Entropy，啊不对，是 Mean Squared Error”处理成了“Mean Squared Error”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Cross Entropy，啊不对，是 Mean Squared Error, clean: Mean Squared Error"}]}
{"status": "success", "index": 29, "source_record_id": "recheck.jsonl:42", "source_line": 20, "audio": "audio/academic__recheckjsonl42.wav", "scene": "academic", "language": "zh", "oral": "对了，你们做这道题的时候，注意把那个 Learning Rate 设成零点零零一，哦不是，应该是零点零零五，嗯，然后你们那个，如果把，怎么说呢，如果把 Batch Size 调到五百一十二的话，计算开销可能会太大，哈，建议先试下两百五十六看能不能跑通吧。", "clean": "你们做这道题的时候，注意把 Learning Rate 设成 0.005，然后如果把 Batch Size 调到 512 的话，计算开销可能会太大，建议先试下 256 看能不能跑通吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“计算开销”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 计算开销可能会太大"}, {"id": "q002", "category": "format", "question": "output中是否将“零点零零五”规范化成了“0.005”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零五”", "score": 0}, {"text": "不存在“0.005”或“零点零零五”", "score": -1}], "evidence": "oral: 应该是零点零零五; clean: 设成 0.005"}, {"id": "q003", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在“512”或“五百一十二”", "score": -1}], "evidence": "oral: 调到五百一十二; clean: 调到 512"}, {"id": "q004", "category": "format", "question": "output中是否将“两百五十六”规范化成了“256”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两百五十六”", "score": 0}, {"text": "不存在“256”或“两百五十六”", "score": -1}], "evidence": "oral: 试下两百五十六; clean: 试下 256"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了, 哦不是, 嗯, 怎么说呢, 哈"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“零点零零一，哦不是，应该是零点零零五”处理成了“0.005”或“零点零零五”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 设成零点零零一，哦不是，应该是零点零零五; clean: 设成 0.005"}, {"id": "q007", "category": "content", "question": "output中是否存在“Batch Size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果把 Batch Size 调到"}]}
{"status": "success", "index": 31, "source_record_id": "recheck.jsonl:43", "source_line": 21, "audio": "audio/academic__recheckjsonl43.wav", "scene": "academic", "language": "zh", "oral": "嗯，现在这个模型的Zero shot能力，我想想啊，其实在处理那五百六十个样本时，表现得...其实应该是说，如果把Temperature调到零点七，结果会更稳吧，就是目前这种...由于分布偏移导致...这种case太多，导致整体Accuracy掉了一点，诶，你觉得这种方向还能走通吗？", "clean": "现在这个模型的Zero-shot能力，在处理560个样本时，如果把Temperature调到0.7，结果会更稳吧。目前由于分布偏移导致这种case太多，导致整体Accuracy掉了一点，你觉得这种方向还能走通吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯...我想想啊...其实...诶\" / clean: 无"}, {"id": "q002", "category": "format", "question": "output中是否将“五百六十”规范化成了“560”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百六十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"五百六十\" / clean: \"560\""}, {"id": "q003", "category": "format", "question": "output中是否将“零点七”规范化成了“0.7”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点七”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"零点七\" / clean: \"0.7\""}, {"id": "q004", "category": "format", "question": "output中是否将“Zero shot”规范化成了“Zero-shot”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Zero shot”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Zero shot\" / clean: \"Zero-shot\""}, {"id": "q005", "category": "rephrase", "question": "output中是否去除了“表现得...其实应该是说”这种重新表述的过程，并保留了“如果把Temperature调到0.7”的最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"表现得...其实应该是说，如果把Temperature调到零点七\" / clean: \"如果把Temperature调到0.7\""}, {"id": "q006", "category": "content", "question": "output中是否存在“分布偏移”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"分布偏移\""}, {"id": "q007", "category": "content", "question": "output中是否存在“case太多”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"case太多\""}, {"id": "q008", "category": "content", "question": "output中是否存在“Accuracy掉了一点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Accuracy掉了一点\""}, {"id": "q009", "category": "content", "question": "output中是否存在“方向还能走通吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"方向还能走通吗\""}]}
{"status": "success", "index": 30, "source_record_id": "recheck.jsonl:4", "source_line": 18, "audio": "audio/academic__recheckjsonl4.wav", "scene": "academic", "language": "zh", "oral": "说白了，我觉得我觉得这个 Loss 曲线在震荡，简单来说，咱们学习率设零点一…不对，零点零一…等等错了，是一点零乘十的负四次方！再看这个 Batch Size，Batch Size 设五百一十二，其实其实没效果，那个...数据集...内存溢出...得重新跑，得重新跑，再优化下这个 LORA 层，它可能没收敛到", "clean": "说白了，我觉得 Loss 曲线在震荡。简单来说，咱们学习率设 1.0e-4！再看这个 Batch Size，Batch Size 设 512 其实没效果，数据集内存溢出，得重新跑，再优化下这个 LoRA 层，它可能没收敛。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Loss曲线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Loss 曲线在震荡\""}, {"id": "q002", "category": "format", "question": "output中是否将“一点零乘十的负四次方”规范化成了“1.0e-4”？", "options": [{"text": "输出中包含“1.0e-4”", "score": 1}, {"text": "输出中包含“一点零乘十的负四次方”但未规范化", "score": 0}, {"text": "输出中既没有“1.0e-4”也没有“一点零乘十的负四次方”", "score": -1}], "evidence": "oral: \"一点零乘十的负四次方\", clean: \"1.0e-4\""}, {"id": "q003", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "输出中包含“512”", "score": 1}, {"text": "输出中包含“五百一十二”但未规范化", "score": 0}, {"text": "输出中既没有“512”也没有“五百一十二”", "score": -1}], "evidence": "oral: \"五百一十二\", clean: \"512\""}, {"id": "q004", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "输出中包含“LoRA”", "score": 1}, {"text": "输出中包含“LORA”但未规范化", "score": 0}, {"text": "输出中既没有“LoRA”也没有“LORA”", "score": -1}], "evidence": "oral: \"LORA\", clean: \"LoRA\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"我觉得我觉得\", \"Batch Size，Batch Size\", \"其实其实\", \"那个...\", \"得重新跑，得重新跑\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“零点一…不对，零点零一…等等错了，是一点零乘十的负四次方”处理成了“1.0e-4”？", "options": [{"text": "去除了纠错过程并保留了“1.0e-4”", "score": 2}, {"text": "去除了纠错过程但没有保留“1.0e-4”", "score": 1}, {"text": "仍保留了“零点一…不对，零点零一…等等错了”等纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"学习率设零点一…不对，零点零一…等等错了，是一点零乘十的负四次方\", clean: \"学习率设 1.0e-4\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“内存溢出”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"数据集内存溢出\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“没收敛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"它可能没收敛\""}]}
{"status": "success", "index": 32, "source_record_id": "recheck.jsonl:45", "source_line": 23, "audio": "audio/academic__recheckjsonl45.wav", "scene": "academic", "language": "zh", "oral": "我觉得这个模型得换成Transformer...对了，核心是得提升泛化能力，泛化能力，因为现在的Overfitting太严重，那个数据集规模在三千个...不对，四千个...等等错了，是五千个！我们尝试...怎么说呢...如果把Dropout调高的话，能缓解这个问题，缓解这个问题，那个实验结果...哎呀对了，我们得重新跑一遍ABLATION study。", "clean": "我觉得这个模型得换成Transformer，核心是得提升泛化能力，因为现在的Overfitting太严重，数据集规模在5000个。我们尝试如果把Dropout调高的话，能缓解这个问题，实验结果我们得重新跑一遍Ablation study。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“五千个”规范化成了“5000个”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五千个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"五千个\" -> clean: \"5000个\""}, {"id": "q002", "category": "format", "question": "output中是否将“ABLATION”规范化成了“Ablation”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ABLATION”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ABLATION\" -> clean: \"Ablation\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"泛化能力，泛化能力\", \"怎么说呢\", \"缓解这个问题，缓解这个问题\", \"哎呀对了\" -> clean: 无"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“三千个...不对，四千个...等等错了，是五千个”处理成了“五千个”或“5000个”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"三千个...不对，四千个...等等错了，是五千个\" -> clean: \"5000个\""}, {"id": "q005", "category": "content", "question": "output中是否存在“我觉得这个模型”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"我觉得这个模型\""}, {"id": "q006", "category": "content", "question": "output中是否存在“换成Transformer”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"换成Transformer\""}, {"id": "q007", "category": "content", "question": "output中是否存在“核心是得”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"核心是得\""}, {"id": "q008", "category": "content", "question": "output中是否存在“提升泛化能力”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"提升泛化能力\""}, {"id": "q009", "category": "content", "question": "output中是否存在“Overfitting太严重”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"Overfitting太严重\""}, {"id": "q010", "category": "content", "question": "output中是否存在“数据集规模在”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"数据集规模在\""}, {"id": "q011", "category": "content", "question": "output中是否存在“我们尝试”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"我们尝试\""}, {"id": "q012", "category": "content", "question": "output中是否存在“把Dropout调高”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"把Dropout调高\""}, {"id": "q013", "category": "content", "question": "output中是否存在“缓解这个问题”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"缓解这个问题\""}, {"id": "q014", "category": "content", "question": "output中是否存在“实验结果”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"实验结果\""}, {"id": "q015", "category": "content", "question": "output中是否存在“重新跑一遍”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"重新跑一遍\""}]}
{"status": "success", "index": 33, "source_record_id": "recheck.jsonl:44", "source_line": 22, "audio": "audio/academic__recheckjsonl44.wav", "scene": "academic", "language": "zh", "oral": "嗯，我发现这个 model 在 zero shot 场景下，它的泛化泛化能力其实挺强，但我们在测试集上跑出来的 accuracy 只有百分之六十二，啊不对，是百分之六十八，怎么说呢，我觉得我觉得这个 gap 主要是因为 prompt 没对齐，得再调调吧。", "clean": "我发现这个 model 在 zero shot 场景下，它的泛化能力其实挺强，但我们在测试集上跑出来的 accuracy 只有68%，我觉得这个 gap 主要是因为 prompt 没对齐，得再调调吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“model”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "model"}, {"id": "q002", "category": "content", "question": "output中是否存在“zero shot”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "zero shot"}, {"id": "q003", "category": "content", "question": "output中是否存在“泛化能力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "泛化能力"}, {"id": "q004", "category": "content", "question": "output中是否存在“测试集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "测试集"}, {"id": "q005", "category": "content", "question": "output中是否存在“accuracy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "accuracy"}, {"id": "q006", "category": "content", "question": "output中是否存在“gap”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "gap"}, {"id": "q007", "category": "content", "question": "output中是否存在“prompt”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "prompt"}, {"id": "q008", "category": "content", "question": "output中是否存在“没对齐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "没对齐"}, {"id": "q009", "category": "content", "question": "output中是否存在“再调调”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "再调调"}, {"id": "q010", "category": "format", "question": "output中是否将“百分之六十八”规范化成了“68%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之六十八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之六十八 -> 68%"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“百分之六十二，啊不对，是百分之六十八”处理成了“68%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "百分之六十二，啊不对，是百分之六十八 -> 68%"}, {"id": "q012", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 泛化泛化, 啊不对, 怎么说呢, 我觉得我觉得"}]}
{"status": "success", "index": 35, "source_record_id": "recheck.jsonl:6", "source_line": 29, "audio": "audio/academic__recheckjsonl6.wav", "scene": "academic", "language": "zh", "oral": "我觉得这种方案，这种方案比直接用 Full Fine tuning 更好，与其追求参数量，追求参数量…怎么说呢…比提升 Zero shot 能力更关键。", "clean": "我觉得这种方案比直接用 Full Fine-tuning 更好，与其追求参数量，比提升 Zero-shot 能力更关键。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Full Fine tuning”规范化成了“Full Fine-tuning”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Full Fine tuning”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Full Fine tuning; clean: Full Fine-tuning"}, {"id": "q002", "category": "format", "question": "output中是否将“Zero shot”规范化成了“Zero-shot”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Zero shot”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Zero shot; clean: Zero-shot"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 这种方案，这种方案; 追求参数量，追求参数量; 怎么说呢"}, {"id": "q004", "category": "content", "question": "output中是否存在“我觉得这种方案”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我觉得这种方案"}, {"id": "q005", "category": "content", "question": "output中是否存在“比直接用”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 比直接用"}, {"id": "q006", "category": "content", "question": "output中是否存在“更好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 更好"}, {"id": "q007", "category": "content", "question": "output中是否存在“与其追求参数量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 与其追求参数量"}, {"id": "q008", "category": "content", "question": "output中是否存在“比提升”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 比提升"}, {"id": "q009", "category": "content", "question": "output中是否存在“更关键”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 更关键"}]}
{"status": "success", "index": 34, "source_record_id": "recheck.jsonl:47", "source_line": 24, "audio": "audio/academic__recheckjsonl47.wav", "scene": "academic", "language": "zh", "oral": "我想请教一下，您在实验里先是用了那个Contrastive Learning，Contrastive Learning来做预训练，然后把模型在ImageNet数据集上跑了四十个epoch，不对，是五十个epoch，最后通过Fine tuning微调到下游任务，但我觉得这个Fine-tuning过程，这个Fine tuning过程可能导致过拟合，所以想问问您具体怎么平衡学习率？", "clean": "我想请教一下，您在实验里先是用Contrastive Learning来做预训练，然后把模型在ImageNet数据集上跑了50个epoch，最后通过Fine-tuning微调到下游任务，但我觉得这个Fine-tuning过程可能导致过拟合，所以想问问您具体怎么平衡学习率？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“下游任务”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最后通过Fine-tuning微调到下游任务"}, {"id": "q002", "category": "format", "question": "output中是否将“五十个epoch”规范化成了“50个epoch”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五十个epoch”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五十个epoch; clean: 50个epoch"}, {"id": "q003", "category": "format", "question": "output中是否将“Fine tuning”规范化成了“Fine-tuning”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Fine tuning”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Fine tuning; clean: Fine-tuning"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个Contrastive Learning，Contrastive Learning; 这个Fine-tuning过程，这个Fine tuning过程"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“四十个epoch，不对，是五十个epoch”处理成了“50个epoch”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 四十个epoch，不对，是五十个epoch; clean: 50个epoch"}]}
{"status": "success", "index": 37, "source_record_id": "recheck.jsonl:54", "source_line": 28, "audio": "audio/academic__recheckjsonl54.wav", "scene": "academic", "language": "zh", "oral": "王教授，我之前主要在搞强化学习那边，尝试把PPO结合到Mixture of Experts架构里，具体参考了DeepSeek V3那种设计，嗯，在计算log P X的时候，我最初把IoU阈值设成零点五，啊不对，是零点七，然后发现收敛速度快了大概百分之十五左右。", "clean": "王教授，我之前主要在搞强化学习那边，尝试把PPO结合到Mixture of Experts架构里，具体参考了DeepSeek-V3那种设计，在计算log P X的时候，我最初把IoU阈值设成0.7，然后发现收敛速度快了大概15%左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“强化学习”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 强化学习"}, {"id": "q002", "category": "content", "question": "output中是否存在“PPO”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: PPO"}, {"id": "q003", "category": "content", "question": "output中是否存在“Mixture of Experts”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Mixture of Experts"}, {"id": "q004", "category": "content", "question": "output中是否存在“log P X”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: log P X"}, {"id": "q005", "category": "content", "question": "output中是否存在“IoU阈值”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: IoU阈值"}, {"id": "q006", "category": "content", "question": "output中是否存在“收敛速度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 收敛速度"}, {"id": "q007", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DeepSeek V3, clean: DeepSeek-V3"}, {"id": "q008", "category": "format", "question": "output中是否将“零点七”规范化成了“0.7”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点七”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点七, clean: 0.7"}, {"id": "q009", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五, clean: 15%"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 啊不对"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“零点五，啊不对，是零点七”处理成了“0.7”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 零点五，啊不对，是零点七, clean: 0.7"}]}
{"status": "success", "index": 36, "source_record_id": "recheck.jsonl:53", "source_line": 27, "audio": "audio/academic__recheckjsonl53.wav", "scene": "academic", "language": "zh", "oral": "张教授，嗯，这篇文章在 SuperGLUE 上跑分挺高，但我看它对 log P y given x 的处理方式，怎么说呢，其实是……应该是想通过优化分布来降 WER，但逻辑上有点绕，吧。而且 ViT 这种结构，要是想把 KV Cache 规模压到五百一十二以下，可能很难实现。", "clean": "张教授，这篇文章在 SuperGLUE 上跑分挺高，但我看它对 $\\log P(y|x)$ 的处理方式，应该是想通过优化分布来降 WER，但逻辑上有点绕。而且 ViT 这种结构，要是想把 KV Cache 规模压到 512 以下，可能很难实现。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“张教授”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 张教授"}, {"id": "q002", "category": "content", "question": "output中是否保留了“SuperGLUE”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: SuperGLUE"}, {"id": "q003", "category": "format", "question": "output中是否将“log P y given x”规范化成了“$\\log P(y|x)$”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“log P y given x”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: log P y given x, clean: $\\log P(y|x)$"}, {"id": "q004", "category": "content", "question": "output中是否保留了“优化分布”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 优化分布"}, {"id": "q005", "category": "content", "question": "output中是否保留了“降 WER”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 降 WER"}, {"id": "q006", "category": "content", "question": "output中是否保留了“ViT”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ViT"}, {"id": "q007", "category": "content", "question": "output中是否保留了“KV Cache”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: KV Cache"}, {"id": "q008", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百一十二, clean: 512"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 怎么说呢, 其实是……, 吧"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“怎么说呢，其实是……”处理成了删除该过程并保留“应该是想通过优化分布来降 WER”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 怎么说呢，其实是……应该是想通过优化分布来降 WER, clean: 应该是想通过优化分布来降 WER"}]}
{"status": "success", "index": 38, "source_record_id": "recheck.jsonl:49", "source_line": 26, "audio": "audio/academic__recheckjsonl49.wav", "scene": "academic", "language": "zh", "oral": "关于这次模型在通用能力上表现，我把那个 ViT 结构稍微调了一下，我觉得我觉得这个方向能跑通，结果 MMLU 跑出来百分之五十二...不对，百分之五十五...等等错了，是百分之五十八！而且 Precision 提升提升了大概百分之三点五，Top one Accuracy 提升提升了百分之二点一，这就证明 E等于mc方 那个理论推导在实际场景里其实有效。", "clean": "关于这次模型在通用能力上的表现，我把ViT结构稍微调了一下，我觉得这个方向能跑通，结果MMLU跑出来58%！而且Precision提升了大概3.5%，Top-1 Accuracy提升了2.1%，这就证明E=mc^2那个理论推导在实际场景里其实有效。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“通用能力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于这次模型在通用能力上的表现"}, {"id": "q002", "category": "content", "question": "output中是否存在“ViT结构”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我把ViT结构稍微调了一下"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之五十八”规范化成了“58%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五十八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 是百分之五十八, clean: 58%"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之三点五”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之三点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之三点五, clean: 3.5%"}, {"id": "q005", "category": "format", "question": "output中是否将“百分之二点一”规范化成了“2.1%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之二点一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之二点一, clean: 2.1%"}, {"id": "q006", "category": "format", "question": "output中是否将“Top one Accuracy”规范化成了“Top-1 Accuracy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Top one Accuracy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Top one Accuracy, clean: Top-1 Accuracy"}, {"id": "q007", "category": "format", "question": "output中是否将“E等于mc方”规范化成了“E=mc^2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“E等于mc方”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: E等于mc方, clean: E=mc^2"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我觉得我觉得, 提升提升了"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“百分之五十二...不对，百分之五十五...等等错了，是百分之五十八”处理成了“58%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之五十二...不对，百分之五十五...等等错了，是百分之五十八, clean: 58%"}]}
{"status": "success", "index": 39, "source_record_id": "recheck.jsonl:48", "source_line": 25, "audio": "audio/academic__recheckjsonl48.wav", "scene": "academic", "language": "zh", "oral": "我觉得比起单纯追求 CIDEr 分数，CIDEr 分数，其实去分析 Attention 权重比那个更关键。这篇论文用数据集是 Common Crawl...不对，LAION...等等错了，是 Common Crawl！而且与其把模型规模堆到...怎么说呢...与其通过增加参数量来提升，不如直接优化 CLIP 这种对齐方式，优化对齐方式。我记得那个采样率是百分之二...不对，百分之五...等等错了，是百分之十！这样对 Sora 这种生成质量提升更明显。", "clean": "我觉得比起单纯追求 CIDEr 分数，其实去分析 Attention 权重比那个更关键。这篇论文用数据集是 Common Crawl！而且与其通过增加参数量来提升，不如直接优化 CLIP 这种对齐方式。我记得那个采样率是 10%！这样对 Sora 这种生成质量提升更明显。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“CIDEr”进行了正确的大小写规范化（首字母大写，其余小写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CIDEr”或“cider”等", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"CIDEr\""}, {"id": "q002", "category": "format", "question": "output中是否将“Attention”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“attention”等", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"Attention\""}, {"id": "q003", "category": "format", "question": "output中是否将“Common Crawl”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“common crawl”等", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"Common Crawl\""}, {"id": "q004", "category": "format", "question": "output中是否将“CLIP”进行了正确的大小写规范化（全大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“clip”等", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"CLIP\""}, {"id": "q005", "category": "format", "question": "output中是否将“Sora”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sora”等", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"Sora\""}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十”", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "clean: \"10%\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“追求分数”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"追求 CIDEr 分数\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“分析权重”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"分析 Attention 权重\""}, {"id": "q009", "category": "content", "question": "output中是否保留了“数据集”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"数据集\""}, {"id": "q010", "category": "content", "question": "output中是否保留了“增加参数量”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"增加参数量\""}, {"id": "q011", "category": "content", "question": "output中是否保留了“优化对齐方式”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"优化 CLIP 这种对齐方式\""}, {"id": "q012", "category": "content", "question": "output中是否保留了“采样率”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"采样率\""}, {"id": "q013", "category": "content", "question": "output中是否保留了“生成质量”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"生成质量\""}, {"id": "q014", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"CIDEr 分数，CIDEr 分数\", \"...怎么说呢...\", \"优化对齐方式，优化对齐方式\""}, {"id": "q015", "category": "rephrase", "question": "output中是否将“Common Crawl...不对，LAION...等等错了，是 Common Crawl”处理成了“Common Crawl”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Common Crawl...不对，LAION...等等错了，是 Common Crawl\", clean: \"Common Crawl\""}, {"id": "q016", "category": "rephrase", "question": "output中是否将“把模型规模堆到...怎么说呢...与其通过增加参数量”处理成了“通过增加参数量”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"把模型规模堆到...怎么说呢...与其通过增加参数量\", clean: \"通过增加参数量\""}, {"id": "q017", "category": "rephrase", "question": "output中是否将“优化 CLIP 这种对齐方式，优化对齐方式”处理成了“优化 CLIP 这种对齐方式”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"优化 CLIP 这种对齐方式，优化对齐方式\", clean: \"优化 CLIP 这种对齐方式\""}, {"id": "q018", "category": "rephrase", "question": "output中是否将“百分之二...不对，百分之五...等等错了，是百分之十”处理成了“百分之十”或“10%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"百分之二...不对，百分之五...等等错了，是百分之十\", clean: \"10%\""}]}
{"status": "success", "index": 40, "source_record_id": "recheck.jsonl:61", "source_line": 31, "audio": "audio/academic__recheckjsonl61.wav", "scene": "academic", "language": "zh", "oral": "说白了，咱们这次对比，对比 DeepSeek V3 和 PaLM 2 主要是看推理能力，嗯，然后把 Sora 和 SAM 2 这种多模态也拉进来跑一遍，我想想啊，指标用 BLEU 四点零，不对，是 BLEU 四点五，看看能不能把性能性能拉上去吧。", "clean": "说白了，咱们这次对比 DeepSeek-V3 和 PaLM 2 主要是看推理能力，然后把 Sora 和 SAM 2 这种多模态也拉进来跑一遍，指标用 BLEU 4.5，看看能不能把性能拉上去吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Sora 和 SAM 2”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把 Sora 和 SAM 2 这种多模态"}, {"id": "q002", "category": "content", "question": "output中是否保留了“推理能力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 主要是看推理能力"}, {"id": "q003", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DeepSeek V3, clean: DeepSeek-V3"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对比，对比 / 嗯 / 我想想啊 / 性能性能"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“BLEU 四点零，不对，是 BLEU 四点五”处理成了“BLEU 4.5”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 指标用 BLEU 四点零，不对，是 BLEU 四点五, clean: 指标用 BLEU 4.5"}]}
{"status": "success", "index": 42, "source_record_id": "recheck.jsonl:66", "source_line": 34, "audio": "audio/academic__recheckjsonl66.wav", "scene": "academic", "language": "zh", "oral": "你说那个 SAM 能不能直接套在 ViT 这种 backbone 上做 PEFT，嗯，我看他论文里写用 DALL E 2...哦不是，是 DALL E 3 做的数据增强，效果提升了百分之十二点五，我觉得可行。", "clean": "你说 SAM 能不能直接套在 ViT 这种 backbone 上做 PEFT，我看他论文里写用 DALL-E 3 做的数据增强，效果提升了 12.5%，我觉得可行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“数据增强”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 做的数据增强"}, {"id": "q002", "category": "content", "question": "output中是否存在“我觉得可行”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我觉得可行"}, {"id": "q003", "category": "format", "question": "output中是否将“ViT”规范化为首字母大写、中间小写的“ViT”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ViT”或“vit”等", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: ViT / clean: ViT"}, {"id": "q004", "category": "format", "question": "output中是否将“PEFT”规范化为全大写的“PEFT”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“PEFT”或“peft”等", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: PEFT / clean: PEFT"}, {"id": "q005", "category": "format", "question": "output中是否将“DALL E 3”规范化为带有连字符的“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL E 3”或“DALL-E 3”等", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: DALL E 3 / clean: DALL-E 3"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十二点五”规范化成了“12.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二点五”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: 百分之十二点五 / clean: 12.5%"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 嗯, 哦不是"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“DALL E 2...哦不是，是 DALL E 3”处理成了“DALL-E 3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: DALL E 2...哦不是，是 DALL E 3 / clean: DALL-E 3"}]}
{"status": "success", "index": 41, "source_record_id": "recheck.jsonl:62", "source_line": 32, "audio": "audio/academic__recheckjsonl62.wav", "scene": "academic", "language": "zh", "oral": "诶，不是你想的那样，其实这不是个 PPO 问题。我想想啊，咱们得看 Recall，Recall 是… Recall 是在百分之八十五…不对，百分之七十五…等等错了，是百分之六十五！就是 DeepSeek V3 用 DPO 也就是 Direct Preference Optimization 解决 解决 这个问题 嘛。", "clean": "不是你想的那样，其实这不是个PPO问题。咱们得看Recall，Recall是在65%！就是DeepSeek-V3用DPO，也就是Direct Preference Optimization解决这个问题嘛。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 我想想啊, 解决 解决"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Recall是在百分之八十五…不对，百分之七十五…等等错了，是百分之六十五”处理成了“Recall是在65%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Recall 是… Recall 是在百分之八十五…不对，百分之七十五…等等错了，是百分之六十五！ -> clean: Recall是在65%！"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之六十五”规范化成了“65%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之六十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之六十五 -> clean: 65%"}, {"id": "q004", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DeepSeek V3 -> clean: DeepSeek-V3"}, {"id": "q005", "category": "content", "question": "output中是否存在“PPO问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 其实这不是个PPO问题"}, {"id": "q006", "category": "content", "question": "output中是否存在“Direct Preference Optimization”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 也就是Direct Preference Optimization"}]}
{"status": "success", "index": 43, "source_record_id": "recheck.jsonl:60", "source_line": 30, "audio": "audio/academic__recheckjsonl60.wav", "scene": "academic", "language": "zh", "oral": "嗯，你们现在投简历，得关注关注多模态。比如你们在面试里聊 Sora 或者 DALL E 3，怎么说呢，不要只说效果好，得聊聊底层逻辑，比如 Stable Diffusion 3 这种架构，架构在什么地方起作用。而且我想想啊，如果你们讨论评估指标，别只盯着 BLEU，要把 METEOR 这种指标拿出来对比对比。其实关于优化器，你们可以用 Adafactor，用 Adafactor 这种省显存方案，其实…或者说，如果你们能证明在内存受限环境下，这个方案能跑通，竞争力就强吧。", "clean": "你们现在投简历，得关注多模态。比如你们在面试里聊 Sora 或者 DALL-E 3，不要只说效果好，得聊聊底层逻辑，比如 Stable Diffusion 3 这种架构，架构在什么地方起作用。而且如果你们讨论评估指标，别只盯着 BLEU，要把 METEOR 这种指标拿出来对比对比。其实关于优化器，你们可以用 Adafactor 这种省显存方案，或者说，如果你们能证明在内存受限环境下，这个方案能跑通，竞争力就强吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“多模态”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 得关注多模态"}, {"id": "q002", "category": "content", "question": "output中是否保留了“底层逻辑”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 得聊聊底层逻辑"}, {"id": "q003", "category": "content", "question": "output中是否保留了“评估指标”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 如果你们讨论评估指标"}, {"id": "q004", "category": "content", "question": "output中是否保留了“BLEU”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 别只盯着 BLEU"}, {"id": "q005", "category": "format", "question": "output中是否将“DALL E 3”规范化成了“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL E 3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DALL E 3, clean: DALL-E 3"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 怎么说呢, 我想想啊, 关注关注, 用 Adafactor，用 Adafactor"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“用 Adafactor，用 Adafactor 这种省显存方案”处理成了“Adafactor 这种省显存方案”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 用 Adafactor，用 Adafactor 这种省显存方案, clean: Adafactor 这种省显存方案"}]}
{"status": "success", "index": 44, "source_record_id": "recheck.jsonl:68", "source_line": 35, "audio": "audio/academic__recheckjsonl68.wav", "scene": "academic", "language": "zh", "oral": "对了，我想想啊，咱们这次投 CVPR 吧，不对，是投 ICCV，反正得把 SAM 2 那个效果给体现出来。我觉得我觉得用 Qwen 2.5 做 prompt 增强应该行，就是 Common Crawl 的数据集 Common Crawl 规模实在太大，可能得先采样百分之十五吧。", "clean": "咱们这次投ICCV，反正得把SAM 2那个效果给体现出来。我觉得用Qwen-2.5做prompt增强应该行，Common Crawl的数据集规模实在太大，可能得先采样15%吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "对了，我想想啊 / 我觉得我觉得 / Common Crawl 的数据集 Common Crawl"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“投 CVPR 吧，不对，是投 ICCV”处理成了“投ICCV”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "投 CVPR 吧，不对，是投 ICCV -> 投ICCV"}, {"id": "q003", "category": "format", "question": "output中是否将“Qwen 2.5”规范化成了“Qwen-2.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Qwen 2.5”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Qwen 2.5 -> Qwen-2.5"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之十五 -> 15%"}, {"id": "q005", "category": "content", "question": "output中是否存在“SAM 2”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "SAM 2"}, {"id": "q006", "category": "content", "question": "output中是否存在“prompt增强”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "prompt增强"}, {"id": "q007", "category": "content", "question": "output中是否存在“Common Crawl”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Common Crawl"}]}
{"status": "success", "index": 46, "source_record_id": "recheck.jsonl:7", "source_line": 37, "audio": "audio/academic__recheckjsonl7.wav", "scene": "academic", "language": "zh", "oral": "我觉得与其继续在这个数据集上做Fine tuning，不如直接试试那个，那个，那那那个PEFT框架，毕竟比单纯调参更高效。我们那个，要是把，怎么说呢，如果把模型规模定在七十亿，不对，十三亿，等等错了，是七十亿参数！其实我我我觉得，比之前那个方案更稳妥，只要把学习率设成零点零零一就行。", "clean": "我觉得与其继续在这个数据集上做Fine-tuning，不如直接试试PEFT框架，毕竟比单纯调参更高效。如果把模型规模定在70亿参数，其实我觉得比之前那个方案更稳妥，只要把学习率设成0.001就行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“PEFT框架”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 不如直接试试PEFT框架"}, {"id": "q002", "category": "format", "question": "output中是否将“Fine tuning”规范化成了“Fine-tuning”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Fine tuning”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Fine tuning; clean: Fine-tuning"}, {"id": "q003", "category": "format", "question": "output中是否将“七十亿”规范化成了“70亿”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“七十亿”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 七十亿; clean: 70亿"}, {"id": "q004", "category": "format", "question": "output中是否将“零点零零一”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点零零一”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点零零一; clean: 0.001"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个，那个，那那那个; 我我我"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“七十亿，不对，十三亿，等等错了，是七十亿参数”处理成了“70亿参数”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 七十亿，不对，十三亿，等等错了，是七十亿参数; clean: 70亿参数"}, {"id": "q007", "category": "content", "question": "output中是否存在“单纯调参”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 毕竟比单纯调参更高效"}]}
{"status": "success", "index": 45, "source_record_id": "recheck.jsonl:64", "source_line": 33, "audio": "audio/academic__recheckjsonl64.wav", "scene": "academic", "language": "zh", "oral": "对了，咱们那个T5，T5模型在跑的时候，如果你用Adafactor，Adafactor优化器的话，内存压力会小很多。哦对了，关于那个指标，我觉得咱们得看Top one Accuracy，Top one Accuracy，不能只盯着METEOR，METEOR这个指标，怎么说呢，如果只看这个的话可能会误导，得综合评估。话说，那个FlashAttention，FlashAttention如果是部署在八块显卡上，那速度应该是，应该是能快三倍左右。", "clean": "咱们T5模型在跑的时候，如果你用Adafactor优化器的话，内存压力会小很多。关于那个指标，我觉得咱们得看Top-1 Accuracy，不能只盯着METEOR这个指标，如果只看这个的话可能会误导，得综合评估。FlashAttention如果是部署在8块显卡上，那速度应该是能快3倍左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了，咱们那个 / T5，T5 / Adafactor，Adafactor / 哦对了 / 怎么说呢 / 话说，那个 / 应该是，应该是"}, {"id": "q002", "category": "format", "question": "output中是否将“Top one Accuracy”规范化成了“Top-1 Accuracy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Top one Accuracy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Top one Accuracy -> clean: Top-1 Accuracy"}, {"id": "q003", "category": "format", "question": "output中是否将“八块”规范化成了“8块”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 八块 -> clean: 8块"}, {"id": "q004", "category": "format", "question": "output中是否将“三倍”规范化成了“3倍”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三倍”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三倍 -> clean: 3倍"}, {"id": "q005", "category": "content", "question": "output中是否存在“T5模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: T5模型"}, {"id": "q006", "category": "content", "question": "output中是否存在“Adafactor优化器”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Adafactor优化器"}, {"id": "q007", "category": "content", "question": "output中是否存在“内存压力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 内存压力"}, {"id": "q008", "category": "content", "question": "output中是否存在“指标”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 指标"}, {"id": "q009", "category": "content", "question": "output中是否存在“METEOR”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: METEOR"}, {"id": "q010", "category": "content", "question": "output中是否存在“误导”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 误导"}, {"id": "q011", "category": "content", "question": "output中是否存在“综合评估”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 综合评估"}, {"id": "q012", "category": "content", "question": "output中是否存在“FlashAttention”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: FlashAttention"}, {"id": "q013", "category": "content", "question": "output中是否存在“速度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 速度"}]}
{"status": "success", "index": 49, "source_record_id": "recheck.jsonl:74", "source_line": 40, "audio": "audio/academic__recheckjsonl74.wav", "scene": "academic", "language": "zh", "oral": "哎呀太离谱了，嗯，用 Direct Preference Optimization 刷出来的 MMLU 竟然涨了百分之十二点五，啊不，是百分之十四点二吧，就是那个 RoPE 结合 MoE 之后，在 T5 架构上表现太稳了呀。", "clean": "太离谱了，用 Direct Preference Optimization 刷出来的 MMLU 竟然涨了 14.2%，RoPE 结合 MoE 之后，在 T5 架构上表现太稳了呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Direct Preference Optimization”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用 Direct Preference Optimization 刷出来的"}, {"id": "q002", "category": "content", "question": "output中是否存在“MMLU”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "MMLU 竟然涨了"}, {"id": "q003", "category": "content", "question": "output中是否存在“RoPE”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "RoPE 结合 MoE"}, {"id": "q004", "category": "content", "question": "output中是否存在“MoE”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "RoPE 结合 MoE"}, {"id": "q005", "category": "content", "question": "output中是否存在“T5”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在 T5 架构上"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十四点二”规范化成了“14.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十四点二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之十四点二 -> 14.2%"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“百分之十二点五，啊不，是百分之十四点二”处理成了“14.2%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "百分之十二点五，啊不，是百分之十四点二吧"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哎呀，嗯，就是那个"}]}
{"status": "success", "index": 48, "source_record_id": "recheck.jsonl:75", "source_line": 41, "audio": "audio/academic__recheckjsonl75.wav", "scene": "academic", "language": "zh", "oral": "说白了，这篇论文在 GLUE 榜单上刷分太猛，嗯，但在 SQuAD 上表现一般，而且作者拿 Grok 1 做对比，不对，应该是拿 T5 做对比，其实在泛化能力这块还是差了一截吧。", "clean": "说白了，这篇论文在 GLUE 榜单上刷分太猛，但在 SQuAD 上表现一般，而且作者拿 T5 做对比，其实在泛化能力这块还是差了一截吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“刷分太猛”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "刷分太猛"}, {"id": "q002", "category": "content", "question": "output中是否保留了“表现一般”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "表现一般"}, {"id": "q003", "category": "content", "question": "output中是否保留了“泛化能力”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "泛化能力"}, {"id": "q004", "category": "content", "question": "output中是否保留了“差了一截”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "差了一截"}, {"id": "q005", "category": "format", "question": "output中是否将“GLUE”规范化成了大写的“GLUE”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“glue”或类似读音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "GLUE"}, {"id": "q006", "category": "format", "question": "output中是否将“SQuAD”规范化成了大小写混合的“SQuAD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“squad”或类似读音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "SQuAD"}, {"id": "q007", "category": "format", "question": "output中是否将“T5”规范化成了大写字母加数字的“T5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“t5”或类似读音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "T5"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“拿 Grok 1 做对比，不对，应该是拿 T5 做对比”处理成了“拿 T5 做对比”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "拿 Grok 1 做对比，不对，应该是拿 T5 做对比 -> 拿 T5 做对比"}]}
{"status": "success", "index": 47, "source_record_id": "recheck.jsonl:69", "source_line": 36, "audio": "audio/academic__recheckjsonl69.wav", "scene": "academic", "language": "zh", "oral": "这次在WikiText上测完发现，CIDEr分数提升了百分之十二点五，不对，应该是百分之八点二。我觉得我觉得这个结果主要是因为引入FlashAttention之后，推理速度快了很多，快了很多。至于IoU指标，我尝试用DALL E 3生成样本去对齐，但DALL E 2，哦不是，DALL E 3生成图像边缘太模糊，导致指标没上去。", "clean": "这次在WikiText上测完发现，CIDEr分数提升了8.2%。我觉得这个结果主要是因为引入FlashAttention之后，推理速度快了很多。至于IoU指标，我尝试用DALL-E 3生成样本去对齐，但DALL-E 3生成图像边缘太模糊，导致指标没上去。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“CIDEr”进行了正确的大小写规范化（如首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: \"CIDEr分数\""}, {"id": "q002", "category": "format", "question": "output中是否将“FlashAttention”进行了正确的驼峰命名规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: \"引入FlashAttention之后\""}, {"id": "q003", "category": "format", "question": "output中是否将“IoU”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: \"至于IoU指标\""}, {"id": "q004", "category": "format", "question": "output中是否将“WikiText”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: \"在WikiText上测完发现\""}, {"id": "q005", "category": "format", "question": "output中是否将“百分之八点二”规范化成了“8.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八点二”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"CIDEr分数提升了8.2%\" / oral: \"应该是百分之八点二\""}, {"id": "q006", "category": "format", "question": "output中是否将“DALL E 3”规范化成了“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL E 3”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"用DALL-E 3生成样本\" / oral: \"DALL E 3\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“百分之十二点五，不对，应该是百分之八点二”处理成了最终结果“百分之八点二”（或“8.2%”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"百分之十二点五，不对，应该是百分之八点二\" / clean: \"8.2%\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“DALL E 2，哦不是，DALL E 3”处理成了最终结果“DALL E 3”（或“DALL-E 3”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"DALL E 2，哦不是，DALL E 3\" / clean: \"DALL-E 3\""}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"我觉得我觉得\", \"快了很多，快了很多\""}, {"id": "q010", "category": "content", "question": "output中是否存在“推理速度快了很多”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"推理速度快了很多\""}, {"id": "q011", "category": "content", "question": "output中是否存在“生成样本去对齐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"生成样本去对齐\""}, {"id": "q012", "category": "content", "question": "output中是否存在“图像边缘太模糊”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"图像边缘太模糊\""}, {"id": "q013", "category": "content", "question": "output中是否存在“指标没上去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"指标没上去\""}]}
{"status": "success", "index": 50, "source_record_id": "recheck.jsonl:71", "source_line": 38, "audio": "audio/academic__recheckjsonl71.wav", "scene": "academic", "language": "zh", "oral": "对了，我想想啊，咱们在 COCO 上跑实验的时候，那个 NDCG 提升了百分之三点二，啊不对，是百分之四点八，这个指标指标其实挺关键吧。然后就是，关于 Mixture of Experts 那个架构，要是能把，怎么说呢，如果把 KV Cache 优化一下，能省不少显存哈。话说 BERT 预训练模型，模型规模现在是五百一十二万，诶，五百一十二万个参数，估计得重新调下学习率呀。", "clean": "咱们在 COCO 上跑实验的时候，NDCG 提升了 4.8%，这个指标其实挺关键吧。然后关于 Mixture of Experts 架构，如果把 KV Cache 优化一下，能省不少显存哈。话说 BERT 预训练模型规模现在是 512 万个参数，估计得重新调下学习率呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“COCO”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们在 COCO 上跑实验的时候"}, {"id": "q002", "category": "content", "question": "output中是否存在“NDCG”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: NDCG 提升了 4.8%"}, {"id": "q003", "category": "content", "question": "output中是否存在“指标其实挺关键”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个指标其实挺关键吧"}, {"id": "q004", "category": "content", "question": "output中是否存在“Mixture of Experts”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于 Mixture of Experts 架构"}, {"id": "q005", "category": "content", "question": "output中是否存在“KV Cache”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果把 KV Cache 优化一下"}, {"id": "q006", "category": "content", "question": "output中是否存在“省不少显存”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 能省不少显存哈"}, {"id": "q007", "category": "content", "question": "output中是否存在“BERT”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 话说 BERT 预训练模型"}, {"id": "q008", "category": "content", "question": "output中是否存在“重新调下学习率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 估计得重新调下学习率呀"}, {"id": "q009", "category": "format", "question": "output中是否将“百分之四点八”规范化成了“4.8%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之四点八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之四点八 / clean: 4.8%"}, {"id": "q010", "category": "format", "question": "output中是否将“五百一十二万”规范化成了“512万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百一十二万 / clean: 512万"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了，我想想啊 / 啊不对 / 指标指标 / 那个 / 怎么说呢 / 诶"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“百分之三点二，啊不对，是百分之四点八”处理成了“4.8%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之三点二，啊不对，是百分之四点八 / clean: 4.8%"}, {"id": "q013", "category": "rephrase", "question": "output中是否将“五百一十二万，诶，五百一十二万个参数”处理成了“512万个参数”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 五百一十二万，诶，五百一十二万个参数 / clean: 512万个参数"}]}
{"status": "success", "index": 51, "source_record_id": "recheck.jsonl:77", "source_line": 43, "audio": "audio/academic__recheckjsonl77.wav", "scene": "academic", "language": "zh", "oral": "嗯，不是说 SAM 没对齐就不能跑，其实是 DeepSeek V3 这种规模模型在 ViT 结构上容易梯度爆炸，怎么说呢，我想想啊，我们在 MS COCO 上测 Top one Accuracy 只有百分之十二点五，吧，应该是学习率设太高了呀。", "clean": "不是说 SAM 没对齐就不能跑，其实是 DeepSeek-V3 这种规模模型在 ViT 结构上容易梯度爆炸，我们在 MS COCO 上测 Top-1 Accuracy 只有 12.5%，应该是学习率设太高了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '嗯，', '怎么说呢，我想想啊，', '，吧', '呀'"}, {"id": "q002", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'DeepSeek V3', clean: 'DeepSeek-V3'"}, {"id": "q003", "category": "format", "question": "output中是否将“Top one Accuracy”规范化成了“Top-1 Accuracy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Top one Accuracy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'Top one Accuracy', clean: 'Top-1 Accuracy'"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十二点五”规范化成了“12.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '百分之十二点五', clean: '12.5%'"}, {"id": "q005", "category": "content", "question": "output中是否存在“SAM没对齐就不能跑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '不是说 SAM 没对齐就不能跑'"}, {"id": "q006", "category": "content", "question": "output中是否存在“在ViT结构上容易梯度爆炸”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '在 ViT 结构上容易梯度爆炸'"}, {"id": "q007", "category": "content", "question": "output中是否存在“我们在MS COCO上测”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '我们在 MS COCO 上测'"}, {"id": "q008", "category": "content", "question": "output中是否存在“应该是学习率设太高了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '应该是学习率设太高了'"}]}
{"status": "success", "index": 52, "source_record_id": "recheck.jsonl:76", "source_line": 42, "audio": "audio/academic__recheckjsonl76.wav", "scene": "academic", "language": "zh", "oral": "嗯，你得先关注一下 Qwen2 怎么处理 KV Cache，然后就是看 CLIP 的 alignment 效果，另外 Accuracy 这块，我想想啊，之前测的是百分之八十二…不对，百分之八十五…等等错了，是百分之八十八！诶，最后还得再把 SAM 2 部署到这个环境里去吧。", "clean": "你得先关注一下 Qwen2 怎么处理 KV Cache，然后看 CLIP 的 alignment 效果，另外 Accuracy 这块，之前测的是 88%！最后还得再把 SAM 2 部署到这个环境里去吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Qwen2 怎么处理 KV Cache”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你得先关注一下 Qwen2 怎么处理 KV Cache"}, {"id": "q002", "category": "content", "question": "output中是否存在“CLIP 的 alignment 效果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 然后看 CLIP 的 alignment 效果"}, {"id": "q003", "category": "content", "question": "output中是否存在“SAM 2 部署到这个环境里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最后还得再把 SAM 2 部署到这个环境里去吧"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之八十八”规范化成了“88%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八十八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 是百分之八十八 / clean: 是 88%"}, {"id": "q005", "category": "format", "question": "output中是否将“KV Cache”正确规范化为“KV Cache”（保持正确的大小写和空格）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: KV Cache / clean: KV Cache"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯 / 我想想啊 / 诶"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“百分之八十二…不对，百分之八十五…等等错了，是百分之八十八”处理成了“88%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 之前测的是百分之八十二…不对，百分之八十五…等等错了，是百分之八十八！ / clean: 之前测的是 88%！"}]}
{"status": "success", "index": 54, "source_record_id": "recheck.jsonl:86", "source_line": 45, "audio": "audio/academic__recheckjsonl86.wav", "scene": "academic", "language": "zh", "oral": "嗯, 我之前投递的时候发现现在的面试官特别在意数据规模, 比如你用的是 Pile 还是 SQuAD 一点零, 哦不是, 是 SQuAD 二点零, 这种数据集做微调, 就是, 现在的趋势是得把 FlashAttention 这种推理加速写进简历里, 怎么说呢, 哪怕只是跑过 DALL E 3 这种模型或者刷过 sacreBLEU 分数吧, 只要能证明你懂工程落地, 机会大很多, 你觉得呢?", "clean": "我之前投递的时候发现现在的面试官特别在意数据规模，比如你用的是 Pile 还是 SQuAD 2.0 这种数据集做微调，现在的趋势是得把 FlashAttention 这种推理加速写进简历里，哪怕只是跑过 DALL-E 3 这种模型或者刷过 sacreBLEU 分数吧，只要能证明你懂工程落地，机会大很多，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 就是, 怎么说呢"}, {"id": "q002", "category": "format", "question": "output中是否将“SQuAD 二点零”规范化成了“SQuAD 2.0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“SQuAD 二点零”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "SQuAD 二点零 -> SQuAD 2.0"}, {"id": "q003", "category": "format", "question": "output中是否将“DALL E 3”规范化成了“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL E 3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "DALL E 3 -> DALL-E 3"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“SQuAD 一点零, 哦不是, 是 SQuAD 二点零”处理成了“SQuAD 2.0”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "SQuAD 一点零, 哦不是, 是 SQuAD 二点零 -> SQuAD 2.0"}, {"id": "q005", "category": "content", "question": "output中是否存在“面试官特别在意数据规模”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "面试官特别在意数据规模"}, {"id": "q006", "category": "content", "question": "output中是否存在“Pile”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Pile"}, {"id": "q007", "category": "content", "question": "output中是否存在“微调”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "微调"}, {"id": "q008", "category": "content", "question": "output中是否存在“FlashAttention”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "FlashAttention"}, {"id": "q009", "category": "content", "question": "output中是否存在“推理加速”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "推理加速"}, {"id": "q010", "category": "content", "question": "output中是否存在“写进简历里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "写进简历里"}, {"id": "q011", "category": "content", "question": "output中是否存在“sacreBLEU”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sacreBLEU"}, {"id": "q012", "category": "content", "question": "output中是否存在“工程落地”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "工程落地"}]}
{"status": "success", "index": 56, "source_record_id": "recheck.jsonl:90", "source_line": 47, "audio": "audio/academic__recheckjsonl90.wav", "scene": "academic", "language": "zh", "oral": "哎呀太夸张了，嗯，Phi 3 居然能通过 Chain of Thought 产生这种推理能力，就是，我们在做 arg max 采样的时候，采样的时候发现，我想想啊，结果结果完全超出了预期，诶，本来以为 DALL E 3 这种规模…其实是说，在视觉生成端才强，结果 Phi 3 竟然也这么猛吧。", "clean": "太夸张了，Phi-3居然能通过Chain of Thought产生这种推理能力，我们在做argmax采样的时候发现，结果完全超出了预期，本来以为DALL-E 3这种规模在视觉生成端才强，结果Phi-3竟然也这么猛吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中的哎呀、嗯、就是、我想想啊、诶、其实是说、采样的时候、结果结果"}, {"id": "q002", "category": "format", "question": "output中是否将“Phi 3”规范化成了“Phi-3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Phi 3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Phi 3 -> Phi-3"}, {"id": "q003", "category": "format", "question": "output中是否将“arg max”规范化成了“argmax”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“arg max”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "arg max -> argmax"}, {"id": "q004", "category": "format", "question": "output中是否将“DALL E 3”规范化成了“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL E 3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "DALL E 3 -> DALL-E 3"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“本来以为 DALL E 3 这种规模…其实是说，在视觉生成端才强”处理成了“本来以为DALL-E 3这种规模在视觉生成端才强”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "本来以为 DALL E 3 这种规模…其实是说，在视觉生成端才强 -> 本来以为DALL-E 3这种规模在视觉生成端才强"}, {"id": "q006", "category": "content", "question": "output中是否存在“产生这种推理能力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "产生这种推理能力"}, {"id": "q007", "category": "content", "question": "output中是否存在“结果完全超出了预期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "结果完全超出了预期"}, {"id": "q008", "category": "content", "question": "output中是否存在“在视觉生成端才强”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在视觉生成端才强"}]}
{"status": "success", "index": 55, "source_record_id": "recheck.jsonl:73", "source_line": 39, "audio": "audio/academic__recheckjsonl73.wav", "scene": "academic", "language": "zh", "oral": "嗯，我之前的研究结论就得出了用 Mixture of Experts 能够显著提升模型在长文本下的泛化能力吧。怎么说呢，主要原因是在引入了 RAG 之后，我们发现传统的 arg max 采样容易导致输出崩塌，啊不对，是导致分布偏移，所以哈，我尝试用 DINOv2 提取的视觉特征来增强对齐。我想想啊，在 HumanEval 上的得分提升了百分之十二点五，也就是在推理能力上得到了明显增强，所以这个方案在实际部署时挺高效的呀。", "clean": "我之前的研究结论得出了用 Mixture of Experts 能够显著提升模型在长文本下的泛化能力。主要原因是在引入了 RAG 之后，我们发现传统的 argmax 采样容易导致分布偏移，所以我尝试用 DINOv2 提取的视觉特征来增强对齐。在 HumanEval 上的得分提升了 12.5%，也就是在推理能力上得到了明显增强，所以这个方案在实际部署时挺高效的。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Mixture of Experts能够显著提升模型在长文本下的泛化能力”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 用 Mixture of Experts 能够显著提升模型在长文本下的泛化能力"}, {"id": "q002", "category": "content", "question": "output中是否保留了“引入了RAG”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 在引入了 RAG 之后"}, {"id": "q003", "category": "format", "question": "output中是否将“arg max”规范化成了“argmax”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“arg max”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: arg max; clean: argmax"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“输出崩塌，啊不对，是导致分布偏移”处理成了“分布偏移”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 输出崩塌，啊不对，是导致分布偏移; clean: 分布偏移"}, {"id": "q005", "category": "content", "question": "output中是否保留了“用DINOv2提取的视觉特征来增强对齐”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 用 DINOv2 提取的视觉特征来增强对齐"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十二点五”规范化成了“12.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十二点五; clean: 12.5%"}, {"id": "q007", "category": "content", "question": "output中是否保留了“在HumanEval上的得分提升，推理能力得到明显增强”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 在 HumanEval 上的得分提升了 12.5%，也就是在推理能力上得到了明显增强"}, {"id": "q008", "category": "content", "question": "output中是否保留了“这个方案在实际部署时挺高效的”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 这个方案在实际部署时挺高效的"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 吧, 怎么说呢, 啊不对, 所以哈, 我想想啊, 呀"}]}
{"status": "success", "index": 58, "source_record_id": "recheck.jsonl:97", "source_line": 51, "audio": "audio/academic__recheckjsonl97.wav", "scene": "academic", "language": "zh", "oral": "你说这次投稿投 CVPR 能不能行？我看了下最近那个 Baseline 提升了百分之十二，哦不是，百分之十五点二，而且我们那个 SOTA 结果在两个数据集上都稳住了，虽然 Ablation Study 还缺一点，但我觉得整体逻辑能跑通，应该可以。", "clean": "你说这次投稿投 CVPR 能不能行？我看了下最近那个 Baseline 提升了15.2%，而且我们那个 SOTA 结果在两个数据集上都稳住了，虽然 Ablation Study 还缺一点，但我觉得整体逻辑能跑通，应该可以。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“SOTA结果在两个数据集上都稳住了”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 而且我们那个 SOTA 结果在两个数据集上都稳住了"}, {"id": "q002", "category": "content", "question": "output中是否保留了“整体逻辑能跑通”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 但我觉得整体逻辑能跑通"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之十五点二”规范化成了“15.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五点二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五点二, clean: 15.2%"}, {"id": "q004", "category": "format", "question": "output中是否将“Ablation Study”保持了正确的大小写形式？", "options": [{"text": "保持了正确的大小写形式", "score": 1}, {"text": "部分大小写错误", "score": 0}, {"text": "全部大小写错误或不存在", "score": -1}], "evidence": "clean: Ablation Study"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦不是"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之十二，哦不是，百分之十五点二”处理成了“15.2%”或“百分之十五点二”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十二，哦不是，百分之十五点二, clean: 15.2%"}]}
{"status": "success", "index": 57, "source_record_id": "recheck.jsonl:91", "source_line": 48, "audio": "audio/academic__recheckjsonl91.wav", "scene": "academic", "language": "zh", "oral": "王教授，嗯，我打算在 baseline 部分对比 BERT 和 DeepSeek V3，然后针对 Diffusion 模型引入 FlashAttention 优化，怎么说呢，我想把 ROUGE 指标提升到百分之二十，啊不对，是百分之二十五吧。", "clean": "王教授，我打算在 baseline 部分对比 BERT 和 DeepSeek-V3，然后针对 Diffusion 模型引入 FlashAttention 优化，我想把 ROUGE 指标提升到 25%。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“王教授”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 王教授"}, {"id": "q002", "category": "content", "question": "output中是否保留了“在 baseline 部分对比 BERT”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 在 baseline 部分对比 BERT"}, {"id": "q003", "category": "content", "question": "output中是否保留了“针对 Diffusion 模型引入 FlashAttention 优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 针对 Diffusion 模型引入 FlashAttention 优化"}, {"id": "q004", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DeepSeek V3, clean: DeepSeek-V3"}, {"id": "q005", "category": "format", "question": "output中是否将“百分之二十五”规范化成了“25%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之二十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之二十五, clean: 25%"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 怎么说呢, 啊不对"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“百分之二十，啊不对，是百分之二十五吧”处理成了“百分之二十五”或“25%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之二十，啊不对，是百分之二十五吧, clean: 25%"}]}
{"status": "success", "index": 59, "source_record_id": "recheck.jsonl:93", "source_line": 49, "audio": "audio/academic__recheckjsonl93.wav", "scene": "academic", "language": "zh", "oral": "王教授, 这篇论文在 CLIP 对齐上做得还行, 但那个预训练语料库规模, 应该是十亿级...不对, 五百亿...等等错了, 是 Common Crawl 规模的！而且他用 Qwen 2 做 backbone 配合 Retrieval Augmented Generation, 在 Cityscapes 验证集上效果波动挺大, 感觉采样策略没对齐。", "clean": "王教授，这篇论文在 CLIP 对齐上做得还行，但预训练语料库规模是 Common Crawl 规模的！而且他用 Qwen-2 做 backbone 配合 Retrieval Augmented Generation，在 Cityscapes 验证集上效果波动挺大，感觉采样策略没对齐。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“CLIP”保持全大写格式？", "options": [{"text": "保持了全大写格式", "score": 1}, {"text": "没有保持全大写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"CLIP\""}, {"id": "q002", "category": "format", "question": "output中是否将“Common Crawl”保持首字母大写格式？", "options": [{"text": "保持了首字母大写格式", "score": 1}, {"text": "没有保持首字母大写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"Common Crawl\""}, {"id": "q003", "category": "format", "question": "output中是否将“Qwen 2”规范化成了“Qwen-2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Qwen 2”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: \"Qwen 2\", clean: \"Qwen-2\""}, {"id": "q004", "category": "format", "question": "output中是否将“Retrieval Augmented Generation”保持首字母大写格式？", "options": [{"text": "保持了首字母大写格式", "score": 1}, {"text": "没有保持首字母大写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"Retrieval Augmented Generation\""}, {"id": "q005", "category": "format", "question": "output中是否将“Cityscapes”保持首字母大写格式？", "options": [{"text": "保持了首字母大写格式", "score": 1}, {"text": "没有保持首字母大写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"Cityscapes\""}, {"id": "q006", "category": "format", "question": "output中是否将“backbone”保持全小写格式？", "options": [{"text": "保持了全小写格式", "score": 1}, {"text": "没有保持全小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: \"backbone\""}, {"id": "q007", "category": "content", "question": "output中是否存在“王教授”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"王教授\""}, {"id": "q008", "category": "content", "question": "output中是否存在“预训练语料库规模”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"预训练语料库规模\""}, {"id": "q009", "category": "content", "question": "output中是否存在“效果波动挺大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"效果波动挺大\""}, {"id": "q010", "category": "content", "question": "output中是否存在“采样策略没对齐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"采样策略没对齐\""}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"那个\", \"...不对, 五百亿...等等错了,\""}, {"id": "q012", "category": "rephrase", "question": "output中是否将“应该是十亿级...不对, 五百亿...等等错了, 是 Common Crawl 规模的！”处理成了“预训练语料库规模是 Common Crawl 规模的！”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"应该是十亿级...不对, 五百亿...等等错了, 是 Common Crawl 规模的！\", clean: \"预训练语料库规模是 Common Crawl 规模的！\""}]}
{"status": "success", "index": 61, "source_record_id": "recheck.jsonl:98", "source_line": 52, "audio": "audio/academic__recheckjsonl98.wav", "scene": "academic", "language": "zh", "oral": "我想把那个，那那那个，Attention机制改成一种，呃，轻量化模型，大概能降三成计算量。", "clean": "我想把Attention机制改成一种轻量化模型，大概能降30%计算量。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "那个，那那那个，呃"}, {"id": "q002", "category": "format", "question": "output中是否将英文单词“attention”规范化成了首字母大写的“Attention”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“attention”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Attention"}, {"id": "q003", "category": "format", "question": "output中是否将“三成”规范化成了“30%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三成”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "三成 -> 30%"}, {"id": "q004", "category": "content", "question": "output中是否存在“轻量化模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "轻量化模型"}, {"id": "q005", "category": "content", "question": "output中是否存在“计算量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "计算量"}]}
{"status": "success", "index": 60, "source_record_id": "recheck.jsonl:88", "source_line": 46, "audio": "audio/academic__recheckjsonl88.wav", "scene": "academic", "language": "zh", "oral": "老师，我打算先是把 Recall at K 重新跑一下，重新跑一下，然后...我想想...如果能把 AUC ROC 曲线画得更漂亮点，再把 Swin Transformer 换成更轻量级模型，最后最后对比一下 Top one Accuracy 和 PPO 调优后结果，这样投顶会机会更大。", "clean": "老师，我打算先把 Recall@K 重新跑一下，然后如果能把 AUC-ROC 曲线画得更漂亮点，再把 Swin Transformer 换成更轻量级模型，最后对比一下 Top-1 Accuracy 和 PPO 调优后结果，这样投顶会机会更大。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Recall at K”规范化成了“Recall@K”？", "options": [{"text": "输出中为“Recall@K”或等价形式", "score": 1}, {"text": "输出中仍为“Recall at K”", "score": 0}, {"text": "输出中不存在“Recall@K”或“Recall at K”", "score": -1}], "evidence": "oral: \"Recall at K\", clean: \"Recall@K\""}, {"id": "q002", "category": "format", "question": "output中是否将“AUC ROC”规范化成了“AUC-ROC”？", "options": [{"text": "输出中为“AUC-ROC”或等价形式", "score": 1}, {"text": "输出中仍为“AUC ROC”", "score": 0}, {"text": "输出中不存在“AUC-ROC”或“AUC ROC”", "score": -1}], "evidence": "oral: \"AUC ROC\", clean: \"AUC-ROC\""}, {"id": "q003", "category": "format", "question": "output中是否将“Top one Accuracy”规范化成了“Top-1 Accuracy”？", "options": [{"text": "输出中为“Top-1 Accuracy”或等价形式", "score": 1}, {"text": "输出中仍为“Top one Accuracy”", "score": 0}, {"text": "输出中不存在“Top-1 Accuracy”或“Top one Accuracy”", "score": -1}], "evidence": "oral: \"Top one Accuracy\", clean: \"Top-1 Accuracy\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"重新跑一下，重新跑一下\", \"我想想\", \"最后最后\"; clean: \"重新跑一下\", \"最后\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“先是把”处理成了“先把”？", "options": [{"text": "进行了相同处理，输出为“先把”", "score": 2}, {"text": "去除了“先是”但没保留“把”，最终结果不完整", "score": 1}, {"text": "仍保留“先是把”，没有进行重新表述", "score": 0}, {"text": "output中不存在“先是把”或“先把”", "score": -1}], "evidence": "oral: \"先是把\", clean: \"先把\""}, {"id": "q006", "category": "content", "question": "output中是否存在“Swin Transformer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"Swin Transformer\", clean: \"Swin Transformer\""}, {"id": "q007", "category": "content", "question": "output中是否存在“PPO”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"PPO\", clean: \"PPO\""}, {"id": "q008", "category": "content", "question": "output中是否存在“更轻量级模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"更轻量级模型\", clean: \"更轻量级模型\""}]}
{"status": "success", "index": 62, "source_record_id": "recheck.jsonl:102", "source_line": 55, "audio": "audio/customer_service__recheckjsonl102.wav", "scene": "customer_service", "language": "en", "oral": "First I cannot log into my account password reset is not working and I just want to cancel my Disney plus subscription. Then I checked order four four nine two one zero and it says item shows as delivered but it's not here. Finally my email is Sally at i cloud dot com", "clean": "First, I cannot log into my account, password reset is not working, and I just want to cancel my Disney+ subscription.\nThen, I checked order 449210 and it says item shows as delivered but it's not here.\nFinally, my email is Sally@icloud.com", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Disney plus”规范化成了“Disney+”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Disney plus”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"cancel my Disney+ subscription\" / oral: \"cancel my Disney plus subscription\""}, {"id": "q002", "category": "format", "question": "output中是否将“four four nine two one zero”规范化成了“449210”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four four nine two one zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"order 449210\" / oral: \"order four four nine two one zero\""}, {"id": "q003", "category": "format", "question": "output中是否将“Sally at i cloud dot com”规范化成了“Sally@icloud.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Sally at i cloud dot com”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"Sally@icloud.com\" / oral: \"Sally at i cloud dot com\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“cannot log into my account”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I cannot log into my account\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“password reset is not working”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"password reset is not working\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“cancel my subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"cancel my Disney+ subscription\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“item shows as delivered but it's not here”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"item shows as delivered but it's not here\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral 中无口语词、犹豫词、重复词或插入语"}]}
{"status": "success", "index": 64, "source_record_id": "recheck.jsonl:99", "source_line": 53, "audio": "audio/academic__recheckjsonl99.wav", "scene": "academic", "language": "zh", "oral": "我觉得与其在这个Baseline上死磕，不如尝试引入Attention机制，毕竟对比实验显示，多头注意力比单一的MLP性能提升了百分之十二，不对，是百分之十五点八。而且如果把，怎么说呢，如果把这个维度从五百一十二调到一千零二十四，可能对收敛速度影响更道。其实在这种高维空间里，比起直接做映射，再考虑一个LORA的低秩分解可能更有效，这样能显著降低显存占用。", "clean": "我觉得与其在这个Baseline上死磕，不如尝试引入Attention机制，毕竟对比实验显示，多头注意力比单一的MLP性能提升了15.8%。而且如果把这个维度从512调到1024，可能对收敛速度影响更大。其实在这种高维空间里，比起直接做映射，再考虑一个LoRA的低秩分解可能更有效，这样能显著降低显存占用。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“低秩分解”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再考虑一个LoRA的低秩分解可能更有效"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之十五点八”规范化成了“15.8%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五点八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五点八; clean: 15.8%"}, {"id": "q003", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: LORA; clean: LoRA"}, {"id": "q004", "category": "format", "question": "output中是否将“五百一十二”和“一千零二十四”分别规范化成了“512”和“1024”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在这些词或规范化结果", "score": -1}], "evidence": "oral: 五百一十二...一千零二十四; clean: 512...1024"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 如果把，怎么说呢，如果把这个维度"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之十二，不对，是百分之十五点八”处理成了最终结果“15.8%”（或“百分之十五点八”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十二，不对，是百分之十五点八; clean: 15.8%"}, {"id": "q007", "category": "content", "question": "output中是否存在“影响更大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 影响更道; clean: 影响更大"}, {"id": "q008", "category": "content", "question": "output中是否存在“多头注意力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 多头注意力比单一的MLP性能提升了15.8%"}]}
{"status": "success", "index": 63, "source_record_id": "recheck.jsonl:95", "source_line": 50, "audio": "audio/academic__recheckjsonl95.wav", "scene": "academic", "language": "zh", "oral": "我觉得我觉得，与其死磕这个 DINOv2 预训练权重，不如直接在 DPO 阶段做对齐。你看这个 NDCG 指标，指标完全没起来，比之前那个版本更低。而且这个求和公式，sum i equals one to n x i，算出来结果是零点五，不对，是零点三二。咱们得思考思考，如果把 IoU 阈值调高，怎么说呢，如果把阈值设在零点七，可能效果会再好一点。现在的收敛速度太慢，慢到根本没法看，得重新检查检查学习率设定得对不对。", "clean": "我觉得与其死磕这个 DINOv2 预训练权重，不如直接在 DPO 阶段做对齐。你看这个 NDCG 指标，指标完全没起来，比之前那个版本更低。而且这个求和公式 $\\sum_{i=1}^{n} x_i$，算出来结果是 0.32。咱们得思考思考，如果把 IoU 阈值调高，如果把阈值设在 0.7，可能效果会再好一点。现在的收敛速度太慢，慢到根本没法看，得重新检查检查学习率设定得对不对。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '我觉得我觉得' / '怎么说呢'"}, {"id": "q002", "category": "format", "question": "output中是否将“sum i equals one to n x i”规范化成了“$\\sum_{i=1}^{n} x_i$”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sum i equals one to n x i”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'sum i equals one to n x i' -> clean: '$\\sum_{i=1}^{n} x_i$'"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“零点五，不对，是零点三二”处理成了“0.32”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '零点五，不对，是零点三二' -> clean: '0.32'"}, {"id": "q004", "category": "format", "question": "output中是否将“零点七”规范化成了“0.7”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点七”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '零点七' -> clean: '0.7'"}, {"id": "q005", "category": "format", "question": "output中是否将“DINOv2”、“DPO”、“NDCG”、“IoU”等专有名词保持了正确的大小写形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在这些词的读音或近似拼写", "score": 0}, {"text": "不存在这些词或规范化错误", "score": -1}], "evidence": "oral/clean: 'DINOv2', 'DPO', 'NDCG', 'IoU'"}, {"id": "q006", "category": "content", "question": "output中是否保留了“死磕预训练权重”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '死磕这个 DINOv2 预训练权重'"}, {"id": "q007", "category": "content", "question": "output中是否保留了“指标完全没起来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '指标完全没起来'"}, {"id": "q008", "category": "content", "question": "output中是否保留了“收敛速度太慢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '收敛速度太慢'"}, {"id": "q009", "category": "content", "question": "output中是否保留了“重新检查学习率设定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '重新检查检查学习率设定得对不对'"}]}
{"status": "success", "index": 65, "source_record_id": "recheck.jsonl:104", "source_line": 56, "audio": "audio/customer_service__recheckjsonl104.wav", "scene": "customer_service", "language": "en", "oral": "Oh my god! I am calling because I want to request a refund for a defective product, specifically for Disney plus. Uh, I mean, I already sent an email to billing dash dept at service dot net but nothing happened. The ticket number is TKT zero zero nine one eight two seven three. I said, TKT zero zero nine one eight two seven three. Just want my money back, ya. Anyway, I appreciate your help, thanks.", "clean": "Oh my god! I am calling because I want to request a refund for a defective product, specifically for Disney+, I already sent an email to billing-dept@service.net but nothing happened. The ticket number is TKT00918273. Just want my money back, ya. Anyway, I appreciate your help, thanks.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“request a refund”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: request a refund"}, {"id": "q002", "category": "content", "question": "output中是否存在“defective product”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: defective product"}, {"id": "q003", "category": "format", "question": "output中是否将“Disney plus”规范化成了“Disney+”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Disney plus”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Disney plus, clean: Disney+"}, {"id": "q004", "category": "format", "question": "output中是否将“billing dash dept at service dot net”规范化成了“billing-dept@service.net”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“billing dash dept at service dot net”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: billing dash dept at service dot net, clean: billing-dept@service.net"}, {"id": "q005", "category": "format", "question": "output中是否将“TKT zero zero nine one eight two seven three”规范化成了“TKT00918273”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“TKT zero zero nine one eight two seven three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: TKT zero zero nine one eight two seven three, clean: TKT00918273"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Uh, I mean; I said, TKT zero zero nine one eight two seven three"}, {"id": "q007", "category": "rephrase", "question": "output中是否去除了重复的“I said, TKT zero zero nine one eight two seven three”并保留了“TKT00918273”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I said, TKT zero zero nine one eight two seven three, clean: TKT00918273"}]}
{"status": "success", "index": 66, "source_record_id": "recheck.jsonl:105", "source_line": 57, "audio": "audio/customer_service__recheckjsonl105.wav", "scene": "customer_service", "language": "en", "oral": "Hi, uh, I'm calling because my Wells Fargo statement looks wrong. I'm not totally sure but I think I was overcharged. I see a charge for sixty four fifteen, but it should be nineteen ninety five. I tried checking my inbox, Linda at yahoo dot co dot uk, but I can't find tracking number in my email, you know, just... I'm just confused why it's sixty four fifteen!", "clean": "Hi, I'm calling because my Wells Fargo statement looks wrong. I'm not totally sure but I think I was overcharged. I see a charge for $64.15, but it should be $19.95. I tried checking my inbox, Linda@yahoo.co.uk, but I can't find the tracking number in my email, I'm just confused why it's $64.15!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Wells Fargo”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Wells Fargo statement; oral: Wells Fargo statement"}, {"id": "q002", "category": "format", "question": "output中是否将“sixty four fifteen”规范化成了“$64.15”？", "options": [{"text": "规范化成了“$64.15”", "score": 1}, {"text": "未规范化，仍为“sixty four fifteen”", "score": 0}, {"text": "不存在“$64.15”或“sixty four fifteen”", "score": -1}], "evidence": "clean: $64.15; oral: sixty four fifteen"}, {"id": "q003", "category": "format", "question": "output中是否将“nineteen ninety five”规范化成了“$19.95”？", "options": [{"text": "规范化成了“$19.95”", "score": 1}, {"text": "未规范化，仍为“nineteen ninety five”", "score": 0}, {"text": "不存在“$19.95”或“nineteen ninety five”", "score": -1}], "evidence": "clean: $19.95; oral: nineteen ninety five"}, {"id": "q004", "category": "format", "question": "output中是否将“Linda at yahoo dot co dot uk”规范化成了“Linda@yahoo.co.uk”？", "options": [{"text": "规范化成了“Linda@yahoo.co.uk”", "score": 1}, {"text": "未规范化，仍为“Linda at yahoo dot co dot uk”", "score": 0}, {"text": "不存在“Linda@yahoo.co.uk”或“Linda at yahoo dot co dot uk”", "score": -1}], "evidence": "clean: Linda@yahoo.co.uk; oral: Linda at yahoo dot co dot uk"}, {"id": "q005", "category": "content", "question": "output中是否保留了“tracking number”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: tracking number; oral: tracking number"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clean: 无; oral: uh, you know, just..."}]}
{"status": "success", "index": 67, "source_record_id": "recheck.jsonl:107", "source_line": 59, "audio": "audio/customer_service__recheckjsonl107.wav", "scene": "customer_service", "language": "en", "oral": "Hi uh I have a question. I bought this thing and I already opened it but I want to return it. I'm not totally sure but I think... I think the box is open. Can I still return it? Also I have this other issue. I need to dispute a transaction I don't recognize. It's for Spotify and maybe Disney plus. Uh the order number is TRK zero zero nine two eight four seven five six. I'm not sure if I'm in right place but if you can't help just call me back at two one two five five five zero one four four. I really need to get this sorted out. I said call me back at two one two five five five zero one four four. Thanks.", "clean": "Hi, I have a question. I bought this thing and I already opened it but I want to return it. I'm not totally sure but I think the box is open. Can I still return it? Also I have this other issue. I need to dispute a transaction I don't recognize. It's for Spotify and maybe Disney+. The order number is TRK009284756. I'm not sure if I'm in the right place but if you can't help just call me back at 212-555-0144. I really need to get this sorted out. Call me back at 212-555-0144. Thanks.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Hi uh I have', 'I think... I think', 'Uh the order number'"}, {"id": "q002", "category": "format", "question": "output中是否将“Disney plus”规范化成了“Disney+”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Disney plus”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'maybe Disney plus' -> clean: 'maybe Disney+'"}, {"id": "q003", "category": "format", "question": "output中是否将“TRK zero zero nine two eight four seven five six”规范化成了“TRK009284756”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“TRK zero zero nine two eight four seven five six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'TRK zero zero nine two eight four seven five six' -> clean: 'TRK009284756'"}, {"id": "q004", "category": "format", "question": "output中是否将“two one two five five five zero one four four”规范化成了“212-555-0144”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two one two five five five zero one four four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'two one two five five five zero one four four' -> clean: '212-555-0144'"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“I said call me back at”处理成了“Call me back at”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'I said call me back at two one two five five five zero one four four.' -> clean: 'Call me back at 212-555-0144.'"}, {"id": "q006", "category": "content", "question": "output中是否存在“dispute a transaction”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'I need to dispute a transaction I don't recognize.'"}, {"id": "q007", "category": "content", "question": "output中是否存在“Spotify”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'It's for Spotify and maybe Disney+.'"}, {"id": "q008", "category": "content", "question": "output中是否存在“get this sorted out”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'I really need to get this sorted out.'"}]}
{"status": "success", "index": 68, "source_record_id": "recheck.jsonl:106", "source_line": 58, "audio": "audio/customer_service__recheckjsonl106.wav", "scene": "customer_service", "language": "en", "oral": "Actually... oh, wait. I just noticed something on my statement. Look, I am getting really frustrated here. I think I was charged twice for the same subscription. Like, the same exact charge twice! And then, get this, my credit card was declined but I have sufficient funds. I know I do. I have like five hundred dollars in there. I mean, I just used it for DoorDash like ten minutes ago and it worked fine. It worked fine! My email is Marcus at email dot com. Can you just check why it says I owe you two hundred forty nine ninety nine? I already paid that. I'm just... I'm just so tired of this. I keep getting the same answer. I need this fixed now. I mean, I really need this fixed now. Please just check the record. My email again is Marcus at email dot com. Let me know if you can see the double charge on the system.", "clean": "I just noticed something on my statement. Look, I am getting really frustrated here. I think I was charged twice for the same subscription. The same exact charge twice! And then, get this, my credit card was declined but I have sufficient funds. I know I do. I have $500 in there. I just used it for DoorDash 10 minutes ago and it worked fine. My email is Marcus@email.com. Can you just check why it says I owe you $249.99? I already paid that. I'm just so tired of this. I keep getting the same answer. I need this fixed now. Please just check the record. My email again is Marcus@email.com. Let me know if you can see the double charge on the system.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually... oh, wait. / It worked fine! It worked fine! / I'm just... I'm just"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred dollars”规范化成了“$500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred dollars / $500"}, {"id": "q003", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten minutes / 10 minutes"}, {"id": "q004", "category": "format", "question": "output中是否将“Marcus at email dot com”规范化成了“Marcus@email.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Marcus at email dot com”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Marcus at email dot com / Marcus@email.com"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred forty nine ninety nine”规范化成了“$249.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred forty nine ninety nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred forty nine ninety nine / $249.99"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“I need this fixed now. I mean, I really need this fixed now.”处理成了“I need this fixed now.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I need this fixed now. I mean, I really need this fixed now. / I need this fixed now."}, {"id": "q007", "category": "content", "question": "output中是否存在“charged twice for the same subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "charged twice for the same subscription"}, {"id": "q008", "category": "content", "question": "output中是否存在“credit card was declined”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "credit card was declined"}, {"id": "q009", "category": "content", "question": "output中是否存在“sufficient funds”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sufficient funds"}, {"id": "q010", "category": "content", "question": "output中是否存在“DoorDash”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "DoorDash"}, {"id": "q011", "category": "content", "question": "output中是否存在“already paid that”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "already paid that"}, {"id": "q012", "category": "content", "question": "output中是否存在“double charge on the system”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "double charge on the system"}]}
{"status": "success", "index": 70, "source_record_id": "recheck.jsonl:113", "source_line": 63, "audio": "audio/customer_service__recheckjsonl113.wav", "scene": "customer_service", "language": "en", "oral": "Hi Sarah, look, I need to update the shipping address for my order, just... I need to update it because it's wrong. My claim number is BKL nine nine two zero three X. My email is sakura at yahoo dot com. The transaction code is TXN nine nine zero two one four four five... oh no, not four four five, it's four four zero. Uh, my phone number is... my phone number is five five five nine eight seven six five four three. I just... I want to make sure it gets to the right place, you know, so it doesn't get lost, ha.", "clean": "Hi Sarah, I need to update the shipping address for my order because it's wrong. My claim number is BKL99203X. My email is sakura@yahoo.com. The transaction code is TXN99021440. My phone number is 555-987-6543. I want to make sure it gets to the right place so it doesn't get lost.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“update the shipping address for my order”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"I need to update the shipping address for my order\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“because it's wrong”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"because it's wrong\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“gets to the right place”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"gets to the right place\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“doesn't get lost”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"doesn't get lost\""}, {"id": "q005", "category": "format", "question": "output中是否将“BKL nine nine two zero three X”规范化成了“BKL99203X”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: \"BKL nine nine two zero three X\", clean: \"BKL99203X\""}, {"id": "q006", "category": "format", "question": "output中是否将“sakura at yahoo dot com”规范化成了“sakura@yahoo.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: \"sakura at yahoo dot com\", clean: \"sakura@yahoo.com\""}, {"id": "q007", "category": "format", "question": "output中是否将“TXN nine nine zero two one four four zero”规范化成了“TXN99021440”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: \"TXN nine nine zero two one four four zero\", clean: \"TXN99021440\""}, {"id": "q008", "category": "format", "question": "output中是否将“five five five nine eight seven six five four three”规范化成了“555-987-6543”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: \"five five five nine eight seven six five four three\", clean: \"555-987-6543\""}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"look\", \"just...\", \"Uh\", \"you know\", \"ha\", \"I need to update it\" (重复), \"my phone number is\" (重复)"}, {"id": "q010", "category": "rephrase", "question": "output中是否去除了“oh no, not four four five”的纠错过程，并保留了最终结果“four four zero”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"four four five... oh no, not four four five, it's four four zero\", clean: \"TXN99021440\""}]}
{"status": "success", "index": 69, "source_record_id": "recheck.jsonl:114", "source_line": 64, "audio": "audio/customer_service__recheckjsonl114.wav", "scene": "customer_service", "language": "en", "oral": "Hi yeah I need to cancel this subscription right now because honestly I received a damaged product. The order number is BKL nine nine two zero three XP. I mean... it was like... if I could just get a refund then we could maybe just call it even but it's one hundred forty seven fifty. One hundred forty seven fifty! And then there is this other thing... the order BLL twenty twenty four seven seven one two... uh... the promotional code isn't applying to my cart. It just... it's not working. I tried... let me see... if you can just fix the code then we could keep the account but honestly I just want out.", "clean": "Hi, I need to cancel this subscription right now because honestly I received a damaged product. The order number is BKL99203XP. If I could just get a refund then we could maybe just call it even, but it's $147.50. $147.50! And then there is this other thing... the order BLL20247712... the promotional code isn't applying to my cart. It's not working. I tried... let me see... if you can just fix the code then we could keep the account, but honestly I just want out.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Hi yeah, I mean... it was like..., uh..., It just..., let me see..."}, {"id": "q002", "category": "format", "question": "output中是否将“BKL nine nine two zero three XP”规范化成了“BKL99203XP”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“BKL nine nine two zero three XP”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: The order number is BKL nine nine two zero three XP. clean: The order number is BKL99203XP."}, {"id": "q003", "category": "rephrase", "question": "output中是否将“I mean... it was like... if I could just get a refund”处理成了“If I could just get a refund”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I mean... it was like... if I could just get a refund clean: If I could just get a refund"}, {"id": "q004", "category": "format", "question": "output中是否将“one hundred forty seven fifty”规范化成了“$147.50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred forty seven fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: it's one hundred forty seven fifty clean: it's $147.50"}, {"id": "q005", "category": "format", "question": "output中是否将“BLL twenty twenty four seven seven one two”规范化成了“BLL20247712”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“BLL twenty twenty four seven seven one two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: the order BLL twenty twenty four seven seven one two clean: the order BLL20247712"}, {"id": "q006", "category": "content", "question": "output中是否存在“cancel this subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I need to cancel this subscription right now"}, {"id": "q007", "category": "content", "question": "output中是否存在“received a damaged product”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I received a damaged product"}, {"id": "q008", "category": "content", "question": "output中是否存在“call it even”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: we could maybe just call it even"}, {"id": "q009", "category": "content", "question": "output中是否存在“promotional code isn't applying to my cart”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the promotional code isn't applying to my cart"}, {"id": "q010", "category": "content", "question": "output中是否存在“fix the code then we could keep the account”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: if you can just fix the code then we could keep the account"}]}
{"status": "success", "index": 71, "source_record_id": "recheck.jsonl:108", "source_line": 60, "audio": "audio/customer_service__recheckjsonl108.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I'm calling because my package arrived totally smashed. I thought it was just the outer box, eh, but the item inside is broken too. The order number is ORD ninety nine twenty one C... no, it's ORD ninety nine twenty one B. The order order number is ORD ninety nine twenty one B. Just, I mean, I spent two hundred fifty four dollars and ten cents on this! The serial number is S four four nine one zero two eight three seven. I tried emailing help desk at service dot org, but no one answered. My phone number is five five five zero one two three four five six, just in case you need to reach me. How do we fix this, ya? I really need a replacement soon, soon. I hope you can help me sort this out, ha.", "clean": "Hi, I'm calling because my package arrived totally smashed. I thought it was just the outer box, but the item inside is broken too. The order number is ORD9921B. I spent $254.10 on this! The serial number is S449102837. I tried emailing help desk at service.org, but no one answered. My phone number is 555-012-3456, just in case you need to reach me. How do we fix this? I really need a replacement soon. I hope you can help me sort this out.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“package arrived totally smashed”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my package arrived totally smashed"}, {"id": "q002", "category": "content", "question": "output中是否存在“item inside is broken”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the item inside is broken too"}, {"id": "q003", "category": "content", "question": "output中是否存在“help desk”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: emailing help desk"}, {"id": "q004", "category": "content", "question": "output中是否存在“replacement”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: need a replacement soon"}, {"id": "q005", "category": "format", "question": "output中是否将“ORD ninety nine twenty one B”规范化成了“ORD9921B”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ORD ninety nine twenty one B”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: The order number is ORD9921B."}, {"id": "q006", "category": "format", "question": "output中是否将“two hundred fifty four dollars and ten cents”规范化成了“$254.10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred fifty four dollars and ten cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: I spent $254.10 on this!"}, {"id": "q007", "category": "format", "question": "output中是否将“S four four nine one zero two eight three seven”规范化成了“S449102837”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S four four nine one zero two eight three seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: The serial number is S449102837."}, {"id": "q008", "category": "format", "question": "output中是否将“service dot org”规范化成了“service.org”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“service dot org”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: help desk at service.org"}, {"id": "q009", "category": "format", "question": "output中是否将“five five five zero one two three four five six”规范化成了“555-012-3456”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five five five zero one two three four five six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: My phone number is 555-012-3456"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: eh, Just, I mean, order order, soon, soon, ya, ha"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“ORD ninety nine twenty one C... no, it's ORD ninety nine twenty one B”处理成了“ORD9921B”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ORD ninety nine twenty one C... no, it's ORD ninety nine twenty one B; clean: ORD9921B"}]}
{"status": "success", "index": 72, "source_record_id": "recheck.jsonl:112", "source_line": 62, "audio": "audio/customer_service__recheckjsonl112.wav", "scene": "customer_service", "language": "en", "oral": "Honestly... I am just so frustrated right now. I just opened my package for order ninety nine two eight four seven one and it is completely smashed. Like, totally ruined. This thing cost twelve hundred dollars! Twelve hundred dollars! I have a ticket number, it is TICKET zero zero nine one eight two five... oh no, sorry, it is zero zero nine one eight two seven. Yeah, that one. I tried calling from my phone, plus one two zero two five five five zero one seven eight, but I just kept getting put on hold. I was even listening to Spotify just to keep my sanity while waiting! Can you just... I don't know, please just tell me how to get a refund or a replacement because this is ridiculous.", "clean": "Honestly, I am just so frustrated right now. I just opened my package for order 9928471 and it is completely smashed. Totally ruined. This thing cost $1,200! I have a ticket number, it is TICKET 0091827. I tried calling from my phone, +1 202-555-0178, but I just kept getting put on hold. I was even listening to Spotify just to keep my sanity while waiting! Can you please just tell me how to get a refund or a replacement because this is ridiculous.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“completely smashed”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"it is completely smashed\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“refund or a replacement”这一诉求？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"how to get a refund or a replacement\""}, {"id": "q003", "category": "format", "question": "output中是否将“ninety nine two eight four seven one”规范化成了“9928471”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: \"order ninety nine two eight four seven one\", clean: \"order 9928471\""}, {"id": "q004", "category": "format", "question": "output中是否将“twelve hundred dollars”规范化成了“$1,200”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: \"twelve hundred dollars\", clean: \"$1,200\""}, {"id": "q005", "category": "format", "question": "output中是否将“plus one two zero two five five five zero one seven eight”规范化成了“+1 202-555-0178”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: \"plus one two zero two five five five zero one seven eight\", clean: \"+1 202-555-0178\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Like, totally ruined.\", \"Twelve hundred dollars! Twelve hundred dollars!\", \"Yeah, that one.\", \"Can you just... I don't know, please just...\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“TICKET zero zero nine one eight two five... oh no, sorry, it is zero zero nine one eight two seven”处理成了“TICKET 0091827”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"TICKET zero zero nine one eight two five... oh no, sorry, it is zero zero nine one eight two seven.\", clean: \"TICKET 0091827\""}]}
{"status": "success", "index": 74, "source_record_id": "recheck.jsonl:116", "source_line": 66, "audio": "audio/customer_service__recheckjsonl116.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I am calling because I saw my bank statement and I was charged twice for the same subscription. It was ninety nine cents... ninety nine cents. And then there is this other charge for three hundred fifteen dollars and seventy five cents. I bought a high end blender, no, a coffee maker, and it arrived completely smashed. I am extremely disappointed, extremely disappointed with the quality. This product is totally broken, so I want to request a full refund for a defective product. I just want my money back to my account, to my account. I hope you can fix this in my bank a count.", "clean": "Hi, I am calling because I saw my bank statement and I was charged twice for the same subscription. It was $0.99. And then there is this other charge for $315.75. I bought a coffee maker, and it arrived completely smashed. I am extremely disappointed with the quality. This product is totally broken, so I want to request a full refund for a defective product. I just want my money back to my account. I hope you can fix this in my bank account.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ninety nine cents”规范化成了“$0.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ninety nine cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: It was ninety nine cents...; clean: It was $0.99."}, {"id": "q002", "category": "format", "question": "output中是否将“three hundred fifteen dollars and seventy five cents”规范化成了“$315.75”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred fifteen dollars and seventy five cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: charge for three hundred fifteen dollars and seventy five cents.; clean: charge for $315.75."}, {"id": "q003", "category": "rephrase", "question": "output中是否将“high end blender, no, a coffee maker”处理成了“coffee maker”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I bought a high end blender, no, a coffee maker; clean: I bought a coffee maker"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ninety nine cents... ninety nine cents. / extremely disappointed, extremely disappointed / to my account, to my account."}, {"id": "q005", "category": "content", "question": "output中是否存在“charged twice for the same subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: I was charged twice for the same subscription.; clean: I was charged twice for the same subscription."}, {"id": "q006", "category": "content", "question": "output中是否存在“arrived completely smashed”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: it arrived completely smashed.; clean: it arrived completely smashed."}, {"id": "q007", "category": "content", "question": "output中是否存在“request a full refund for a defective product”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: I want to request a full refund for a defective product.; clean: I want to request a full refund for a defective product."}, {"id": "q008", "category": "content", "question": "output中是否存在“fix this in my bank account”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: I hope you can fix this in my bank a count.; clean: I hope you can fix this in my bank account."}]}
{"status": "success", "index": 75, "source_record_id": "recheck.jsonl:117", "source_line": 67, "audio": "audio/customer_service__recheckjsonl117.wav", "scene": "customer_service", "language": "en", "oral": "Hi I need help. My representative told me told me my card was sent but I never got it. I am calling Wells Fargo because I lost my credit card. The card number ends in CUST eight eight two nine PL. I really need a replacement replacement card. Also I tried to pay a fee of fifty four dollars and twenty cents but the promo code I entered is not applying to the total. The promo code is not applying. My shipping ID is SHIP nine nine two zero one X. Please check this for me.", "clean": "Hi, I need help. My representative told me my card was sent but I never got it. I am calling Wells Fargo because I lost my credit card. The card number ends in CUST8829PL. I really need a replacement card. Also, I tried to pay a fee of $54.20 but the promo code I entered is not applying to the total. The promo code is not applying. My shipping ID is SHIP99201X. Please check this for me.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Wells Fargo”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I am calling Wells Fargo"}, {"id": "q002", "category": "content", "question": "output中是否保留了“credit card”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "because I lost my credit card"}, {"id": "q003", "category": "content", "question": "output中是否保留了“promo code”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "the promo code I entered"}, {"id": "q004", "category": "format", "question": "output中是否将“CUST eight eight two nine PL”规范化成了“CUST8829PL”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CUST eight eight two nine PL”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "The card number ends in CUST eight eight two nine PL. -> The card number ends in CUST8829PL."}, {"id": "q005", "category": "format", "question": "output中是否将“fifty four dollars and twenty cents”规范化成了“$54.20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifty four dollars and twenty cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "pay a fee of fifty four dollars and twenty cents -> pay a fee of $54.20"}, {"id": "q006", "category": "format", "question": "output中是否将“SHIP nine nine two zero one X”规范化成了“SHIP99201X”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“SHIP nine nine two zero one X”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "My shipping ID is SHIP nine nine two zero one X. -> My shipping ID is SHIP99201X."}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "told me told me, replacement replacement card"}]}
{"status": "success", "index": 73, "source_record_id": "recheck.jsonl:110", "source_line": 61, "audio": "audio/customer_service__recheckjsonl110.wav", "scene": "customer_service", "language": "en", "oral": "Hi, yeah, I'm calling because my friend told me, quote, this place is the best for big groups, end quote, and honestly, I think I think it is. So, uh, I want to book a table for... wait... let me see... for twelve people. Oh, actually, thirteen people! Anyway, we are celebrating a work thing. I tried emailing your team at help desk at service dot org, but no reply. I mean, just, the email is help desk at service dot org. I'm worried about the budget, because my boss said, quote, we have three hundred fifty dollars, end quote, but then he changed it to two hundred fifteen twelve... no, wait, two hundred fifteen dollars and twelve cents. I think that's a bit tight, you know? I mean, I'm used to Spotify prices, not fancy dinners, ha! I just hope we can make it work, you know? I mean, I just... I want to make sure we get a spot, yeah.", "clean": "Hi, yeah, I'm calling because my friend told me, quote, \"this place is the best for big groups,\" end quote, and honestly, I think it is. So, I want to book a table for 13 people. Anyway, we are celebrating a work thing. I tried emailing your team at helpdesk@service.org, but no reply. The email is helpdesk@service.org. I'm worried about the budget, because my boss said, quote, \"we have $350,\" end quote, but then he changed it to $215.12. I think that's a bit tight. I'm used to Spotify prices, not fancy dinners, ha! I just hope we can make it work. I want to make sure we get a spot, yeah.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“this place is the best for big groups”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"this place is the best for big groups\""}, {"id": "q002", "category": "content", "question": "output中是否存在“celebrating a work thing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"celebrating a work thing\""}, {"id": "q003", "category": "content", "question": "output中是否存在“not fancy dinners”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"not fancy dinners\""}, {"id": "q004", "category": "content", "question": "output中是否存在“make sure we get a spot”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"make sure we get a spot\""}, {"id": "q005", "category": "format", "question": "output中是否将“thirteen”规范化成了“13”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirteen”", "score": 0}, {"text": "不存在“thirteen”或“13”", "score": -1}], "evidence": "oral: \"thirteen people\" / clean: \"13 people\""}, {"id": "q006", "category": "format", "question": "output中是否将“help desk at service dot org”规范化成了“helpdesk@service.org”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“help desk at service dot org”", "score": 0}, {"text": "不存在“help desk at service dot org”或“helpdesk@service.org”", "score": -1}], "evidence": "oral: \"help desk at service dot org\" / clean: \"helpdesk@service.org\""}, {"id": "q007", "category": "format", "question": "output中是否将“three hundred fifty dollars”规范化成了“$350”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred fifty dollars”", "score": 0}, {"text": "不存在“three hundred fifty dollars”或“$350”", "score": -1}], "evidence": "oral: \"three hundred fifty dollars\" / clean: \"$350\""}, {"id": "q008", "category": "format", "question": "output中是否将“two hundred fifteen dollars and twelve cents”规范化成了“$215.12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred fifteen dollars and twelve cents”", "score": 0}, {"text": "不存在“two hundred fifteen dollars and twelve cents”或“$215.12”", "score": -1}], "evidence": "oral: \"two hundred fifteen dollars and twelve cents\" / clean: \"$215.12\""}, {"id": "q009", "category": "format", "question": "output中是否将“Spotify”保留了首字母大写的正确拼写格式？", "options": [{"text": "保留了首字母大写", "score": 1}, {"text": "没有首字母大写但拼写正确", "score": 0}, {"text": "拼写错误或缺失", "score": -1}], "evidence": "oral: \"Spotify\" / clean: \"Spotify\""}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"I think I think\", \"uh\", \"wait\", \"you know\""}, {"id": "q011", "category": "rephrase", "question": "output中是否将“for twelve people. Oh, actually, thirteen people!”处理成了“for 13 people”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有“for 13 people”", "score": -1}], "evidence": "oral: \"for twelve people. Oh, actually, thirteen people!\" / clean: \"for 13 people\""}, {"id": "q012", "category": "rephrase", "question": "output中是否将“two hundred fifteen twelve... no, wait, two hundred fifteen dollars and twelve cents”处理成了“$215.12”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有“$215.12”", "score": -1}], "evidence": "oral: \"two hundred fifteen twelve... no, wait, two hundred fifteen dollars and twelve cents\" / clean: \"$215.12\""}]}
{"status": "success", "index": 76, "source_record_id": "recheck.jsonl:115", "source_line": 65, "audio": "audio/customer_service__recheckjsonl115.wav", "scene": "customer_service", "language": "en", "oral": "Yeah hi, I am calling because I need to change my plan. I'm getting really frustrated here. I think I want to move to the basic package... uh... wait, not the basic, the silver plan. Does that sound right to you? Like, I just don't need all these extras. I mean, I have Hulu already so why am I paying for this? And since that... how should I put this... since that software update broke my device connectivity, I just can't even use the service. It's just not working. I saw an email from help dot desk at service dot org saying my bill is sixty five dollars and twenty cents. Wait, was it sixty five twenty... oh no, it was sixty eight twenty. Anyway, do you think we can just lower the monthly cost? I just need some help with this. I hope you can fix this issue for me, I really don't want to switch providers if I don't have too.", "clean": "Yeah hi, I am calling because I need to change my plan. I'm getting really frustrated here. I think I want to move to the silver plan. Does that sound right to you? I just don't need all these extras. I have Hulu already so why am I paying for this? And since that software update broke my device connectivity, I just can't even use the service. It's just not working. I saw an email from help.desk@service.org saying my bill is $68.20. Anyway, do you think we can just lower the monthly cost? I just need some help with this. I hope you can fix this issue for me, I really don't want to switch providers if I don't have to.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“change my plan”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I need to change my plan"}, {"id": "q002", "category": "content", "question": "output中是否保留了“frustrated”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I'm getting really frustrated here"}, {"id": "q003", "category": "content", "question": "output中是否保留了“extras”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I just don't need all these extras"}, {"id": "q004", "category": "content", "question": "output中是否保留了“Hulu”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I have Hulu already"}, {"id": "q005", "category": "content", "question": "output中是否保留了“device connectivity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "broke my device connectivity"}, {"id": "q006", "category": "content", "question": "output中是否保留了“lower the monthly cost”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "lower the monthly cost"}, {"id": "q007", "category": "content", "question": "output中是否保留了“switch providers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "switch providers"}, {"id": "q008", "category": "format", "question": "output中是否将“help dot desk at service dot org”规范化成了“help.desk@service.org”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“help dot desk at service dot org”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "help dot desk at service dot org -> help.desk@service.org"}, {"id": "q009", "category": "format", "question": "output中是否将“sixty eight twenty”规范化成了“$68.20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sixty eight twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "sixty eight twenty -> $68.20"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, Like, I mean, how should I put this"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“basic package... wait, not the basic, the silver plan”处理成了“silver plan”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "basic package... uh... wait, not the basic, the silver plan -> silver plan"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“since that... how should I put this... since that software update”处理成了“since that software update”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "since that... how should I put this... since that software update -> since that software update"}, {"id": "q013", "category": "rephrase", "question": "output中是否去除了“Wait, was it sixty five twenty... oh no, it was sixty eight twenty”这一金额纠错过程？", "options": [{"text": "去除了纠错过程", "score": 2}, {"text": "去除了纠错过程但最终金额不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Wait, was it sixty five twenty... oh no, it was sixty eight twenty"}]}
{"status": "success", "index": 77, "source_record_id": "recheck.jsonl:118", "source_line": 68, "audio": "audio/customer_service__recheckjsonl118.wav", "scene": "customer_service", "language": "en", "oral": "Oh my god! Look, I am calling about Wayfair. I have this pending order, and I need to update shipping address for it. The confirmation number is CONF seven seven three six two one zero. And the shipping ID is SHIP nine nine two eight three seven four one... oh wait, not four one, it is four two. Also, I can't even stay on line because my internet connection has been dropping every hour. Every single hour! I just need this fixed!", "clean": "Oh my god! Look, I am calling about Wayfair. I have this pending order, and I need to update the shipping address for it. The confirmation number is CONF7736210. And the shipping ID is SHIP99283742. Also, I can't even stay on line because my internet connection has been dropping every hour. Every single hour! I just need this fixed!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“wayfair”或类似发音规范化为首字母大写的专有名词“Wayfair”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: Wayfair; clean: Wayfair"}, {"id": "q002", "category": "content", "question": "output中是否存在“pending order”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: pending order; clean: pending order"}, {"id": "q003", "category": "content", "question": "output中是否存在“update shipping address”或“update the shipping address”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: update shipping address; clean: update the shipping address"}, {"id": "q004", "category": "format", "question": "output中是否将“CONF seven seven three six two one zero”规范化成了“CONF7736210”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始读法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: CONF seven seven three six two one zero; clean: CONF7736210"}, {"id": "q005", "category": "format", "question": "output中是否将“SHIP nine nine two eight three seven...”等数字读法规范化成了“SHIP99283742”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始读法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: SHIP nine nine two eight three seven four one...; clean: SHIP99283742"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“four one... oh wait, not four one, it is four two”处理成了“four two”（即去除了纠错过程，保留了最终结果）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: four one... oh wait, not four one, it is four two; clean: SHIP99283742"}, {"id": "q007", "category": "content", "question": "output中是否存在“internet connection has been dropping”或“internet connection dropping”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: internet connection has been dropping; clean: internet connection has been dropping"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: oh wait, not four one, it is four two; clean: (无口语/重复)"}]}
{"status": "success", "index": 78, "source_record_id": "recheck.jsonl:120", "source_line": 70, "audio": "audio/customer_service__recheckjsonl120.wav", "scene": "customer_service", "language": "en", "oral": "Hi Sarah. My internet keeps dropping dropping. I cannot stay connected for more than ten minutes. My account ID number eight eight two seven one zero four four. The router says TRK zero zero nine two eight three seven four six five. Look, I paid three hundred ten twenty five last month and now my bill says one thousand fifty. I mean... it says... wait, it shows one thousand fifty dollars total. That is just wrong wrong. I only signed up for the five ninety nine add on. This is ridiculous!", "clean": "Hi Sarah. My internet keeps dropping. I cannot stay connected for more than 10 minutes. My account ID number 88271044. The router says TRK 0092837465. Look, I paid $310.25 last month and now my bill shows $1,050 total. That is just wrong. I only signed up for the $5.99 add on. This is ridiculous!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“internet keeps dropping”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "My internet keeps dropping dropping. -> My internet keeps dropping."}, {"id": "q002", "category": "content", "question": "output中是否存在“stay connected”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I cannot stay connected for more than ten minutes."}, {"id": "q003", "category": "content", "question": "output中是否存在“account ID number”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "My account ID number eight eight two seven one zero four four."}, {"id": "q004", "category": "content", "question": "output中是否存在“router says”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "The router says TRK zero zero nine two eight three seven four six five."}, {"id": "q005", "category": "content", "question": "output中是否存在“signed up for”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I only signed up for the five ninety nine add on."}, {"id": "q006", "category": "content", "question": "output中是否存在“add on”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I only signed up for the five ninety nine add on."}, {"id": "q007", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten minutes -> 10 minutes"}, {"id": "q008", "category": "format", "question": "output中是否将“eight eight two seven one zero four four”规范化成了“88271044”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight eight two seven one zero four four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eight eight two seven one zero four four -> 88271044"}, {"id": "q009", "category": "format", "question": "output中是否将“TRK zero zero nine two eight three seven four six five”规范化成了“TRK 0092837465”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“TRK zero zero nine two eight three seven four six five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "TRK zero zero nine two eight three seven four six five -> TRK 0092837465"}, {"id": "q010", "category": "format", "question": "output中是否将“three hundred ten twenty five”规范化成了“$310.25”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred ten twenty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "three hundred ten twenty five -> $310.25"}, {"id": "q011", "category": "format", "question": "output中是否将“one thousand fifty”规范化成了“$1,050”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one thousand fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one thousand fifty -> $1,050"}, {"id": "q012", "category": "format", "question": "output中是否将“five ninety nine”规范化成了“$5.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five ninety nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five ninety nine -> $5.99"}, {"id": "q013", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "dropping dropping, wrong wrong, I mean... it says... wait"}, {"id": "q014", "category": "rephrase", "question": "output中是否将“I mean... it says... wait, it shows”处理成了“shows”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I mean... it says... wait, it shows one thousand fifty dollars total. -> shows $1,050 total."}]}
{"status": "success", "index": 79, "source_record_id": "recheck.jsonl:119", "source_line": 69, "audio": "audio/customer_service__recheckjsonl119.wav", "scene": "customer_service", "language": "en", "oral": "Honestly, I am just so frustrated. I got my package but it is totally smashed. I used my Bank of America card for this, and I even tried calling DoorDash but no luck. Uh, my email is billie at yahoo dot co dot uk. The ID number is five five zero two nine three one one. Five five zero two nine three one one. And, just to make things worse, I need to update shipping address for an active order because I am moving. It is just a mess, really.", "clean": "Honestly, I am just so frustrated. I got my package but it is totally smashed. I used my Bank of America card for this, and I even tried calling DoorDash but no luck. My email is billie@yahoo.co.uk. The ID number is 55029311. And, just to make things worse, I need to update the shipping address for an active order because I am moving. It is just a mess, really.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“package totally smashed”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I got my package but it is totally smashed."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Bank of America card”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I used my Bank of America card for this"}, {"id": "q003", "category": "content", "question": "output中是否保留了“DoorDash”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "and I even tried calling DoorDash but no luck"}, {"id": "q004", "category": "content", "question": "output中是否保留了“update shipping address”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I need to update shipping address for an active order"}, {"id": "q005", "category": "format", "question": "output中是否将“billie at yahoo dot co dot uk”规范化成了“billie@yahoo.co.uk”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“billie at yahoo dot co dot uk”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "my email is billie at yahoo dot co dot uk -> My email is billie@yahoo.co.uk."}, {"id": "q006", "category": "format", "question": "output中是否将“five five zero two nine three one one”规范化成了“55029311”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five five zero two nine three one one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "The ID number is five five zero two nine three one one. -> The ID number is 55029311."}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Uh, my email is... / Five five zero two nine three one one. Five five zero two nine three one one."}]}
{"status": "success", "index": 80, "source_record_id": "recheck.jsonl:122", "source_line": 72, "audio": "audio/customer_service__recheckjsonl122.wav", "scene": "customer_service", "language": "en", "oral": "Hi. I am calling because I see some extra charges on my bill. I think there is wrong billing address on invoice, it says something about Wells Fargo but it should be my personal account. And, uh, it is so weird because I tried to check it online but i can't log into my account after resetting the password. Now I am seeing a charge for forty nine ninety nine that looks like a DoorDash order? I never ordered that! Also the item I received is damaged, I mean the car had a huge scratch. Look, if you can just fix these charges then we could just settle this right now. I just want my money back, forty nine ninety nine, just give it back!", "clean": "Hi. I am calling because I see some extra charges on my bill. I think there is a wrong billing address on the invoice; it says something about Wells Fargo but it should be my personal account. And it is so weird because I tried to check it online but I can't log into my account after resetting the password. Now I am seeing a charge for $49.99 that looks like a DoorDash order? I never ordered that! Also the item I received is damaged, the car had a huge scratch. Look, if you can just fix these charges then we could just settle this right now. I just want my money back, $49.99, just give it back!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“extra charges on my bill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I see some extra charges on my bill."}, {"id": "q002", "category": "content", "question": "output中是否存在“wrong billing address”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I think there is wrong billing address on invoice"}, {"id": "q003", "category": "content", "question": "output中是否存在“Wells Fargo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "it says something about Wells Fargo"}, {"id": "q004", "category": "content", "question": "output中是否存在“DoorDash order”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "that looks like a DoorDash order"}, {"id": "q005", "category": "content", "question": "output中是否存在“huge scratch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the car had a huge scratch"}, {"id": "q006", "category": "format", "question": "output中是否将“forty nine ninety nine”规范化成了“$49.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty nine ninety nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "a charge for forty nine ninety nine / a charge for $49.99"}, {"id": "q007", "category": "format", "question": "output中是否将“i can't”中的“i”规范化成了大写的“I”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“i can't”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "i can't log into my account / I can't log into my account"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "And, uh, it is so weird / And it is so weird"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“I mean the car had a huge scratch”处理成了“the car had a huge scratch”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I mean the car had a huge scratch / the car had a huge scratch"}]}
{"status": "success", "index": 81, "source_record_id": "recheck.jsonl:121", "source_line": 71, "audio": "audio/customer_service__recheckjsonl121.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I need a refund for these extra charges on my bill. I mean, I just saw the statement and it's wrong. I rented a car, but somehow I'm seeing charges for... uh... Wayfair? And some Disney plus subscription? It makes no sense. My order number is order seven seven three one zero two. And there is this other code, B L L four four zero two ninety nine. I think... wait, let me see... I think there was a mistake with the account. I received a damaged item in the box... no, that's not right... I mean, the rental agreement was for a standard sedan, not these random things. Please just fix order seven seven three one zero two, okay?", "clean": "Hi, I need a refund for these extra charges on my bill. I just saw the statement and it's wrong. I rented a car, but somehow I'm seeing charges for Wayfair and some Disney+ subscription? It makes no sense. My order number is 773102. And there is this other code, BLL440299. I think there was a mistake with the account. The rental agreement was for a standard sedan, not these random things. Please just fix order 773102, okay?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“refund for these extra charges”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I need a refund for these extra charges on my bill."}, {"id": "q002", "category": "format", "question": "output中是否将“Disney plus”规范化成了“Disney+”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Disney plus”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: And some Disney plus subscription? clean: And some Disney+ subscription?"}, {"id": "q003", "category": "format", "question": "output中是否将“seven seven three one zero two”规范化成了“773102”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven seven three one zero two”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: My order number is order seven seven three one zero two. clean: My order number is 773102."}, {"id": "q004", "category": "format", "question": "output中是否将“B L L four four zero two ninety nine”规范化成了“BLL440299”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“B L L four four zero two ninety nine”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: And there is this other code, B L L four four zero two ninety nine. clean: And there is this other code, BLL440299."}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean, ... uh... ... wait, let me see... ... no, that's not right... clean中已去除这些口语词和犹豫词。"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“I received a damaged item in the box... no, that's not right... I mean, the rental agreement”处理成了“The rental agreement”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I received a damaged item in the box... no, that's not right... I mean, the rental agreement was for a standard sedan... clean: The rental agreement was for a standard sedan..."}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I think... wait, let me see... I think”处理成了“I think”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I think... wait, let me see... I think there was a mistake with the account. clean: I think there was a mistake with the account."}]}
{"status": "success", "index": 84, "source_record_id": "recheck.jsonl:125", "source_line": 75, "audio": "audio/customer_service__recheckjsonl125.wav", "scene": "customer_service", "language": "en", "oral": "Hi Sarah. Look, I am calling because my package never arrived. I am very disappointed with the service. It was supposed to be delivered by... uh... UPS... no, DHL... wait, that's wrong, it was FedEx! And it cost twelve forty nine. Twelve forty nine! Now I can't access streaming content on my smart TV and I think it's related to my T Mobile account. I just want to know where it's at, I've been waiting for days and I can't find the tracking info in my mail. It's just so frustrating, I mean, I really need this fixed right now because I paid for it and it's just not here. I just can't believe this happened in the middle of the week, I just can't.", "clean": "Hi Sarah. Look, I am calling because my package never arrived. I am very disappointed with the service. It was supposed to be delivered by FedEx! And it cost $12.49. Now I can't access streaming content on my smart TV and I think it's related to my T-Mobile account. I just want to know where it's at, I've been waiting for days and I can't find the tracking info in my mail. It's just so frustrating, I really need this fixed right now because I paid for it and it's just not here. I just can't believe this happened in the middle of the week, I just can't.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“package never arrived”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my package never arrived"}, {"id": "q002", "category": "content", "question": "output中是否存在“streaming content”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: access streaming content"}, {"id": "q003", "category": "content", "question": "output中是否存在“tracking info”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: find the tracking info"}, {"id": "q004", "category": "content", "question": "output中是否存在“middle of the week”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: happened in the middle of the week"}, {"id": "q005", "category": "format", "question": "output中是否将“twelve forty nine”规范化成了“$12.49”或“12.49”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve forty nine”或“12.49”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twelve forty nine, clean: $12.49"}, {"id": "q006", "category": "format", "question": "output中是否将“T Mobile”规范化成了“T-Mobile”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T Mobile”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: T Mobile, clean: T-Mobile"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, I mean, Twelve forty nine! Twelve forty nine!"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“UPS... no, DHL... wait, that's wrong, it was FedEx!”处理成了“FedEx”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: UPS... no, DHL... wait, that's wrong, it was FedEx!, clean: FedEx"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“I mean, I really need this fixed”处理成了“I really need this fixed”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I mean, I really need this fixed, clean: I really need this fixed"}]}
{"status": "success", "index": 83, "source_record_id": "recheck.jsonl:124", "source_line": 74, "audio": "audio/customer_service__recheckjsonl124.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I need to change my appointment. I'm very disappointed with this... uh, just the whole scheduling thing. I have order nine nine two eight four seven one, and then order seven seven two one nine four zero, plus I got this T Mobile... wait, I mean, my ID number five five nine two one zero eight. I'm calling from the west garden... I mean, west yuan area, and I need to move it to next Tuesday, like, the twenty first, ya. I'm just really frustrated with how long it takes to get through to you guys, it's just... just too much.", "clean": "Hi, I need to change my appointment. I'm very disappointed with the whole scheduling thing. I have order 9928471, and then order 7721940, plus I got my ID number 5592108. I'm calling from the West Yuan area, and I need to move it to next Tuesday, the 21st. I'm just really frustrated with how long it takes to get through to you guys, it's just too much.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“change my appointment”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: change my appointment"}, {"id": "q002", "category": "content", "question": "output中是否保留了“disappointed with the whole scheduling thing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: disappointed with the whole scheduling thing"}, {"id": "q003", "category": "format", "question": "output中是否将“nine nine two eight four seven one”规范化成了“9928471”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine nine two eight four seven one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: nine nine two eight four seven one; clean: 9928471"}, {"id": "q004", "category": "format", "question": "output中是否将“seven seven two one nine four zero”规范化成了“7721940”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven seven two one nine four zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: seven seven two one nine four zero; clean: 7721940"}, {"id": "q005", "category": "format", "question": "output中是否将“five five nine two one zero eight”规范化成了“5592108”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five five nine two one zero eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five five nine two one zero eight; clean: 5592108"}, {"id": "q006", "category": "format", "question": "output中是否将“the twenty first”规范化成了“the 21st”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“the twenty first”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: the twenty first; clean: the 21st"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, ya, just... just"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“this T Mobile... wait, I mean, my ID number”处理成了“my ID number”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: this T Mobile... wait, I mean, my ID number; clean: my ID number"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“west garden... I mean, west yuan area”处理成了“West Yuan area”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: west garden... I mean, west yuan area; clean: West Yuan area"}, {"id": "q010", "category": "content", "question": "output中是否保留了“frustrated with how long it takes to get through to you guys”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: frustrated with how long it takes to get through to you guys"}]}
{"status": "success", "index": 82, "source_record_id": "recheck.jsonl:123", "source_line": 73, "audio": "audio/customer_service__recheckjsonl123.wav", "scene": "customer_service", "language": "en", "oral": "Hi I am calling about my claim. The agent told me the item shows as delivered but it is not here. It is not here! I mean look... look at the tracking. My claim number is SHIP four four eight two seven one zero... oh no sorry it is SHIP four four eight two seven one one. And my customer ID is CUST ninety nine two eight one X P. I also saw... I noticed... how should I put this... there is an unauthorized transaction on my statement. There is an unauthorized transaction on my statement from Xfinity and I just cannot believe this is happening.", "clean": "Hi, I am calling about my claim. The agent told me the item shows as delivered but it is not here. It is not here! Look at the tracking. My claim number is SHIP4482711. And my customer ID is CUST99281XP. I noticed there is an unauthorized transaction on my statement from Xfinity and I just cannot believe this is happening.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“calling about my claim”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: calling about my claim"}, {"id": "q002", "category": "content", "question": "output中是否保留了“item shows as delivered”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: item shows as delivered"}, {"id": "q003", "category": "content", "question": "output中是否保留了“unauthorized transaction”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: unauthorized transaction"}, {"id": "q004", "category": "format", "question": "output中是否将“SHIP four four eight two seven one one”规范化成了“SHIP4482711”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: SHIP four four eight two seven one one; clean: SHIP4482711"}, {"id": "q005", "category": "format", "question": "output中是否将“CUST ninety nine two eight one X P”规范化成了“CUST99281XP”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: CUST ninety nine two eight one X P; clean: CUST99281XP"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean look... look at the tracking; I also saw... I noticed... how should I put this...; There is an unauthorized transaction on my statement. There is an unauthorized transaction on my statement"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I also saw... I noticed... how should I put this...”处理成了“I noticed”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I also saw... I noticed... how should I put this...; clean: I noticed"}]}
{"status": "success", "index": 85, "source_record_id": "recheck.jsonl:128", "source_line": 77, "audio": "audio/customer_service__recheckjsonl128.wav", "scene": "customer_service", "language": "en", "oral": "Hi, uh, I think I lost my credit card and I need a replacement. I tried logging into Shopify to check my transactions but my password reset email is not arriving. My email is john at outlook dot com. I saw a charge from Hulu... oh no, not Hulu, it was Netflix, and that is why I got worried. Just, I am really stressed right now. I have a reference number here, it is SHIP ninety nine two zero one Y... wait, no, SHIP ninety nine two zero one X. Does that sound right to you? I mean, how long does it usually take to get a new card, right?", "clean": "Hi, I think I lost my credit card and I need a replacement. I tried logging into Shopify to check my transactions but my password reset email is not arriving. My email is john@outlook.com. I saw a charge from Netflix, and that is why I got worried. I am really stressed right now. I have a reference number here, it is SHIP99201X. Does that sound right to you? How long does it usually take to get a new card, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“丢失信用卡并需要补发”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I think I lost my credit card and I need a replacement."}, {"id": "q002", "category": "content", "question": "output中是否保留了“登录Shopify”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I tried logging into Shopify"}, {"id": "q003", "category": "content", "question": "output中是否保留了“密码重置邮件没有收到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my password reset email is not arriving"}, {"id": "q004", "category": "format", "question": "output中是否将“john at outlook dot com”规范化成了“john@outlook.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: john at outlook dot com, clean: john@outlook.com"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“I saw a charge from Hulu... oh no, not Hulu, it was Netflix”处理成了“Netflix”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I saw a charge from Hulu... oh no, not Hulu, it was Netflix, clean: I saw a charge from Netflix"}, {"id": "q006", "category": "content", "question": "output中是否保留了“现在压力很大/非常焦虑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I am really stressed right now."}, {"id": "q007", "category": "format", "question": "output中是否将“SHIP ninety nine two zero one X”规范化成了“SHIP99201X”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: SHIP ninety nine two zero one X, clean: SHIP99201X"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“SHIP ninety nine two zero one Y... wait, no, SHIP ninety nine two zero one X”处理成了最终结果“X”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: SHIP ninety nine two zero one Y... wait, no, SHIP ninety nine two zero one X, clean: SHIP99201X"}, {"id": "q009", "category": "content", "question": "output中是否保留了“通常需要多久拿到新卡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: How long does it usually take to get a new card"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, Just, I mean, oh no"}]}
{"status": "success", "index": 86, "source_record_id": "recheck.jsonl:130", "source_line": 78, "audio": "audio/customer_service__recheckjsonl130.wav", "scene": "customer_service", "language": "en", "oral": "Hi. I just got my package and it's... it's totally smashed. This is completely unacceptable! I'm extremely disappointed with the service. I'm not totally sure but I think... I think the courier just threw it. The total was two hundred fifty dollars and forty cents. Two hundred fifty dollars and forty cents! I also have a Disney plus subscription linked to this account. My email is... my email is cici at outlook dot com.", "clean": "Hi. I just got my package and it's totally smashed. This is completely unacceptable! I'm extremely disappointed with the service. I'm not totally sure but I think the courier just threw it. The total was $250.40. I also have a Disney+ subscription linked to this account. My email is cici@outlook.com.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“包裹完全损坏”（package totally smashed）的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: it's totally smashed / oral: it's... it's totally smashed"}, {"id": "q002", "category": "content", "question": "output中是否保留了“对服务极度失望”（extremely disappointed with the service）的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I'm extremely disappointed with the service."}, {"id": "q003", "category": "content", "question": "output中是否保留了“快递员扔了包裹”（courier threw it）的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: the courier just threw it."}, {"id": "q004", "category": "content", "question": "output中是否保留了“关联到此账户”（linked to this account）的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: linked to this account."}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred fifty dollars and forty cents”规范化成了“$250.40”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该金额或规范化错误", "score": -1}], "evidence": "clean: $250.40 / oral: two hundred fifty dollars and forty cents"}, {"id": "q006", "category": "format", "question": "output中是否将“Disney plus”规范化成了“Disney+”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该专有名词或规范化错误", "score": -1}], "evidence": "clean: Disney+ / oral: Disney plus"}, {"id": "q007", "category": "format", "question": "output中是否将“cici at outlook dot com”规范化成了“cici@outlook.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该邮箱或规范化错误", "score": -1}], "evidence": "clean: cici@outlook.com / oral: cici at outlook dot com"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: it's... it's, I think... I think, my email is... my email is"}]}
{"status": "success", "index": 87, "source_record_id": "recheck.jsonl:131", "source_line": 79, "audio": "audio/customer_service__recheckjsonl131.wav", "scene": "customer_service", "language": "en", "oral": "Hi, yeah, I need to request a refund... I mean, I'm calling because I need to request a refund for a duplicate payment. The order number is, uh, B Z seven seven one zero four two. B Z seven seven one zero four two. And, well, my order hasn't arrived after ten days. Ten days! Plus, I can't log into my account... I tried resetting... I can't log into my account after resetting password. Just to verify, my phone is four one five five five five zero one zero two, just let me know if you got that, ha.", "clean": "Hi, I'm calling because I need to request a refund for a duplicate payment. The order number is BZ771042. And my order hasn't arrived after 10 days. Plus, I can't log into my account after resetting password. Just to verify, my phone is 415-555-0102, just let me know if you got that.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“Hi, yeah, I need to request a refund... I mean, I'm calling because I need to request a refund”处理成了“Hi, I'm calling because I need to request a refund”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Hi, yeah, I need to request a refund... I mean, I'm calling because I need to request a refund\" -> clean: \"Hi, I'm calling because I need to request a refund\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“I can't log into my account... I tried resetting... I can't log into my account after resetting password”处理成了“I can't log into my account after resetting password”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"I can't log into my account... I tried resetting... I can't log into my account after resetting password\" -> clean: \"I can't log into my account after resetting password\""}, {"id": "q003", "category": "format", "question": "output中是否将“B Z seven seven one zero four two”规范化成了“BZ771042”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“B Z seven seven one zero four two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"B Z seven seven one zero four two\" -> clean: \"BZ771042\""}, {"id": "q004", "category": "format", "question": "output中是否将“ten days”规范化成了“10 days”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten days”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ten days\" -> clean: \"10 days\""}, {"id": "q005", "category": "format", "question": "output中是否将“four one five five five five zero one zero two”规范化成了“415-555-0102”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four one five five five five zero one zero two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four one five five five five zero one zero two\" -> clean: \"415-555-0102\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"yeah\", \"uh\", \"well\", \"ha\", 重复的 \"I need to request a refund\", \"B Z seven seven one zero four two\", \"Ten days!\", \"I can't log into my account\" -> clean: 无"}, {"id": "q007", "category": "content", "question": "output中是否存在“request a refund for a duplicate payment”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"request a refund for a duplicate payment\""}, {"id": "q008", "category": "content", "question": "output中是否存在“order hasn't arrived”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"order hasn't arrived\""}]}
{"status": "success", "index": 88, "source_record_id": "recheck.jsonl:133", "source_line": 80, "audio": "audio/customer_service__recheckjsonl133.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I am calling because my subscription didn't cancel and I was billed, I think it was for Amazon, or wait... I mean I have a Wayfair account too, but this is for Amazon. The order number is seven seven three one zero two. I already tried to stop it but it just... it didn't go through. My customer ID is seven seven two zero four nine one one. I just really need to get this refund sorted out.", "clean": "Hi, I am calling because my subscription didn't cancel and I was billed for Amazon. The order number is 773102. I already tried to stop it but it didn't go through. My customer ID is 77204911. I just really need to get this refund sorted out.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“subscription didn't cancel and I was billed”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: my subscription didn't cancel and I was billed"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“I think it was for Amazon, or wait... I mean I have a Wayfair account too, but this is for Amazon”处理成了“billed for Amazon”？", "options": [{"text": "进行了相同处理，去除了自我纠正和干扰信息并保留最终结果", "score": 2}, {"text": "去除了自我纠正过程但最终结果不完整", "score": 1}, {"text": "仍保留了自我纠正或干扰信息", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I think it was for Amazon, or wait... I mean I have a Wayfair account too, but this is for Amazon. clean: billed for Amazon"}, {"id": "q003", "category": "format", "question": "output中是否将订单号“seven seven three one zero two”规范化成了“773102”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven seven three one zero two”", "score": 0}, {"text": "不存在该订单号或规范化结果错误", "score": -1}], "evidence": "oral: seven seven three one zero two clean: 773102"}, {"id": "q004", "category": "content", "question": "output中是否保留了“tried to stop it but it didn't go through”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: tried to stop it but it didn't go through"}, {"id": "q005", "category": "format", "question": "output中是否将客户ID“seven seven two zero four nine one one”规范化成了“77204911”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven seven two zero four nine one one”", "score": 0}, {"text": "不存在该客户ID或规范化结果错误", "score": -1}], "evidence": "oral: seven seven two zero four nine one one clean: 77204911"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: or wait... / it just... it"}, {"id": "q007", "category": "content", "question": "output中是否保留了“get this refund sorted out”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: get this refund sorted out"}]}
{"status": "success", "index": 89, "source_record_id": "recheck.jsonl:134", "source_line": 81, "audio": "audio/customer_service__recheckjsonl134.wav", "scene": "customer_service", "language": "en", "oral": "Can someone tell me why there is a charge on my account? I mean, I just saw it on my Wells Fargo app and I don't recognize it. It says Hulu, it says Hulu for forty nine ninety nine. I'm just really confused about where my money went. Could you please help me with this? This is completely unacceptable. My account number is... account number is four zero two one eight five. I have no Hulu subscription, no Hulu subscription at all. This charge happened on October twelfth.", "clean": "Can someone tell me why there is a charge on my account? I just saw it on my Wells Fargo app and I don't recognize it. It says Hulu for $49.99. I'm just really confused about where my money went. Could you please help me with this? This is completely unacceptable. My account number is 402185. I have no Hulu subscription at all. This charge happened on October 12.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“charge on my account”？", "options": [{"text": "完整或等价保留(1)", "score": 1}, {"text": "部分保留或近似但不完整(0)", "score": 0}, {"text": "缺失或含义相反(-1)", "score": -1}], "evidence": "charge on my account"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Wells Fargo app”？", "options": [{"text": "完整或等价保留(1)", "score": 1}, {"text": "部分保留或近似但不完整(0)", "score": 0}, {"text": "缺失或含义相反(-1)", "score": -1}], "evidence": "Wells Fargo app"}, {"id": "q003", "category": "content", "question": "output中是否保留了“completely unacceptable”？", "options": [{"text": "完整或等价保留(1)", "score": 1}, {"text": "部分保留或近似但不完整(0)", "score": 0}, {"text": "缺失或含义相反(-1)", "score": -1}], "evidence": "completely unacceptable"}, {"id": "q004", "category": "format", "question": "output中是否将“forty nine ninety nine”规范化成了“$49.99”？", "options": [{"text": "进行了相同或合理的规范化(1)", "score": 1}, {"text": "没有进行规范化但存在“forty nine ninety nine”或类似读法(0)", "score": 0}, {"text": "不存在该金额或规范化错误(-1)", "score": -1}], "evidence": "forty nine ninety nine -> $49.99"}, {"id": "q005", "category": "format", "question": "output中是否将“four zero two one eight five”规范化成了“402185”？", "options": [{"text": "进行了相同或合理的规范化(1)", "score": 1}, {"text": "没有进行规范化但存在“four zero two one eight five”或类似读法(0)", "score": 0}, {"text": "不存在该账号或规范化错误(-1)", "score": -1}], "evidence": "four zero two one eight five -> 402185"}, {"id": "q006", "category": "format", "question": "output中是否将“October twelfth”规范化成了“October 12”？", "options": [{"text": "进行了相同或合理的规范化(1)", "score": 1}, {"text": "没有进行规范化但存在“October twelfth”或类似读法(0)", "score": 0}, {"text": "不存在该日期或规范化错误(-1)", "score": -1}], "evidence": "October twelfth -> October 12"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在(2)", "score": 2}, {"text": "仍存在(0)", "score": 0}], "evidence": "I mean, It says Hulu it says Hulu, account number is... account number is, no Hulu subscription no Hulu subscription"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“It says Hulu, it says Hulu for”处理成了“It says Hulu for”？", "options": [{"text": "进行了相同处理(2)", "score": 2}, {"text": "去除了重复语句但最终结果不完整(1)", "score": 1}, {"text": "没有去除重复过程(0)", "score": 0}, {"text": "output中没有相关话语(-1)", "score": -1}], "evidence": "It says Hulu, it says Hulu for -> It says Hulu for"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“My account number is... account number is”处理成了“My account number is”？", "options": [{"text": "进行了相同处理(2)", "score": 2}, {"text": "去除了犹豫/重复语句但最终结果不完整(1)", "score": 1}, {"text": "没有去除犹豫/重复过程(0)", "score": 0}, {"text": "output中没有相关话语(-1)", "score": -1}], "evidence": "My account number is... account number is -> My account number is"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“no Hulu subscription, no Hulu subscription at all”处理成了“no Hulu subscription at all”？", "options": [{"text": "进行了相同处理(2)", "score": 2}, {"text": "去除了重复语句但最终结果不完整(1)", "score": 1}, {"text": "没有去除重复过程(0)", "score": 0}, {"text": "output中没有相关话语(-1)", "score": -1}], "evidence": "no Hulu subscription, no Hulu subscription at all -> no Hulu subscription at all"}]}
{"status": "success", "index": 90, "source_record_id": "recheck.jsonl:127", "source_line": 76, "audio": "audio/customer_service__recheckjsonl127.wav", "scene": "customer_service", "language": "en", "oral": "Hi. I'm calling because I'm not totally sure but I think my subscription was renewed without my permission. My subscription was renewed without my permission and I want a refund. I saw a charge from... Chase... no, Bank of America... wait that's wrong, it's Wells Fargo! It was for... five dollars... no, ten dollars... hold on, it's seven fifty! The order number is... S H I P twenty twenty three ninety nine... no, S H I P twenty twenty four ninety eight... sorry, it's S H I P twenty twenty four ninety nine one! Now I'm just confused if Hulu... if Hulu allows returns for opened items. I really need to know if Hulu allows returns because this was an accident.", "clean": "Hi. I'm calling because I'm not totally sure but I think my subscription was renewed without my permission and I want a refund. I saw a charge from Wells Fargo! It was for $7.50! The order number is SHIP2024991! Now I'm just confused if Hulu allows returns for opened items. I really need to know if Hulu allows returns because this was an accident.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“subscription was renewed without my permission”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "my subscription was renewed without my permission"}, {"id": "q002", "category": "content", "question": "output中是否保留了“want a refund”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I want a refund"}, {"id": "q003", "category": "content", "question": "output中是否保留了“allows returns for opened items”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Hulu allows returns for opened items"}, {"id": "q004", "category": "format", "question": "output中是否将“seven fifty”规范化成了“$7.50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven fifty”或“7.50”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "it's seven fifty -> $7.50"}, {"id": "q005", "category": "format", "question": "output中是否将“S H I P twenty twenty four ninety nine one”规范化成了“SHIP2024991”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S H I P twenty twenty four ninety nine one”或“SHIP2024991”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "it's S H I P twenty twenty four ninety nine one -> SHIP2024991"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "My subscription was renewed without my permission (重复), if Hulu... if Hulu (重复)"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Chase... no, Bank of America... wait that's wrong, it's Wells Fargo!”处理成了“Wells Fargo”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Chase... no, Bank of America... wait that's wrong, it's Wells Fargo! -> Wells Fargo"}]}
{"status": "success", "index": 91, "source_record_id": "recheck.jsonl:138", "source_line": 84, "audio": "audio/customer_service__recheckjsonl138.wav", "scene": "customer_service", "language": "en", "oral": "Hi, uh, I'm calling because I see a charge I didn't make. My husband was like, what is this DoorDash charge for over a thousand dollars? And, well, I think it is a total scam! The amount is one thousand forty five seventy five... one thousand forty five seventy five. And the reference number... it is B L L four four nine two zero zero one... oh no, it is BLL four four nine two zero one one. Just, I don't get it, because I already pay for Spotify every month, so why is there a CONF XJ nine two L charge on here, you know?", "clean": "Hi, I'm calling because I see a charge I didn't make. My husband was, what is this DoorDash charge for over $1,000? And I think it is a total scam! The amount is $1,045.75. And the reference number is BLL4492011. I don't get it, because I already pay for Spotify every month, so why is there a CONF-XJ-92L charge on here?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“a charge I didn't make”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I see a charge I didn't make"}, {"id": "q002", "category": "content", "question": "output中是否保留了“DoorDash charge”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: what is this DoorDash charge"}, {"id": "q003", "category": "content", "question": "output中是否保留了“total scam”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I think it is a total scam"}, {"id": "q004", "category": "content", "question": "output中是否保留了“Spotify”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I already pay for Spotify every month"}, {"id": "q005", "category": "format", "question": "output中是否将“a thousand dollars”规范化成了“$1,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“a thousand dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: over a thousand dollars -> clean: over $1,000"}, {"id": "q006", "category": "format", "question": "output中是否将“one thousand forty five seventy five”规范化成了“$1,045.75”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one thousand forty five seventy five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one thousand forty five seventy five -> clean: $1,045.75"}, {"id": "q007", "category": "format", "question": "output中是否将“BLL four four nine two zero one one”规范化成了“BLL4492011”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“BLL four four nine two zero one one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: BLL four four nine two zero one one -> clean: BLL4492011"}, {"id": "q008", "category": "format", "question": "output中是否将“CONF XJ nine two L”规范化成了“CONF-XJ-92L”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CONF XJ nine two L”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: CONF XJ nine two L -> clean: CONF-XJ-92L"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, was like, well, Just, you know, one thousand forty five seventy five... one thousand forty five seventy five"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“My husband was like, what is this”处理成了“My husband was, what is this”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: My husband was like, what is this -> clean: My husband was, what is this"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“B L L four four nine two zero zero one... oh no, it is BLL four four nine two zero one one”处理成了“BLL4492011”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: B L L four four nine two zero zero one... oh no, it is BLL four four nine two zero one one -> clean: BLL4492011"}]}
{"status": "success", "index": 92, "source_record_id": "recheck.jsonl:137", "source_line": 83, "audio": "audio/customer_service__recheckjsonl137.wav", "scene": "customer_service", "language": "en", "oral": "Hi, yeah, I am calling because I see these extra charges on my bill. Look, I returned the car to the Wayfair... oh no, I mean the Walmart location. And the tracking number... it is not updating at all. The number is T R K zero zero nine two eight four seven five six. Again, T-R-K zero zero nine two eight four seven five six. I mean, if you can just verify it was dropped off on time, then we could just remove these fees, right? Because I received a shattered item in my shipment... wait, sorry, I am reading the wrong paper, I mean the car was clean when I left it. It is just so frustrating that the tracking is not updating. I need this fixed now because it is a lot of money.", "clean": "Hi, I am calling because I see these extra charges on my bill. I returned the car to the Walmart location. And the tracking number is not updating at all. The number is TRK009284756. If you can just verify it was dropped off on time, then we could just remove these fees, right? The car was clean when I left it. It is just so frustrating that the tracking is not updating. I need this fixed now because it is a lot of money.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "yeah, Look, oh no, I mean, Again, wait, sorry, I am reading the wrong paper, I mean"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Wayfair... oh no, I mean the Walmart location”处理成了“Walmart location”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I returned the car to the Wayfair... oh no, I mean the Walmart location. -> I returned the car to the Walmart location."}, {"id": "q003", "category": "rephrase", "question": "output中是否将“received a shattered item... wait, sorry, I am reading the wrong paper, I mean the car was clean”处理成了“the car was clean”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Because I received a shattered item in my shipment... wait, sorry, I am reading the wrong paper, I mean the car was clean when I left it. -> The car was clean when I left it."}, {"id": "q004", "category": "format", "question": "output中是否将“T R K zero zero nine two eight four seven five six”规范化成了“TRK009284756”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T R K zero zero nine...”或类似读法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "T R K zero zero nine two eight four seven five six -> TRK009284756"}, {"id": "q005", "category": "content", "question": "output中是否存在“extra charges on my bill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I see these extra charges on my bill."}, {"id": "q006", "category": "content", "question": "output中是否存在“tracking number is not updating at all”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "And the tracking number is not updating at all."}, {"id": "q007", "category": "content", "question": "output中是否存在“verify it was dropped off on time”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "if you can just verify it was dropped off on time"}, {"id": "q008", "category": "content", "question": "output中是否存在“remove these fees”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "then we could just remove these fees"}, {"id": "q009", "category": "content", "question": "output中是否存在“a lot of money”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "because it is a lot of money."}]}
{"status": "success", "index": 93, "source_record_id": "recheck.jsonl:140", "source_line": 85, "audio": "audio/customer_service__recheckjsonl140.wav", "scene": "customer_service", "language": "en", "oral": "Oh my god! I just got my package and it is completely smashed. Look, the tracking number is T R K zero zero nine two eight three seven four six five. I mean, T R K zero zero nine two eight three seven four six five. It is totally ruined. And also, I tried to use a discount but the promo code isn't applying at checkout. I really need help. Also, I think I need a refund for a subscription I didn't authorize, and I need to update shipping address for a pending order. My order number is C N F eight eight three zero two P L. C N F eight eight three zero two P L.", "clean": "Oh my god! I just got my package and it is completely smashed. Look, the tracking number is TRK0092837465. It is totally ruined. And also, I tried to use a discount but the promo code isn't applying at checkout. I really need help. Also, I think I need a refund for a subscription I didn't authorize, and I need to update the shipping address for a pending order. My order number is CNF88302PL.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“promo code isn't applying at checkout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the promo code isn't applying at checkout"}, {"id": "q002", "category": "content", "question": "output中是否保留了“refund for a subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: a refund for a subscription"}, {"id": "q003", "category": "format", "question": "output中是否将“T R K zero zero nine two eight three seven four six five”规范化成了“TRK0092837465”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: T R K zero zero nine two eight three seven four six five; clean: TRK0092837465"}, {"id": "q004", "category": "format", "question": "output中是否将“C N F eight eight three zero two P L”规范化成了“CNF88302PL”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: C N F eight eight three zero two P L; clean: CNF88302PL"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean, ...; T R K... T R K...; C N F... C N F..."}, {"id": "q006", "category": "rephrase", "question": "output中是否将“I mean, T R K zero zero nine two eight three seven four six five. I mean, T R K zero zero nine two eight three seven four six five.”处理成了去除“I mean”和重复过程，直接保留最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I mean, T R K zero zero nine two eight three seven four six five. I mean, T R K zero zero nine two eight three seven four six five.; clean: TRK0092837465"}]}
{"status": "success", "index": 96, "source_record_id": "recheck.jsonl:146", "source_line": 89, "audio": "audio/customer_service__recheckjsonl146.wav", "scene": "customer_service", "language": "en", "oral": "Honestly, I am just panicking right now. I lost my Wells Fargo card and I see a charge for one thousand four hundred fifty dollars and seventy five cents that I did not make! It is order seven seven two one nine four zero. Just... uh... I need this stopped. Could you please help me with this? I mean, if you cannot fix it, I want to cancel my membership immediately. I really do!", "clean": "Honestly, I am just panicking right now. I lost my Wells Fargo card and I see a charge for $1,450.75 that I did not make! It is order 7721940. I need this stopped. Could you please help me with this? If you cannot fix it, I want to cancel my membership immediately. I really do!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Wells Fargo card”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I lost my Wells Fargo card"}, {"id": "q002", "category": "format", "question": "output中是否将“one thousand four hundred fifty dollars and seventy five cents”规范化成了“$1,450.75”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one thousand four hundred fifty dollars and seventy five cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "a charge for one thousand four hundred fifty dollars and seventy five cents -> $1,450.75"}, {"id": "q003", "category": "format", "question": "output中是否将“seven seven two one nine four zero”规范化成了“7721940”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven seven two one nine four zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "It is order seven seven two one nine four zero. -> It is order 7721940."}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Just... uh... / I mean,"}, {"id": "q005", "category": "content", "question": "output中是否存在“cancel my membership immediately”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I want to cancel my membership immediately."}]}
{"status": "success", "index": 94, "source_record_id": "recheck.jsonl:142", "source_line": 86, "audio": "audio/customer_service__recheckjsonl142.wav", "scene": "customer_service", "language": "en", "oral": "Sarah, look, I can't log into my account after the password reset, and just... wait... I mean, the whole thing is just a mess. I need to request a refund for a defective product, it was two hundred dollars... oh no, it was two hundred ten dollars. Like, my promo code isn't working at checkout, and I just want a simple answer, you know? I've been on hold for ten minutes and I'm just... how should I put it... I'm just really frustrated that this is happening again, ya. I just want my money back in my bank account, just... really quickly, ha.", "clean": "Sarah, I can't log into my account after the password reset, and the whole thing is just a mess. I need to request a refund for a defective product, it was $210. My promo code isn't working at checkout, and I just want a simple answer. I've been on hold for 10 minutes and I'm just really frustrated that this is happening again. I just want my money back in my bank account really quickly.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“密码重置后无法登录账户”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: I can't log into my account after the password reset; clean: I can't log into my account after the password reset"}, {"id": "q002", "category": "content", "question": "output中是否保留了“为缺陷产品申请退款”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: request a refund for a defective product; clean: request a refund for a defective product"}, {"id": "q003", "category": "content", "question": "output中是否保留了“促销代码在结账时无法使用”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: my promo code isn't working at checkout; clean: My promo code isn't working at checkout"}, {"id": "q004", "category": "content", "question": "output中是否保留了“将钱退回我的银行账户”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: my money back in my bank account; clean: my money back in my bank account"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred ten dollars”规范化成了“$210”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred ten dollars”", "score": 0}, {"text": "不存在该金额或规范化结果错误", "score": -1}], "evidence": "oral: two hundred ten dollars; clean: $210"}, {"id": "q006", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在该时长或规范化结果错误", "score": -1}], "evidence": "oral: ten minutes; clean: 10 minutes"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: look, just... wait... I mean, Like, you know?, ya, ha"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“it was two hundred dollars... oh no, it was two hundred ten dollars”处理成了最终金额“$210”或“210 dollars”？", "options": [{"text": "进行了相同处理，保留最终结果且删掉纠错过程", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定或纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: it was two hundred dollars... oh no, it was two hundred ten dollars.; clean: it was $210."}, {"id": "q009", "category": "rephrase", "question": "output中是否将“and just... wait... I mean, the whole thing is just a mess”处理成了“the whole thing is just a mess”？", "options": [{"text": "进行了相同处理，保留最终结果且删掉犹豫或重新表述过程", "score": 2}, {"text": "去除了犹豫语句但最终结果不完整", "score": 1}, {"text": "仍保留犹豫或重新表述过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: and just... wait... I mean, the whole thing is just a mess.; clean: and the whole thing is just a mess."}]}
{"status": "success", "index": 95, "source_record_id": "recheck.jsonl:135", "source_line": 82, "audio": "audio/customer_service__recheckjsonl135.wav", "scene": "customer_service", "language": "en", "oral": "Hi, yeah, I am calling because my flight was just canceled and I am really disappointed with the service. My email is john dot doe underscore ninety nine at outlook dot com. I mean, if you can find another seat for me today, then we could avoid me spending night in hotel. Oh, wait, my confirmation number is alpha bravo seven... oh no, it is alpha bravo nine. I appreciate your help with this, John. But seriously, like, the item I received is damaged and the box was open... wait, sorry, I am reading the wrong note, I meant my luggage was damaged on the last leg. And also, the promotional code I entered is not applying to my cart, so I just want that sorted out, you know?", "clean": "Hi, I am calling because my flight was just canceled and I am really disappointed with the service. My email is john.doe_99@outlook.com. If you can find another seat for me today, then we could avoid me spending a night in a hotel. My confirmation number is alpha bravo 9. I appreciate your help with this, John. But seriously, the luggage was damaged on the last leg. And also, the promotional code I entered is not applying to my cart, so I just want that sorted out.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中的口语词和插入语包括：yeah, I mean, Oh, wait, oh no, like, wait, sorry, you know"}, {"id": "q002", "category": "format", "question": "output中是否将“john dot doe underscore ninety nine at outlook dot com”规范化成了“john.doe_99@outlook.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“john dot doe underscore ninety nine at outlook dot com”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: My email is john dot doe underscore ninety nine at outlook dot com. -> clean: My email is john.doe_99@outlook.com."}, {"id": "q003", "category": "format", "question": "output中是否将“alpha bravo nine”规范化成了“alpha bravo 9”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“alpha bravo nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: it is alpha bravo nine. -> clean: My confirmation number is alpha bravo 9."}, {"id": "q004", "category": "rephrase", "question": "output中是否将“alpha bravo seven... oh no, it is alpha bravo nine”处理成了“alpha bravo 9”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: my confirmation number is alpha bravo seven... oh no, it is alpha bravo nine. -> clean: My confirmation number is alpha bravo 9."}, {"id": "q005", "category": "rephrase", "question": "output中是否将“the item I received is damaged and the box was open... wait, sorry, I am reading the wrong note, I meant my luggage was damaged on the last leg”处理成了“the luggage was damaged on the last leg”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: the item I received is damaged and the box was open... wait, sorry, I am reading the wrong note, I meant my luggage was damaged on the last leg. -> clean: the luggage was damaged on the last leg."}, {"id": "q006", "category": "content", "question": "output中是否存在“航班被取消且对服务感到失望”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my flight was just canceled and I am really disappointed with the service"}, {"id": "q007", "category": "content", "question": "output中是否存在“今天如果能找到另一个座位，就能避免在酒店过夜”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: If you can find another seat for me today, then we could avoid me spending a night in a hotel"}, {"id": "q008", "category": "content", "question": "output中是否存在“感谢John的帮助”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I appreciate your help with this, John"}, {"id": "q009", "category": "content", "question": "output中是否存在“输入的促销码无法应用到购物车，希望解决”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the promotional code I entered is not applying to my cart, so I just want that sorted out"}]}
{"status": "success", "index": 97, "source_record_id": "recheck.jsonl:145", "source_line": 88, "audio": "audio/customer_service__recheckjsonl145.wav", "scene": "customer_service", "language": "en", "oral": "I was just looking at my statement and I see two charges from AirBnB. One for sixty four twenty and another for seventy four twenty five. I mean I'm extremely disappointed in the service, extremely disappointed in the service because I never even made those bookings. My phone number... my phone number is plus one three ten five five five zero one one five... oh no, it's zero one one two. Anyway, I think my card got stolen. I need you to cancel my card and send me a replacement card.", "clean": "I was just looking at my statement and I see two charges from Airbnb. One for $64.20 and another for $74.25. I'm extremely disappointed in the service because I never even made those bookings. My phone number is +1 310-555-0112. Anyway, I think my card got stolen. I need you to cancel my card and send me a replacement card.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“looking at my statement”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: looking at my statement"}, {"id": "q002", "category": "content", "question": "output中是否保留了“two charges”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: two charges"}, {"id": "q003", "category": "content", "question": "output中是否保留了“never even made those bookings”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: never even made those bookings"}, {"id": "q004", "category": "content", "question": "output中是否保留了“card got stolen”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: card got stolen"}, {"id": "q005", "category": "content", "question": "output中是否保留了“cancel my card”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: cancel my card"}, {"id": "q006", "category": "content", "question": "output中是否保留了“send me a replacement card”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: send me a replacement card"}, {"id": "q007", "category": "format", "question": "output中是否将“sixty four twenty”规范化成了“$64.20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: sixty four twenty; clean: $64.20"}, {"id": "q008", "category": "format", "question": "output中是否将“seventy four twenty five”规范化成了“$74.25”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: seventy four twenty five; clean: $74.25"}, {"id": "q009", "category": "format", "question": "output中是否将“AirBnB”规范化成了“Airbnb”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: AirBnB; clean: Airbnb"}, {"id": "q010", "category": "format", "question": "output中是否将电话号码规范化成了“+1 310-555-0112”或类似合理格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: plus one three ten five five five zero one one five... oh no, it's zero one one two; clean: +1 310-555-0112"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean, extremely disappointed in the service, extremely disappointed in the service, my phone number... my phone number, oh no"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“plus one three ten five five five zero one one five... oh no, it's zero one one two”处理成了最终正确的电话号码并去除了纠错过程？", "options": [{"text": "保留了最终结果且删掉了纠错过程", "score": 2}, {"text": "删掉了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: plus one three ten five five five zero one one five... oh no, it's zero one one two; clean: +1 310-555-0112"}, {"id": "q013", "category": "rephrase", "question": "output中是否将“extremely disappointed in the service, extremely disappointed in the service”处理成了“extremely disappointed in the service”并去除了重复？", "options": [{"text": "保留了最终结果且删掉了重复过程", "score": 2}, {"text": "删掉了重复过程但最终结果不完整", "score": 1}, {"text": "仍保留了重复过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: extremely disappointed in the service, extremely disappointed in the service; clean: extremely disappointed in the service"}]}
{"status": "success", "index": 99, "source_record_id": "recheck.jsonl:148", "source_line": 90, "audio": "audio/customer_service__recheckjsonl148.wav", "scene": "customer_service", "language": "en", "oral": "Hi, look, I'm extremely disappointed with this service. I'm not totally sure but I think... I think my promotional code isn't working. I tried it on Shopify, yeah, but it just won't go through. The order number... order number is Bravo eight eight two seven three one zero. I paid via PayPal, PayPal, and I just... how should I put it, just want this fixed now!", "clean": "Hi, I'm extremely disappointed with this service. I'm not totally sure but I think my promotional code isn't working. I tried it on Shopify, but it just won't go through. The order number is B8827310. I paid via PayPal, and I just want this fixed now!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“promotional code”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my promotional code isn't working"}, {"id": "q002", "category": "content", "question": "output中是否存在“extremely disappointed”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I'm extremely disappointed"}, {"id": "q003", "category": "format", "question": "output中是否将“Bravo eight eight two seven three one zero”规范化成了“B8827310”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Bravo eight eight two seven three one zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Bravo eight eight two seven three one zero, clean: B8827310"}, {"id": "q004", "category": "format", "question": "output中是否保留了首字母大写的“Shopify”？", "options": [{"text": "保留了首字母大写的“Shopify”", "score": 1}, {"text": "没有首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: I tried it on Shopify"}, {"id": "q005", "category": "format", "question": "output中是否保留了首字母大写的“PayPal”？", "options": [{"text": "保留了首字母大写的“PayPal”", "score": 1}, {"text": "没有首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: I paid via PayPal"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: look, I think... I think, yeah, order number... order number, PayPal, PayPal, how should I put it"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I just... how should I put it, just want”处理成了“I just want”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I just... how should I put it, just want, clean: I just want"}]}
{"status": "success", "index": 100, "source_record_id": "recheck.jsonl:150", "source_line": 91, "audio": "audio/customer_service__recheckjsonl150.wav", "scene": "customer_service", "language": "en", "oral": "Actually, uh, I just noticed some weird fees on my statement. Like, there is a charge for... how should I put it... some kind of Spotify subscription? I never signed up for that! My booking number was B L L nine nine two eight three seven four... oh no, wait, it is B K L four four one zero nine two. Anyway, just check my email at my email at yahoo dot co dot u k, yeah. And the receipt number, just to be sure, it is S four four nine one zero two eight three seven. I mean, I just want this fixed, okay? It is just... so annoying, right?", "clean": "I just noticed some weird fees on my statement. There is a charge for some Spotify subscription? I never signed up for that! My booking number was BKL441092. Anyway, just check my email at yahoo.co.uk. And the receipt number, just to be sure, it is S449102837. I just want this fixed, okay? It is just so annoying, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“weird fees on my statement”或等价含义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I just noticed some weird fees on my statement."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Spotify subscription”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "There is a charge for some Spotify subscription?"}, {"id": "q003", "category": "content", "question": "output中是否保留了“never signed up for that”或等价含义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I never signed up for that!"}, {"id": "q004", "category": "content", "question": "output中是否保留了“just want this fixed”或等价含义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I just want this fixed, okay?"}, {"id": "q005", "category": "format", "question": "output中是否将预订号规范化成了“BKL441092”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "My booking number was BKL441092."}, {"id": "q006", "category": "format", "question": "output中是否将邮箱后缀规范化成了“yahoo.co.uk”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "check my email at yahoo.co.uk."}, {"id": "q007", "category": "format", "question": "output中是否将收据号规范化成了“S449102837”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "the receipt number... is S449102837."}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, uh, Like, how should I put it, oh no, wait, my email at my email at, yeah, I mean"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“My booking number was B L L... oh no, wait, it is B K L...”处理成了最终的预订号，去除了纠错过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "My booking number was B L L nine nine two eight three seven four... oh no, wait, it is B K L four four one zero nine two."}]}
{"status": "success", "index": 101, "source_record_id": "recheck.jsonl:161", "source_line": 95, "audio": "audio/customer_service__recheckjsonl161.wav", "scene": "customer_service", "language": "en", "oral": "Hi uh I am calling about my bill. The billing cycle is inconsistent and... it is like... actually my billing is all messed up. I cannot access my cloud storage either. My number is plus one seven zero two five five five zero one three three. Wait... no... I mean plus one six one seven five five five zero one seven seven. I keep seeing Steam charges too!", "clean": "Hi, I am calling about my bill. The billing cycle is inconsistent and my billing is all messed up. I cannot access my cloud storage either. My number is +1 617 555 0177. I keep seeing Steam charges too!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“cloud storage”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I cannot access my cloud storage either.\""}, {"id": "q002", "category": "content", "question": "output中是否存在“billing cycle”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"The billing cycle is inconsistent\""}, {"id": "q003", "category": "format", "question": "output中是否将电话号码规范化成了“+1 617 555 0177”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“plus one six one seven...”等原始说法", "score": 0}, {"text": "不存在该电话号码或规范化错误", "score": -1}], "evidence": "oral: \"plus one six one seven five five five zero one seven seven\", clean: \"+1 617 555 0177\""}, {"id": "q004", "category": "format", "question": "output中是否将“Steam”首字母大写？", "options": [{"text": "正确首字母大写为“Steam”", "score": 1}, {"text": "未首字母大写（如“steam”）", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: \"Steam\", clean: \"Steam\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh\", \"it is like... actually\", clean: 无"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“plus one seven zero two... Wait... no... I mean plus one six one seven...”处理成了最终的电话号码“+1 617 555 0177”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"My number is plus one seven zero two... Wait... no... I mean plus one six one seven...\", clean: \"My number is +1 617 555 0177.\""}]}
{"status": "success", "index": 102, "source_record_id": "recheck.jsonl:151", "source_line": 92, "audio": "audio/customer_service__recheckjsonl151.wav", "scene": "customer_service", "language": "en", "oral": "Hi Sarah, I am calling because I want to request a full refund for my last purchase. Look, I just saw some extra charges and it is not right. I want a full refund, seriously. The tracking number is T R K seven seven three two one zero nine eight five. That is T R K seven seven three two one zero nine eight five. I also need to update shipping address for open order, it is for Xfinity, order number S H I P eight eight two nine one zero zero four. Again, S H I P eight eight two nine one zero zero four.", "clean": "Hi Sarah, I am calling because I want to request a full refund for my last purchase. Look, I just saw some extra charges and it is not right. I want a full refund, seriously. The tracking number is TRK773210985. I also need to update the shipping address for the open order, it is for Xfinity, order number SHIP88291004.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“full refund”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I want to request a full refund"}, {"id": "q002", "category": "content", "question": "output中是否保留了“extra charges”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I just saw some extra charges"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Xfinity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "it is for Xfinity"}, {"id": "q004", "category": "format", "question": "output中是否将“T R K seven seven three two one zero nine eight five”规范化成了“TRK773210985”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T R K seven seven three two one zero nine eight five”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "The tracking number is T R K seven seven three two one zero nine eight five."}, {"id": "q005", "category": "format", "question": "output中是否将“S H I P eight eight two nine one zero zero four”规范化成了“SHIP88291004”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S H I P eight eight two nine one zero zero four”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "order number S H I P eight eight two nine one zero zero four."}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "That is T R K seven seven three two one zero nine eight five. / Again, S H I P eight eight two nine one zero zero four."}]}
{"status": "success", "index": 103, "source_record_id": "recheck.jsonl:157", "source_line": 93, "audio": "audio/customer_service__recheckjsonl157.wav", "scene": "customer_service", "language": "en", "oral": "I need a refund for these extra charges, I need a refund! I stayed at Hilton... the hotel, but my invoice... invoice I N V two zero two three zero zero two shows I received a used item as new. I mean, received a different item than ordered. I tried to fix it online but... unable to update credit card details, just unable to update. The charges... they are wrong. I mean, the bill is just... completely wrong. I cannot... I cannot get the system to let me change my card, and this bill... it is just not right!", "clean": "I need a refund for these extra charges. I stayed at Hilton, but my invoice INV2023002 shows I received a different item than ordered. I tried to fix it online but was unable to update credit card details. The bill is completely wrong, and I cannot get the system to let me change my card.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I need a refund! I need a refund!, invoice... invoice, I cannot... I cannot"}, {"id": "q002", "category": "format", "question": "output中是否将“I N V two zero two three zero zero two”规范化成了“INV2023002”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“I N V two zero two three zero zero two”或类似原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "invoice I N V two zero two three zero zero two -> invoice INV2023002"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“received a used item as new. I mean, received a different item than ordered”处理成了“received a different item than ordered”？", "options": [{"text": "进行了相同处理，保留了最终结果并去除了纠错过程", "score": 2}, {"text": "去除了解释性语句但最终结果不完整", "score": 1}, {"text": "仍保留了被否定或解释性过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "received a used item as new. I mean, received a different item than ordered -> received a different item than ordered"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“The charges... they are wrong. I mean, the bill is just... completely wrong”处理成了“The bill is completely wrong”？", "options": [{"text": "进行了相同处理，保留了最终结果并去除了纠错过程", "score": 2}, {"text": "去除了解释性语句但最终结果不完整", "score": 1}, {"text": "仍保留了被否定或解释性过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "The charges... they are wrong. I mean, the bill is just... completely wrong -> The bill is completely wrong"}, {"id": "q005", "category": "content", "question": "output中是否保留了“need a refund for these extra charges”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I need a refund for these extra charges"}, {"id": "q006", "category": "content", "question": "output中是否保留了“stayed at Hilton”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I stayed at Hilton"}, {"id": "q007", "category": "content", "question": "output中是否保留了“unable to update credit card details”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "unable to update credit card details"}, {"id": "q008", "category": "content", "question": "output中是否保留了“cannot get the system to let me change my card”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I cannot get the system to let me change my card"}]}
{"status": "success", "index": 104, "source_record_id": "recheck.jsonl:158", "source_line": 94, "audio": "audio/customer_service__recheckjsonl158.wav", "scene": "customer_service", "language": "en", "oral": "Can I return it if it opened? I mean... I think I can but... wait, let me check. I want to change delivery address, change delivery address after shipping. My old address was one hundred one Maple Lane, Star City, Washington nine eight zero zero one. I... I need it sent to... let's say... two hundred two Birch Boulevard, Denver, Colorado eight zero zero zero one. My email street address late one two three at gmail dot com, but I forgot my security question answers, forgot my security question answers.", "clean": "Can I return it if it's opened? I think I can, but let me check. I want to change the delivery address after shipping. My old address was 101 Maple Lane, Star City, Washington 98001. I need it sent to 202 Birch Boulevard, Denver, Colorado 80001. My email address is late123@gmail.com, but I forgot my security question answers.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“return it if it's opened”或“return it if opened”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Can I return it if it's opened? / Can I return it if it opened?"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“I mean... I think I can but... wait, let me check.”处理成了“I think I can, but let me check.”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "I mean... I think I can but... wait, let me check. -> I think I can, but let me check."}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "change delivery address, change delivery address / I... I / forgot my security question answers, forgot my security question answers"}, {"id": "q004", "category": "format", "question": "output中是否将“one hundred one”和“nine eight zero zero one”规范化成了“101”和“98001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one hundred one Maple Lane... Washington nine eight zero zero one -> 101 Maple Lane... Washington 98001"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred two”和“eight zero zero zero one”规范化成了“202”和“80001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred two Birch Boulevard... Colorado eight zero zero zero one -> 202 Birch Boulevard... Colorado 80001"}, {"id": "q006", "category": "format", "question": "output中是否将“late one two three at gmail dot com”规范化成了“late123@gmail.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "late one two three at gmail dot com -> late123@gmail.com"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“My email street address”处理成了“My email address is”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "My email street address -> My email address is"}, {"id": "q008", "category": "content", "question": "output中是否保留了“change the delivery address after shipping”或“change delivery address after shipping”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I want to change the delivery address after shipping. / I want to change delivery address, change delivery address after shipping."}, {"id": "q009", "category": "content", "question": "output中是否保留了“I need it sent to”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I need it sent to"}, {"id": "q010", "category": "content", "question": "output中是否保留了“forgot my security question answers”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "but I forgot my security question answers."}]}
{"status": "success", "index": 105, "source_record_id": "recheck.jsonl:162", "source_line": 96, "audio": "audio/customer_service__recheckjsonl162.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I just wanted to follow up on requesting a chargeback for my order. See, the... uh... delivery driver left package in rain and it's all ruined. I sent an email to info at company dot co dot u k, but... wait... I think I sent it to info at company dot com... oh no, it was dot co dot u k! Anyway, could you please look into this? I mean, the... how should I put it... the whole thing is just a mess, and I need my money back.", "clean": "Hi, I just wanted to follow up on requesting a chargeback for my order. The delivery driver left the package in the rain and it's all ruined. I sent an email to info@company.co.uk, but could you please look into this? The whole thing is just a mess, and I need my money back.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“requesting a chargeback for my order”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: requesting a chargeback for my order"}, {"id": "q002", "category": "content", "question": "output中是否保留了“delivery driver left the package in the rain”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: The delivery driver left the package in the rain"}, {"id": "q003", "category": "content", "question": "output中是否保留了“the whole thing is just a mess”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: The whole thing is just a mess"}, {"id": "q004", "category": "content", "question": "output中是否保留了“need my money back”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I need my money back."}, {"id": "q005", "category": "format", "question": "output中是否将“info at company dot co dot u k”规范化成了“info@company.co.uk”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“info at company dot co dot u k”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: info at company dot co dot u k; clean: info@company.co.uk"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: See, the... uh...; but... wait...; oh no; Anyway; I mean, the... how should I put it..."}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I sent an email to info at company dot co dot u k, but... wait... I think I sent it to info at company dot com... oh no, it was dot co dot u k!”处理成了“I sent an email to info@company.co.uk”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I sent an email to info at company dot co dot u k, but... wait... I think I sent it to info at company dot com... oh no, it was dot co dot u k!; clean: I sent an email to info@company.co.uk"}]}
{"status": "success", "index": 106, "source_record_id": "recheck.jsonl:167", "source_line": 98, "audio": "audio/customer_service__recheckjsonl167.wav", "scene": "customer_service", "language": "en", "oral": "Broken? Yeah, it is broken. Two thousand five hundred dollars! Just... two thousand five hundred. Two fifteen seventy five too. Seat limit reached on my plan. Unable to export data. Case three three nine two eight one seven.", "clean": "Broken? Yeah, it is broken. $2,500! Just $2,500. 21575 too. Seat limit reached on my plan. Unable to export data. Case 3392817.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Seat limit reached”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Seat limit reached on my plan."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Unable to export data”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Unable to export data."}, {"id": "q003", "category": "format", "question": "output中是否将“Two thousand five hundred dollars”规范化成了“$2,500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Two thousand five hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Two thousand five hundred dollars! -> clean: $2,500!"}, {"id": "q004", "category": "format", "question": "output中是否将“Two fifteen seventy five”规范化成了“21575”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Two fifteen seventy five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Two fifteen seventy five too. -> clean: 21575 too."}, {"id": "q005", "category": "format", "question": "output中是否将“three three nine two eight one seven”规范化成了“3392817”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three three nine two eight one seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Case three three nine two eight one seven. -> clean: Case 3392817."}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Just... two thousand five hundred. -> clean: Just $2,500. (去除了犹豫停顿 '...')"}]}
{"status": "success", "index": 108, "source_record_id": "recheck.jsonl:168", "source_line": 99, "audio": "audio/customer_service__recheckjsonl168.wav", "scene": "customer_service", "language": "en", "oral": "Sarah, look, flight canceled. My ref is R E F one one zero two nine three eight... oh no, R E F one one zero two nine three four. I just cannot access cloud storage!", "clean": "Sarah, look, flight canceled. My ref is REF1102934. I just cannot access cloud storage!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“flight canceled”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: flight canceled; oral: flight canceled"}, {"id": "q002", "category": "content", "question": "output中是否存在“cannot access cloud storage”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: cannot access cloud storage; oral: cannot access cloud storage"}, {"id": "q003", "category": "format", "question": "output中是否将“R E F one one zero two nine three four”规范化成了“REF1102934”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“R E F one one zero two nine three four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: REF1102934; oral: R E F one one zero two nine three four"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: R E F one one zero two nine three eight... oh no, R E F one one zero two nine three four"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“R E F one one zero two nine three eight... oh no, R E F one one zero two nine three four”处理成了“REF1102934”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: REF1102934; oral: R E F one one zero two nine three eight... oh no, R E F one one zero two nine three four"}]}
{"status": "success", "index": 107, "source_record_id": "recheck.jsonl:166", "source_line": 97, "audio": "audio/customer_service__recheckjsonl166.wav", "scene": "customer_service", "language": "en", "oral": "Hi uh I am calling because my voucher code not working and also like... I think payment processed twice for one order... wait... oh no it was processed three times... no wait, it was processed twice for order number seven four two one. I mean... if I can't get this sorted... how should I say... if you could just check the system then we could maybe... uh... just do a partial refund? I know it is opened but I appreciate your help with this... because the A P I key not working either.", "clean": "Hi, I am calling because my voucher code is not working and also I think payment was processed twice for order number 7421. If you could just check the system, then we could maybe just do a partial refund? I know it is open, but I appreciate your help with this because the API key is not working either.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, like, wait, oh no, no wait, I mean, how should I say"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“processed twice for one order... wait... oh no it was processed three times... no wait, it was processed twice”处理成了“processed twice”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "payment processed twice for one order... wait... oh no it was processed three times... no wait, it was processed twice -> payment was processed twice"}, {"id": "q003", "category": "format", "question": "output中是否将“seven four two one”规范化成了“7421”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven four two one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "seven four two one -> 7421"}, {"id": "q004", "category": "format", "question": "output中是否将“A P I”规范化成了“API”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“A P I”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "A P I -> API"}, {"id": "q005", "category": "content", "question": "output中是否存在“voucher code not working”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "my voucher code not working"}, {"id": "q006", "category": "content", "question": "output中是否存在“check the system”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check the system"}, {"id": "q007", "category": "content", "question": "output中是否存在“partial refund”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "partial refund"}, {"id": "q008", "category": "content", "question": "output中是否存在“appreciate your help”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "appreciate your help"}]}
{"status": "success", "index": 109, "source_record_id": "recheck.jsonl:171", "source_line": 102, "audio": "audio/customer_service__recheckjsonl171.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I'm not totally sure but I think I can return this opened Notion kit, I paid fifty dollars for it, or wait, it was UberEats... no, it was NordVPN, and I just wanted to check policy since my number is five five five, eight eight eight, one two three four. Is that possible?", "clean": "Hi, I'm not totally sure but I think I can return this opened Notion kit, I paid $50 for it, no, it was NordVPN, and I just wanted to check policy since my number is 555-888-1234. Is that possible?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“opened Notion kit”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "opened Notion kit"}, {"id": "q002", "category": "format", "question": "output中是否将“fifty dollars”规范化成了“$50”？", "options": [{"text": "进行了相同或合理的规范化成了“$50”", "score": 1}, {"text": "没有进行规范化但存在“fifty dollars”", "score": 0}, {"text": "不存在“$50”或“fifty dollars”", "score": -1}], "evidence": "fifty dollars -> $50"}, {"id": "q003", "category": "rephrase", "question": "output中是否去除了“or wait, it was UberEats”的纠正过程，并保留了最终结果“NordVPN”？", "options": [{"text": "进行了相同处理，去除了纠正过程并保留了“NordVPN”", "score": 2}, {"text": "去除了解释性语句但没保留最终结果“NordVPN”", "score": 1}, {"text": "没有去除纠正过程，仍保留了“or wait, it was UberEats”", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "or wait, it was UberEats... no, it was NordVPN -> NordVPN"}, {"id": "q004", "category": "format", "question": "output中是否将“five five five, eight eight eight, one two three four”规范化成了“555-888-1234”？", "options": [{"text": "进行了相同或合理的规范化成了“555-888-1234”", "score": 1}, {"text": "没有进行规范化但存在“five five five, eight eight eight, one two three four”", "score": 0}, {"text": "不存在“555-888-1234”或“five five five, eight eight eight, one two three four”", "score": -1}], "evidence": "five five five, eight eight eight, one two three four -> 555-888-1234"}, {"id": "q005", "category": "content", "question": "output中是否保留了“check policy”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "check policy"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "or wait, no"}]}
{"status": "success", "index": 111, "source_record_id": "recheck.jsonl:176", "source_line": 104, "audio": "audio/customer_service__recheckjsonl176.wav", "scene": "customer_service", "language": "en", "oral": "Actually... uh, I just noticed my Uber charge went through but then my credit card was declined despite funds being there. It is for order S H I P four four one zero two nine three, which is weird because Microsoft payment worked fine. Just... this is a total waste of time, honestly, you know?", "clean": "I just noticed my Uber charge went through but then my credit card was declined despite funds being there. It is for order SHIP4410293, which is weird because Microsoft payment worked fine. This is a total waste of time, honestly.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually... uh, Just..., you know?"}, {"id": "q002", "category": "format", "question": "output中是否将“S H I P four four one zero two nine three”规范化成了“SHIP4410293”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S H I P four four one zero two nine three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "S H I P four four one zero two nine three -> SHIP4410293"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Uber charge went through”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Uber charge went through"}, {"id": "q004", "category": "content", "question": "output中是否保留了“credit card was declined”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "credit card was declined"}, {"id": "q005", "category": "content", "question": "output中是否保留了“despite funds being there”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "despite funds being there"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Microsoft payment worked fine”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Microsoft payment worked fine"}, {"id": "q007", "category": "content", "question": "output中是否保留了“total waste of time”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "total waste of time"}]}
{"status": "success", "index": 110, "source_record_id": "recheck.jsonl:169", "source_line": 100, "audio": "audio/customer_service__recheckjsonl169.wav", "scene": "customer_service", "language": "en", "oral": "Oh my god! Eh, my monthly statement monthly statement is missing for October, for claim A C C six six seven seven eight eight three, and the DHL charge, the DHL charge is eighteen dollars, just... how to say... TXN four four one zero two nine three one is the reference, it's not showing up in my account ya, I just want to know why it's not there ba.", "clean": "Oh my god! My monthly statement is missing for October, for claim ACC6677883, and the DHL charge is $18. TXN44102931 is the reference; it's not showing up in my account. I just want to know why it's not there.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Eh, monthly statement monthly statement, the DHL charge, the DHL charge, just... how to say..., ya, ba"}, {"id": "q002", "category": "format", "question": "output中是否将“A C C six six seven seven eight eight three”规范化成了“ACC6677883”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“A C C six six seven seven eight eight three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "A C C six six seven seven eight eight three -> ACC6677883"}, {"id": "q003", "category": "format", "question": "output中是否将“eighteen dollars”规范化成了“$18”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighteen dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eighteen dollars -> $18"}, {"id": "q004", "category": "format", "question": "output中是否将“TXN four four one zero two nine three one”规范化成了“TXN44102931”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“TXN four four one zero two nine three one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "TXN four four one zero two nine three one -> TXN44102931"}, {"id": "q005", "category": "content", "question": "output中是否保留了“monthly statement is missing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "my monthly statement is missing"}, {"id": "q006", "category": "content", "question": "output中是否保留了“for October”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "for October"}, {"id": "q007", "category": "content", "question": "output中是否保留了“DHL charge”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the DHL charge"}, {"id": "q008", "category": "content", "question": "output中是否保留了“not showing up in my account”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "it's not showing up in my account"}, {"id": "q009", "category": "content", "question": "output中是否保留了“want to know why it's not there”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I just want to know why it's not there"}]}
{"status": "success", "index": 112, "source_record_id": "recheck.jsonl:170", "source_line": 101, "audio": "audio/customer_service__recheckjsonl170.wav", "scene": "customer_service", "language": "en", "oral": "Hi look I just got my package and it is just a mess like the packaging is totally damaged and uh it is the completely incorrect item shipped to me. I paid three hundred ninety nine dollars for this thing and I am just so frustrated. It was sent to five five six six Front Street Liverpool UK L one one A A... oh wait no it is L one one B B. Anyway the transaction number is T X N six six one zero two nine three three. I just need you to fix this right now!", "clean": "Hi, I just got my package and it is just a mess. The packaging is totally damaged and it is the completely incorrect item shipped to me. I paid $399 for this thing and I am just so frustrated. It was sent to 5566 Front Street, Liverpool, UK L11BB. Anyway, the transaction number is TXN66102933. I just need you to fix this right now!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“包裹包装完全损坏且发错了货”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "the packaging is totally damaged and it is the completely incorrect item shipped to me."}, {"id": "q002", "category": "content", "question": "output中是否保留了“要求立刻解决此问题”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I just need you to fix this right now!"}, {"id": "q003", "category": "format", "question": "output中是否将“three hundred ninety nine dollars”规范化成了“$399”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred ninety nine dollars”", "score": 0}, {"text": "不存在该金额或规范化结果错误", "score": -1}], "evidence": "I paid three hundred ninety nine dollars / I paid $399"}, {"id": "q004", "category": "format", "question": "output中是否将街道号“five five six six”规范化成了“5566”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five five six six”", "score": 0}, {"text": "不存在该街道号或规范化结果错误", "score": -1}], "evidence": "five five six six Front Street / 5566 Front Street"}, {"id": "q005", "category": "format", "question": "output中是否将交易号“T X N six six one zero two nine three three”规范化成了“TXN66102933”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T X N six six one zero two nine three three”", "score": 0}, {"text": "不存在该交易号或规范化结果错误", "score": -1}], "evidence": "T X N six six one zero two nine three three / TXN66102933"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "look, like, uh"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“L one one A A... oh wait no it is L one one B B”处理成了“L11BB”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "L one one A A... oh wait no it is L one one B B / L11BB"}]}
{"status": "success", "index": 113, "source_record_id": "recheck.jsonl:177", "source_line": 105, "audio": "audio/customer_service__recheckjsonl177.wav", "scene": "customer_service", "language": "en", "oral": "Ugh! I was charged seventy five twenty for requesting feature addition on Deezer. Wait, no, not feature addition, I meant account upgrade! I want close my account permanently. My reference number is T X three three four four five five one. Again, T X three three four four five five one.", "clean": "I was charged $75.20 for requesting an account upgrade on Deezer. I want to close my account permanently. My reference number is TX3344551.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Ugh!, Again, T X three three four four five five one."}, {"id": "q002", "category": "format", "question": "output中是否将“seventy five twenty”规范化成了“$75.20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seventy five twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "seventy five twenty -> $75.20"}, {"id": "q003", "category": "format", "question": "output中是否将“T X three three four four five five one”规范化成了“TX3344551”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T X three three four four five five one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "T X three three four four five five one -> TX3344551"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“feature addition, Wait, no, not feature addition, I meant account upgrade”处理成了“account upgrade”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "feature addition... I meant account upgrade! -> account upgrade"}, {"id": "q005", "category": "content", "question": "output中是否存在“Deezer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Deezer"}, {"id": "q006", "category": "content", "question": "output中是否存在“close my account permanently”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "close my account permanently"}]}
{"status": "success", "index": 116, "source_record_id": "recheck.jsonl:181", "source_line": 109, "audio": "audio/customer_service__recheckjsonl181.wav", "scene": "customer_service", "language": "en", "oral": "Payment gateway timeout. Seventy nine dollars. SESS five five two eight one seven three... oh no, seven five... seven three seven. Fix it!", "clean": "Payment gateway timeout. $79. SESS 552817377. Fix it!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Payment gateway timeout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Payment gateway timeout."}, {"id": "q002", "category": "format", "question": "output中是否将“Seventy nine dollars”规范化成了“$79”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Seventy nine dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Seventy nine dollars. -> $79."}, {"id": "q003", "category": "rephrase", "question": "output中是否将“SESS five five two eight one seven three... oh no, seven five... seven three seven”处理成了“SESS 552817377”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "SESS five five two eight one seven three... oh no, seven five... seven three seven. -> SESS 552817377."}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oh no"}, {"id": "q005", "category": "content", "question": "output中是否存在“Fix it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Fix it!"}]}
{"status": "success", "index": 114, "source_record_id": "recheck.jsonl:174", "source_line": 103, "audio": "audio/customer_service__recheckjsonl174.wav", "scene": "customer_service", "language": "en", "oral": "Hi Sarah, look, I am calling cause I got this weird charge for thirteen ninety nine on my card. I tried using a discount code but it... it expired too early, and then I cannot disable auto renewal on their site. I cannot find invoice in my email either! My address is three twenty one Elm Street, Austin, Texas seven eight zero zero... oh no, seven eight seven zero one. Anyway, I just want this money back, seriously, thirteen ninety nine for something I cannot even access is just... it is ridiculous!", "clean": "Hi Sarah, I am calling cause I got this weird charge for $13.99 on my card. I tried using a discount code but it expired too early, and then I cannot disable auto-renewal on their site. I cannot find the invoice in my email either! My address is 321 Elm Street, Austin, Texas 78701. Anyway, I just want this money back, seriously, $13.99 for something I cannot even access is just ridiculous!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "look, it... it, just... it is"}, {"id": "q002", "category": "format", "question": "output中是否将“thirteen ninety nine”规范化成了“$13.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirteen ninety nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "thirteen ninety nine -> $13.99"}, {"id": "q003", "category": "format", "question": "output中是否将“three twenty one”规范化成了“321”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three twenty one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "three twenty one -> 321"}, {"id": "q004", "category": "format", "question": "output中是否将“auto renewal”规范化成了“auto-renewal”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“auto renewal”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "auto renewal -> auto-renewal"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“seven eight zero zero... oh no, seven eight seven zero one”处理成了“78701”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "seven eight zero zero... oh no, seven eight seven zero one -> 78701"}, {"id": "q006", "category": "content", "question": "output中是否存在“weird charge”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "weird charge"}, {"id": "q007", "category": "content", "question": "output中是否存在“discount code”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "discount code"}, {"id": "q008", "category": "content", "question": "output中是否存在“expired too early”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "expired too early"}, {"id": "q009", "category": "content", "question": "output中是否存在“find the invoice”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "find invoice / find the invoice"}, {"id": "q010", "category": "content", "question": "output中是否存在“Elm Street”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Elm Street"}, {"id": "q011", "category": "content", "question": "output中是否存在“want this money back”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "want this money back"}, {"id": "q012", "category": "content", "question": "output中是否存在“cannot even access”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "cannot even access"}]}
{"status": "success", "index": 115, "source_record_id": "recheck.jsonl:179", "source_line": 107, "audio": "audio/customer_service__recheckjsonl179.wav", "scene": "customer_service", "language": "en", "oral": "I need you to rebook my flight right now because I'm not happy, I'm not happy with the way this was handled! Like, the flight was canceled and I just noticed a discrepancy, a discrepancy in the charges, there is thirteen seventy five added on. The documentation is outdated, documentation is outdated for my profile, and my address... it is six zero six Spruce Street, New York, New York, five one four. I think... how should I say... the system is just not updating. This whole situation is just... just a mess and I really need a new flight today!", "clean": "I need you to rebook my flight right now because I'm not happy with the way this was handled! The flight was canceled and I just noticed a discrepancy in the charges, there is $13.75 added on. The documentation is outdated for my profile, and my address is 606 Spruce Street, New York, New York, 514. I think the system is just not updating. This whole situation is just a mess and I really need a new flight today!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“rebook my flight”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: rebook my flight"}, {"id": "q002", "category": "content", "question": "output中是否保留了“flight was canceled”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: flight was canceled"}, {"id": "q003", "category": "content", "question": "output中是否保留了“discrepancy in the charges”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: discrepancy in the charges"}, {"id": "q004", "category": "content", "question": "output中是否保留了“documentation is outdated for my profile”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: documentation is outdated for my profile"}, {"id": "q005", "category": "content", "question": "output中是否保留了“system is just not updating”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: system is just not updating"}, {"id": "q006", "category": "content", "question": "output中是否保留了“need a new flight today”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: need a new flight today"}, {"id": "q007", "category": "format", "question": "output中是否将“thirteen seventy five”规范化成了“$13.75”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirteen seventy five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: thirteen seventy five / clean: $13.75"}, {"id": "q008", "category": "format", "question": "output中是否将“six zero six Spruce Street”规范化成了“606 Spruce Street”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six zero six Spruce Street”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: six zero six Spruce Street / clean: 606 Spruce Street"}, {"id": "q009", "category": "format", "question": "output中是否将“five one four”规范化成了“514”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five one four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five one four / clean: 514"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I'm not happy, I'm not happy / Like, / a discrepancy, a discrepancy / documentation is outdated, documentation is outdated / how should I say..."}, {"id": "q011", "category": "rephrase", "question": "output中是否将“my address... it is”处理成了“my address is”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了口语化表述但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: and my address... it is / clean: and my address is"}]}
{"status": "success", "index": 118, "source_record_id": "recheck.jsonl:192", "source_line": 114, "audio": "audio/customer_service__recheckjsonl192.wav", "scene": "customer_service", "language": "en", "oral": "Credit score affected, affected by mistake. One hundred twelve fifty, one hundred twelve fifty. I want lodge formal complaint.", "clean": "Credit score affected by mistake. 11250. I want to lodge a formal complaint.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: affected, affected; one hundred twelve fifty, one hundred twelve fifty"}, {"id": "q002", "category": "format", "question": "output中是否将“one hundred twelve fifty”规范化成了“11250”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twelve fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: One hundred twelve fifty; clean: 11250"}, {"id": "q003", "category": "content", "question": "output中是否存在“credit score affected”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Credit score affected"}, {"id": "q004", "category": "content", "question": "output中是否存在“lodge formal complaint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: lodge a formal complaint; oral: lodge formal complaint"}]}
{"status": "success", "index": 117, "source_record_id": "recheck.jsonl:178", "source_line": 106, "audio": "audio/customer_service__recheckjsonl178.wav", "scene": "customer_service", "language": "en", "oral": "Hi uh look I really need to cancel my Canva subscription right now. I mean it just keep charging me and... uh... how should I put it... it's just not working for me. My address is one one seven High Street London UK S W one A one A. Oh wait no... it is Calle Mayor ten Madrid twenty eight thousand one. I mean... no sorry... it is actually one one seven High Street London UK S W one A one A. My ticket is T R K three three four four five five six six. I demand credit for inconvenience... like a full refund. Does that sound fair to you?", "clean": "Hi, I really need to cancel my Canva subscription right now. It just keeps charging me and it's just not working for me. My address is 117 High Street, London, UK SW1A 1A. My ticket is TRK33445566. I demand credit for inconvenience, a full refund. Does that sound fair to you?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh look, I mean, uh, how should I put it, Oh wait no, I mean... no sorry, like"}, {"id": "q002", "category": "rephrase", "question": "output中是否将地址纠错过程中的“Calle Mayor ten Madrid twenty eight thousand one”删除，并保留了最终确认的地址“117 High Street, London, UK SW1A 1A”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Oh wait no... it is Calle Mayor ten Madrid twenty eight thousand one. I mean... no sorry... it is actually one one seven High Street London UK S W one A one A."}, {"id": "q003", "category": "format", "question": "output中是否将“one one seven”规范化成了“117”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one one seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one one seven"}, {"id": "q004", "category": "format", "question": "output中是否将“S W one A one A”规范化成了“SW1A 1A”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“S W one A one A”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "S W one A one A"}, {"id": "q005", "category": "format", "question": "output中是否将“T R K three three four four five five six six”规范化成了“TRK33445566”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“T R K three three four four five five six six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "T R K three three four four five five six six"}, {"id": "q006", "category": "content", "question": "output中是否存在“cancel my Canva subscription”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "cancel my Canva subscription"}, {"id": "q007", "category": "content", "question": "output中是否存在“charging me”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "keep charging me"}, {"id": "q008", "category": "content", "question": "output中是否存在“not working for me”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "not working for me"}, {"id": "q009", "category": "content", "question": "output中是否存在“demand credit for inconvenience”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "demand credit for inconvenience"}, {"id": "q010", "category": "content", "question": "output中是否存在“full refund”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "full refund"}]}
{"status": "success", "index": 120, "source_record_id": "recheck.jsonl:182", "source_line": 110, "audio": "audio/customer_service__recheckjsonl182.wav", "scene": "customer_service", "language": "en", "oral": "My customer ID CUST five five two eight one seven three, I'm unable to activate, unable to activate trial period. Also order ORD seven seven two eight one nine three, and then address eight zero eight Ash Street, Springfield, Massachusetts zero one one zero zero... oh no, zero one one zero one. Plus twelve fifty charge, twelve fifty charge is wrong!", "clean": "My customer ID CUST5528173, I'm unable to activate trial period. Also order ORD7728193, and then address 808 Ash Street, Springfield, Massachusetts 01101. Plus $12.50 charge, $12.50 charge is wrong!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“trial period”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I'm unable to activate trial period."}, {"id": "q002", "category": "format", "question": "output中是否将“CUST five five two eight one seven three”规范化成了“CUST5528173”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CUST five five two eight one seven three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "My customer ID CUST5528173"}, {"id": "q003", "category": "format", "question": "output中是否将“ORD seven seven two eight one nine three”规范化成了“ORD7728193”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ORD seven seven two eight one nine three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Also order ORD7728193"}, {"id": "q004", "category": "format", "question": "output中是否将“eight zero eight”规范化成了“808”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight zero eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "address 808 Ash Street"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“zero one one zero zero... oh no, zero one one zero one”处理成了“01101”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Massachusetts 01101"}, {"id": "q006", "category": "format", "question": "output中是否将“twelve fifty”规范化成了“$12.50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Plus $12.50 charge"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "unable to activate, unable to activate"}, {"id": "q008", "category": "content", "question": "output中是否保留了“Ash Street”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "808 Ash Street"}, {"id": "q009", "category": "content", "question": "output中是否保留了“Springfield, Massachusetts”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Springfield, Massachusetts"}]}
{"status": "success", "index": 119, "source_record_id": "recheck.jsonl:187", "source_line": 112, "audio": "audio/customer_service__recheckjsonl187.wav", "scene": "customer_service", "language": "en", "oral": "First I filed claim REF two zero two three zero nine two, then I got bill BILL five five four eight two zero... it was American Airlines, American Airlines flight. Finally, order ORD five five two eight one seven three... wait... this order is wrong. Please escalate this, escalate this to a supervisor.", "clean": "1. I filed claim REF2023092\n2. I got bill BILL554820 from American Airlines flight\n3. Order ORD5528173\n\nPlease escalate this to a supervisor.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“filed claim”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "First I filed claim"}, {"id": "q002", "category": "format", "question": "output中是否将“REF two zero two three zero nine two”规范化成了“REF2023092”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“REF two zero two three zero nine two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "REF two zero two three zero nine two -> REF2023092"}, {"id": "q003", "category": "format", "question": "output中是否将“BILL five five four eight two zero”规范化成了“BILL554820”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“BILL five five four eight two zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "BILL five five four eight two zero -> BILL554820"}, {"id": "q004", "category": "content", "question": "output中是否存在“American Airlines flight”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "American Airlines, American Airlines flight"}, {"id": "q005", "category": "format", "question": "output中是否将“ORD five five two eight one seven three”规范化成了“ORD5528173”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ORD five five two eight one seven three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ORD five five two eight one seven three -> ORD5528173"}, {"id": "q006", "category": "rephrase", "question": "output中是否去除了“wait... this order is wrong”这种自我否定和纠错的过程？", "options": [{"text": "进行了相同处理，完全去除了该否定和纠错过程", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除，仍保留了该否定和纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "wait... this order is wrong"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "American Airlines, American Airlines; escalate this, escalate this"}, {"id": "q008", "category": "content", "question": "output中是否存在“escalate this to a supervisor”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Please escalate this, escalate this to a supervisor."}]}
{"status": "success", "index": 121, "source_record_id": "recheck.jsonl:186", "source_line": 111, "audio": "audio/customer_service__recheckjsonl186.wav", "scene": "customer_service", "language": "en", "oral": "Can you help me? Yeah, I can. My Peloton... my Peloton arrived broken. I paid six ninety-nine... oh no, six ninety-five for shipping, and nineteen fifty for the tax. Just... just a mess. My email... wotson at mail dot ru... wait, Squarespace... eh, the order was from Squarespace. My email... email is wotson at mail dot ru.", "clean": "Can you help me? Yeah, I can. My Peloton arrived broken. I paid $6.95 for shipping, and $19.50 for the tax. Just a mess. The order was from Squarespace. My email is wotson@mail.ru.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Peloton arrived broken”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: My Peloton arrived broken."}, {"id": "q002", "category": "content", "question": "output中是否提到了支付“shipping”和“tax”？", "options": [{"text": "都提到了", "score": 1}, {"text": "只提到了其中一个", "score": 0}, {"text": "都没有提到或含义相反", "score": -1}], "evidence": "clean: I paid $6.95 for shipping, and $19.50 for the tax."}, {"id": "q003", "category": "format", "question": "output中是否将“six ninety-five”规范化成了“$6.95”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six ninety-five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: six ninety-five; clean: $6.95"}, {"id": "q004", "category": "format", "question": "output中是否将“nineteen fifty”规范化成了“$19.50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nineteen fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: nineteen fifty; clean: $19.50"}, {"id": "q005", "category": "format", "question": "output中是否将“wotson at mail dot ru”规范化成了“wotson@mail.ru”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“wotson at mail dot ru”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: wotson at mail dot ru; clean: wotson@mail.ru"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: my Peloton... my Peloton; Just... just; My email... email"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I paid six ninety-nine... oh no, six ninety-five”处理成了“I paid $6.95”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I paid six ninety-nine... oh no, six ninety-five; clean: I paid $6.95"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“wait, Squarespace... eh, the order was from Squarespace”处理成了“The order was from Squarespace”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: wait, Squarespace... eh, the order was from Squarespace; clean: The order was from Squarespace."}]}
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I tried to log in but I cannot activate two-factor authentication. It just keeps failing. I sent an email to help.me@zoho.com and also contact@service.net but no one replied. And get this... the package sent to the wrong state! It went to Ohio instead of New York! Can you please lock the account and send a new card to the right address? I really need this fixed fast, right now!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'and uh there was', 'Like five hundred', 'but I... I cannot', 'please just... I mean,', 'fast, like, right now'"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred dollars”规范化成了“$500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred dollars”", "score": 0}, {"text": "不存在该金额或规范化结果错误", "score": -1}], "evidence": "oral: 'Like five hundred dollars just vanished.' clean: '$500 just vanished.'"}, {"id": "q003", "category": "format", "question": "output中是否将“two factor authentication”规范化成了“two-factor authentication”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two factor authentication”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: 'two factor authentication' clean: 'two-factor authentication'"}, {"id": "q004", "category": "format", "question": "output中是否将“help dot me at zoho dot com”规范化成了“help.me@zoho.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“help dot me at zoho dot com”", "score": 0}, {"text": "不存在该邮箱或规范化结果错误", "score": -1}], "evidence": "oral: 'help dot me at zoho dot com' clean: 'help.me@zoho.com'"}, {"id": "q005", "category": "format", "question": "output中是否将“contact at service dot net”规范化成了“contact@service.net”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“contact at service dot net”", "score": 0}, {"text": "不存在该邮箱或规范化结果错误", "score": -1}], "evidence": "oral: 'contact at service dot net' clean: 'contact@service.net'"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“my replacement card... wait, no, the package sent to wrong state”处理成了“the package sent to the wrong state”？", "options": [{"text": "进行了相同处理，保留了最终结果并删除了纠正过程", "score": 2}, {"text": "删除了纠正过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠正过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'my replacement card... wait, no, the package sent to wrong state!' clean: 'the package sent to the wrong state!'"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Can you please just... I mean, can you lock the account”处理成了“Can you please lock the account”？", "options": [{"text": "进行了相同处理，保留了最终结果并删除了重新表述过程", "score": 2}, {"text": "删除了重新表述过程但最终结果不完整", "score": 1}, {"text": "仍保留了重新表述过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'Can you please just... I mean, can you lock the account' clean: 'Can you please lock the account'"}, {"id": "q008", "category": "content", "question": "output中是否存在“fraudulent transaction”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'fraudulent transaction'"}, {"id": "q009", "category": "content", "question": "output中是否存在“Ohio instead of New York”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Ohio instead of New York'"}, {"id": "q010", "category": "content", "question": "output中是否存在“lock the account”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'lock the account'"}, {"id": "q011", "category": "content", "question": "output中是否存在“send a new card to the right address”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'send a new card to the right address'"}]}
{"status": "success", "index": 123, "source_record_id": "recheck.jsonl:195", "source_line": 115, "audio": "audio/customer_service__recheckjsonl195.wav", "scene": "customer_service", "language": "en", "oral": "Hi I'm calling because I received a generic response, I received a generic response to my ticket about my Qualcomm chip. I bought it from Newegg and the technician didn't show up, the technician didn't show up. I tried emailing samantha dot lee at zoho dot com but I... I mean I just need to reschedule. Please check samantha dot lee at zoho dot com.", "clean": "Hi, I'm calling because I received a generic response to my ticket about my Qualcomm chip. I bought it from Newegg and the technician didn't show up. I tried emailing samantha.lee@zoho.com, but I just need to reschedule. Please check samantha.lee@zoho.com.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I received a generic response, I received a generic response / the technician didn't show up, the technician didn't show up / I... I mean"}, {"id": "q002", "category": "format", "question": "output中是否将“samantha dot lee at zoho dot com”规范化成了“samantha.lee@zoho.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“samantha dot lee at zoho dot com”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "samantha dot lee at zoho dot com -> samantha.lee@zoho.com"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“but I... I mean I just need to reschedule”处理成了“but I just need to reschedule”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "but I... I mean I just need to reschedule -> but I just need to reschedule"}, {"id": "q004", "category": "content", "question": "output中是否存在“generic response to my ticket”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "generic response to my ticket"}, {"id": "q005", "category": "content", "question": "output中是否存在“Qualcomm chip”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Qualcomm chip"}, {"id": "q006", "category": "content", "question": "output中是否存在“bought it from Newegg”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "bought it from Newegg"}, {"id": "q007", "category": "content", "question": "output中是否存在“technician didn't show up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "technician didn't show up"}, {"id": "q008", "category": "content", "question": "output中是否存在“reschedule”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "reschedule"}]}
{"status": "success", "index": 124, "source_record_id": "recheck.jsonl:188", "source_line": 113, "audio": "audio/customer_service__recheckjsonl188.wav", "scene": "customer_service", "language": "en", "oral": "Actually... I... I just remembered, my invoice... I mean, the bill... INV one one two eight three seven four is wrong. I requested a callback but never got one, and... how should I say... I expect a better level of service. My case is CAS eight eight two seven three six. Please call me back at plus one six one seven five five five zero one seven seven. I've been waitin for a while now, it's just... not right, yeah.", "clean": "I just remembered, the bill INV1128374 is wrong. I requested a callback but never got one, and I expect a better level of service. My case is CAS882736. Please call me back at +1 617 555 0177. I've been waiting for a while now, it's just not right.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Actually... I... I\", \"how should I say...\", \"yeah\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“my invoice... I mean, the bill”处理成了“the bill”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"my invoice... I mean, the bill...\", clean: \"the bill\""}, {"id": "q003", "category": "format", "question": "output中是否将“INV one one two eight three seven four”规范化成了“INV1128374”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“INV one one two eight three seven four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"INV one one two eight three seven four\", clean: \"INV1128374\""}, {"id": "q004", "category": "format", "question": "output中是否将“CAS eight eight two seven three six”规范化成了“CAS882736”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CAS eight eight two seven three six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"CAS eight eight two seven three six\", clean: \"CAS882736\""}, {"id": "q005", "category": "format", "question": "output中是否将“plus one six one seven five five five zero one seven seven”规范化成了“+1 617 555 0177”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“plus one six one seven five five five zero one seven seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"plus one six one seven five five five zero one seven seven\", clean: \"+1 617 555 0177\""}, {"id": "q006", "category": "content", "question": "output中是否存在“I just remembered”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I just remembered\""}, {"id": "q007", "category": "content", "question": "output中是否存在“is wrong”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"is wrong\""}, {"id": "q008", "category": "content", "question": "output中是否存在“I requested a callback but never got one”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I requested a callback but never got one\""}, {"id": "q009", "category": "content", "question": "output中是否存在“I expect a better level of service”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I expect a better level of service\""}, {"id": "q010", "category": "content", "question": "output中是否存在“I've been waiting for a while now”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I've been waiting for a while now\""}]}
{"status": "success", "index": 125, "source_record_id": "recheck.jsonl:196", "source_line": 116, "audio": "audio/customer_service__recheckjsonl196.wav", "scene": "customer_service", "language": "en", "oral": "Hi yes I am calling because I just noticed a discrepancy in my billing. Now look I thought it was just a one time fee but oh no it is an unexpected monthly price hike! I am talking about policy B L L eight eight one seven two six three. My case number is C A S E five five two eight one seven three three... wait no sorry it is five five two eight one seven three four. Anyway I sent an email to customer help at i cloud dot com but nobody replied. I mean I really need this sorted out now because the cost is just too high. I mean it is just too high!", "clean": "Hi, yes, I am calling because I just noticed a discrepancy in my billing. Now look, I thought it was just a one-time fee but it is an unexpected monthly price hike! I am talking about policy BLL8817263. My case number is CASE55281734. Anyway, I sent an email to customerhelp@icloud.com but nobody replied. I really need this sorted out now because the cost is just too high.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“discrepancy in my billing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "discrepancy in my billing"}, {"id": "q002", "category": "content", "question": "output中是否存在“unexpected monthly price hike”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "unexpected monthly price hike"}, {"id": "q003", "category": "format", "question": "output中是否将“B L L eight eight one seven two six three”规范化成了“BLL8817263”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“B L L eight eight one seven two six three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "policy B L L eight eight one seven two six three -> policy BLL8817263"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“C A S E five five two eight one seven three three... wait no sorry it is five five two eight one seven three four”处理成了“CASE55281734”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "C A S E five five two eight one seven three three... wait no sorry it is five five two eight one seven three four -> CASE55281734"}, {"id": "q005", "category": "format", "question": "output中是否将“customer help at i cloud dot com”规范化成了“customerhelp@icloud.com”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“customer help at i cloud dot com”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "customer help at i cloud dot com -> customerhelp@icloud.com"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oh no, I mean, I mean it is just too high!"}, {"id": "q007", "category": "content", "question": "output中是否存在“sorted out”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sorted out"}]}
{"status": "success", "index": 127, "source_record_id": "recheck.jsonl:209", "source_line": 122, "audio": "audio/daily_chat__recheckjsonl209.wav", "scene": "daily_chat", "language": "zh", "oral": "赵雨萌说周末去古北水镇,我觉得去古北水镇太远太远了,咱们还是去蓝色港湾,蓝色港湾逛逛,我想去买个佳洁时牙刷,不对,是买个电动牙刷,然后顺便去华山医院看下医生", "clean": "赵雨萌说周末去古北水镇，我觉得去古北水镇太远了，咱们还是去蓝色港湾逛逛，我想买个电动牙刷，然后顺便去华山医院看下医生", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“赵雨萌”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "赵雨萌说周末去古北水镇"}, {"id": "q002", "category": "content", "question": "output中是否存在“古北水镇”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "赵雨萌说周末去古北水镇"}, {"id": "q003", "category": "content", "question": "output中是否存在“蓝色港湾”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "咱们还是去蓝色港湾逛逛"}, {"id": "q004", "category": "content", "question": "output中是否存在“华山医院”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "然后顺便去华山医院看下医生"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "太远太远了, 蓝色港湾,蓝色港湾逛逛"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“买个佳洁时牙刷,不对,是买个电动牙刷”处理成了“买个电动牙刷”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "我想去买个佳洁时牙刷,不对,是买个电动牙刷 -> 我想买个电动牙刷"}]}
{"status": "success", "index": 126, "source_record_id": "recheck.jsonl:208", "source_line": 121, "audio": "audio/daily_chat__recheckjsonl208.wav", "scene": "daily_chat", "language": "zh", "oral": "天呐今天热死我了，刚才跟林舒雅去万象城买露露乐蒙，感觉整个人都要融化掉，然后下午约了徐子涵去深夜食堂，哦不是，是去喝下午茶，还有那边空调好像坏了，真的太难受了", "clean": "天呐今天热死我了，刚才跟林舒雅去万象城买Lululemon，感觉整个人都要融化掉，然后下午约了徐子涵去喝下午茶，还有那边空调好像坏了，真的太难受了", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“露露乐蒙”规范化成了“Lululemon”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“露露乐蒙”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 买露露乐蒙; clean: 买Lululemon"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“去深夜食堂，哦不是，是去喝下午茶”处理成了“去喝下午茶”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 去深夜食堂，哦不是，是去喝下午茶; clean: 去喝下午茶"}, {"id": "q003", "category": "content", "question": "output中是否存在“林舒雅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 跟林舒雅去万象城"}, {"id": "q004", "category": "content", "question": "output中是否存在“万象城”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去万象城买"}, {"id": "q005", "category": "content", "question": "output中是否存在“徐子涵”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 约了徐子涵去"}, {"id": "q006", "category": "content", "question": "output中是否存在“感觉整个人都要融化掉”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 感觉整个人都要融化掉"}, {"id": "q007", "category": "content", "question": "output中是否存在“空调好像坏了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那边空调好像坏了"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无典型无意义口语词或重复词，自我纠正已在rephrase中处理"}]}
{"status": "success", "index": 130, "source_record_id": "recheck.jsonl:214", "source_line": 124, "audio": "audio/daily_chat__recheckjsonl214.wav", "scene": "daily_chat", "language": "zh", "oral": "哎呀太心烦了，我家狗这个礼拜五就开始拉肚子，怎么说呢，佳洁士和林梦瑶说得用药，但梁思琪跟吴宇轩又说得先禁食，现在完全没头绪呀。", "clean": "太心烦了，我家狗这个礼拜五就开始拉肚子，佳洁士和林梦瑶说得用药，但梁思琪跟吴宇轩又说得先禁食，现在完全没头绪呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“太心烦了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 太心烦了"}, {"id": "q002", "category": "content", "question": "output中是否存在“我家狗这个礼拜五就开始拉肚子”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我家狗这个礼拜五就开始拉肚子"}, {"id": "q003", "category": "content", "question": "output中是否存在“佳洁士和林梦瑶说得用药”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 佳洁士和林梦瑶说得用药"}, {"id": "q004", "category": "content", "question": "output中是否存在“梁思琪跟吴宇轩又说得先禁食”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 梁思琪跟吴宇轩又说得先禁食"}, {"id": "q005", "category": "content", "question": "output中是否存在“现在完全没头绪”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 现在完全没头绪呀"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哎呀...怎么说呢..."}]}
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{"status": "success", "index": 129, "source_record_id": "recheck.jsonl:197", "source_line": 117, "audio": "audio/customer_service__recheckjsonl197.wav", "scene": "customer_service", "language": "en", "oral": "Hi, I thought my appointment was for Tuesday... oh no, it's Wednesday. I need to reschedule because the software is incompatible with my OS, yeah. I've been waiting, waiting for a callback for three days now. My order number is ORD two two eight three seven four six, ORD two two eight three seven four six. The session is SESS one one zero two nine three. I'm still waiting for a reference, a reference... REF nine nine two eight three seven four, and I hope I can get a new time slot soon ha.", "clean": "Hi, I thought my appointment was for Wednesday. I need to reschedule because the software is incompatible with my OS. I've been waiting for a callback for 3 days now. My order number is ORD2283746. The session is SESS110293. I'm still waiting for a reference REF9928374, and I hope I can get a new time slot soon.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“Tuesday... oh no, it's Wednesday”处理成了“Wednesday”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'Tuesday... oh no, it's Wednesday.' clean: 'Wednesday.'"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'oh no', 'yeah', 'waiting, waiting', 'reference, a reference...', 'ha'"}, {"id": "q003", "category": "format", "question": "output中是否将“three days”规范化成了“3 days”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three days”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'three days' clean: '3 days'"}, {"id": "q004", "category": "format", "question": "output中是否将“ORD two two eight three seven four six”规范化成了“ORD2283746”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ORD two two eight three seven four six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'ORD two two eight three seven four six' clean: 'ORD2283746'"}, {"id": "q005", "category": "format", "question": "output中是否将“SESS one one zero two nine three”规范化成了“SESS110293”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“SESS one one zero two nine three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'SESS one one zero two nine three' clean: 'SESS110293'"}, {"id": "q006", "category": "format", "question": "output中是否将“REF nine nine two eight three seven four”规范化成了“REF9928374”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“REF nine nine two eight three seven four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'REF nine nine two eight three seven four' clean: 'REF9928374'"}, {"id": "q007", "category": "content", "question": "output中是否存在“appointment”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'appointment'"}, {"id": "q008", "category": "content", "question": "output中是否存在“reschedule”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'reschedule'"}, {"id": "q009", "category": "content", "question": "output中是否存在“software is incompatible with my OS”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'software is incompatible with my OS'"}, {"id": "q010", "category": "content", "question": "output中是否存在“callback”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'callback'"}, {"id": "q011", "category": "content", "question": "output中是否存在“new time slot”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'new time slot'"}]}
{"status": "success", "index": 133, "source_record_id": "recheck.jsonl:221", "source_line": 126, "audio": "audio/daily_chat__recheckjsonl221.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我们就去成都吧，怎么说呢，程逸凡说那边现在挺舒服的。我想想啊，下周二早晨在人民广场集合就行，到时候方圆苑那边杨睿博也一块儿过来哈。", "clean": "我们就去成都吧，程逸凡说那边现在挺舒服的。下周二早晨在人民广场集合就行，到时候方圆苑那边杨睿博也一块儿过来哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“去成都”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我们就去成都吧"}, {"id": "q002", "category": "content", "question": "output中是否保留了“程逸凡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "程逸凡说那边现在挺舒服的"}, {"id": "q003", "category": "content", "question": "output中是否保留了“下周二早晨”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "下周二早晨在人民广场集合就行"}, {"id": "q004", "category": "content", "question": "output中是否保留了“人民广场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "下周二早晨在人民广场集合就行"}, {"id": "q005", "category": "content", "question": "output中是否保留了“方圆苑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "到时候方圆苑那边杨睿博也一块儿过来哈"}, {"id": "q006", "category": "content", "question": "output中是否保留了“杨睿博”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "到时候方圆苑那边杨睿博也一块儿过来哈"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶, 怎么说呢, 我想想啊"}]}
{"status": "success", "index": 131, "source_record_id": "recheck.jsonl:202", "source_line": 120, "audio": "audio/daily_chat__recheckjsonl202.wav", "scene": "daily_chat", "language": "zh", "oral": "诶你听说了没，高子睿前天中午十二点在国贸中心，国贸中心被钱子涵给堵了，然后还有就是他们俩在南山路，南山路吵得挺凶，另外听说钱子涵再打算分手吧。", "clean": "你听说了没，高子睿前天12:00在国贸中心被钱子涵给堵了，然后他们俩在南山路吵得挺凶，另外听说钱子涵在打算分手吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“高子睿”？", "options": [{"text": "有，或存在同音词", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 高子睿; clean: 高子睿"}, {"id": "q002", "category": "content", "question": "output中是否存在“钱子涵”？", "options": [{"text": "有，或存在同音词", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 钱子涵; clean: 钱子涵"}, {"id": "q003", "category": "content", "question": "output中是否存在“分手”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 分手; clean: 分手"}, {"id": "q004", "category": "format", "question": "output中是否将“中午十二点”规范化成了“12:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“中午十二点”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: 中午十二点; clean: 12:00"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 国贸中心国贸中心, 南山路南山路; clean: 无"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“再打算”纠正为了“在打算”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了错误但没保留最终结果", "score": 1}, {"text": "没有去除或纠正", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 再打算; clean: 在打算"}]}
{"status": "success", "index": 132, "source_record_id": "recheck.jsonl:212", "source_line": 123, "audio": "audio/daily_chat__recheckjsonl212.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，如果何天翊把特斯拉开过来接我，那我们就能去吃那家超赞的店！我想想啊，就在三号街...不对，四号街...等等错了，是五号街！之前赵嘉怡办理签证时穿那件lululemon衣服去吃过，说绝了呀。", "clean": "如果何天翊把特斯拉开过来接我，那我们就能去吃那家超赞的店！就在5号街！之前赵嘉怡办理签证时穿那件lululemon衣服去吃过，说绝了呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“何天翊把特斯拉开过来接我”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果何天翊把特斯拉开过来接我"}, {"id": "q002", "category": "content", "question": "output中是否保留了“赵嘉怡办理签证时穿那件lululemon衣服去吃过”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 之前赵嘉怡办理签证时穿那件lululemon衣服去吃过"}, {"id": "q003", "category": "format", "question": "output中是否将“五号街”规范化成了“5号街”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五号街”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五号街, clean: 5号街"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶， / 我想想啊，"}, {"id": "q005", "category": "rephrase", "question": "output中是否去除了“三号街...不对，四号街...等等错了”的自我纠正过程，并保留了最终结果“五号街”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 就在三号街...不对，四号街...等等错了，是五号街！, clean: 就在5号街！"}]}
{"status": "success", "index": 135, "source_record_id": "recheck.jsonl:226", "source_line": 130, "audio": "audio/daily_chat__recheckjsonl226.wav", "scene": "daily_chat", "language": "zh", "oral": "诶不是你想那样，咱们不去人民广场，其实是去幸福花园那边，就是张峻熙说那边有个考研自习室，不对，是自习咖啡馆，还能奶茶续杯吧。", "clean": "不是你想那样，咱们不去人民广场，其实是去幸福花园那边，张峻熙说那边有个自习咖啡馆，还能奶茶续杯吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“幸福花园”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 其实是去幸福花园那边"}, {"id": "q002", "category": "content", "question": "output中是否存在“张峻熙”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 张峻熙说那边有个自习咖啡馆"}, {"id": "q003", "category": "content", "question": "output中是否存在“奶茶续杯”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 还能奶茶续杯吧"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶不是你想那样...就是张峻熙说..."}, {"id": "q005", "category": "rephrase", "question": "output中是否将“考研自习室，不对，是自习咖啡馆”处理成了“自习咖啡馆”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 有个考研自习室，不对，是自习咖啡馆 / clean: 有个自习咖啡馆"}]}
{"status": "success", "index": 134, "source_record_id": "recheck.jsonl:216", "source_line": 125, "audio": "audio/daily_chat__recheckjsonl216.wav", "scene": "daily_chat", "language": "zh", "oral": "诶对了，今天地铁人真多，我都快挤成相片了，话说周子默之前说他在金茂大厦那边，嗯，帮周子涵搞什么智能家居配置，我想想啊，他是不是在花园路那站下车吧，怎么说呢，要是赶上早高峰，估计得在车里呆上三十分钟呀。", "clean": "今天地铁人真多，我都快挤成相片了。周子默之前说他在金茂大厦那边帮周子涵搞智能家居配置，他是不是在花园路那站下车吧，要是赶上早高峰，估计得在车里呆上30分钟呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶对了...话说...嗯...我想想啊...怎么说呢... clean: 删除了这些口语词和犹豫词"}, {"id": "q002", "category": "format", "question": "output中是否将“三十分钟”规范化成了“30分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三十分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三十分钟 clean: 30分钟"}, {"id": "q003", "category": "content", "question": "output中是否存在“今天地铁人真多”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 今天地铁人真多"}, {"id": "q004", "category": "content", "question": "output中是否存在“挤成相片”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我都快挤成相片了"}, {"id": "q005", "category": "content", "question": "output中是否存在“周子默”或其同音词？", "options": [{"text": "有或同音", "score": 1}, {"text": "没有该词或发音不同", "score": 0}, {"text": "和该词含义相反", "score": -1}], "evidence": "clean: 周子默之前说"}, {"id": "q006", "category": "content", "question": "output中是否存在“金茂大厦”或其同音词？", "options": [{"text": "有或同音", "score": 1}, {"text": "没有该词或发音不同", "score": 0}, {"text": "和该词含义相反", "score": -1}], "evidence": "clean: 在金茂大厦那边"}, {"id": "q007", "category": "content", "question": "output中是否存在“周子涵”或其同音词？", "options": [{"text": "有或同音", "score": 1}, {"text": "没有该词或发音不同", "score": 0}, {"text": "和该词含义相反", "score": -1}], "evidence": "clean: 帮周子涵搞"}, {"id": "q008", "category": "content", "question": "output中是否存在“智能家居配置”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 搞智能家居配置"}, {"id": "q009", "category": "content", "question": "output中是否存在“花园路”或其同音词？", "options": [{"text": "有或同音", "score": 1}, {"text": "没有该词或发音不同", "score": 0}, {"text": "和该词含义相反", "score": -1}], "evidence": "clean: 在花园路那站下车"}, {"id": "q010", "category": "content", "question": "output中是否存在“早高峰”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 要是赶上早高峰"}]}
{"status": "success", "index": 136, "source_record_id": "recheck.jsonl:223", "source_line": 128, "audio": "audio/daily_chat__recheckjsonl223.wav", "scene": "daily_chat", "language": "zh", "oral": "顾清然，诶，你想想前天中午十二点我见物业时，就是说那个鸟牌始祖鸟外套被刮到啦，怎么说呢，我跟他们反映过好几次了吧。", "clean": "顾清然，你想想前天12:00我见物业时，始祖鸟外套被刮到了，我跟他们反映过好几次了吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“顾清然”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: “顾清然” / oral: “顾清然”"}, {"id": "q002", "category": "content", "question": "output中是否保留了“见物业”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: “见物业” / oral: “见物业”"}, {"id": "q003", "category": "content", "question": "output中是否保留了“被刮到了”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: “被刮到了” / oral: “被刮到啦”"}, {"id": "q004", "category": "content", "question": "output中是否保留了“反映过好几次了吧”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: “反映过好几次了吧” / oral: “反映过好几次了吧”"}, {"id": "q005", "category": "format", "question": "output中是否将“中午十二点”规范化成了“12:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“中午十二点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: “12:00” / oral: “中午十二点”"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: “诶”、“就是说”、“怎么说呢”"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“鸟牌始祖鸟”处理成了“始祖鸟”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: “始祖鸟” / oral: “鸟牌始祖鸟”"}]}
{"status": "success", "index": 137, "source_record_id": "recheck.jsonl:227", "source_line": 131, "audio": "audio/daily_chat__recheckjsonl227.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，如果郑嘉怡能开她那辆比亚迪的话，那我们就能在五道口…我想想啊…直接在五道口集合，然后去金水桥。不对，是去金水苑，这样方便点吧。郭佳怡也再来接我，就省得打车了。", "clean": "如果郑嘉怡能开她那辆比亚迪的话，那我们就能直接在五道口集合，然后去金水苑，这样方便点吧。郭嘉怡再来接我，就省得打车了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中的“诶”、“我想想啊”、“也”等口语词或重复词语在clean中被去除。"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“去金水桥。不对，是去金水苑”处理成了“去金水苑”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '去金水桥。不对，是去金水苑' -> clean: '去金水苑'"}, {"id": "q003", "category": "content", "question": "output中是否存在“郑嘉怡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '郑嘉怡'"}, {"id": "q004", "category": "content", "question": "output中是否存在“比亚迪”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '比亚迪'"}, {"id": "q005", "category": "content", "question": "output中是否存在“五道口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '五道口'"}, {"id": "q006", "category": "content", "question": "output中是否存在“郭嘉怡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '郭嘉怡' (oral中为'郭佳怡'，clean修正为'郭嘉怡')"}, {"id": "q007", "category": "content", "question": "output中是否存在“省得打车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '省得打车'"}]}
{"status": "success", "index": 138, "source_record_id": "recheck.jsonl:224", "source_line": 129, "audio": "audio/daily_chat__recheckjsonl224.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，最近我跟孙嘉怡去国贸商城逛了逛，然后我还预约个除除螨服务，就是，家里那床垫得弄弄吧。另外我也跟苏曼青聊了，我想想啊，打算把家里那个…换成极米投影仪，怎么说呢，感觉看电影更舒服呀。", "clean": "最近我跟孙嘉怡去国贸商城逛了逛，然后我还预约个除螨服务，家里那床垫得弄弄吧。另外我也跟苏曼青聊了，打算把家里那个换成极米投影仪，感觉看电影更舒服呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“孙嘉怡”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 最近我跟孙嘉怡去国贸商城逛了逛"}, {"id": "q002", "category": "content", "question": "output中是否保留了“国贸商城”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 去国贸商城逛了逛"}, {"id": "q003", "category": "content", "question": "output中是否保留了“除螨服务”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 预约个除螨服务"}, {"id": "q004", "category": "content", "question": "output中是否保留了“苏曼青”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 我也跟苏曼青聊了"}, {"id": "q005", "category": "content", "question": "output中是否保留了“极米投影仪”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 换成极米投影仪"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶...除除螨...就是...我想想啊...怎么说呢"}]}
{"status": "success", "index": 139, "source_record_id": "recheck.jsonl:222", "source_line": 127, "audio": "audio/daily_chat__recheckjsonl222.wav", "scene": "daily_chat", "language": "zh", "oral": "不是你以为我逛二手市场买的，其实其实是梁思颖送我新手机！这手机快快得离谱，我刚才扫码扫码共享单车，几乎没延迟。我就想现在带它去西湖，去西湖…怎么说呢…去那边边喝奶茶加波霸边拍照，绝了！", "clean": "不是你以为我逛二手市场买的，其实是梁思颖送我新手机！这手机快得离谱，我刚才扫码共享单车，几乎没延迟。我就想现在带它去西湖，去那边边喝奶茶加波霸边拍照，绝了！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“二手市场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 逛二手市场买的"}, {"id": "q002", "category": "content", "question": "output中是否存在“梁思颖”或其同音词？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 梁思颖送我新手机"}, {"id": "q003", "category": "content", "question": "output中是否存在“新手机”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 送我新手机"}, {"id": "q004", "category": "content", "question": "output中是否存在“共享单车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 扫码共享单车"}, {"id": "q005", "category": "content", "question": "output中是否存在“西湖”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 带它去西湖"}, {"id": "q006", "category": "content", "question": "output中是否存在“奶茶”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 边喝奶茶"}, {"id": "q007", "category": "content", "question": "output中是否存在“波霸”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 加波霸边拍照"}, {"id": "q008", "category": "content", "question": "output中是否存在“拍照”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 边拍照"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 其实其实是、快快得、扫码扫码、去西湖…怎么说呢…去那边"}]}
{"status": "success", "index": 141, "source_record_id": "recheck.jsonl:234", "source_line": 135, "audio": "audio/daily_chat__recheckjsonl234.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，如果周芷若能把人民广场金街那个项目搞定，那我们大概能拿三万五千块奖金吧，我想想啊，到时候我直接给韩雨薇买个极米投影仪。", "clean": "如果周芷若能把人民广场金街那个项目搞定，那我们大概能拿35000元奖金吧，到时候我直接给韩雨薇买个极米投影仪。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“周芷若”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 周芷若"}, {"id": "q002", "category": "content", "question": "output中是否存在“人民广场金街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 人民广场金街"}, {"id": "q003", "category": "content", "question": "output中是否存在“韩雨薇”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 韩雨薇"}, {"id": "q004", "category": "content", "question": "output中是否存在“极米投影仪”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 极米投影仪"}, {"id": "q005", "category": "format", "question": "output中是否将“三万五千块”规范化成了“35000元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三万五千块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三万五千块, clean: 35000元"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 我想想啊"}]}
{"status": "success", "index": 140, "source_record_id": "recheck.jsonl:229", "source_line": 132, "audio": "audio/daily_chat__recheckjsonl229.wav", "scene": "daily_chat", "language": "zh", "oral": "我今天真累死了，先是开会开到晚上八点，开会开到晚上八点才结束，然后还得去东冬门接姜雨萌，接姜雨萌去第一人民医院看个门诊，最后我还得去蔚来逛逛折扣店，逛逛折扣店买个东西，简直在崩溃边缘", "clean": "我今天真累死了，先是开会开到20:00才结束，然后还得去东门接姜雨萌去第一人民医院看个门诊，最后我还得去蔚来逛逛折扣店买个东西，简直在崩溃边缘", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“晚上八点”规范化成了“20:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“晚上八点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 晚上八点, clean: 20:00"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“东冬门”处理成了“东门”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 东冬门, clean: 东门"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 开会开到晚上八点，开会开到晚上八点才结束 / 接姜雨萌，接姜雨萌去 / 逛逛折扣店，逛逛折扣店买个东西, clean: 开会开到20:00才结束 / 接姜雨萌去 / 逛逛折扣店买个东西"}, {"id": "q004", "category": "content", "question": "output中是否存在“姜雨萌”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 姜雨萌"}, {"id": "q005", "category": "content", "question": "output中是否存在“第一人民医院”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 第一人民医院"}, {"id": "q006", "category": "content", "question": "output中是否存在“蔚来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 蔚来"}, {"id": "q007", "category": "content", "question": "output中是否存在“崩溃边缘”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 崩溃边缘"}, {"id": "q008", "category": "content", "question": "output中是否存在“开会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 开会"}, {"id": "q009", "category": "content", "question": "output中是否存在“折扣店”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 折扣店"}]}
{"status": "success", "index": 142, "source_record_id": "recheck.jsonl:231", "source_line": 133, "audio": "audio/daily_chat__recheckjsonl231.wav", "scene": "daily_chat", "language": "zh", "oral": "你说过那个剧没看过吧?我昨晚十一点才看完,简直绝了,剧情反转反转得太快,你绝对得看,得看这部!我记得咱俩约后天正午在金融街见,啊不对,在万达广场见,看完之后咱俩去人民广场逛逛,我觉得真的可以!", "clean": "你说过那个剧没看过吧？我昨晚23:00才看完，简直绝了，剧情反转得太快，你绝对得看这部！我记得咱俩约后天12:00在万达广场见，看完之后咱俩去人民广场逛逛，我觉得真的可以！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“那个剧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "那个剧"}, {"id": "q002", "category": "format", "question": "output中是否将“十一点”规范化成了“23:00”？", "options": [{"text": "进行了相同或合理的规范化，输出了“23:00”", "score": 1}, {"text": "没有进行规范化但存在“十一点”", "score": 0}, {"text": "不存在“23:00”也不存在“十一点”", "score": -1}], "evidence": "十一点 -> 23:00"}, {"id": "q003", "category": "format", "question": "output中是否将“正午”规范化成了“12:00”？", "options": [{"text": "进行了相同或合理的规范化，输出了“12:00”", "score": 1}, {"text": "没有进行规范化但存在“正午”", "score": 0}, {"text": "不存在“12:00”也不存在“正午”", "score": -1}], "evidence": "正午 -> 12:00"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "反转反转得太快, 得看,得看这部"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“在金融街见,啊不对,在万达广场见”处理成了“在万达广场见”？", "options": [{"text": "进行了相同处理，输出了“在万达广场见”", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除，仍包含“在金融街见”等解释性语句", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "在金融街见,啊不对,在万达广场见 -> 在万达广场见"}, {"id": "q006", "category": "content", "question": "output中是否存在“简直绝了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "简直绝了"}, {"id": "q007", "category": "content", "question": "output中是否存在“人民广场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "人民广场"}]}
{"status": "success", "index": 143, "source_record_id": "recheck.jsonl:232", "source_line": 134, "audio": "audio/daily_chat__recheckjsonl232.wav", "scene": "daily_chat", "language": "zh", "oral": "刘子洋，绝了，今天地铁上人多到爆炸，我本来想在名创优品随便逛逛，结果人挤人，我记得下周三傍晚，哦不是，下周四傍晚蓝色港湾那边好像有活动，估计得比今天更挤，唐煜恒你到时候千万别凑热闹", "clean": "刘子洋，绝了，今天地铁上人多到爆炸，我本来想在名创优品随便逛逛，结果人挤人。我记得下周四傍晚蓝色港湾那边好像有活动，估计得比今天更挤，唐煜恒你到时候千万别凑热闹", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“刘子洋”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 刘子洋"}, {"id": "q002", "category": "content", "question": "output中是否保留了“名创优品”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 名创优品"}, {"id": "q003", "category": "content", "question": "output中是否保留了“蓝色港湾”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 蓝色港湾"}, {"id": "q004", "category": "content", "question": "output中是否保留了“唐煜恒”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 唐煜恒"}, {"id": "q005", "category": "format", "question": "output中是否将“结果人挤人”后的逗号规范化成了句号？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“结果人挤人”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: 结果人挤人，我记得 -> clean: 结果人挤人。我记得"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦不是"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“下周三傍晚，哦不是，下周四傍晚”处理成了“下周四傍晚”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 下周三傍晚，哦不是，下周四傍晚 -> clean: 下周四傍晚"}]}
{"status": "success", "index": 144, "source_record_id": "recheck.jsonl:239", "source_line": 138, "audio": "audio/daily_chat__recheckjsonl239.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，你别以为这剧是那种霸总甜宠剧，其实其实是个悬疑剧，剧情反转反转得特别快。大后天咱们在世纪公园见，不对，南山路见，到时候边喝霸王茶姬边跟你聊，我想把赵宇轩这角色分析给你听。", "clean": "你别以为这剧是那种霸总甜宠剧，其实是个悬疑剧，剧情反转得特别快。大后天咱们在南山路见，到时候边喝霸王茶姬边跟你聊，我想把赵宇轩这角色分析给你听。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶、其实其实、反转反转"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“在世纪公园见，不对，南山路见”处理成了“在南山路见”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "在世纪公园见，不对，南山路见 -> 在南山路见"}, {"id": "q003", "category": "content", "question": "output中是否存在“霸总甜宠剧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "霸总甜宠剧"}, {"id": "q004", "category": "content", "question": "output中是否存在“悬疑剧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "悬疑剧"}, {"id": "q005", "category": "content", "question": "output中是否存在“剧情反转得特别快”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "剧情反转得特别快"}, {"id": "q006", "category": "content", "question": "output中是否存在“大后天”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "大后天"}, {"id": "q007", "category": "content", "question": "output中是否存在“霸王茶姬”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "霸王茶姬"}, {"id": "q008", "category": "content", "question": "output中是否存在“赵宇轩”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "赵宇轩"}]}
{"status": "success", "index": 145, "source_record_id": "recheck.jsonl:241", "source_line": 139, "audio": "audio/daily_chat__recheckjsonl241.wav", "scene": "daily_chat", "language": "zh", "oral": "诶你听说了没，韩逸飞跟王梓豪在那滨江路吵起来了，我想想啊，应该是除夕年夜饭那天，在国贸中心那家餐厅，不对，是国贸中心对面那家，吵得特别凶呀。", "clean": "你听说了没，韩逸飞跟王梓豪在滨江路吵起来了，应该是除夕年夜饭那天，在国贸中心对面那家餐厅，吵得特别凶呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“韩逸飞”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 韩逸飞; clean: 韩逸飞"}, {"id": "q002", "category": "content", "question": "output中是否保留了“王梓豪”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 王梓豪; clean: 王梓豪"}, {"id": "q003", "category": "content", "question": "output中是否保留了“除夕年夜饭”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 除夕年夜饭; clean: 除夕年夜饭"}, {"id": "q004", "category": "content", "question": "output中是否保留了“滨江路”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 滨江路; clean: 滨江路"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“国贸中心那家餐厅，不对，是国贸中心对面那家”处理成了“国贸中心对面那家餐厅”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 在国贸中心那家餐厅，不对，是国贸中心对面那家; clean: 在国贸中心对面那家餐厅"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 我想想啊, 不对; clean: 无"}]}
{"status": "success", "index": 146, "source_record_id": "recheck.jsonl:238", "source_line": 137, "audio": "audio/daily_chat__recheckjsonl238.wav", "scene": "daily_chat", "language": "zh", "oral": "绝了今天这地铁人多得离谱，我本来打算下周一早晨去西单大悦城，啊不对，是北外滩那边，然后那个…怎么说呢…我想着顺便把衣服除除螨，还有那个陆子衿也得见一面，另外还得赶那个会，真的挤死我了", "clean": "绝了今天这地铁人多得离谱，我本来打算下周一早晨去北外滩那边，我想着顺便把衣服除除螨，还有陆子衿也得见一面，另外还得赶那个会，真的挤死我了", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“西单大悦城，啊不对，是北外滩那边”处理成了“北外滩那边”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 西单大悦城，啊不对，是北外滩那边 -> clean: 北外滩那边"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 然后那个…怎么说呢… / 还有那个陆子衿 -> clean: 删除了口语词和插入语"}, {"id": "q003", "category": "content", "question": "output中是否存在“地铁人多得离谱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 地铁人多得离谱"}, {"id": "q004", "category": "content", "question": "output中是否存在“下周一早晨”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下周一早晨"}, {"id": "q005", "category": "content", "question": "output中是否存在“除除螨”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 除除螨"}, {"id": "q006", "category": "content", "question": "output中是否存在“陆子衿”或同音人名？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 陆子衿"}, {"id": "q007", "category": "content", "question": "output中是否存在“赶会”或“赶那个会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 赶那个会"}, {"id": "q008", "category": "content", "question": "output中是否存在“挤死我了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 挤死我了"}]}
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{"status": "success", "index": 151, "source_record_id": "recheck.jsonl:247", "source_line": 142, "audio": "audio/daily_chat__recheckjsonl247.wav", "scene": "daily_chat", "language": "zh", "oral": "说白了咱们就别纠结了，直接去万象城吃，那个...怎么说呢...要是孙雨薇和徐佳宜也来就更热闹，刚才周子涵说在东门...啊不对，是南门集合，咱们再那边见就行，估计得等个十分钟。", "clean": "说白了咱们就别纠结了，直接去万象城吃，要是孙雨薇和徐佳宜也来就更热闹，刚才周子涵说在南门集合，咱们在那边见就行，估计得等个10分钟。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“万象城”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接去万象城吃"}, {"id": "q002", "category": "content", "question": "output中是否存在“孙雨薇和徐佳宜”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 要是孙雨薇和徐佳宜也来就更热闹"}, {"id": "q003", "category": "content", "question": "output中是否存在“在那边见”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们在那边见就行"}, {"id": "q004", "category": "format", "question": "output中是否将“十分钟”规范化成了“10分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 估计得等个十分钟 / clean: 估计得等个10分钟"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个...怎么说呢..."}, {"id": "q006", "category": "rephrase", "question": "output中是否将“东门...啊不对，是南门”处理成了“南门”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 刚才周子涵说在东门...啊不对，是南门集合 / clean: 刚才周子涵说在南门集合"}]}
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{"status": "success", "index": 153, "source_record_id": "recheck.jsonl:255", "source_line": 146, "audio": "audio/daily_chat__recheckjsonl255.wav", "scene": "daily_chat", "language": "zh", "oral": "我最近搬到华润海岸城那边住，嗯，睡眠质量好多了，现在每天早睡早起，前几天还跟梁娇去哈尔滨圣索菲亚，啊不对，是圣索菲亚教堂逛了逛。", "clean": "我最近搬到华润海岸城那边住，睡眠质量好多了，现在每天早睡早起，前几天还跟梁娇去哈尔滨圣索菲亚教堂逛了逛。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“华润海岸城”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "存在含义相反的词", "score": -1}], "evidence": "华润海岸城"}, {"id": "q002", "category": "content", "question": "output中是否存在“睡眠质量好多了”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "存在含义相反的词", "score": -1}], "evidence": "睡眠质量好多了"}, {"id": "q003", "category": "content", "question": "output中是否存在“每天早睡早起”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "存在含义相反的词", "score": -1}], "evidence": "每天早睡早起"}, {"id": "q004", "category": "content", "question": "output中是否存在“梁娇”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "存在含义相反的词", "score": -1}], "evidence": "梁娇"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“圣索菲亚，啊不对，是圣索菲亚教堂”处理成了“圣索菲亚教堂”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "圣索菲亚，啊不对，是圣索菲亚教堂 -> 圣索菲亚教堂"}]}
{"status": "success", "index": 156, "source_record_id": "recheck.jsonl:270", "source_line": 152, "audio": "audio/daily_chat__recheckjsonl270.wav", "scene": "daily_chat", "language": "zh", "oral": "对了 那个...正午...得去 Zara 退货", "clean": "正午得去 Zara 退货", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“正午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 正午"}, {"id": "q002", "category": "content", "question": "output中是否存在“得去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得去"}, {"id": "q003", "category": "content", "question": "output中是否存在“退货”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 退货"}, {"id": "q004", "category": "format", "question": "output中是否将“zara”或“Zara”规范化为首字母大写的“Zara”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zara”或“Zara”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Zara"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了 那个..."}]}
{"status": "success", "index": 155, "source_record_id": "recheck.jsonl:256", "source_line": 147, "audio": "audio/daily_chat__recheckjsonl256.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我也不太确定周六能不能去，就是感觉穿衣指南说那边冷，我想想啊，得穿个Supreme外套吧，不然得感冒，而且我刚做完美甲款式还没干，要是像史甜甜那样在西安钟楼逛逛还好，爬山怕是会弄坏呀。", "clean": "我也不太确定周六能不能去，感觉穿衣指南说那边冷，得穿个Supreme外套吧，不然得感冒，而且我刚做完美甲款式还没干，要是像史甜甜那样在西安钟楼逛逛还好，爬山怕是会弄坏呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"诶\", \"就是\", \"我想想啊\" -> clean: 删除"}, {"id": "q002", "category": "format", "question": "output中是否将“supreme”规范化成了首字母大写的“Supreme”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“supreme”或“Supreme”", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "oral: \"Supreme\" -> clean: \"Supreme\""}, {"id": "q003", "category": "content", "question": "output中是否存在“西安钟楼”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"西安钟楼\""}, {"id": "q004", "category": "content", "question": "output中是否存在“史甜甜”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"史甜甜\""}, {"id": "q005", "category": "content", "question": "output中是否存在“穿衣指南”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"穿衣指南\""}, {"id": "q006", "category": "content", "question": "output中是否存在“做完美甲”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"做完美甲\""}, {"id": "q007", "category": "content", "question": "output中是否存在“周六”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"周六\""}]}
{"status": "success", "index": 154, "source_record_id": "recheck.jsonl:249", "source_line": 143, "audio": "audio/daily_chat__recheckjsonl249.wav", "scene": "daily_chat", "language": "zh", "oral": "诶不是你觉得这种日子没法过吧，其实只要养成早起习惯就没那么难受，怎么说呢，别像旁氏那样想太多，我想想啊，哪怕傍晚六点去白云机场看飞机，或者买个Saint Laurent包包犒劳下自己，日子还是得再往前走呀。", "clean": "你觉得这种日子没法过吧，其实只要养成早起习惯就没那么难受，别像庞氏那样想太多，哪怕18:00去白云机场看飞机，或者买个Saint Laurent包包犒劳下自己，日子还是得再往前走呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '诶不是', '怎么说呢', '我想想啊'; clean: 无"}, {"id": "q002", "category": "format", "question": "output中是否将“傍晚六点”规范化成了“18:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“傍晚六点”", "score": 0}, {"text": "不存在这个词或18:00", "score": -1}], "evidence": "oral: '傍晚六点'; clean: '18:00'"}, {"id": "q003", "category": "format", "question": "output中是否保留了“Saint Laurent”的首字母大写及空格格式？", "options": [{"text": "保留了相同或合理的格式", "score": 1}, {"text": "没有保留格式但存在“saint laurent”或类似小写/无空格形式", "score": 0}, {"text": "不存在这个词或格式错误", "score": -1}], "evidence": "oral: 'Saint Laurent'; clean: 'Saint Laurent'"}, {"id": "q004", "category": "content", "question": "output中是否存在“养成早起习惯”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '养成早起习惯'"}, {"id": "q005", "category": "content", "question": "output中是否存在“白云机场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '白云机场'"}, {"id": "q006", "category": "content", "question": "output中是否存在“庞氏”或“旁氏”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '旁氏'; clean: '庞氏'"}, {"id": "q007", "category": "content", "question": "output中是否存在“犒劳下自己”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '犒劳下自己'"}, {"id": "q008", "category": "content", "question": "output中是否存在“日子还是得再往前走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '日子还是得再往前走呀'"}]}
{"status": "success", "index": 158, "source_record_id": "recheck.jsonl:265", "source_line": 149, "audio": "audio/daily_chat__recheckjsonl265.wav", "scene": "daily_chat", "language": "zh", "oral": "诶如果周六能穿通勤穿搭去万达，啊不对，华润橡树湾集合嘛，那咱们能省不少时间，就不用等余圆圆中泰那边的车哈。", "clean": "如果周六能穿通勤穿搭去华润橡树湾集合，那咱们能省不少时间，就不用等余圆圆中泰那边的车哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“通勤穿搭”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 通勤穿搭"}, {"id": "q002", "category": "content", "question": "output中是否存在“余圆圆”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 余圆圆"}, {"id": "q003", "category": "content", "question": "output中是否存在“省不少时间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 省不少时间"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 嘛 -> clean: 删除"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“万达，啊不对，华润橡树湾”处理成了“华润橡树湾”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 万达，啊不对，华润橡树湾 -> clean: 华润橡树湾"}]}
{"status": "success", "index": 157, "source_record_id": "recheck.jsonl:267", "source_line": 151, "audio": "audio/daily_chat__recheckjsonl267.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我听说是午睡时间快递到货，他买了个SteelSeries…买了那个…过段时间打算给咱俩一人整一个哈", "clean": "我听说是午睡时间快递到货，他买了个SteelSeries，过段时间打算给咱俩一人整一个哈", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“午睡时间快递到货”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 我听说是午睡时间快递到货"}, {"id": "q002", "category": "format", "question": "output中是否将“SteelSeries”规范化成了首字母大写的“SteelSeries”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“SteelSeries”或类似发音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: 他买了个SteelSeries"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶我听说是...买了个SteelSeries…买了那个…"}, {"id": "q004", "category": "content", "question": "output中是否保留了“他买了个”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 他买了个SteelSeries"}, {"id": "q005", "category": "content", "question": "output中是否保留了“过段时间打算给咱俩一人整一个”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 过段时间打算给咱俩一人整一个哈"}]}
{"status": "success", "index": 159, "source_record_id": "recheck.jsonl:263", "source_line": 148, "audio": "audio/daily_chat__recheckjsonl263.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我想想啊，当时先是周睿非要拉我去超市打折抢衣服，然后咱们居然在打折区翻到件 Patagonia，原价得好几千块，当时只要三百块，不对，是两百块，最后咱们还约好下月十号一起去逛，结果现如今谁也没联系谁，就是挺逗的吧！", "clean": "当时先是周睿非要拉我去超市打折抢衣服，然后咱们居然在打折区翻到件Patagonia，原价得好几千元，当时只要200元，最后咱们还约好下月10号一起去逛，结果现如今谁也没联系谁，挺逗的吧！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶我想想啊，就是"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“当时只要三百块，不对，是两百块”处理成了“当时只要200元”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "当时只要三百块，不对，是两百块 -> 当时只要200元"}, {"id": "q003", "category": "format", "question": "output中是否将“十号”规范化成了“10号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "十号 -> 10号"}, {"id": "q004", "category": "format", "question": "output中是否将“好几千块”规范化成了“好几千元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“好几千块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "好几千块 -> 好几千元"}, {"id": "q005", "category": "content", "question": "output中是否存在“周睿拉我去超市打折抢衣服”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "周睿非要拉我去超市打折抢衣服"}, {"id": "q006", "category": "content", "question": "output中是否存在“在打折区翻到件Patagonia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在打折区翻到件Patagonia"}, {"id": "q007", "category": "content", "question": "output中是否存在“约好下月10号一起去逛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "约好下月10号一起去逛"}, {"id": "q008", "category": "content", "question": "output中是否存在“现如今谁也没联系谁”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "现如今谁也没联系谁"}]}
{"status": "success", "index": 160, "source_record_id": "recheck.jsonl:272", "source_line": 154, "audio": "audio/daily_chat__recheckjsonl272.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我家狗子拉肚子，我给他喂了东冬特饮，不对，绿城雅苑，等等错了，是Costco买的药！就是药药喂了两次两次，你觉得觉得这样行吧？", "clean": "我家狗子拉肚子，我给他喂了Costco买的药，喂了两次，你觉得这样行吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶, 药药, 两次两次, 你觉得觉得"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“东冬特饮，不对，绿城雅苑，等等错了，是Costco买的药”处理成了“Costco买的药”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "东冬特饮，不对，绿城雅苑，等等错了，是Costco买的药 -> Costco买的药"}, {"id": "q003", "category": "format", "question": "output中是否保留了首字母大写的“Costco”？", "options": [{"text": "保留了首字母大写的“Costco”", "score": 1}, {"text": "存在该词但未首字母大写", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Costco"}, {"id": "q004", "category": "content", "question": "output中是否存在“我家狗子拉肚子”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我家狗子拉肚子"}, {"id": "q005", "category": "content", "question": "output中是否存在“喂了两次”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "喂了两次"}, {"id": "q006", "category": "content", "question": "output中是否存在“你觉得这样行吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你觉得这样行吧"}]}
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{"status": "success", "index": 171, "source_record_id": "recheck.jsonl:292", "source_line": 167, "audio": "audio/daily_chat__recheckjsonl292.wav", "scene": "daily_chat", "language": "zh", "oral": "翠湖那边人多，然后…那个…阵雨预警又发，还有招商那块堵死，哎", "clean": "翠湖那边人多，阵雨预警又发了，还有招商那块堵死了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“翠湖”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 翠湖那边人多 / oral: 翠湖那边人多"}, {"id": "q002", "category": "content", "question": "output中是否保留了“阵雨预警”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 阵雨预警又发了 / oral: 阵雨预警又发"}, {"id": "q003", "category": "content", "question": "output中是否保留了“招商”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 还有招商那块堵死了 / oral: 还有招商那块堵死"}, {"id": "q004", "category": "content", "question": "output中是否保留了“人多”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 翠湖那边人多 / oral: 翠湖那边人多"}, {"id": "q005", "category": "content", "question": "output中是否保留了“堵死”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 还有招商那块堵死了 / oral: 还有招商那块堵死"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 然后…那个… / 哎"}]}
{"status": "success", "index": 173, "source_record_id": "recheck.jsonl:288", "source_line": 165, "audio": "audio/daily_chat__recheckjsonl288.wav", "scene": "daily_chat", "language": "zh", "oral": "诶，我刚才弄加湿器开关弄半天，就是本周五下午去绿城之辉财商教育，啊不对，是绿城之辉商场，给咱提供点情绪价值吧哈。", "clean": "我刚才弄加湿器开关弄半天，本周五下午去绿城之辉商场，给咱提供点情绪价值吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“弄加湿器开关”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "弄加湿器开关弄半天"}, {"id": "q002", "category": "content", "question": "output中是否存在“本周五下午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "本周五下午"}, {"id": "q003", "category": "content", "question": "output中是否存在“情绪价值”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "提供点情绪价值"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“绿城之辉财商教育，啊不对，是绿城之辉商场”处理成了“绿城之辉商场”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "绿城之辉财商教育，啊不对，是绿城之辉商场"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，就是，吧哈"}]}
{"status": "success", "index": 172, "source_record_id": "recheck.jsonl:285", "source_line": 163, "audio": "audio/daily_chat__recheckjsonl285.wav", "scene": "daily_chat", "language": "zh", "oral": "诶咱们周末去爬山吧，柏岚说最近风景好，风景好呀。我想想啊，晚上八点一刻钱萌跟金铭道，下周二下周二再一起聚，哈。", "clean": "咱们周末去爬山吧，柏岚说最近风景好。我想想，晚上20:15钱萌跟金铭说，下周二再一起聚。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“周末去爬山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们周末去爬山吧"}, {"id": "q002", "category": "content", "question": "output中是否保留了“柏岚”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 柏岚说最近风景好"}, {"id": "q003", "category": "format", "question": "output中是否将“八点一刻”规范化成了“20:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八点一刻”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 晚上八点一刻, clean: 晚上20:15"}, {"id": "q004", "category": "content", "question": "output中是否保留了“钱萌跟金铭”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 钱萌跟金铭说"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“金铭道”处理成了“金铭说”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了原词但最终结果不完整", "score": 1}, {"text": "仍保留原词", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 金铭道, clean: 金铭说"}, {"id": "q006", "category": "content", "question": "output中是否保留了“下周二再一起聚”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下周二再一起聚"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 风景好呀, 我想想啊, 下周二下周二, 哈"}]}
{"status": "success", "index": 174, "source_record_id": "recheck.jsonl:294", "source_line": 168, "audio": "audio/daily_chat__recheckjsonl294.wav", "scene": "daily_chat", "language": "zh", "oral": "韩梦琪说长乐路长乐路有家店，不对，诚品书店那边，你觉得呢", "clean": "韩梦琪说诚品书店那边有家店，你觉得呢", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“韩梦琪”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: 韩梦琪"}, {"id": "q002", "category": "content", "question": "output中是否存在“诚品书店”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: 诚品书店"}, {"id": "q003", "category": "content", "question": "output中是否存在“有家店”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: 有家店"}, {"id": "q004", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: 你觉得呢"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 长乐路长乐路"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“长乐路，不对，诚品书店那边”处理成了“诚品书店那边”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 长乐路长乐路有家店，不对，诚品书店那边 / clean: 诚品书店那边有家店"}]}
{"status": "success", "index": 175, "source_record_id": "recheck.jsonl:291", "source_line": 166, "audio": "audio/daily_chat__recheckjsonl291.wav", "scene": "daily_chat", "language": "zh", "oral": "诶对了，咱们明天早上跑步哈，我想想啊，之前邢雨桐说那条公交线路那个...公交线路好像得绕路，咱们还是走着去吧。话说去年年底葛萌推荐那家便利店零食，便利店零食真的绝了，跑完咱俩去买点，怎么说呢，就是感觉得奖励下自己嘛。", "clean": "咱们明天早上跑步，之前邢雨桐说那条公交线路好像得绕路，咱们还是走着去吧。去年年底葛萌推荐那家便利店零食真的绝了，跑完咱俩去买点，感觉得奖励下自己嘛。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶对了, 哈, 我想想啊, 那个..., 话说, 便利店零食(重复), 怎么说呢，就是"}, {"id": "q002", "category": "content", "question": "output中是否存在“明天早上跑步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们明天早上跑步"}, {"id": "q003", "category": "content", "question": "output中是否存在“邢雨桐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 之前邢雨桐说"}, {"id": "q004", "category": "content", "question": "output中是否存在“公交线路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那条公交线路"}, {"id": "q005", "category": "content", "question": "output中是否存在“绕路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 好像得绕路"}, {"id": "q006", "category": "content", "question": "output中是否存在“走着去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们还是走着去吧"}, {"id": "q007", "category": "content", "question": "output中是否存在“去年年底”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去年年底"}, {"id": "q008", "category": "content", "question": "output中是否存在“葛萌”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 葛萌推荐"}, {"id": "q009", "category": "content", "question": "output中是否存在“便利店零食”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 便利店零食真的绝了"}, {"id": "q010", "category": "content", "question": "output中是否存在“奖励下自己”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 感觉得奖励下自己嘛"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“公交线路那个...公交线路”处理成了“公交线路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 公交线路那个...公交线路 -> clean: 公交线路"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“便利店零食，便利店零食”处理成了“便利店零食”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 便利店零食，便利店零食 -> clean: 便利店零食"}]}
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{"status": "success", "index": 178, "source_record_id": "recheck.jsonl:305", "source_line": 174, "audio": "audio/dictation_memo__recheckjsonl305.wav", "scene": "dictation_memo", "language": "en", "oral": "Oh by the way, I am emailing a realtor about a property viewing... wait, no, texting a friend to confirm a hike by the middle of next week. I would be gratefull if Abigail could join us in the garden yuan.", "clean": "Oh by the way, I am texting a friend to confirm a hike by the middle of next week. I would be grateful if Abigail could join us in the Garden Yuan.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“emailing a realtor about a property viewing... wait, no, texting a friend”处理成了“texting a friend”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"emailing a realtor about a property viewing... wait, no, texting a friend\"; clean: \"texting a friend\""}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"wait, no\""}, {"id": "q003", "category": "format", "question": "output中是否将“garden yuan”规范化成了“Garden Yuan”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“garden yuan”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"garden yuan\"; clean: \"Garden Yuan\""}, {"id": "q004", "category": "format", "question": "output中是否将“gratefull”规范化成了“grateful”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“gratefull”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"gratefull\"; clean: \"grateful\""}, {"id": "q005", "category": "content", "question": "output中是否存在“confirm a hike”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"confirm a hike\""}, {"id": "q006", "category": "content", "question": "output中是否存在“by the middle of next week”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"by the middle of next week\""}, {"id": "q007", "category": "content", "question": "output中是否存在“Abigail could join us”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Abigail could join us\""}]}
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{"status": "success", "index": 180, "source_record_id": "recheck.jsonl:286", "source_line": 164, "audio": "audio/daily_chat__recheckjsonl286.wav", "scene": "daily_chat", "language": "zh", "oral": "诶我想着与其咱们周末在那保利之辉逛街不如一起去爬山，反正我半年前在九江那边去过一次感觉特别好。我想想啊，咱们那个…要是能早点出发，怎么说呢，比每月第一天去挤人山人海要强多了。对了我得先去趟邮储银行取点钱，等我办完到家就给你发消息哈，咱们到时候在那个山苑门口见。", "clean": "我想着与其咱们周末在保利之辉逛街，不如一起去爬山，反正我半年前在九江那边去过一次感觉特别好。咱们要是能早点出发，比每月1日去挤人山人海要强多了。我得先去趟邮储银行取点钱，等我办完到家就给你发消息，咱们到时候在山苑门口见。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“保利之辉”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "保利之辉"}, {"id": "q002", "category": "content", "question": "output中是否存在“爬山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "爬山"}, {"id": "q003", "category": "content", "question": "output中是否存在“九江”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "九江"}, {"id": "q004", "category": "content", "question": "output中是否存在“人山人海”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "人山人海"}, {"id": "q005", "category": "content", "question": "output中是否存在“邮储银行”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "邮储银行"}, {"id": "q006", "category": "content", "question": "output中是否存在“山苑门口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "山苑门口"}, {"id": "q007", "category": "format", "question": "output中是否将“每月第一天”规范化成了“每月1日”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“每月第一天”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "每月第一天 -> 每月1日"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶, 我想想啊, 那个, 怎么说呢, 对了, 哈"}]}
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{"status": "success", "index": 182, "source_record_id": "recheck.jsonl:298", "source_line": 170, "audio": "audio/daily_chat__recheckjsonl298.wav", "scene": "daily_chat", "language": "zh", "oral": "诶今天地铁真的挤爆了，陆峰说月底之前要搞定动漫展那个事儿，结果他早起习惯太差，得十点，啊不对，是十点半才起，我想想，反正他这种…就是说…得赶紧跟任悠悠对一下进度，你觉得呢？", "clean": "今天地铁真的挤爆了，陆峰说月底之前要搞定动漫展那个事儿，结果他早起习惯太差，10:30才起，他得赶紧跟任悠悠对一下进度，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“陆峰”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 陆峰"}, {"id": "q002", "category": "content", "question": "output中是否存在“月底之前”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 月底之前"}, {"id": "q003", "category": "content", "question": "output中是否存在“动漫展”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 动漫展"}, {"id": "q004", "category": "content", "question": "output中是否存在“任悠悠”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 任悠悠"}, {"id": "q005", "category": "format", "question": "output中是否将“十点半”规范化成了“10:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 十点半, clean: 10:30"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 我想想, 反正他这种…就是说…"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“得十点，啊不对，是十点半”处理成了“10:30”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 得十点，啊不对，是十点半, clean: 10:30"}]}
{"status": "success", "index": 184, "source_record_id": "recheck.jsonl:309", "source_line": 176, "audio": "audio/dictation_memo__recheckjsonl309.wav", "scene": "dictation_memo", "language": "en", "oral": "So Isabella was telling me she was texting a friend about a gym class and said just wanted to touch base. Now why use that? It sounds like I am writing to thank you for a business meeting. Oh wait, she was sending a text to her partner about grocery items... no, not partner, her roommate! Anyway, it just feels way too formal for a casual chat, right?", "clean": "Isabella was telling me she was texting a friend about a gym class and said just wanted to touch base. Now why use that? It sounds like I am writing to thank you for a business meeting. She was sending a text to her roommate about grocery items. Anyway, it just feels way too formal for a casual chat, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, Oh wait"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“her partner... no, not partner, her roommate”处理成了“her roommate”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "her partner about grocery items... no, not partner, her roommate! -> her roommate about grocery items."}, {"id": "q003", "category": "format", "question": "output中是否将人名“Isabella”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Isabella"}, {"id": "q004", "category": "content", "question": "output中是否存在“touch base”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "just wanted to touch base"}, {"id": "q005", "category": "content", "question": "output中是否存在“grocery items”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "about grocery items"}, {"id": "q006", "category": "content", "question": "output中是否存在“casual chat”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "for a casual chat"}]}
{"status": "success", "index": 183, "source_record_id": "recheck.jsonl:312", "source_line": 177, "audio": "audio/dictation_memo__recheckjsonl312.wav", "scene": "dictation_memo", "language": "en", "oral": "Actually, uh, the address is eight zero eight Synergy Lane, Atlanta, Georgia three zero three zero eight. I'm looking forward to... let me see... writing a list of packing essentials for skiing, and texting sibling about family gift, just, yeah, by tomorrow noon, ha.", "clean": "The address is 808 Synergy Lane, Atlanta, Georgia 30308. I'm looking forward to writing a list of packing essentials for skiing, and texting sibling about family gift by tomorrow noon.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, uh; let me see; just, yeah; ha"}, {"id": "q002", "category": "format", "question": "output中是否将“eight zero eight”规范化成了“808”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight zero eight”", "score": 0}, {"text": "不存在该词或对应的数字", "score": -1}], "evidence": "eight zero eight -> 808"}, {"id": "q003", "category": "format", "question": "output中是否将“three zero three zero eight”规范化成了“30308”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three zero three zero eight”", "score": 0}, {"text": "不存在该词或对应的数字", "score": -1}], "evidence": "three zero three zero eight -> 30308"}, {"id": "q004", "category": "content", "question": "output中是否存在“Synergy Lane”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Synergy Lane"}, {"id": "q005", "category": "content", "question": "output中是否存在“packing essentials for skiing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "packing essentials for skiing"}, {"id": "q006", "category": "content", "question": "output中是否存在“texting sibling about family gift”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "texting sibling about family gift"}, {"id": "q007", "category": "content", "question": "output中是否存在“by tomorrow noon”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "by tomorrow noon"}]}
{"status": "success", "index": 185, "source_record_id": "recheck.jsonl:313", "source_line": 178, "audio": "audio/dictation_memo__recheckjsonl313.wav", "scene": "dictation_memo", "language": "en", "oral": "Need to set follow up on the twelfth of October. I'll text coworker about broken printer and... wait, send email to vendor requesting quote first. Also need note for workout goal. Oh, and tell Sarah I'm sorry to hear that. Does that sound okay to you or should I change something?", "clean": "Need to set follow up on October 12. I'll text coworker about broken printer and send email to vendor requesting quote first. Also need note for workout goal. Oh, and tell Sarah I'm sorry to hear that. Does that sound okay to you or should I change something?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“the twelfth of October”规范化成了“October 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“the twelfth of October”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"the twelfth of October\", clean: \"October 12\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“and... wait, send email”处理成了“and send email”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"and... wait, send email\", clean: \"and send email\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"and... wait,\", clean: \"and\""}, {"id": "q004", "category": "content", "question": "output中是否存在“follow up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"follow up\""}, {"id": "q005", "category": "content", "question": "output中是否存在“text coworker about broken printer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"text coworker about broken printer\""}, {"id": "q006", "category": "content", "question": "output中是否存在“send email to vendor requesting quote”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"send email to vendor requesting quote\""}, {"id": "q007", "category": "content", "question": "output中是否存在“note for workout goal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"note for workout goal\""}, {"id": "q008", "category": "content", "question": "output中是否存在“tell Sarah I'm sorry to hear that”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"tell Sarah I'm sorry to hear that\""}, {"id": "q009", "category": "content", "question": "output中是否存在“Does that sound okay to you or should I change something”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Does that sound okay to you or should I change something\""}]}
{"status": "success", "index": 186, "source_record_id": "recheck.jsonl:315", "source_line": 180, "audio": "audio/dictation_memo__recheckjsonl315.wav", "scene": "dictation_memo", "language": "en", "oral": "Meeting tomorrow. Tomorrow at twelve thirty PM. More like... more like chat than pitch. Address three hundred thirty three Market Street. Market Street, Philadelphia, PA one nine zero seven. Email at sign. Texting teammate. Teammate about game strategy. In about twenty minutes.", "clean": "Meeting tomorrow at 12:30pm. More like a chat than a pitch. Address 333 Market Street, Philadelphia, PA 1907. Email @. Texting teammate about game strategy in about 20 minutes.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“twelve thirty PM”规范化成了“12:30pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve thirty PM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twelve thirty PM\" -> clean: \"12:30pm\""}, {"id": "q002", "category": "format", "question": "output中是否将“three hundred thirty three”规范化成了“333”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred thirty three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"three hundred thirty three\" -> clean: \"333\""}, {"id": "q003", "category": "format", "question": "output中是否将“one nine zero seven”规范化成了“1907”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one nine zero seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"one nine zero seven\" -> clean: \"1907\""}, {"id": "q004", "category": "format", "question": "output中是否将“at sign”规范化成了“@”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“at sign”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"at sign\" -> clean: \"@\""}, {"id": "q005", "category": "format", "question": "output中是否将“twenty”规范化成了“20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty\" -> clean: \"20\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Tomorrow. Tomorrow\", \"more like... more like\", \"Market Street. Market Street\", \"teammate. Teammate\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“More like... more like”处理成了“More like”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"More like... more like\" -> clean: \"More like\""}, {"id": "q008", "category": "content", "question": "output中是否存在“chat than pitch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"chat than pitch\""}, {"id": "q009", "category": "content", "question": "output中是否存在“game strategy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"game strategy\""}, {"id": "q010", "category": "content", "question": "output中是否存在“Philadelphia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Philadelphia\""}]}
{"status": "success", "index": 188, "source_record_id": "recheck.jsonl:314", "source_line": 179, "audio": "audio/dictation_memo__recheckjsonl314.wav", "scene": "dictation_memo", "language": "en", "oral": "Oh! Right, need to send text to sister about flight details and remember to pay electric bill. Also, insert link for that medical portal. The address for the specialist is five hundred fifty five Gold Mine Road, Reno, Nevada eight nine five zero one. I have to be there in five hours, wait, no, actually in five hours from now.", "clean": "Right, need to send text to sister about flight details and remember to pay electric bill. Also, insert link for that medical portal. The address for the specialist is 555 Gold Mine Road, Reno, Nevada 89501. I have to be there in 5 hours from now.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Oh!"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred fifty five”规范化成了“555”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred fifty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred fifty five -> 555"}, {"id": "q003", "category": "format", "question": "output中是否将“eight nine five zero one”规范化成了“89501”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight nine five zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eight nine five zero one -> 89501"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“in five hours, wait, no, actually in five hours from now”处理成了“in 5 hours from now”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "in five hours, wait, no, actually in five hours from now -> in 5 hours from now"}, {"id": "q005", "category": "content", "question": "output中是否存在“send text to sister about flight details”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "send text to sister about flight details"}, {"id": "q006", "category": "content", "question": "output中是否存在“pay electric bill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "pay electric bill"}, {"id": "q007", "category": "content", "question": "output中是否存在“insert link for that medical portal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "insert link for that medical portal"}, {"id": "q008", "category": "content", "question": "output中是否存在“Gold Mine Road, Reno, Nevada”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Gold Mine Road, Reno, Nevada"}]}
{"status": "success", "index": 187, "source_record_id": "recheck.jsonl:318", "source_line": 181, "audio": "audio/dictation_memo__recheckjsonl318.wav", "scene": "dictation_memo", "language": "en", "oral": "I need reminder to schedule oil change and Zara... Zara needs a voice memo for project brainstorming this coming Wednesday. Also email to vendor about warranty. Wait... email the vendor... the warranty email. Anyway, main thing is just feed the cat twice day.", "clean": "I need a reminder to schedule an oil change, and Zara needs a voice memo for project brainstorming this coming Wednesday. Also, email the vendor about the warranty. Anyway, the main thing is just feed the cat twice a day.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Zara... Zara, Wait... email the vendor... the warranty email."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Zara... Zara”处理成了“Zara”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Zara... Zara needs -> Zara needs"}, {"id": "q003", "category": "rephrase", "question": "output中是否去除了“Wait... email the vendor... the warranty email.”这段自我纠正和重复的话语？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Wait... email the vendor... the warranty email. -> (deleted)"}, {"id": "q004", "category": "content", "question": "output中是否存在“schedule an oil change”或“schedule oil change”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "schedule oil change / schedule an oil change"}, {"id": "q005", "category": "content", "question": "output中是否存在“voice memo for project brainstorming”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "voice memo for project brainstorming"}, {"id": "q006", "category": "content", "question": "output中是否存在“this coming Wednesday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "this coming Wednesday"}, {"id": "q007", "category": "content", "question": "output中是否存在“email the vendor about the warranty”或“email to vendor about warranty”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "email to vendor about warranty / email the vendor about the warranty"}, {"id": "q008", "category": "content", "question": "output中是否存在“feed the cat twice a day”或“feed the cat twice day”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "feed the cat twice day / feed the cat twice a day"}, {"id": "q009", "category": "format", "question": "output中是否将专有名词“Zara”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zara”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Zara"}]}
{"status": "success", "index": 189, "source_record_id": "recheck.jsonl:321", "source_line": 184, "audio": "audio/dictation_memo__recheckjsonl321.wav", "scene": "dictation_memo", "language": "en", "oral": "Honestly, send to hiring manager, send to hiring manager, just... a email to bank regarding dispute, for the dispute, and maybe... texting friend apologize late. Oh, drafting newsletter for subscribers, for subscribers... writing note for grocery store budget, two hundred dollars budget, in the budget, write it in the budjet... wait, just write it in the budjet.", "clean": "Honestly, send an email to the hiring manager, an email to the bank regarding the dispute, and maybe text a friend to apologize for being late. Also, draft a newsletter for subscribers and write a note for the grocery store budget, a $200 budget.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“send an email to the hiring manager”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: send an email to the hiring manager"}, {"id": "q002", "category": "content", "question": "output中是否存在“an email to the bank regarding the dispute”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: an email to the bank regarding the dispute"}, {"id": "q003", "category": "content", "question": "output中是否存在“text a friend to apologize for being late”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: text a friend to apologize for being late"}, {"id": "q004", "category": "content", "question": "output中是否存在“draft a newsletter for subscribers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: draft a newsletter for subscribers"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred dollars”规范化成了“$200”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two hundred dollars budget; clean: a $200 budget"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: send to hiring manager, send to hiring manager; for the dispute; for subscribers, for subscribers; Oh; budjet... wait"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“write it in the budjet... wait, just write it in the budjet”处理成了“write a note for the grocery store budget”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: write it in the budjet... wait, just write it in the budjet; clean: write a note for the grocery store budget"}]}
{"status": "success", "index": 190, "source_record_id": "recheck.jsonl:322", "source_line": 185, "audio": "audio/dictation_memo__recheckjsonl322.wav", "scene": "dictation_memo", "language": "en", "oral": "I need to finish my to do list. Just wanted to touch base with Grayson... Grayson about the refund email... oh no, email to customer about refund. Put an asterisk asterisk next to it. Put that note for a book reading list in the new... new folder... wait, not new folder, current folder. Send it by five o clock today.", "clean": "I need to finish my to do list:\n1. Touch base with Grayson about the email to customer about refund. Put ** next to it.\n2. Put that note for a book reading list in the current folder.\n3. Send it by 5:00 today.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“touch base with Grayson”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'Touch base with Grayson' / oral: 'touch base with Grayson... Grayson'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“email to customer about refund”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'email to customer about refund' / oral: 'email to customer about refund'"}, {"id": "q003", "category": "content", "question": "output中是否保留了“book reading list”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'book reading list' / oral: 'book reading list'"}, {"id": "q004", "category": "format", "question": "output中是否将“asterisk”规范化成了“**”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“asterisk”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '**' / oral: 'asterisk asterisk'"}, {"id": "q005", "category": "format", "question": "output中是否将“five o clock”规范化成了“5:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five o clock”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '5:00' / oral: 'five o clock'"}, {"id": "q006", "category": "format", "question": "output中是否将待办事项规范化成了带有“1.”、“2.”、“3.”的列表格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在待办事项内容", "score": 0}, {"text": "不存在待办事项或规范化结果", "score": -1}], "evidence": "clean: '1. ... 2. ... 3. ...' / oral: 无明确序号，但为待办事项"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Grayson... Grayson', 'new... new folder', 'oh no', 'wait'"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“Grayson... Grayson”处理成了“Grayson”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 'Grayson' / oral: 'Grayson... Grayson'"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“refund email... oh no, email to customer about refund”处理成了“email to customer about refund”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 'email to customer about refund' / oral: 'refund email... oh no, email to customer about refund'"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“new... new folder... wait, not new folder, current folder”处理成了“current folder”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 'current folder' / oral: 'new... new folder... wait, not new folder, current folder'"}]}
{"status": "success", "index": 192, "source_record_id": "recheck.jsonl:327", "source_line": 189, "audio": "audio/dictation_memo__recheckjsonl327.wav", "scene": "dictation_memo", "language": "en", "oral": "First, three hundred thirty three Rose Garden. Pasadena, California nine one one zero one. Then, tomorrow at ten AM... oh no, nine AM. Finally, eight PM this Friday. Just heads up. Drafting request for refund.", "clean": "1. 333 Rose Garden, Pasadena, California 91101\n2. Tomorrow at 9am\n3. 8pm this Friday\n\nJust heads up. Drafting request for refund.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Rose Garden”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '333 Rose Garden'; oral: 'three hundred thirty three Rose Garden'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Pasadena”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Pasadena'; oral: 'Pasadena'"}, {"id": "q003", "category": "content", "question": "output中是否保留了“California”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'California'; oral: 'California'"}, {"id": "q004", "category": "format", "question": "output中是否将“three hundred thirty three”规范化成了“333”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred thirty three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '333'; oral: 'three hundred thirty three'"}, {"id": "q005", "category": "format", "question": "output中是否将“nine one one zero one”规范化成了“91101”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine one one zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '91101'; oral: 'nine one one zero one'"}, {"id": "q006", "category": "format", "question": "output中是否将“First”规范化成了“1.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“First”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '1.'; oral: 'First'"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“ten AM... oh no, nine AM”处理成了“9am”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: '9am'; oral: 'ten AM... oh no, nine AM'"}, {"id": "q008", "category": "format", "question": "output中是否将“eight PM”规范化成了“8pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight PM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '8pm'; oral: 'eight PM'"}, {"id": "q009", "category": "content", "question": "output中是否保留了“this Friday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'this Friday'; oral: 'this Friday'"}, {"id": "q010", "category": "content", "question": "output中是否保留了“heads up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'heads up'; oral: 'heads up'"}, {"id": "q011", "category": "content", "question": "output中是否保留了“Drafting request for refund”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Drafting request for refund'; oral: 'Drafting request for refund'"}, {"id": "q012", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'oh no' 等口语词及重复修正过程"}]}
{"status": "success", "index": 191, "source_record_id": "recheck.jsonl:320", "source_line": 183, "audio": "audio/dictation_memo__recheckjsonl320.wav", "scene": "dictation_memo", "language": "en", "oral": "Um, so for the blog, I want to start with what Sarah told me, she was like, we need to meet next Saturday at four PM at four zero four Elm Street, Boston, Massachusetts zero two one zero eight. Now, thinking about that, it feels way too rushed. I mean, I'll probably be drafting a formal apology to a client in about twenty minutes, so my head is already spinning. I should probably push our brainstorm to next Wednesday morning instead. Actually, let's just say next Wednesday... yeah, morning works better. I just need some space to breathe before we dive into the strategy.", "clean": "For the blog, I want to start with what Sarah told me: we need to meet next Saturday at 4pm at 404 Elm Street, Boston, Massachusetts 02108. Now, thinking about that, it feels way too rushed. I'll probably be drafting a formal apology to a client in about 20 minutes, so my head is already spinning. I should probably push our brainstorm to next Wednesday morning instead. Let's just say next Wednesday morning works better. I just need some space to breathe before we dive into the strategy.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“four PM”规范化成了“4pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four PM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four PM\", clean: \"4pm\""}, {"id": "q002", "category": "format", "question": "output中是否将“four zero four”规范化成了“404”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four zero four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four zero four\", clean: \"404\""}, {"id": "q003", "category": "format", "question": "output中是否将“zero two one zero eight”规范化成了“02108”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero two one zero eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"zero two one zero eight\", clean: \"02108\""}, {"id": "q004", "category": "format", "question": "output中是否将“twenty minutes”规范化成了“20 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty minutes\", clean: \"20 minutes\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Um, so\", \"she was like\", \"I mean\", \"Actually\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Actually, let's just say next Wednesday... yeah, morning works better.”处理成了“Let's just say next Wednesday morning works better.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Actually, let's just say next Wednesday... yeah, morning works better.\", clean: \"Let's just say next Wednesday morning works better.\""}, {"id": "q007", "category": "content", "question": "output中是否存在“for the blog”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"For the blog\""}, {"id": "q008", "category": "content", "question": "output中是否存在“start with what Sarah told me”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"start with what Sarah told me\""}, {"id": "q009", "category": "content", "question": "output中是否存在“we need to meet next Saturday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"we need to meet next Saturday\""}, {"id": "q010", "category": "content", "question": "output中是否存在“Elm Street, Boston, Massachusetts”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Elm Street, Boston, Massachusetts\""}, {"id": "q011", "category": "content", "question": "output中是否存在“feels way too rushed”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"feels way too rushed\""}, {"id": "q012", "category": "content", "question": "output中是否存在“drafting a formal apology to a client”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"drafting a formal apology to a client\""}, {"id": "q013", "category": "content", "question": "output中是否存在“head is already spinning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"head is already spinning\""}, {"id": "q014", "category": "content", "question": "output中是否存在“push our brainstorm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"push our brainstorm\""}, {"id": "q015", "category": "content", "question": "output中是否存在“space to breathe before we dive into the strategy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"space to breathe before we dive into the strategy\""}]}
{"status": "success", "index": 193, "source_record_id": "recheck.jsonl:319", "source_line": 182, "audio": "audio/dictation_memo__recheckjsonl319.wav", "scene": "dictation_memo", "language": "en", "oral": "Okay, so for the blog post, if I can just... let me think... if I can finish the first three sections, then we could probably insert link to the portfolio by the end of the week. I just need to stop texting a coach about practice and actually focus. Wait, no, I should first finish drafting apology to neighbor for loud music because that is way more urgent. Oh, and I need to check in with Mila about the... the layout... actually, maybe just ask her to review the draft on Friday. I'll try to get it all done by Friday night, though I'm not sure if that is possible.", "clean": "For the blog post, if I can finish the first 3 sections, then we could probably insert a link to the portfolio by the end of the week. I just need to stop texting a coach about practice and actually focus. I should first finish drafting an apology to my neighbor for loud music because that is way more urgent. Oh, and I need to check in with Mila and maybe just ask her to review the draft on Friday. I'll try to get it all done by Friday night, though I'm not sure if that is possible.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Okay, so', 'just... let me think...', 'Wait, no', 'the... the'"}, {"id": "q002", "category": "format", "question": "output中是否将“first three sections”规范化成了“first 3 sections”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“first three sections”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'first three sections', clean: 'first 3 sections'"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Wait, no, I should first finish drafting apology”处理成了“I should first finish drafting an apology”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'Wait, no, I should first finish drafting apology', clean: 'I should first finish drafting an apology'"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“check in with Mila about the... the layout... actually, maybe just ask her”处理成了“check in with Mila and maybe just ask her”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'check in with Mila about the... the layout... actually, maybe just ask her', clean: 'check in with Mila and maybe just ask her'"}, {"id": "q005", "category": "content", "question": "output中是否存在“insert a link to the portfolio by the end of the week”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'insert a link to the portfolio by the end of the week'"}, {"id": "q006", "category": "content", "question": "output中是否存在“stop texting a coach about practice”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'stop texting a coach about practice'"}, {"id": "q007", "category": "content", "question": "output中是否存在“drafting an apology to my neighbor for loud music”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'drafting an apology to my neighbor for loud music'"}, {"id": "q008", "category": "content", "question": "output中是否存在“review the draft on Friday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'review the draft on Friday'"}]}
{"status": "success", "index": 195, "source_record_id": "recheck.jsonl:325", "source_line": 188, "audio": "audio/dictation_memo__recheckjsonl325.wav", "scene": "dictation_memo", "language": "en", "oral": "Gift for Jackson. Maybe something for drafting a formal letter of intent... drafting a formal letter of intent. Address is seven eighty... no, seven ninety... wait wrong, seven eighty nine Ocean Drive Miami Florida three three one three nine. He was texting a teammate... texting a teammate about the play this coming... this coming Monday... no, Tuesday evening.", "clean": "Gift for Jackson. Maybe something for drafting a formal letter of intent. Address is 789 Ocean Drive, Miami, Florida 33139. He was texting a teammate about the play this coming Tuesday evening.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Gift for Jackson”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Gift for Jackson.\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“formal letter of intent”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"formal letter of intent\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“texting a teammate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"texting a teammate\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“about the play”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"about the play\""}, {"id": "q005", "category": "format", "question": "output中是否将“seven eighty nine”规范化成了“789”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven eighty nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"seven eighty nine\", clean: \"789\""}, {"id": "q006", "category": "format", "question": "output中是否将“three three one three nine”规范化成了“33139”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three three one three nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"three three one three nine\", clean: \"33139\""}, {"id": "q007", "category": "format", "question": "output中是否将“Ocean Drive Miami Florida”规范化成了“Ocean Drive, Miami, Florida”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Ocean Drive Miami Florida”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Ocean Drive Miami Florida\", clean: \"Ocean Drive, Miami, Florida\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"drafting a formal letter of intent... drafting a formal letter of intent.\", \"texting a teammate... texting a teammate\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“seven eighty... no, seven ninety... wait wrong, seven eighty nine”处理成了“789”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"seven eighty... no, seven ninety... wait wrong, seven eighty nine\", clean: \"789\""}, {"id": "q010", "category": "rephrase", "question": "output中是否将“Monday... no, Tuesday evening”处理成了“Tuesday evening”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Monday... no, Tuesday evening\", clean: \"Tuesday evening\""}]}
{"status": "success", "index": 197, "source_record_id": "recheck.jsonl:329", "source_line": 190, "audio": "audio/dictation_memo__recheckjsonl329.wav", "scene": "dictation_memo", "language": "en", "oral": "Need to send voice memo for project timeline, and uh, email recruiter after interview. Also, emailing bookstore about pre order. I should... actually, just note down four zero four zero Ocean Boulevard, Long Beach, California nine zero eight zero two, at midnight on New Year's.", "clean": "Need to send voice memo for project timeline, and email recruiter after interview. Also, emailing bookstore about pre order. I should just note down 4040 Ocean Boulevard, Long Beach, California 90802, at midnight on New Year's.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“send voice memo for project timeline”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"send voice memo for project timeline\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“email recruiter after interview”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"email recruiter after interview\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“emailing bookstore about pre order”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"emailing bookstore about pre order\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“Ocean Boulevard, Long Beach, California”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"Ocean Boulevard, Long Beach, California\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“midnight on New Year's”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"midnight on New Year's\""}, {"id": "q006", "category": "format", "question": "output中是否将“four zero four zero”规范化成了“4040”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four zero four zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four zero four zero\", clean: \"4040\""}, {"id": "q007", "category": "format", "question": "output中是否将“nine zero eight zero two”规范化成了“90802”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine zero eight zero two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"nine zero eight zero two\", clean: \"90802\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh\", \"I should... actually,\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“I should... actually, just note down”处理成了“I should just note down”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"I should... actually, just note down\", clean: \"I should just note down\""}]}
{"status": "success", "index": 196, "source_record_id": "recheck.jsonl:330", "source_line": 191, "audio": "audio/dictation_memo__recheckjsonl330.wav", "scene": "dictation_memo", "language": "en", "oral": "Honestly, I need to text friend about baby shower, text friend about baby shower, and maybe do it at dawn. I've been waking up every Monday morning, every Monday morning, to write. Let's see, Charles is at one Infinite Loop, Cupertino, California nine five zero one four.", "clean": "Honestly, I need to text friend about baby shower, and maybe do it at dawn. I've been waking up every Monday morning to write. Let's see, Charles is at 1 Infinite Loop, Cupertino, California 95014.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Honestly”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Honestly"}, {"id": "q002", "category": "content", "question": "output中是否存在“text friend about baby shower”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "text friend about baby shower"}, {"id": "q003", "category": "content", "question": "output中是否存在“do it at dawn”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "do it at dawn"}, {"id": "q004", "category": "content", "question": "output中是否存在“waking up every Monday morning to write”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "waking up every Monday morning to write"}, {"id": "q005", "category": "content", "question": "output中是否存在“Charles”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Charles"}, {"id": "q006", "category": "format", "question": "output中是否将“one Infinite Loop”规范化成了“1 Infinite Loop”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one Infinite Loop”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one Infinite Loop -> 1 Infinite Loop"}, {"id": "q007", "category": "format", "question": "output中是否将“nine five zero one four”规范化成了“95014”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine five zero one four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "nine five zero one four -> 95014"}, {"id": "q008", "category": "format", "question": "output中是否将“Cupertino, California”保持了首字母大写的格式？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Cupertino, California"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "text friend about baby shower, text friend about baby shower; every Monday morning, every Monday morning"}]}
{"status": "success", "index": 194, "source_record_id": "recheck.jsonl:323", "source_line": 186, "audio": "audio/dictation_memo__recheckjsonl323.wav", "scene": "dictation_memo", "language": "en", "oral": "First, note the Phoenix office at five zero five Ash Street, Phoenix, Arizona eight five zero zero one. Then, uh, we need to... how should I put this... update the Napa site to five five five Vineyard Road, Napa, California nine four five five eight. Oh no, wait, eight four five five eight. Finally, emailing vendor about shipment delay for eight zero eight Liberty Avenue, Philadelphia, Pennsylvania one nine one zero one by next payday.", "clean": "1. Note the Phoenix office at 505 Ash Street, Phoenix, Arizona 85001\n2. Update the Napa site to 555 Vineyard Road, Napa, California 84558\n3. Emailing vendor about shipment delay for 808 Liberty Avenue, Philadelphia, Pennsylvania 19101 by next payday", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Phoenix office”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Phoenix office"}, {"id": "q002", "category": "content", "question": "output中是否存在“Ash Street”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Ash Street"}, {"id": "q003", "category": "format", "question": "output中是否将“five zero five”规范化成了“505”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five zero five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five zero five -> 505"}, {"id": "q004", "category": "format", "question": "output中是否将“eight five zero zero one”规范化成了“85001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight five zero zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eight five zero zero one -> 85001"}, {"id": "q005", "category": "content", "question": "output中是否存在“Napa site”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Napa site"}, {"id": "q006", "category": "content", "question": "output中是否存在“Vineyard Road”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Vineyard Road"}, {"id": "q007", "category": "format", "question": "output中是否将“five five five”规范化成了“555”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five five five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five five five -> 555"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“nine four five five eight. Oh no, wait, eight four five five eight”处理成了“84558”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "nine four five five eight. Oh no, wait, eight four five five eight -> 84558"}, {"id": "q009", "category": "content", "question": "output中是否存在“emailing vendor”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "emailing vendor"}, {"id": "q010", "category": "content", "question": "output中是否存在“shipment delay”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "shipment delay"}, {"id": "q011", "category": "format", "question": "output中是否将“eight zero eight”规范化成了“808”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight zero eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eight zero eight -> 808"}, {"id": "q012", "category": "format", "question": "output中是否将“one nine one zero one”规范化成了“19101”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one nine one zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one nine one zero one -> 19101"}, {"id": "q013", "category": "content", "question": "output中是否存在“Liberty Avenue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Liberty Avenue"}, {"id": "q014", "category": "content", "question": "output中是否存在“next payday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "next payday"}, {"id": "q015", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, how should I put this, Oh no, wait"}, {"id": "q016", "category": "content", "question": "output中是否存在“Philadelphia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Philadelphia"}, {"id": "q017", "category": "content", "question": "output中是否存在“Pennsylvania”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Pennsylvania"}, {"id": "q018", "category": "content", "question": "output中是否存在“Note”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Note"}, {"id": "q019", "category": "content", "question": "output中是否存在“Update”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Update"}]}
{"status": "success", "index": 198, "source_record_id": "recheck.jsonl:333", "source_line": 194, "audio": "audio/dictation_memo__recheckjsonl333.wav", "scene": "dictation_memo", "language": "en", "oral": "Actually, writing a list... writing a list for Tokyo. Hey, in thirty... no, half an hour, touch base touch base. Note parking spot garage.", "clean": "Writing a list for Tokyo. In half an hour, touch base. Note parking spot garage.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Writing a list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Writing a list"}, {"id": "q002", "category": "content", "question": "output中是否保留了“touch base”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "touch base"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Note parking spot garage”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Note parking spot garage"}, {"id": "q004", "category": "format", "question": "output中是否将“Tokyo”首字母大写进行了规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Tokyo”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Tokyo"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, writing a list... writing a list; Hey; touch base touch base"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“in thirty... no, half an hour”处理成了“half an hour”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "in thirty... no, half an hour"}]}
{"status": "success", "index": 200, "source_record_id": "recheck.jsonl:338", "source_line": 198, "audio": "audio/dictation_memo__recheckjsonl338.wav", "scene": "dictation_memo", "language": "en", "oral": "Sarah, hope you're having great week. Lunch... no, email vendor bulk pricing.", "clean": "Sarah, hope you're having a great week. Email vendor bulk pricing.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Sarah”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Sarah' / oral: 'Sarah'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“hope you're having a great week”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'hope you're having a great week.' / oral: 'hope you're having great week.'"}, {"id": "q003", "category": "format", "question": "output中是否将句首的“email”规范化为首字母大写的“Email”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“email”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: 'Email vendor...' / oral: 'email vendor...'"}, {"id": "q004", "category": "content", "question": "output中是否保留了“vendor bulk pricing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'vendor bulk pricing.' / oral: 'vendor bulk pricing.'"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Lunch... no,' (自我纠正已在rephrase处理，此处考察无意义口语词或重复)"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Lunch... no, email”处理成了“Email”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'Lunch... no, email' / clean: 'Email'"}]}
{"status": "success", "index": 199, "source_record_id": "recheck.jsonl:324", "source_line": 187, "audio": "audio/dictation_memo__recheckjsonl324.wav", "scene": "dictation_memo", "language": "en", "oral": "Hmm, today was just a blur. I spent way too long texting a friend to ask if they're awake, just to see if we could grab coffee. Then I had to go to one one one one Pennsylvania Avenue, Washington, DC two zero zero zero four... wait, no, it was one one zero one Pennsylvania Avenue, Washington, DC two zero zero zero four. I was there to meet Jack. I...I told him I'm following up on my application, but he was busy. If Luca... if Luca comes back tomorrow, then we could maybe try to reschedule. I mean, I think think the timing was just off, ya know? My head is just... just spinning from all the travel. I really need to call Luca... call Luca again tomorrow morning.", "clean": "Today was just a blur. I spent way too long texting a friend to ask if they're awake, just to see if we could grab coffee. Then I had to go to 1101 Pennsylvania Avenue, Washington, D.C. 20004. I was there to meet Jack. I told him I'm following up on my application, but he was busy. If Luca comes back tomorrow, then we could maybe try to reschedule. I think the timing was just off. My head is just spinning from all the travel. I really need to call Luca again tomorrow morning.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“one one zero one”规范化成了“1101”？", "options": "进行了相同或合理的规范化(1)，没有进行规范化但存在“one one zero one”(0)，不存在这个词或规范化结果(-1)", "evidence": "one one zero one -> 1101"}, {"id": "q002", "category": "format", "question": "output中是否将“Washington, DC”规范化成了“Washington, D.C.”？", "options": "进行了相同或合理的规范化(1)，没有进行规范化但存在“Washington, DC”(0)，不存在这个词或规范化结果(-1)", "evidence": "Washington, DC -> Washington, D.C."}, {"id": "q003", "category": "format", "question": "output中是否将“two zero zero zero four”规范化成了“20004”？", "options": "进行了相同或合理的规范化(1)，没有进行规范化但存在“two zero zero zero four”(0)，不存在这个词或规范化结果(-1)", "evidence": "two zero zero zero four -> 20004"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": "不存在(2)，仍存在(0)", "evidence": "Hmm, I...I, ya know?, just... just, Luca... call Luca"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“one one one one Pennsylvania Avenue... wait, no, it was one one zero one Pennsylvania Avenue”处理成了“1101 Pennsylvania Avenue”？", "options": "进行了相同处理(2)，去除了解释性语句但没保留最终结果(1)，没有去除(0)，output中没有相关话语(-1)", "evidence": "one one one one Pennsylvania Avenue... wait, no, it was one one zero one Pennsylvania Avenue -> 1101 Pennsylvania Avenue"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“I mean, I think think the timing was just off, ya know?”处理成了“I think the timing was just off.”？", "options": "进行了相同处理(2)，去除了解释性语句但没保留最终结果(1)，没有去除(0)，output中没有相关话语(-1)", "evidence": "I mean, I think think the timing was just off, ya know? -> I think the timing was just off."}, {"id": "q007", "category": "content", "question": "output中是否存在“grab coffee”？", "options": "有(1)，没有这个词或只有一部分(0)，和这个词含义相反（-1）", "evidence": "grab coffee"}, {"id": "q008", "category": "content", "question": "output中是否存在“meet Jack”？", "options": "有(1)，没有这个词或只有一部分(0)，和这个词含义相反（-1）", "evidence": "meet Jack"}, {"id": "q009", "category": "content", "question": "output中是否存在“following up on my application”？", "options": "有(1)，没有这个词或只有一部分(0)，和这个词含义相反（-1）", "evidence": "following up on my application"}, {"id": "q010", "category": "content", "question": "output中是否存在“reschedule”？", "options": "有(1)，没有这个词或只有一部分(0)，和这个词含义相反（-1）", "evidence": "reschedule"}, {"id": "q011", "category": "content", "question": "output中是否存在“spinning from all the travel”？", "options": "有(1)，没有这个词或只有一部分(0)，和这个词含义相反（-1）", "evidence": "spinning from all the travel"}]}
{"status": "success", "index": 201, "source_record_id": "recheck.jsonl:331", "source_line": 192, "audio": "audio/dictation_memo__recheckjsonl331.wav", "scene": "dictation_memo", "language": "en", "oral": "What else do I need to pack? Oh right, just... uh... gotta remember to send that email to teacher about sick child before leaving for four hundred fifty six Corporate Plaza, Dallas, Texas seven five two zero one. And, let me see, I need to be up by six A M to handle texting coach about practice time. Then I gotta mail the package to six hundred six Birch Boulevard, Boston, Massachusetts zero two one zero eight. I think I got everything now, right?", "clean": "What else do I need to pack? Oh right, just gotta remember to send that email to teacher about sick child before leaving for 456 Corporate Plaza, Dallas, Texas 75201. And, let me see, I need to be up by 6am to handle texting coach about practice time. Then I gotta mail the package to 606 Birch Boulevard, Boston, Massachusetts 02108. I think I got everything now, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“send that email to teacher about sick child”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: send that email to teacher about sick child"}, {"id": "q002", "category": "content", "question": "output中是否保留了“handle texting coach about practice time”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: handle texting coach about practice time"}, {"id": "q003", "category": "content", "question": "output中是否保留了“mail the package”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: mail the package"}, {"id": "q004", "category": "format", "question": "output中是否将“four hundred fifty six”规范化成了“456”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four hundred fifty six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four hundred fifty six; clean: 456"}, {"id": "q005", "category": "format", "question": "output中是否将“seven five two zero one”规范化成了“75201”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven five two zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: seven five two zero one; clean: 75201"}, {"id": "q006", "category": "format", "question": "output中是否将“six A M”规范化成了“6am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six A M”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: six A M; clean: 6am"}, {"id": "q007", "category": "format", "question": "output中是否将“six hundred six”规范化成了“606”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six hundred six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: six hundred six; clean: 606"}, {"id": "q008", "category": "format", "question": "output中是否将“zero two one zero eight”规范化成了“02108”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero two one zero eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: zero two one zero eight; clean: 02108"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: just... uh... gotta; clean: just gotta"}]}
{"status": "success", "index": 202, "source_record_id": "recheck.jsonl:334", "source_line": 195, "audio": "audio/dictation_memo__recheckjsonl334.wav", "scene": "dictation_memo", "language": "en", "oral": "Who is it? Oh, Aditi. Thanks for the update update. I am emailing emailing vendor about shipment delay. Next Wednesday at ten... no, eleven. Address nine zero nine Fusion Drive, Chicago, Illinois six zero six zero five. Sent it to her e mail.", "clean": "Who is it? Oh, Aditi. Thanks for the update. I am emailing the vendor about the shipment delay. Next Wednesday at 11:00. Address 909 Fusion Drive, Chicago, Illinois 60605. Sent it to her email.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "update update, emailing emailing"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ten... no, eleven”处理成了“11:00”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "ten... no, eleven -> 11:00"}, {"id": "q003", "category": "format", "question": "output中是否将“nine zero nine”规范化成了“909”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine zero nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "nine zero nine -> 909"}, {"id": "q004", "category": "format", "question": "output中是否将“six zero six zero five”规范化成了“60605”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six zero six zero five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "six zero six zero five -> 60605"}, {"id": "q005", "category": "format", "question": "output中是否将“Fusion Drive”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fusion drive”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Fusion Drive"}, {"id": "q006", "category": "format", "question": "output中是否将“e mail”规范化成了“email”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“e mail”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "e mail -> email"}, {"id": "q007", "category": "content", "question": "output中是否保留了“Who is it”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Who is it"}, {"id": "q008", "category": "content", "question": "output中是否保留了“Aditi”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Aditi"}, {"id": "q009", "category": "content", "question": "output中是否保留了“Thanks for the update”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Thanks for the update"}, {"id": "q010", "category": "content", "question": "output中是否保留了“vendor”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "the vendor"}, {"id": "q011", "category": "content", "question": "output中是否保留了“shipment delay”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "the shipment delay"}, {"id": "q012", "category": "content", "question": "output中是否保留了“Chicago, Illinois”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Chicago, Illinois"}]}
{"status": "success", "index": 203, "source_record_id": "recheck.jsonl:337", "source_line": 197, "audio": "audio/dictation_memo__recheckjsonl337.wav", "scene": "dictation_memo", "language": "en", "oral": "Why call Jayden? Uh, in reference to John. No, texting client to confirm meeting. Note for luggage list. Need two bags. Wait, three bags. Hope it's a new star. Just go to the garden. Wait, garden yard.", "clean": "Why call Jayden in reference to John? Texting client to confirm meeting. Note for luggage list: need 3 bags. Hope it's a new star. Just go to the garden yard.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Uh, Wait"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“No, texting client to confirm meeting”处理成了“Texting client to confirm meeting”（去除了表示否定的“No,”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: No, texting client to confirm meeting. clean: Texting client to confirm meeting."}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Just go to the garden. Wait, garden yard.”处理成了“Just go to the garden yard.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Just go to the garden. Wait, garden yard. clean: Just go to the garden yard."}, {"id": "q004", "category": "format", "question": "output中是否将“three bags”规范化成了“3 bags”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在 three bags", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three bags clean: 3 bags"}, {"id": "q005", "category": "format", "question": "output中是否在“Note for luggage list”和“need”之间添加了冒号“:”进行规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始断句", "score": 0}, {"text": "不存在该处或规范化结果", "score": -1}], "evidence": "oral: Note for luggage list. Need clean: Note for luggage list: need"}, {"id": "q006", "category": "content", "question": "output中是否存在“call Jayden”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Why call Jayden in reference to John?"}, {"id": "q007", "category": "content", "question": "output中是否存在“in reference to John”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Why call Jayden in reference to John?"}, {"id": "q008", "category": "content", "question": "output中是否存在“new star”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Hope it's a new star."}]}
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{"status": "success", "index": 206, "source_record_id": "recheck.jsonl:340", "source_line": 199, "audio": "audio/dictation_memo__recheckjsonl340.wav", "scene": "dictation_memo", "language": "en", "oral": "Honestly, I am drafting a press release for a product, uh, wait, make that email to client about project scope. I would like to invite you to review it. Close quote. Oh, and reminder to buy stamps.", "clean": "Honestly, I am drafting an email to client about project scope. I would like to invite you to review it. Close quote. Oh, and reminder to buy stamps.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“a press release for a product, uh, wait, make that email”处理成了“an email”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"a press release for a product, uh, wait, make that email\"; clean: \"an email\""}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh, wait\""}, {"id": "q003", "category": "content", "question": "output中是否存在“project scope”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"project scope\""}, {"id": "q004", "category": "content", "question": "output中是否存在“invite you to review it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"invite you to review it\""}, {"id": "q005", "category": "content", "question": "output中是否存在“Close quote”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Close quote\""}, {"id": "q006", "category": "content", "question": "output中是否存在“reminder to buy stamps”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"reminder to buy stamps\""}]}
{"status": "success", "index": 208, "source_record_id": "recheck.jsonl:352", "source_line": 206, "audio": "audio/dictation_memo__recheckjsonl352.wav", "scene": "dictation_memo", "language": "en", "oral": "Perfect! Let us follow up with Thierry and Xavier. We will set biweekly meetings biweekly meetings on Monday mornings. I am taking notes taking notes after doctor appointment. Oh wait. Also need to cc Aarav on this email.", "clean": "Perfect! Let us follow up with Thierry and Xavier. We will set biweekly meetings on Monday mornings. I am taking notes after a doctor appointment. Also need to cc Aarav on this email.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“follow up with Thierry and Xavier”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Let us follow up with Thierry and Xavier."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Monday mornings”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "on Monday mornings"}, {"id": "q003", "category": "content", "question": "output中是否保留了“taking notes”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I am taking notes after a doctor appointment."}, {"id": "q004", "category": "content", "question": "output中是否保留了“cc Aarav on this email”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Also need to cc Aarav on this email."}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "biweekly meetings biweekly meetings, taking notes taking notes, Oh wait."}]}
{"status": "success", "index": 209, "source_record_id": "recheck.jsonl:351", "source_line": 205, "audio": "audio/dictation_memo__recheckjsonl351.wav", "scene": "dictation_memo", "language": "en", "oral": "Honestly, I need to finish dictating project status update for manager first thing tomorrow. I'm reaching out to see if Yael... Yael has the latest figures. Send it to the marketing department... oh no, sales department. I should check the budget... check the budget for phase two. Put exclamation point after the deadline reminder. Just make sure Yael confirms by ten a m.", "clean": "Honestly, I need to finish dictating the project status update for the manager first thing tomorrow. I'm reaching out to see if Yael has the latest figures. Send it to the sales department. I should check the budget for phase 2. Put an exclamation point after the deadline reminder. Just make sure Yael confirms by 10am.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“project status update”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 'dictating project status update', clean: 'dictating the project status update'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“exclamation point”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 'Put exclamation point', clean: 'Put an exclamation point'"}, {"id": "q003", "category": "format", "question": "output中是否将“phase two”规范化成了“phase 2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“phase two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'phase two', clean: 'phase 2'"}, {"id": "q004", "category": "format", "question": "output中是否将“ten a m”规范化成了“10am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten a m”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'ten a m', clean: '10am'"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Yael... Yael', 'check the budget... check the budget'"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“marketing department... oh no, sales department”处理成了“sales department”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'marketing department... oh no, sales department', clean: 'sales department'"}]}
{"status": "success", "index": 207, "source_record_id": "recheck.jsonl:341", "source_line": 200, "audio": "audio/dictation_memo__recheckjsonl341.wav", "scene": "dictation_memo", "language": "en", "oral": "Address five hundred South Main Street. Oh no, North Main Street. Salt Lake City Utah eight four one zero one. Like texting friend for recommendation. Not meeting minutes note. This Sunday eleven thirty AM. Thank you for help.", "clean": "Address 500 North Main Street, Salt Lake City, Utah 84101. Texting a friend for a recommendation, not meeting minutes notes. This Sunday 11:30am. Thank you for the help.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“South Main Street. Oh no, North Main Street”处理成了“North Main Street”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'South Main Street. Oh no, North Main Street.' -> clean: 'North Main Street'"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'five hundred' -> clean: '500'"}, {"id": "q003", "category": "format", "question": "output中是否将“eight four one zero one”规范化成了“84101”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight four one zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'eight four one zero one' -> clean: '84101'"}, {"id": "q004", "category": "format", "question": "output中是否将“eleven thirty AM”规范化成了“11:30am”或“11:30 AM”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eleven thirty AM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'eleven thirty AM' -> clean: '11:30am'"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Like texting...'"}, {"id": "q006", "category": "content", "question": "output中是否存在“Salt Lake City”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Salt Lake City'"}, {"id": "q007", "category": "content", "question": "output中是否存在“recommendation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'recommendation'"}, {"id": "q008", "category": "content", "question": "output中是否存在“meeting minutes notes”或“meeting minutes note”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 'meeting minutes note', clean: 'meeting minutes notes'"}]}
{"status": "success", "index": 210, "source_record_id": "recheck.jsonl:343", "source_line": 202, "audio": "audio/dictation_memo__recheckjsonl343.wav", "scene": "dictation_memo", "language": "en", "oral": "Wait, why did I wait so long to start this? I mean, I should probably just start by recording voice memo for a dream description, then maybe transition into drafting a memo on office policy... wait, no, let me do the note for a book summary first. Oh, Layla mentioned something about a meeting on May fifth, so maybe that goes here? Just... how should I put it, I need to organize these thoughts before I forget everything. It is basically just a giant brain dump, I guess.", "clean": "Why did I wait so long to start this? I should probably just start by recording a voice memo for a dream description, then maybe transition into drafting a memo on office policy... no, let me do the note for a book summary first. Layla mentioned something about a meeting on May 5, so maybe that goes here? I need to organize these thoughts before I forget everything. It is just a giant brain dump, I guess.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“recording a voice memo for a dream description”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: recording a voice memo for a dream description"}, {"id": "q002", "category": "format", "question": "output中是否将“May fifth”规范化成了“May 5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“May fifth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: May fifth; clean: May 5"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Wait, I mean, Oh, Just... how should I put it, basically"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“wait, no, let me do the note for a book summary first”处理成了“no, let me do the note for a book summary first”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: wait, no, let me do the note for a book summary first; clean: no, let me do the note for a book summary first"}]}
{"status": "success", "index": 211, "source_record_id": "recheck.jsonl:342", "source_line": 201, "audio": "audio/dictation_memo__recheckjsonl342.wav", "scene": "dictation_memo", "language": "en", "oral": "Actually... I need to email emailing a landlord about broken heater at nine zero nine Juniper Lane Nashville Tennessee three seven two zero one. Also need... need to send email to team lead for approval on twelfth of April for four three two one North Shore Drive Chicago Illinois six zero six zero one. Oh wait... I meant send to lead for approval on the twelfth of April for four three two one North Shore Drive Chicago Illinois six zero six zero one. Make sure to CC the lead for approval.", "clean": "I need to email a landlord about a broken heater at 909 Juniper Lane, Nashville, Tennessee 37201. Also need to send an email to the team lead for approval on April 12 for 4321 North Shore Drive, Chicago, Illinois 60601. Make sure to CC the lead for approval.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“email a landlord about a broken heater”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I need to email a landlord about a broken heater"}, {"id": "q002", "category": "format", "question": "output中是否将“nine zero nine Juniper Lane Nashville Tennessee three seven two zero one”规范化成了“909 Juniper Lane, Nashville, Tennessee 37201”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine zero nine Juniper Lane Nashville Tennessee three seven two zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: nine zero nine Juniper Lane Nashville Tennessee three seven two zero one; clean: 909 Juniper Lane, Nashville, Tennessee 37201"}, {"id": "q003", "category": "format", "question": "output中是否将“twelfth of April”规范化成了“April 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelfth of April”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twelfth of April; clean: April 12"}, {"id": "q004", "category": "format", "question": "output中是否将“four three two one North Shore Drive Chicago Illinois six zero six zero one”规范化成了“4321 North Shore Drive, Chicago, Illinois 60601”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four three two one North Shore Drive Chicago Illinois six zero six zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four three two one North Shore Drive Chicago Illinois six zero six zero one; clean: 4321 North Shore Drive, Chicago, Illinois 60601"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Actually... I need to email emailing; Also need... need to"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Oh wait... I meant send to lead for approval...”等自我纠正的过程删除，并保留了最终结果“send an email to the team lead for approval”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Oh wait... I meant send to lead for approval on the twelfth of April for four three two one North Shore Drive Chicago Illinois six zero six zero one.; clean: Also need to send an email to the team lead for approval"}, {"id": "q007", "category": "content", "question": "output中是否存在“Make sure to CC the lead for approval”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Make sure to CC the lead for approval."}]}
{"status": "success", "index": 214, "source_record_id": "recheck.jsonl:353", "source_line": 207, "audio": "audio/dictation_memo__recheckjsonl353.wav", "scene": "dictation_memo", "language": "en", "oral": "Hey, wonder if you got a second to check this? Actually, I'm just summarizing a quarterly budget meeting for you. Hope you're having a great week. So, I spoke with Aarav and... uh... Guillaume regarding the attached file. We're looking at a total spend of twelve thousand dollars... oh no, it's actually fifteen thousand dollars for the first phase. And we need to... let me see... I mean, we should probably reallocate those funds to the marketing wing by Friday the twenty second. Let me know if that works.", "clean": "Hey, wonder if you got a second to check this? I'm just summarizing a quarterly budget meeting for you. Hope you're having a great week. So, I spoke with Aarav and Guillaume regarding the attached file. We're looking at a total spend of $15,000 for the first phase. And we should probably reallocate those funds to the marketing wing by Friday the 22nd. Let me know if that works.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, uh, let me see, I mean"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“twelve thousand dollars... oh no, it's actually fifteen thousand dollars”处理成了“fifteen thousand dollars”或“$15,000”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "twelve thousand dollars... oh no, it's actually fifteen thousand dollars"}, {"id": "q003", "category": "format", "question": "output中是否将“fifteen thousand dollars”规范化成了“$15,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen thousand dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fifteen thousand dollars -> $15,000"}, {"id": "q004", "category": "format", "question": "output中是否将“Friday the twenty second”规范化成了“Friday the 22nd”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Friday the twenty second”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Friday the twenty second -> Friday the 22nd"}, {"id": "q005", "category": "content", "question": "output中是否存在“quarterly budget meeting”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "quarterly budget meeting"}, {"id": "q006", "category": "content", "question": "output中是否存在“Aarav and Guillaume”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Aarav and Guillaume"}, {"id": "q007", "category": "content", "question": "output中是否存在“reallocate those funds”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "reallocate those funds"}, {"id": "q008", "category": "content", "question": "output中是否存在“marketing wing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "marketing wing"}]}
{"status": "success", "index": 212, "source_record_id": "recheck.jsonl:350", "source_line": 204, "audio": "audio/dictation_memo__recheckjsonl350.wav", "scene": "dictation_memo", "language": "en", "oral": "Memo to self. I need to write this recommendation for Yuki. She worked under me for three years... three years in the marketing department. She was actually the one who handled that big project... wait, not the big project, the mid sized campaign for the European market. She handled the campaign with such precision. I remember when she managed the budget of twelve thousand dollars... oh no, it was fifteen thousand dollars. She managed the budget perfectly. Her ability to lead... how to put it... if she takes charge of a team, the results are always consistent. Consistent results every time. She is definitely the best candidate for this senior role.", "clean": "Memo to self. I need to write this recommendation for Yuki. She worked under me for 3 years in the marketing department. She was the one who handled the mid-sized campaign for the European market. She handled the campaign with such precision. I remember when she managed the budget of $15,000. She managed the budget perfectly. Her ability to lead... if she takes charge of a team, the results are always consistent. Consistent results every time. She is definitely the best candidate for this senior role.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“recommendation for Yuki”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I need to write this recommendation for Yuki."}, {"id": "q002", "category": "content", "question": "output中是否保留了“marketing department”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: in the marketing department."}, {"id": "q003", "category": "format", "question": "output中是否将“three years”规范化成了“3 years”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three years”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three years... three years; clean: 3 years"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“big project”处理成了“mid-sized campaign”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: handled that big project... wait, not the big project, the mid sized campaign; clean: handled the mid-sized campaign"}, {"id": "q005", "category": "content", "question": "output中是否保留了“European market”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: for the European market."}, {"id": "q006", "category": "content", "question": "output中是否保留了“handled the campaign with such precision”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: She handled the campaign with such precision."}, {"id": "q007", "category": "rephrase", "question": "output中是否将“twelve thousand dollars”处理成了“fifteen thousand dollars”或“$15,000”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: budget of twelve thousand dollars... oh no, it was fifteen thousand dollars; clean: budget of $15,000"}, {"id": "q008", "category": "format", "question": "output中是否将“fifteen thousand dollars”规范化成了“$15,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen thousand dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: fifteen thousand dollars; clean: $15,000"}, {"id": "q009", "category": "content", "question": "output中是否保留了“managed the budget perfectly”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: She managed the budget perfectly."}, {"id": "q010", "category": "content", "question": "output中是否保留了“ability to lead”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Her ability to lead"}, {"id": "q011", "category": "content", "question": "output中是否保留了“results are always consistent”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: the results are always consistent."}, {"id": "q012", "category": "content", "question": "output中是否保留了“best candidate for this senior role”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: She is definitely the best candidate for this senior role."}, {"id": "q013", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: wait, oh no, how to put it, three years... three years"}, {"id": "q014", "category": "format", "question": "output中是否将“mid sized”规范化成了“mid-sized”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“mid sized”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: mid sized; clean: mid-sized"}]}
{"status": "success", "index": 213, "source_record_id": "recheck.jsonl:346", "source_line": 203, "audio": "audio/dictation_memo__recheckjsonl346.wav", "scene": "dictation_memo", "language": "en", "oral": "Voice journal entry. October twenty fourth. So I finally heard back from Aadhya. She sent this weirdly formal message, like, I hope this email finds you well, which is just so not her. She said she is following up on our previous conversation regarding the new gallery space at eighty eight Orchard Road, Singapore two three eight eight two three. Then she mentioned Yael is handling the lease. Actually, she said Yael is in the marketing department... oh no, she is in the sales department. Anyway, my take is that they are just trying to sound professional to hide the fact that they are totally disorganized. It feels like a corporate mask.", "clean": "Voice journal entry. October 24. I finally heard back from Aadhya. She sent this weirdly formal message, \"I hope this email finds you well,\" which is just so not her. She said she is following up on our previous conversation regarding the new gallery space at 88 Orchard Road, Singapore 238823. Then she mentioned Yael is handling the lease. She said Yael is in the sales department. Anyway, my take is that they are just trying to sound professional to hide the fact that they are totally disorganized. It feels like a corporate mask.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Voice journal entry”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Voice journal entry."}, {"id": "q002", "category": "format", "question": "output中是否将“October twenty fourth”规范化成了“October 24”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October twenty fourth”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "October twenty fourth. -> October 24."}, {"id": "q003", "category": "content", "question": "output中是否保留了“Aadhya”？", "options": [{"text": "完整保留或读音一致", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "heard back from Aadhya."}, {"id": "q004", "category": "content", "question": "output中是否保留了“weirdly formal message”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "sent this weirdly formal message"}, {"id": "q005", "category": "format", "question": "output中是否为“I hope this email finds you well”加上了双引号？", "options": [{"text": "加上了双引号", "score": 1}, {"text": "没有加双引号但存在该句子", "score": 0}, {"text": "不存在该句子或格式错误", "score": -1}], "evidence": "\"I hope this email finds you well,\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“new gallery space”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "regarding the new gallery space"}, {"id": "q007", "category": "format", "question": "output中是否将“eighty eight”规范化成了“88”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty eight”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "at eighty eight Orchard Road -> at 88 Orchard Road"}, {"id": "q008", "category": "content", "question": "output中是否保留了“Orchard Road”？", "options": [{"text": "完整保留或读音一致", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Orchard Road"}, {"id": "q009", "category": "format", "question": "output中是否将“two three eight eight two three”规范化成了“238823”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two three eight eight two three”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "Singapore two three eight eight two three -> Singapore 238823"}, {"id": "q010", "category": "content", "question": "output中是否保留了“handling the lease”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Yael is handling the lease."}, {"id": "q011", "category": "rephrase", "question": "output中是否将“Yael is in the marketing department... oh no, she is in the sales department”处理成了“Yael is in the sales department”？", "options": [{"text": "进行了相同处理，保留最终结果并删除纠错过程", "score": 2}, {"text": "删除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "Actually, she said Yael is in the marketing department... oh no, she is in the sales department. -> She said Yael is in the sales department."}, {"id": "q012", "category": "content", "question": "output中是否保留了“totally disorganized”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "they are totally disorganized."}, {"id": "q013", "category": "content", "question": "output中是否保留了“corporate mask”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "It feels like a corporate mask."}, {"id": "q014", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, like, Actually, oh no"}]}
{"status": "success", "index": 215, "source_record_id": "recheck.jsonl:354", "source_line": 208, "audio": "audio/dictation_memo__recheckjsonl354.wav", "scene": "dictation_memo", "language": "en", "oral": "Okay, just to be clear, the main thing is keep the plants alive while I am gone. Just because they are really finicky, you know. Following up on our last call, address is Kurfürstendamm twenty one, Berlin ten seven one nine. Just a heads up, I am also writing a reminder list for a child's birthday party, and I need you to mail it to Björn. Oh, wait, not Björn, it is Ben. Anyway, the package is on the table. I wrote the address with a semicolon... no, I mean a comma, just to separate the city. Just leave the keys under the mat, yeah.", "clean": "Okay, just to be clear, the main thing is keep the plants alive while I am gone. Just because they are really finicky. Following up on our last call, address is Kurfürstendamm 21, Berlin 10719. Just a heads up, I am also writing a reminder list for a child's birthday party, and I need you to mail it to Ben. Anyway, the package is on the table. I wrote the address with a comma, just to separate the city. Just leave the keys under the mat, yeah.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“keep the plants alive”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: keep the plants alive while I am gone"}, {"id": "q002", "category": "content", "question": "output中是否保留了“really finicky”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Just because they are really finicky"}, {"id": "q003", "category": "content", "question": "output中是否保留了“reminder list for a child's birthday party”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: writing a reminder list for a child's birthday party"}, {"id": "q004", "category": "content", "question": "output中是否保留了“package is on the table”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: the package is on the table"}, {"id": "q005", "category": "content", "question": "output中是否保留了“leave the keys under the mat”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: leave the keys under the mat"}, {"id": "q006", "category": "format", "question": "output中是否将“Kurfürstendamm twenty one”规范化成了“Kurfürstendamm 21”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在该地址或规范化结果错误", "score": -1}], "evidence": "clean: Kurfürstendamm 21"}, {"id": "q007", "category": "format", "question": "output中是否将“Berlin ten seven one nine”规范化成了“Berlin 10719”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在该地址或规范化结果错误", "score": -1}], "evidence": "clean: Berlin 10719"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: you know, yeah"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“mail it to Björn. Oh, wait, not Björn, it is Ben”处理成了“mail it to Ben”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: mail it to Björn. Oh, wait, not Björn, it is Ben. clean: mail it to Ben."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“with a semicolon... no, I mean a comma”处理成了“with a comma”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: with a semicolon... no, I mean a comma clean: with a comma"}]}
{"status": "success", "index": 216, "source_record_id": "recheck.jsonl:359", "source_line": 209, "audio": "audio/dictation_memo__recheckjsonl359.wav", "scene": "dictation_memo", "language": "en", "oral": "So how did today actually go? I mean, pretty hectic. Started off at five hundred Terry Francana Plaza, San Jose, nine five one one three. Then drove over to four hundred fifty Serra Mall, Stanford, California. Uh, it was for that meeting... wait, no, it was a site visit. Anyway, just a heads up that I still need to send that email to the team. Apologies for the late response, just... how should I put it, just got bogged down in traffic. I gotta be up at the crack of dawn tomorrow, so I should probably crash now, ya.", "clean": "So how did today actually go? Pretty hectic. Started off at 500 Terry Francana Plaza, San Jose, 95113. Then drove over to 450 Serra Mall, Stanford, California. It was for that site visit. Anyway, just a heads up that I still need to send that email to the team. Apologies for the late response, just got bogged down in traffic. I gotta be up at the crack of dawn tomorrow, so I should probably crash now, ya.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred; clean: 500"}, {"id": "q002", "category": "format", "question": "output中是否将“nine five one one three”规范化成了“95113”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine five one one three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: nine five one one three; clean: 95113"}, {"id": "q003", "category": "format", "question": "output中是否将“four hundred fifty”规范化成了“450”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four hundred fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four hundred fifty; clean: 450"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“it was for that meeting... wait, no, it was a site visit”处理成了“It was for that site visit”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: it was for that meeting... wait, no, it was a site visit; clean: It was for that site visit."}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean, Uh, wait, no, how should I put it; clean: 无此类口语词或重复词"}, {"id": "q006", "category": "content", "question": "output中是否存在“Terry Francana Plaza”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Terry Francana Plaza"}, {"id": "q007", "category": "content", "question": "output中是否存在“Serra Mall”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Serra Mall"}, {"id": "q008", "category": "content", "question": "output中是否存在“send that email to the team”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: send that email to the team"}, {"id": "q009", "category": "content", "question": "output中是否存在“crack of dawn”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: crack of dawn"}]}
{"status": "success", "index": 218, "source_record_id": "recheck.jsonl:368", "source_line": 213, "audio": "audio/dictation_memo__recheckjsonl368.wav", "scene": "dictation_memo", "language": "en", "oral": "Actually... oh, right. Need to email Aoife. Tell her apologies for late response. I was... uh... taking notes during virtual team stand up... no, wait, it was summarizing quarterly budget meeting. Anyway, remind her about that semicolon issue in the report. Just need to send that by five o clock.", "clean": "Need to email Aoife. Tell her apologies for the late response. I was summarizing the quarterly budget meeting. Anyway, remind her about that semicolon issue in the report. Just need to send that by 5:00.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually... oh, right. / uh..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“taking notes during virtual team stand up... no, wait, it was summarizing quarterly budget meeting”处理成了“summarizing the quarterly budget meeting”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: taking notes during virtual team stand up... no, wait, it was summarizing quarterly budget meeting. -> clean: summarizing the quarterly budget meeting."}, {"id": "q003", "category": "format", "question": "output中是否将“five o clock”规范化成了“5:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five o clock”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five o clock -> clean: 5:00"}, {"id": "q004", "category": "content", "question": "output中是否存在“email Aoife”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Need to email Aoife."}, {"id": "q005", "category": "content", "question": "output中是否存在“apologies for the late response”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Tell her apologies for the late response."}, {"id": "q006", "category": "content", "question": "output中是否存在“semicolon issue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: remind her about that semicolon issue in the report."}, {"id": "q007", "category": "content", "question": "output中是否存在“send that by”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Just need to send that by 5:00."}]}
{"status": "success", "index": 217, "source_record_id": "recheck.jsonl:364", "source_line": 211, "audio": "audio/dictation_memo__recheckjsonl364.wav", "scene": "dictation_memo", "language": "en", "oral": "Hi team. Um, just following up on our conversation with Siobhan. I want to... uh... let's see... I want to mention that I'm not totally sure but I think we should pivot the strategy. Wait, actually... maybe we can just add a section about... uh... recording a sudden business idea for a startup in the appendix. Also, I'm still dictating a complaint email to a shipping company for that missing package from January twelfth, so I'll send that separately. Just make sure the total is five hundred twenty dollars.", "clean": "Hi team. Just following up on our conversation with Siobhan. I want to mention that I'm not totally sure but I think we should pivot the strategy. Maybe we can just add a section about recording a sudden business idea for a startup in the appendix. Also, I'm still dictating a complaint email to a shipping company for that missing package from January 12, so I'll send that separately. Just make sure the total is $520.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Um, just following up... I want to... uh... let's see... Wait, actually..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“I want to... uh... let's see... I want to mention”处理成了“I want to mention”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I want to... uh... let's see... I want to mention | clean: I want to mention"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Wait, actually... maybe we can just add”处理成了“Maybe we can just add”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Wait, actually... maybe we can just add | clean: Maybe we can just add"}, {"id": "q004", "category": "format", "question": "output中是否将“January twelfth”规范化成了“January 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“January twelfth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: January twelfth | clean: January 12"}, {"id": "q005", "category": "format", "question": "output中是否将“five hundred twenty dollars”规范化成了“$520”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twenty dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred twenty dollars | clean: $520"}, {"id": "q006", "category": "content", "question": "output中是否存在“conversation with Siobhan”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: conversation with Siobhan"}, {"id": "q007", "category": "content", "question": "output中是否存在“pivot the strategy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pivot the strategy"}, {"id": "q008", "category": "content", "question": "output中是否存在“recording a sudden business idea”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: recording a sudden business idea"}, {"id": "q009", "category": "content", "question": "output中是否存在“complaint email to a shipping company”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: complaint email to a shipping company"}]}
{"status": "success", "index": 219, "source_record_id": "recheck.jsonl:366", "source_line": 212, "audio": "audio/dictation_memo__recheckjsonl366.wav", "scene": "dictation_memo", "language": "en", "oral": "Hey Sarah, following up on our previous conversation about dinner. I'm creating shopping list for specific recipe, uh, just capturing quick reminder for medication dosage too so I don't forget. I need two tablespoons of honey, two tablespoons of honey and three hundred grams of flour. Wait, I'm writing to follow up on the spice list, it should be four teaspoons of salt. I'm creating detailed to do list for home renovation project later but first I need to get to the store. Actually the store is... the store is closed on Sundays, right? I wonder if I can go to the new park yuan instead.", "clean": "Hey Sarah, following up on our previous conversation about dinner. I'm creating a shopping list for a specific recipe, just capturing a quick reminder for medication dosage too so I don't forget. I need 2 tablespoons of honey and 300 grams of flour. I'm writing to follow up on the spice list, it should be 4 teaspoons of salt. I'm creating a detailed to-do list for a home renovation project later but first I need to get to the store. Actually the store is closed on Sundays, right? I wonder if I can go to the new Park Yuan instead.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“conversation about dinner”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "following up on our previous conversation about dinner"}, {"id": "q002", "category": "content", "question": "output中是否保留了“reminder for medication dosage”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "just capturing quick reminder for medication dosage"}, {"id": "q003", "category": "content", "question": "output中是否保留了“spice list”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "follow up on the spice list"}, {"id": "q004", "category": "content", "question": "output中是否保留了“home renovation project”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "to do list for home renovation project"}, {"id": "q005", "category": "format", "question": "output中是否将“two tablespoons of honey”中的“two”规范化成了“2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "two tablespoons of honey -> 2 tablespoons of honey"}, {"id": "q006", "category": "format", "question": "output中是否将“three hundred grams of flour”中的“three hundred”规范化成了“300”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "three hundred grams of flour -> 300 grams of flour"}, {"id": "q007", "category": "format", "question": "output中是否将“four teaspoons of salt”中的“four”规范化成了“4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "four teaspoons of salt -> 4 teaspoons of salt"}, {"id": "q008", "category": "format", "question": "output中是否将“to do list”规范化成了“to-do list”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“to do”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "to do list -> to-do list"}, {"id": "q009", "category": "format", "question": "output中是否将“park yuan”规范化成了“Park Yuan”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“park yuan”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "new park yuan -> new Park Yuan"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, two tablespoons of honey, two tablespoons of honey, the store is... the store is"}, {"id": "q011", "category": "rephrase", "question": "output中是否去除了“Wait,”并保留了“I'm writing to follow up on the spice list”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Wait, I'm writing to follow up on the spice list -> I'm writing to follow up on the spice list"}]}
{"status": "success", "index": 220, "source_record_id": "recheck.jsonl:360", "source_line": 210, "audio": "audio/dictation_memo__recheckjsonl360.wav", "scene": "dictation_memo", "language": "en", "oral": "Wait, taking quick note of parking spot location... it was near the south gate... no, north gate... wait wrong, it was east gate! Okay, for the blog post, if we focus on productivity tools then we could highlight Yuki and Aoife. They had that great debate. I remember Aadhya... Aadhya mentioned... how to put this... if we analyze taking voice memo during university lecture, we can see the contrast. The lecture was on... March tenth... no, March twelfth... wait wrong, it was March fifteenth! We need to emphasize emphasize the efficiency of async notes. Let me check check the recording again.", "clean": "Taking quick note of parking spot location... it was east gate! Okay, for the blog post, if we focus on productivity tools then we could highlight Yuki and Aoife. They had that great debate. I remember Aadhya mentioned if we analyze taking voice memos during university lecture, we can see the contrast. The lecture was on March 15! We need to emphasize the efficiency of async notes. Let me check the recording again.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“near the south gate... no, north gate... wait wrong, it was east gate”处理成了“east gate”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"it was near the south gate... no, north gate... wait wrong, it was east gate!\", clean: \"it was east gate!\""}, {"id": "q002", "category": "format", "question": "output中是否将“March fifteenth”规范化成了“March 15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“March fifteenth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"March fifteenth\", clean: \"March 15\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Wait\", \"emphasize emphasize\", \"check check\", clean: 无"}, {"id": "q004", "category": "content", "question": "output中是否存在“parking spot location”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"parking spot location\", clean: \"parking spot location\""}, {"id": "q005", "category": "content", "question": "output中是否存在“productivity tools”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"productivity tools\", clean: \"productivity tools\""}, {"id": "q006", "category": "content", "question": "output中是否存在“async notes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"async notes\", clean: \"async notes\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Aadhya... Aadhya mentioned... how to put this...”处理成了“Aadhya mentioned”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Aadhya... Aadhya mentioned... how to put this...\", clean: \"Aadhya mentioned\""}, {"id": "q008", "category": "content", "question": "output中是否存在“voice memos”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"voice memo\", clean: \"voice memos\""}, {"id": "q009", "category": "format", "question": "output中是否将“Yuki”和“Aoife”保持了首字母大写的正确格式？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "未保持首字母大写", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: \"Yuki and Aoife\", clean: \"Yuki and Aoife\""}]}
{"status": "success", "index": 226, "source_record_id": "recheck.jsonl:372", "source_line": 215, "audio": "audio/dictation_memo__recheckjsonl372.wav", "scene": "dictation_memo", "language": "en", "oral": "Okay let's start with the intro. I want to talk about those weirdly specific habits we have when multitasking. Like recording a recipe, recording a recipe while cooking. Or maybe drafting a Slack message to a remote teammate. I'm not totally sure but I think most people struggle with focus. Oh and I need to remember the address for that Tokyo office. It's two one one Nihonbashi, Chuo ku, Tokyo. Wait, actually I think I have to finish the draft by close of business tomorrow. Close of business tomorrow. Then there's that funny example from the movie, forty two Wallaby Way, Sydney. Forty two Wallaby Way, Sydney. I'll add that in later.", "clean": "Okay let's start with the intro. I want to talk about those weirdly specific habits we have when multitasking. Recording a recipe while cooking. Or maybe drafting a Slack message to a remote teammate. I'm not totally sure but I think most people struggle with focus. Oh and I need to remember the address for that Tokyo office. It's 211 Nihonbashi, Chuo-ku, Tokyo. I think I have to finish the draft by close of business tomorrow. Then there's that funny example from the movie, 42 Wallaby Way, Sydney. I'll add that in later.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“weirdly specific habits”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: those weirdly specific habits we have"}, {"id": "q002", "category": "content", "question": "output中是否存在“drafting a Slack message”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: drafting a Slack message to a remote teammate"}, {"id": "q003", "category": "format", "question": "output中是否将“two one one”规范化成了“211”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two one one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two one one Nihonbashi / clean: 211 Nihonbashi"}, {"id": "q004", "category": "format", "question": "output中是否将“Chuo ku”规范化成了“Chuo-ku”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Chuo ku”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Chuo ku / clean: Chuo-ku"}, {"id": "q005", "category": "format", "question": "output中是否将“forty two”规范化成了“42”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: forty two Wallaby Way / clean: 42 Wallaby Way"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Like recording a recipe, recording a recipe / Wait, actually / Close of business tomorrow. Close of business tomorrow / Forty two Wallaby Way, Sydney. Forty two Wallaby Way, Sydney"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Wait, actually I think”处理成了“I think”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Wait, actually I think I have to finish / clean: I think I have to finish"}]}
{"status": "success", "index": 225, "source_record_id": "recheck.jsonl:381", "source_line": 219, "audio": "audio/dictation_memo__recheckjsonl381.wav", "scene": "dictation_memo", "language": "en", "oral": "Does this version sound professional enough? Yeah I think so. Um, following up on our conversation, I am reviewing the part about drafting a text to a landlord about a leaking faucet. The phrase I'm writing to inform you that... maybe too formal for a text message. Oh and sorry for the late response, that part is good. The address is Kurfürstendamm two hundred twelve... oh no, it is two hundred thirteen, Berlin. Let's just keep that as is.", "clean": "Does this version sound professional enough? Yeah I think so. Following up on our conversation, I am reviewing the part about drafting a text to a landlord about a leaking faucet. The phrase \"I'm writing to inform you that...\" maybe too formal for a text message. Oh and sorry for the late response, that part is good. The address is Kurfürstendamm 213, Berlin. Let's just keep that as is.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Um, following up... -> clean: Following up..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“two hundred twelve... oh no, it is two hundred thirteen”处理成了“213”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: two hundred twelve... oh no, it is two hundred thirteen -> clean: 213"}, {"id": "q003", "category": "format", "question": "output中是否为“I'm writing to inform you that...”添加了双引号？", "options": [{"text": "添加了双引号", "score": 1}, {"text": "没有添加双引号但存在该短语", "score": 0}, {"text": "不存在该短语", "score": -1}], "evidence": "clean: The phrase “I'm writing to inform you that...” maybe too formal"}, {"id": "q004", "category": "content", "question": "output中是否存在“drafting a text to a landlord”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: drafting a text to a landlord"}, {"id": "q005", "category": "content", "question": "output中是否存在“leaking faucet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: leaking faucet"}, {"id": "q006", "category": "content", "question": "output中是否存在“Kurfürstendamm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Kurfürstendamm"}]}
{"status": "success", "index": 227, "source_record_id": "recheck.jsonl:384", "source_line": 221, "audio": "audio/dictation_memo__recheckjsonl384.wav", "scene": "dictation_memo", "language": "en", "oral": "Right, leave a note for Guillaume. Mention the utility bill. He told me, I quote, this is a total rip off, end quote. Which, yeah, I agree. So, I'm dictating a complaint letter to utility company now. Start it... Dear Mr. Henderson, I'm writing to request a full audit of my account. Could you please clarify if the surcharge is correct? Wait, change that to... clarify if the fifty two dollar fee is actually valid. No, make it fifty two point five zero dollars. Just leave it as fifty two dollars.", "clean": "Right, leave a note for Guillaume. Mention the utility bill. He told me, I quote, \"this is a total rip off,\" end quote. Which I agree. So, I'm dictating a complaint letter to the utility company now. Start it... Dear Mr. Henderson, I'm writing to request a full audit of my account. Could you please clarify if the $52 fee is actually valid.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“leave a note for Guillaume”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "leave a note for Guillaume"}, {"id": "q002", "category": "content", "question": "output中是否保留了“complaint letter”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "dictating a complaint letter"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Mr. Henderson”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Dear Mr. Henderson"}, {"id": "q004", "category": "content", "question": "output中是否保留了“total rip off”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "this is a total rip off"}, {"id": "q005", "category": "content", "question": "output中是否保留了“full audit”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "request a full audit"}, {"id": "q006", "category": "format", "question": "output中是否将“fifty two dollars”规范化成了“$52”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifty two dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fifty two dollars -> $52"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Which, yeah, I agree. / Wait, change that to..."}, {"id": "q008", "category": "rephrase", "question": "output中是否将“clarify if the surcharge is correct? Wait, change that to... clarify if”处理成了“clarify if”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Could you please clarify if the surcharge is correct? Wait, change that to... clarify if"}]}
{"status": "success", "index": 229, "source_record_id": "recheck.jsonl:394", "source_line": 227, "audio": "audio/dictation_memo__recheckjsonl394.wav", "scene": "dictation_memo", "language": "en", "oral": "Got it! Hope all is well. Texting texting sibling about bill. Tomorrow at three... no, four PM. Wanted clarify clarify Wyatt gift.", "clean": "Got it! Hope all is well. Texting sibling about bill. Tomorrow at 4pm. Wanted to clarify Wyatt's gift.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Got it! Hope all is well.”或表达相同确认和问候的含义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Got it! Hope all is well."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Texting sibling about bill”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Texting sibling about bill."}, {"id": "q003", "category": "content", "question": "output中是否保留了“clarify Wyatt's gift”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Wanted to clarify Wyatt's gift."}, {"id": "q004", "category": "format", "question": "output中是否将“four PM”规范化成了“4pm”或类似“4 PM”的合理时间格式？", "options": [{"text": "进行了相同或合理的规范化（如4pm）", "score": 1}, {"text": "没有进行规范化但存在“four PM”", "score": 0}, {"text": "不存在“four PM”或相关时间表达", "score": -1}], "evidence": "four PM -> 4pm"}, {"id": "q005", "category": "format", "question": "output中是否将“Wyatt gift”规范化成了“Wyatt's gift”或合理的所有格形式？", "options": [{"text": "进行了相同或合理的规范化（如Wyatt's）", "score": 1}, {"text": "没有进行规范化但存在“Wyatt gift”", "score": 0}, {"text": "不存在“Wyatt gift”或相关所有格表达", "score": -1}], "evidence": "Wyatt gift -> Wyatt's gift"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Texting texting, clarify clarify"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“three... no, four PM”处理成了“four PM”或“4pm”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "three... no, four PM -> four PM / 4pm"}]}
{"status": "success", "index": 230, "source_record_id": "recheck.jsonl:392", "source_line": 225, "audio": "audio/dictation_memo__recheckjsonl392.wav", "scene": "dictation_memo", "language": "en", "oral": "Need packing list. It's more like... than emailing a customer to resolve a dispute. No, wait. Like voice memo for brainstorming session on branding. Address is two twenty two Music Row, Nashville, Tennessee three seven two zero one. I'm emailing you regarding... no, scratch that. Just pack the laptop.", "clean": "Need packing list. Voice memo for brainstorming session on branding. Address is 222 Music Row, Nashville, Tennessee 37201. Just pack the laptop.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“packing list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Need packing list. / oral: Need packing list."}, {"id": "q002", "category": "content", "question": "output中是否存在“voice memo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Voice memo for brainstorming... / oral: ...Like voice memo for brainstorming..."}, {"id": "q003", "category": "content", "question": "output中是否存在“brainstorming session”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ...brainstorming session on branding. / oral: ...brainstorming session on branding."}, {"id": "q004", "category": "content", "question": "output中是否存在“branding”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ...on branding. / oral: ...on branding."}, {"id": "q005", "category": "content", "question": "output中是否存在“Music Row”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ...222 Music Row... / oral: ...two twenty two Music Row..."}, {"id": "q006", "category": "content", "question": "output中是否存在“Nashville”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ...Nashville, Tennessee... / oral: ...Nashville, Tennessee..."}, {"id": "q007", "category": "content", "question": "output中是否存在“Tennessee”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ...Nashville, Tennessee... / oral: ...Nashville, Tennessee..."}, {"id": "q008", "category": "content", "question": "output中是否存在“laptop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Just pack the laptop. / oral: Just pack the laptop."}, {"id": "q009", "category": "format", "question": "output中是否将“two twenty two”规范化成了“222”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two twenty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 222 / oral: two twenty two"}, {"id": "q010", "category": "format", "question": "output中是否将“three seven two zero one”规范化成了“37201”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three seven two zero one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 37201 / oral: three seven two zero one"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: It's more like..., No, wait., no, scratch that."}, {"id": "q012", "category": "rephrase", "question": "output中是否将“It's more like... than emailing a customer to resolve a dispute. No, wait. Like voice memo”处理成了“Voice memo”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: Voice memo for brainstorming session on branding. / oral: It's more like... than emailing a customer to resolve a dispute. No, wait. Like voice memo for brainstorming session on branding."}, {"id": "q013", "category": "rephrase", "question": "output中是否将“I'm emailing you regarding... no, scratch that. Just pack the laptop.”处理成了“Just pack the laptop.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: Just pack the laptop. / oral: I'm emailing you regarding... no, scratch that. Just pack the laptop."}]}
{"status": "success", "index": 233, "source_record_id": "recheck.jsonl:386", "source_line": 222, "audio": "audio/dictation_memo__recheckjsonl386.wav", "scene": "dictation_memo", "language": "en", "oral": "Voice journal entry for today. I was at Champ de Mars... address is... address is five Avenue Anatole France, Paris, around noon on the fifteenth. I spent most of time creating a daily to do list for home renovation. Wait, I think I should schedule the final walk through for the third Tuesday of next month... oh no, the third Thursday of next month. Then I spent afternoon taking meeting minutes during virtual sync with remote team. Hmm, it feels like I'm just... just reacting to things instead of planning. I wonder if you think you think this level of detail in a to do list is overkill, or is it actually helpful?", "clean": "Voice journal entry for today. I was at Champ de Mars... address is 5 Avenue Anatole France, Paris, around noon on the 15th. I spent most of the time creating a daily to-do list for home renovation. I think I should schedule the final walk through for the third Thursday of next month. Then I spent the afternoon taking meeting minutes during a virtual sync with the remote team. It feels like I'm just reacting to things instead of planning. I wonder if you think this level of detail in a to-do list is overkill, or is it actually helpful?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Champ de Mars”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Champ de Mars\""}, {"id": "q002", "category": "format", "question": "output中是否将“five Avenue”规范化成了“5 Avenue”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five Avenue”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"five Avenue\", clean: \"5 Avenue\""}, {"id": "q003", "category": "format", "question": "output中是否将“fifteenth”规范化成了“15th”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteenth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"fifteenth\", clean: \"15th\""}, {"id": "q004", "category": "format", "question": "output中是否将“to do list”规范化成了“to-do list”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“to do list”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"to do list\", clean: \"to-do list\""}, {"id": "q005", "category": "content", "question": "output中是否存在“home renovation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"home renovation\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“third Tuesday”修正成了“third Thursday”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"third Tuesday of next month... oh no, the third Thursday\", clean: \"third Thursday\""}, {"id": "q007", "category": "content", "question": "output中是否存在“meeting minutes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"meeting minutes\""}, {"id": "q008", "category": "content", "question": "output中是否存在“virtual sync”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"virtual sync\""}, {"id": "q009", "category": "content", "question": "output中是否存在“reacting to things instead of planning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"reacting to things instead of planning\""}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"address is... address is\", \"Wait,\", \"oh no,\", \"Hmm,\", \"just... just\", \"you think you think\""}]}
{"status": "success", "index": 234, "source_record_id": "recheck.jsonl:390", "source_line": 224, "audio": "audio/dictation_memo__recheckjsonl390.wav", "scene": "dictation_memo", "language": "en", "oral": "Um... gift ideas... let me see... oh... the thing about emailing a colleague for a peer review... wait... texting a friend to ask if they are awake... no that's not it... I mean... for mom... maybe a planner? Or... oh... that email to customer about refund... uh... next Thursday at three... wait... no... next Wednesday at three... oh no, not Wednesday... oh not... it's next Thursday at three... ah no... it is next Friday at three! Uh... anyway... the main thing... I need to send that email to colleague for a peer review this coming Saturday at nine A M.", "clean": "Gift ideas... the thing about emailing a colleague for a peer review... texting a friend to ask if they are awake... for mom, maybe a planner? Or that email to customer about refund next Friday at 3:00. Anyway, the main thing is I need to send that email to colleague for a peer review this coming Saturday at 9am.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“gift ideas”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'Gift ideas...' / oral: 'gift ideas...'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“emailing a colleague for a peer review”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'the thing about emailing a colleague for a peer review' / oral: 'emailing a colleague for a peer review'"}, {"id": "q003", "category": "content", "question": "output中是否保留了“texting a friend to ask if they are awake”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'texting a friend to ask if they are awake' / oral: 'texting a friend to ask if they are awake'"}, {"id": "q004", "category": "content", "question": "output中是否保留了“for mom, maybe a planner”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'for mom, maybe a planner?' / oral: 'for mom... maybe a planner?'"}, {"id": "q005", "category": "content", "question": "output中是否保留了“email to customer about refund”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'that email to customer about refund' / oral: 'that email to customer about refund'"}, {"id": "q006", "category": "format", "question": "output中是否将“next Friday at three”规范化成了“next Friday at 3:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“next Friday at three”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: 'next Friday at 3:00' / oral: 'next Friday at three'"}, {"id": "q007", "category": "format", "question": "output中是否将“nine A M”规范化成了“9am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“nine A M”或类似原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: '9am' / oral: 'nine A M'"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Um... let me see... oh... wait... no that's not it... I mean... uh... ah no...'"}, {"id": "q009", "category": "rephrase", "question": "output中是否去除了关于“next Thursday”和“next Wednesday”的反复纠错过程，并保留了最终结果“next Friday”？", "options": [{"text": "去除了纠错过程并保留了最终结果“next Friday”", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'next Thursday at three... wait... no... next Wednesday at three... oh no, not Wednesday... oh not... it's next Thursday at three... ah no... it is next Friday at three!' / clean: 'next Friday at 3:00'"}]}
{"status": "success", "index": 236, "source_record_id": "recheck.jsonl:398", "source_line": 228, "audio": "audio/dictation_memo__recheckjsonl398.wav", "scene": "dictation_memo", "language": "en", "oral": "Oh! Need to text dentist to move appointment. Then... wait... email board members about agenda, no, board of directors. Oh not, board members. I hope this email finds you well... let me see... emailing a teacher about a student. Text to coworker about meeting room five... oh not, room six. Hope they get it in time for the new year. Just make sure you check the mail at the garden court... oh, garden yuan.", "clean": "Need to text dentist to move appointment. Then email board members about agenda. Emailing a teacher about a student. Text to coworker about meeting room 6. Hope they get it in time for the new year. Just make sure you check the mail at the Garden Yuan.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“text dentist to move appointment”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Need to text dentist to move appointment."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“email board members about agenda, no, board of directors. Oh not, board members”处理成了“email board members about agenda”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: email board members about agenda, no, board of directors. Oh not, board members. clean: email board members about agenda."}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Oh! I hope this email finds you well... let me see..."}, {"id": "q004", "category": "content", "question": "output中是否保留了“emailing a teacher about a student”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Emailing a teacher about a student."}, {"id": "q005", "category": "rephrase", "question": "output中是否将“meeting room five... oh not, room six”处理成了“meeting room six”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: meeting room five... oh not, room six. clean: meeting room 6."}, {"id": "q006", "category": "format", "question": "output中是否将“room six”规范化成了“room 6”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“room six”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: room six clean: room 6"}, {"id": "q007", "category": "content", "question": "output中是否保留了“get it in time for the new year”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Hope they get it in time for the new year."}, {"id": "q008", "category": "rephrase", "question": "output中是否将“garden court... oh, garden yuan”处理成了“garden yuan”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: garden court... oh, garden yuan. clean: Garden Yuan."}, {"id": "q009", "category": "format", "question": "output中是否将“garden yuan”规范化成了首字母大写的“Garden Yuan”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“garden yuan”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: garden yuan clean: Garden Yuan"}]}
{"status": "success", "index": 238, "source_record_id": "recheck.jsonl:409", "source_line": 232, "audio": "audio/meeting__recheckjsonl409.wav", "scene": "meeting", "language": "en", "oral": "Honestly, the numbers are... well, they are mixed. Conversion rate conversion rate is up to two point four percent, and MAU looks solid, but we got this churn spike in mid market tier. I think... I think it's because of... how should I put this... it's basically an OKR misalignment between product and sales. Siobhan O'Neill mentioned she mentioned it in the sync yesterday. We need to fix this misalignment misalignment before the end of quarter.", "clean": "Honestly, the numbers are mixed. Conversion rate is up to 2.4%, and MAU looks solid, but we got this churn spike in mid market tier. I think it's because of an OKR misalignment between product and sales. Siobhan O'Neill mentioned it in the sync yesterday. We need to fix this misalignment before the end of quarter.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“numbers are mixed”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Honestly, the numbers are mixed."}, {"id": "q002", "category": "format", "question": "output中是否将“two point four percent”规范化成了“2.4%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two point four percent”", "score": 0}, {"text": "不存在该数字或规范化错误", "score": -1}], "evidence": "oral: two point four percent; clean: 2.4%"}, {"id": "q003", "category": "content", "question": "output中是否保留了“MAU looks solid”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: MAU looks solid"}, {"id": "q004", "category": "content", "question": "output中是否保留了“churn spike in mid market tier”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: churn spike in mid market tier"}, {"id": "q005", "category": "content", "question": "output中是否保留了“OKR misalignment between product and sales”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: OKR misalignment between product and sales"}, {"id": "q006", "category": "format", "question": "output中是否将人名正确拼写并格式化为“Siobhan O'Neill”？", "options": [{"text": "拼写和格式完全正确", "score": 1}, {"text": "存在该人名但拼写或大小写有误", "score": 0}, {"text": "不存在该人名", "score": -1}], "evidence": "clean: Siobhan O'Neill"}, {"id": "q007", "category": "content", "question": "output中是否保留了“sync yesterday”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: sync yesterday"}, {"id": "q008", "category": "content", "question": "output中是否保留了“end of quarter”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: end of quarter"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ... well, they are; conversion rate conversion rate; I think... I think; how should I put this... it's basically; mentioned she mentioned; misalignment misalignment"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“how should I put this... it's basically an OKR misalignment”处理成了“an OKR misalignment”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: how should I put this... it's basically an OKR misalignment; clean: an OKR misalignment"}]}
{"status": "success", "index": 241, "source_record_id": "recheck.jsonl:413", "source_line": 236, "audio": "audio/meeting__recheckjsonl413.wav", "scene": "meeting", "language": "en", "oral": "So uh looking at the data we definitely saw some onboarding friction in the user flow which... well it hit our conversion rate. It went up to four point two percent... oh no sorry, it was three point eight percent. But the good thing is the average order value actually climbed. Now if we look at the ARPU and the monthly recurring revenue... it seems like the high tier is sticking. I mean... does that align with what you guys are seeing on the campaign side?", "clean": "Looking at the data, we definitely saw some onboarding friction in the user flow which hit our conversion rate. It was 3.8%. But the good thing is the average order value actually climbed. Now if we look at the ARPU and the monthly recurring revenue, it seems like the high tier is sticking. Does that align with what you guys are seeing on the campaign side?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So uh, well, oh no sorry, I mean"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“It went up to four point two percent... oh no sorry, it was three point eight percent.”处理成了“It was 3.8%.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "It went up to four point two percent... oh no sorry, it was three point eight percent. -> It was 3.8%."}, {"id": "q003", "category": "format", "question": "output中是否将“three point eight percent”规范化成了“3.8%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three point eight percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "three point eight percent -> 3.8%"}, {"id": "q004", "category": "content", "question": "output中是否存在“onboarding friction”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "onboarding friction"}, {"id": "q005", "category": "content", "question": "output中是否存在“conversion rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "conversion rate"}, {"id": "q006", "category": "content", "question": "output中是否存在“average order value”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "average order value"}, {"id": "q007", "category": "content", "question": "output中是否存在“monthly recurring revenue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "monthly recurring revenue"}, {"id": "q008", "category": "content", "question": "output中是否存在“campaign side”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "campaign side"}]}
{"status": "success", "index": 239, "source_record_id": "recheck.jsonl:410", "source_line": 233, "audio": "audio/meeting__recheckjsonl410.wav", "scene": "meeting", "language": "en", "oral": "Actually... oh, I just remembered, uh, we need to look at the latest feedback from... uh... Ji won Park in the Sales team... oh wait, not Sales, Marketing team. Anyway, she mentioned that our CAC is like, way higher than expected. And uh, it looks like our burn rate exceeding monthly budget by, uh, maybe twelve percent? So we really need to focus on cloud spend optimization for AWS. But like, the main issue is these... uh... cross functional dependency bottlenecks, right? It is just making everything move so slow.", "clean": "I just remembered we need to look at the latest feedback from Ji-won Park in the Marketing team. Anyway, she mentioned that our CAC is way higher than expected. And it looks like our burn rate is exceeding the monthly budget by maybe 12%? So we really need to focus on cloud spend optimization for AWS. But the main issue is these cross-functional dependency bottlenecks, right? It is just making everything move so slow.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually... oh, I just remembered, uh... like... oh wait"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Sales team... oh wait, not Sales, Marketing team”处理成了“Marketing team”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Sales team... oh wait, not Sales, Marketing team -> Marketing team"}, {"id": "q003", "category": "format", "question": "output中是否将“twelve percent”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twelve percent -> 12%"}, {"id": "q004", "category": "format", "question": "output中是否将“Ji won Park”规范化成了“Ji-won Park”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Ji won Park”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Ji won Park -> Ji-won Park"}, {"id": "q005", "category": "format", "question": "output中是否将“cross functional”规范化成了“cross-functional”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“cross functional”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "cross functional -> cross-functional"}, {"id": "q006", "category": "content", "question": "output中是否存在“latest feedback”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "latest feedback"}, {"id": "q007", "category": "content", "question": "output中是否存在“CAC is way higher than expected”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "CAC is way higher than expected"}, {"id": "q008", "category": "content", "question": "output中是否存在“burn rate exceeding monthly budget”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "burn rate exceeding monthly budget"}, {"id": "q009", "category": "content", "question": "output中是否存在“cloud spend optimization for AWS”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "cloud spend optimization for AWS"}, {"id": "q010", "category": "content", "question": "output中是否存在“dependency bottlenecks”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "dependency bottlenecks"}]}
{"status": "success", "index": 247, "source_record_id": "recheck.jsonl:423", "source_line": 241, "audio": "audio/meeting__recheckjsonl423.wav", "scene": "meeting", "language": "en", "oral": "So uh looking at the data from the test we saw a bump in LTV by about twelve percent... oh wait no it was actually fourteen point five percent. And then we noticed a significant lift in pipeline velocity... I mean... basically the leads are moving through the funnel way faster now. Plus we should see these gains stabilize within the next two quarters... also we need to track how that pipeline velocity affects the long term LTV across different segments.", "clean": "Looking at the data from the test, we saw a bump in LTV by about 14.5%. And then we noticed a significant lift in pipeline velocity; the leads are moving through the funnel way faster now. Plus we should see these gains stabilize within the next 2 quarters... also we need to track how that pipeline velocity affects the long term LTV across different segments.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pipeline velocity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: significant lift in pipeline velocity"}, {"id": "q002", "category": "content", "question": "output中是否保留了“leads are moving through the funnel”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the leads are moving through the funnel way faster now"}, {"id": "q003", "category": "format", "question": "output中是否将“fourteen point five percent”规范化成了“14.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fourteen point five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: fourteen point five percent; clean: 14.5%"}, {"id": "q004", "category": "format", "question": "output中是否将“two quarters”规范化成了“2 quarters”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two quarters”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two quarters; clean: 2 quarters"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh, oh wait no, I mean... basically"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“twelve percent... oh wait no it was actually fourteen point five percent”处理成了“14.5%”或“fourteen point five percent”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: twelve percent... oh wait no it was actually fourteen point five percent; clean: 14.5%"}]}
{"status": "success", "index": 248, "source_record_id": "recheck.jsonl:432", "source_line": 245, "audio": "audio/meeting__recheckjsonl432.wav", "scene": "meeting", "language": "en", "oral": "Oh! So, uh, we saw user retention dip after version two point one release. I mean, Sasha Ivanova and the team think it's just... how should I put it... user onboarding friction. It's hitting LTV to CAC ratio, and honestly, it might affect Monthly Recurring Revenue, right?", "clean": "Oh! So, we saw user retention dip after version 2.1 release. Sasha Ivanova and the team think it's user onboarding friction. It's hitting LTV to CAC ratio, and honestly, it might affect Monthly Recurring Revenue, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, I mean, just... how should I put it..."}, {"id": "q002", "category": "format", "question": "output中是否将“version two point one”规范化成了“version 2.1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“version two point one”", "score": 0}, {"text": "不存在“version 2.1”或“version two point one”", "score": -1}], "evidence": "version two point one -> version 2.1"}, {"id": "q003", "category": "content", "question": "output中是否存在“user retention dip”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "user retention dip"}, {"id": "q004", "category": "content", "question": "output中是否存在“user onboarding friction”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "user onboarding friction"}, {"id": "q005", "category": "content", "question": "output中是否存在“LTV to CAC ratio”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "LTV to CAC ratio"}, {"id": "q006", "category": "content", "question": "output中是否存在“Monthly Recurring Revenue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Monthly Recurring Revenue"}]}
{"status": "success", "index": 249, "source_record_id": "recheck.jsonl:424", "source_line": 242, "audio": "audio/meeting__recheckjsonl424.wav", "scene": "meeting", "language": "en", "oral": "Look, we got serious latency issues in US East region, latency issues that are killing our MAU. If we can't stabilize this, then we could see... how should I put it... if we don't fix this now we could lose the product market fit for new AI feature. We're seeing churn increase in EMEA market, churn increase that is hitting like three point five percent. It is... it is worrying because our active user growth... our active user growth is slowing down. We need to check the server logs in the eastern region, I mean the US East region, and see if the load balancer is failing. We need to act fast or we lose the traction we built in the new system.", "clean": "Look, we got serious latency issues in US East region, latency issues that are killing our MAU. If we can't stabilize this, then we could lose the product market fit for the new AI feature. We're seeing churn increase in EMEA market, churn increase that is hitting 3.5%. It is worrying because our active user growth is slowing down. We need to check the server logs in the US East region and see if the load balancer is failing. We need to act fast or we lose the traction we built in the new system.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“serious latency issues”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: serious latency issues"}, {"id": "q002", "category": "content", "question": "output中是否保留了“killing our MAU”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: killing our MAU"}, {"id": "q003", "category": "content", "question": "output中是否保留了“product market fit”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: product market fit"}, {"id": "q004", "category": "content", "question": "output中是否保留了“new AI feature”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: new AI feature"}, {"id": "q005", "category": "content", "question": "output中是否保留了“churn increase in EMEA market”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: churn increase in EMEA market"}, {"id": "q006", "category": "format", "question": "output中是否将“three point five percent”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three point five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three point five percent; clean: 3.5%"}, {"id": "q007", "category": "content", "question": "output中是否保留了“active user growth is slowing down”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: active user growth is slowing down"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“in the eastern region, I mean the US East region”处理成了“in the US East region”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: in the eastern region, I mean the US East region; clean: in the US East region"}, {"id": "q009", "category": "content", "question": "output中是否保留了“check the server logs”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check the server logs"}, {"id": "q010", "category": "content", "question": "output中是否保留了“load balancer is failing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: load balancer is failing"}, {"id": "q011", "category": "content", "question": "output中是否保留了“lose the traction”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: lose the traction"}, {"id": "q012", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: how should I put it, like, It is... it is, our active user growth... our active user growth, I mean"}]}
{"status": "success", "index": 251, "source_record_id": "recheck.jsonl:440", "source_line": 248, "audio": "audio/meeting__recheckjsonl440.wav", "scene": "meeting", "language": "en", "oral": "Basically we're sticking with React for frontend, sticking with React because it just handles state better, and we use a PostgreSQL database, oh no, MongoDB for the backend, so we... I mean... if we look at the architecture, it's just more flexible, more flexible for our current scale of about five hundred users.", "clean": "We're sticking with React for frontend because it just handles state better, and we use MongoDB for the backend. If we look at the architecture, it's just more flexible for our current scale of about 500 users.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“React for frontend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: sticking with React for frontend"}, {"id": "q002", "category": "content", "question": "output中是否保留了“handles state better”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: handles state better"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“PostgreSQL database, oh no, MongoDB”处理成了“MongoDB”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: PostgreSQL database, oh no, MongoDB; clean: MongoDB"}, {"id": "q004", "category": "content", "question": "output中是否保留了“MongoDB for the backend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: use MongoDB for the backend"}, {"id": "q005", "category": "content", "question": "output中是否保留了“architecture”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: look at the architecture"}, {"id": "q006", "category": "content", "question": "output中是否保留了“more flexible”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: just more flexible"}, {"id": "q007", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred; clean: 500"}, {"id": "q008", "category": "content", "question": "output中是否保留了“current scale”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: current scale"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Basically, sticking with React (重复), oh no, so we... I mean..., more flexible (重复)"}]}
{"status": "success", "index": 250, "source_record_id": "recheck.jsonl:425", "source_line": 243, "audio": "audio/meeting__recheckjsonl425.wav", "scene": "meeting", "language": "en", "oral": "So, uh, do we actually think this timeline is... I mean, is it realistic given where we are? I don't know, honestly, I'm kind of worried. Like, I was talking to Liam O'Connor and, uh, Alistair Cook, and it feels like we're hitting some major cross functional dependency bottlenecks. Specifically with the P ninety nine latency targets. I think Sanjay Gupta mentioned we're looking at, uh, four hundred milliseconds... oh no, sorry, five hundred milliseconds, which is way over budget. So, yeah, I just... I'm not sure we can hit the date without, you know, shifting some resources.", "clean": "Do we actually think this timeline is realistic given where we are? I don't know, honestly, I'm worried. I was talking to Liam O'Connor and Alistair Cook, and it feels like we're hitting some major cross-functional dependency bottlenecks, specifically with the P99 latency targets. I think Sanjay Gupta mentioned we're looking at 500 milliseconds, which is way over budget. So, I'm not sure we can hit the date without shifting some resources.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So, uh; I mean; kind of; Like; you know; So, yeah, I just..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“do we actually think this timeline is... I mean, is it realistic”处理成了“Do we actually think this timeline is realistic”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了自我纠正或重新表述过程但最终结果不完整", "score": 1}, {"text": "仍保留了自我纠正或重新表述过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: do we actually think this timeline is... I mean, is it realistic; clean: Do we actually think this timeline is realistic"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“four hundred milliseconds... oh no, sorry, five hundred milliseconds”处理成了“500 milliseconds”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: four hundred milliseconds... oh no, sorry, five hundred milliseconds; clean: 500 milliseconds"}, {"id": "q004", "category": "format", "question": "output中是否将“P ninety nine”规范化成了“P99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“P ninety nine”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: P ninety nine; clean: P99"}, {"id": "q005", "category": "format", "question": "output中是否将“five hundred milliseconds”规范化成了“500 milliseconds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred milliseconds”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: five hundred milliseconds; clean: 500 milliseconds"}, {"id": "q006", "category": "content", "question": "output中是否存在“Liam O'Connor”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Liam O'Connor"}, {"id": "q007", "category": "content", "question": "output中是否存在“Alistair Cook”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Alistair Cook"}, {"id": "q008", "category": "content", "question": "output中是否存在“cross-functional dependency bottlenecks”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: cross-functional dependency bottlenecks"}, {"id": "q009", "category": "content", "question": "output中是否存在“Sanjay Gupta”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Sanjay Gupta"}, {"id": "q010", "category": "content", "question": "output中是否存在“way over budget”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: way over budget"}, {"id": "q011", "category": "content", "question": "output中是否存在“shifting some resources”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: shifting some resources"}]}
{"status": "success", "index": 252, "source_record_id": "recheck.jsonl:436", "source_line": 246, "audio": "audio/meeting__recheckjsonl436.wav", "scene": "meeting", "language": "en", "oral": "So looking at the data, we saw a churn spike among enterprise tier users, a churn spike among enterprise tier users, right around mid March. It looks like we had some latency issues in the US East region, which probably hit the experience. Now, our Customer Acquisition Cost was around twelve dollars... oh no, it was fifteen dollars. If we can stabilize the platform performance, then we could probably get buy in from leadership to scale the spend. But we gotta be careful because the burn rate, the burn rate is currently way higher than we projected for this quarter.", "clean": "So looking at the data, we saw a churn spike among enterprise tier users right around mid-March. It looks like we had some latency issues in the US-East region, which probably hit the experience. Now, our Customer Acquisition Cost was around $15. If we can stabilize the platform performance, then we could probably get buy-in from leadership to scale the spend. But we gotta be careful because the burn rate is currently way higher than we projected for this quarter.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "a churn spike among enterprise tier users, a churn spike among enterprise tier users / the burn rate, the burn rate"}, {"id": "q002", "category": "format", "question": "output中是否将“mid March”规范化成了“mid-March”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“mid March”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "mid March -> mid-March"}, {"id": "q003", "category": "format", "question": "output中是否将“US East”规范化成了“US-East”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“US East”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "US East -> US-East"}, {"id": "q004", "category": "format", "question": "output中是否将“fifteen dollars”规范化成了“$15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fifteen dollars -> $15"}, {"id": "q005", "category": "format", "question": "output中是否将“buy in”规范化成了“buy-in”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“buy in”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "buy in -> buy-in"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“twelve dollars... oh no, it was fifteen dollars”处理成了“$15”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "twelve dollars... oh no, it was fifteen dollars -> $15"}, {"id": "q007", "category": "content", "question": "output中是否存在“churn spike among enterprise tier users”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "churn spike among enterprise tier users"}, {"id": "q008", "category": "content", "question": "output中是否存在“latency issues”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "latency issues"}, {"id": "q009", "category": "content", "question": "output中是否存在“Customer Acquisition Cost”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Customer Acquisition Cost"}, {"id": "q010", "category": "content", "question": "output中是否存在“stabilize the platform performance”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stabilize the platform performance"}, {"id": "q011", "category": "content", "question": "output中是否存在“scale the spend”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "scale the spend"}, {"id": "q012", "category": "content", "question": "output中是否存在“burn rate is currently way higher than we projected”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "burn rate is currently way higher than we projected"}]}
{"status": "success", "index": 254, "source_record_id": "recheck.jsonl:442", "source_line": 249, "audio": "audio/meeting__recheckjsonl442.wav", "scene": "meeting", "language": "en", "oral": "Uh, just to be clear, it is not a database lock. Like, people think it is, but it's actually... uh... the issue is... wait, let me rephrase... we have a memory leak in the API gateway. It hit ninety eight percent usage at ten fifteen AM, and it's crashing the pods.", "clean": "Just to be clear, it is not a database lock. People think it is, but we have a memory leak in the API gateway. It hit 98% usage at 10:15am, and it's crashing the pods.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Uh\", \"Like\", \"uh\", \"wait, let me rephrase\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“it's actually... uh... the issue is... wait, let me rephrase... we have a memory leak”处理成了“we have a memory leak”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"but it's actually... uh... the issue is... wait, let me rephrase... we have a memory leak\", clean: \"but we have a memory leak\""}, {"id": "q003", "category": "format", "question": "output中是否将“ninety eight percent”规范化成了“98%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ninety eight percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ninety eight percent\", clean: \"98%\""}, {"id": "q004", "category": "format", "question": "output中是否将“ten fifteen AM”规范化成了“10:15am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten fifteen AM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ten fifteen AM\", clean: \"10:15am\""}, {"id": "q005", "category": "content", "question": "output中是否存在“database lock”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"it is not a database lock\""}, {"id": "q006", "category": "content", "question": "output中是否存在“API gateway”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"memory leak in the API gateway\""}, {"id": "q007", "category": "content", "question": "output中是否存在“crashing the pods”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"it's crashing the pods\""}]}
{"status": "success", "index": 255, "source_record_id": "recheck.jsonl:444", "source_line": 250, "audio": "audio/meeting__recheckjsonl444.wav", "scene": "meeting", "language": "en", "oral": "Sarah, timeline... timeline looks... no, looks tight. Two weeks... oh no, three weeks, three weeks is not enough.", "clean": "Sarah, timeline looks tight. 3 weeks is not enough.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Sarah”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Sarah\""}, {"id": "q002", "category": "content", "question": "output中是否存在“is not enough”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"is not enough\""}, {"id": "q003", "category": "format", "question": "output中是否将“three weeks”规范化成了“3 weeks”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three weeks”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"three weeks\", clean: \"3 weeks\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"timeline... timeline\", \"looks... no, looks\", \"Two weeks... oh no\", \"three weeks, three weeks\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“timeline looks... no, looks tight”处理成了“timeline looks tight”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"timeline looks... no, looks tight\", clean: \"timeline looks tight\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Two weeks... oh no, three weeks”处理成了“3 weeks”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Two weeks... oh no, three weeks\", clean: \"3 weeks\""}]}
{"status": "success", "index": 256, "source_record_id": "recheck.jsonl:449", "source_line": 252, "audio": "audio/meeting__recheckjsonl449.wav", "scene": "meeting", "language": "en", "oral": "I think it's more like... it's more like a quick fix than a long term solution. Like, the logic logic here is a bit messy. It's more like a patch than a real refactor. We should probably look at line eighty four eighty four again.", "clean": "I think it's more like a quick fix than a long term solution. The logic here is a bit messy. It's more like a patch than a real refactor. We should probably look at line 84 again.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“quick fix”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: a quick fix"}, {"id": "q002", "category": "content", "question": "output中是否存在“long term solution”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: a long term solution"}, {"id": "q003", "category": "content", "question": "output中是否存在“patch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: a patch"}, {"id": "q004", "category": "content", "question": "output中是否存在“real refactor”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: a real refactor"}, {"id": "q005", "category": "format", "question": "output中是否将“eighty four”规范化成了“84”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: eighty four / clean: 84"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: it's more like... it's more like / Like, the logic logic / eighty four eighty four"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“it's more like... it's more like”处理成了“it's more like”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: it's more like... it's more like / clean: it's more like"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“the logic logic”处理成了“The logic”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: the logic logic / clean: The logic"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“line eighty four eighty four”处理成了“line 84”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: line eighty four eighty four / clean: line 84"}]}
{"status": "success", "index": 253, "source_record_id": "recheck.jsonl:431", "source_line": 244, "audio": "audio/meeting__recheckjsonl431.wav", "scene": "meeting", "language": "en", "oral": "Honestly, I know the team had some reservations, but if we look at the API uptime requirements, this is the only way to guarantee those nines. I mean, I've already started to socialize the proposal with Arjun Mehta and he's mostly on board, though we still need to tighten up the docs by the next steering committee. It's not like we're trying to invent something as radical as Satoshi Nakamoto did with Bitcoin or whatever, it's just... it's just about scalability. I think, uh, if we pivot now, we'll just be pushing the technical debt further down the road.", "clean": "Honestly, I know the team had some reservations, but if we look at the API uptime requirements, this is the only way to guarantee those nines. I've already started to socialize the proposal with Arjun Mehta and he's mostly on board, though we still need to tighten up the docs by the next steering committee. It's not like we're trying to invent something as radical as Satoshi Nakamoto did with Bitcoin or whatever, it's just about scalability. I think if we pivot now, we'll just be pushing the technical debt further down the road.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“API”进行了正确的大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“api”或“Api”等", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: \"API\", clean: \"API\""}, {"id": "q002", "category": "format", "question": "output中是否将人名“Arjun Mehta”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“arjun mehta”等", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: \"Arjun Mehta\", clean: \"Arjun Mehta\""}, {"id": "q003", "category": "format", "question": "output中是否将“Bitcoin”进行了正确的首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“bitcoin”等", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: \"Bitcoin\", clean: \"Bitcoin\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“those nines”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"guarantee those nines\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“socialize the proposal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"socialize the proposal\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“technical debt”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"technical debt\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"I mean,\", \"it's just... it's just\", \"uh,\" -> clean 中已去除"}]}
{"status": "success", "index": 257, "source_record_id": "recheck.jsonl:456", "source_line": 257, "audio": "audio/meeting__recheckjsonl456.wav", "scene": "meeting", "language": "en", "oral": "We add add the AI filter... no, AI search... search search for ten users.", "clean": "We add the AI search for 10 users.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“users”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: users"}, {"id": "q002", "category": "content", "question": "output中是否存在“add”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: add"}, {"id": "q003", "category": "format", "question": "output中是否将“ten”规范化成了“10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten; clean: 10"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: add add, search search"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“AI filter... no, AI search”处理成了“AI search”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: AI filter... no, AI search; clean: AI search"}]}
{"status": "success", "index": 260, "source_record_id": "recheck.jsonl:437", "source_line": 247, "audio": "audio/meeting__recheckjsonl437.wav", "scene": "meeting", "language": "en", "oral": "So uh look, we saw that conversion rate drop after v two point four release and I think... I mean... if we look at the API rate limiting thresholds, it's clear we need a change. Now, Amara Okafor suggested we could... uh... wait, let me rephrase that, we should actually scale the limits dynamically. I'm not talking about some crazy Satoshi Nakamoto level decentralization here, just basic load balancing. I want to get this fixed before Friday EOD so it doesn't affect the next sprint. Does that sound reasonable to you or do you think it'll take too long to implement in the current system? I mean we need to make sure the team can actually get it done by the end of the week so we don't have to delay the launch. But yeah, what's your take on the approach?", "clean": "Look, we saw that conversion rate drop after v2.4 release and I think if we look at the API rate limiting thresholds, it's clear we need a change. Now, Amara Okafor suggested we should scale the limits dynamically. I'm not talking about some crazy Satoshi Nakamoto level decentralization here, just basic load balancing. I want to get this fixed before Friday EOD so it doesn't affect the next sprint. Does that sound reasonable to you or do you think it'll take too long to implement in the current system? We need to make sure the team can actually get it done by the end of the week so we don't have to delay the launch. But yeah, what's your take on the approach?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“v two point four”规范化成了“v2.4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“v two point four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: v two point four; clean: v2.4"}, {"id": "q002", "category": "format", "question": "output中是否将人名“Amara Okafor”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在小写形式", "score": 0}, {"text": "不存在该人名或规范化错误", "score": -1}], "evidence": "oral: Amara Okafor; clean: Amara Okafor"}, {"id": "q003", "category": "format", "question": "output中是否将人名“Satoshi Nakamoto”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在小写形式", "score": 0}, {"text": "不存在该人名或规范化错误", "score": -1}], "evidence": "oral: Satoshi Nakamoto; clean: Satoshi Nakamoto"}, {"id": "q004", "category": "content", "question": "output中是否保留了“conversion rate drop”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: conversion rate drop"}, {"id": "q005", "category": "content", "question": "output中是否保留了“API rate limiting thresholds”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: API rate limiting thresholds"}, {"id": "q006", "category": "content", "question": "output中是否保留了“basic load balancing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: basic load balancing"}, {"id": "q007", "category": "content", "question": "output中是否保留了“next sprint”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: next sprint"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh look, I think... I mean..., we could... uh..."}, {"id": "q009", "category": "rephrase", "question": "output中是否将“we could... uh... wait, let me rephrase that, we should actually scale the limits dynamically”处理成了“we should scale the limits dynamically”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: we could... uh... wait, let me rephrase that, we should actually scale the limits dynamically; clean: we should scale the limits dynamically"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“I mean we need to make sure”处理成了“We need to make sure”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I mean we need to make sure; clean: We need to make sure"}]}
{"status": "success", "index": 258, "source_record_id": "recheck.jsonl:447", "source_line": 251, "audio": "audio/meeting__recheckjsonl447.wav", "scene": "meeting", "language": "en", "oral": "Look, I think we should go with a microservices approach, just... because the latency is like ten milliseconds... oh no, it is twenty five milliseconds, and we really... if we just... I mean, if we decouple the data layer, we can scale it to five thousand concurrent users, right?", "clean": "I think we should go with a microservices approach because the latency is 25 milliseconds, and if we decouple the data layer, we can scale it to 5,000 concurrent users, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“microservices approach”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: microservices approach"}, {"id": "q002", "category": "content", "question": "output中是否保留了“decouple the data layer”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: decouple the data layer"}, {"id": "q003", "category": "content", "question": "output中是否保留了“concurrent users”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: concurrent users"}, {"id": "q004", "category": "content", "question": "output中是否保留了“right?”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: right?"}, {"id": "q005", "category": "format", "question": "output中是否将“twenty five”规范化成了“25”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twenty five milliseconds, clean: 25 milliseconds"}, {"id": "q006", "category": "format", "question": "output中是否将“five thousand”规范化成了“5,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five thousand”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five thousand, clean: 5,000"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Look, just..., we really..., I mean,"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“ten milliseconds... oh no, it is twenty five milliseconds”处理成了“25 milliseconds”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ten milliseconds... oh no, it is twenty five milliseconds, clean: 25 milliseconds"}]}
{"status": "success", "index": 259, "source_record_id": "recheck.jsonl:451", "source_line": 253, "audio": "audio/meeting__recheckjsonl451.wav", "scene": "meeting", "language": "en", "oral": "So Sarah mentioned Sarah mentioned we should cut marketing by ten percent... wait, fifteen percent... no sorry, it is twenty percent! Anyway, the quarterly report... oh right, I think we need to double double the budget for RD because it's the only way we hit targets.", "clean": "Sarah mentioned we should cut marketing by 20%! Anyway, the quarterly report... I think we need to double the budget for R&D because it's the only way we hit targets.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So Sarah mentioned Sarah mentioned, double double, oh right"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ten percent... wait, fifteen percent... no sorry, it is twenty percent”处理成了“20%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "ten percent... wait, fifteen percent... no sorry, it is twenty percent! -> 20%"}, {"id": "q003", "category": "format", "question": "output中是否将“RD”规范化成了“R&D”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在RD", "score": 0}, {"text": "不存在RD或R&D", "score": -1}], "evidence": "RD -> R&D"}, {"id": "q004", "category": "content", "question": "output中是否存在“cut marketing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "cut marketing"}, {"id": "q005", "category": "content", "question": "output中是否存在“quarterly report”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "quarterly report"}, {"id": "q006", "category": "content", "question": "output中是否存在“double the budget”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "double the budget"}, {"id": "q007", "category": "content", "question": "output中是否存在“hit targets”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "hit targets"}]}
{"status": "success", "index": 262, "source_record_id": "recheck.jsonl:459", "source_line": 260, "audio": "audio/meeting__recheckjsonl459.wav", "scene": "meeting", "language": "en", "oral": "He said two weeks. No, three weeks. Still too short, right?", "clean": "He said 3 weeks. Still too short, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“He said two weeks. No, three weeks.”处理成了“He said 3 weeks.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: He said two weeks. No, three weeks. -> clean: He said 3 weeks."}, {"id": "q002", "category": "format", "question": "output中是否将“three”规范化成了“3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three weeks -> clean: 3 weeks"}, {"id": "q003", "category": "content", "question": "output中是否存在“Still too short, right?”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Still too short, right?"}, {"id": "q004", "category": "content", "question": "output中是否存在“He said”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: He said"}]}
{"status": "success", "index": 263, "source_record_id": "recheck.jsonl:465", "source_line": 262, "audio": "audio/meeting__recheckjsonl465.wav", "scene": "meeting", "language": "en", "oral": "Change this, change this loop. It's too slow, too slow.", "clean": "Change this loop. It's too slow.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Change this loop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Change this loop."}, {"id": "q002", "category": "content", "question": "output中是否存在“too slow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: It's too slow."}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Change this, change this loop. It's too slow, too slow."}]}
{"status": "success", "index": 261, "source_record_id": "recheck.jsonl:455", "source_line": 256, "audio": "audio/meeting__recheckjsonl455.wav", "scene": "meeting", "language": "en", "oral": "So, if we shift, shift about ten percent of the marketing budget, just... just ten percent, then we could, we could potentially scale our reach, reach more leads. I mean, it would really help us get to the next level, how should I say, it's definitely a win-win for the team, right?", "clean": "If we shift about 10% of the marketing budget, then we could potentially scale our reach, reach more leads. It would really help us get to the next level; it's definitely a win win for the team, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“shift about 10% of the marketing budget”或“shift about ten percent of the marketing budget”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: shift about 10% of the marketing budget; oral: shift, shift about ten percent of the marketing budget"}, {"id": "q002", "category": "content", "question": "output中是否保留了“potentially scale our reach”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: potentially scale our reach; oral: we could potentially scale our reach"}, {"id": "q003", "category": "content", "question": "output中是否保留了“reach more leads”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: reach more leads; oral: reach more leads"}, {"id": "q004", "category": "content", "question": "output中是否保留了“get to the next level”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: get to the next level; oral: get to the next level"}, {"id": "q005", "category": "content", "question": "output中是否保留了“win-win for the team”或“win win for the team”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: win win for the team; oral: win-win for the team"}, {"id": "q006", "category": "format", "question": "output中是否将“ten percent”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 10%; oral: ten percent"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So, shift, shift, just... just, we could, we could, I mean, how should I say"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“how should I say, it's definitely a win-win for the team”处理成了“it's definitely a win-win for the team”或“it's definitely a win win for the team”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: it's definitely a win win for the team; oral: how should I say, it's definitely a win-win for the team"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“I mean, it would really help us get to the next level”处理成了“it would really help us get to the next level”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: It would really help us get to the next level; oral: I mean, it would really help us get to the next level"}]}
{"status": "success", "index": 265, "source_record_id": "recheck.jsonl:458", "source_line": 259, "audio": "audio/meeting__recheckjsonl458.wav", "scene": "meeting", "language": "en", "oral": "So we saw user drop off at ten percent... no, twelve percent during onboarding. We really need to simplify simplify the flow. I think we should add add a one click sign in to boost conversion.", "clean": "So we saw user drop off at 12% during onboarding. We really need to simplify the flow. I think we should add a one click sign in to boost conversion.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在\"user drop off\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"user drop off\""}, {"id": "q002", "category": "content", "question": "output中是否存在\"during onboarding\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"during onboarding\""}, {"id": "q003", "category": "content", "question": "output中是否存在\"simplify the flow\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"simplify the flow\""}, {"id": "q004", "category": "content", "question": "output中是否存在\"one click sign in\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"one click sign in\""}, {"id": "q005", "category": "content", "question": "output中是否存在\"boost conversion\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"boost conversion\""}, {"id": "q006", "category": "format", "question": "output中是否将\"twelve percent\"规范化成了\"12%\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"twelve percent\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twelve percent\"; clean: \"12%\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"simplify simplify\", \"add add\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将\"ten percent... no, twelve percent\"处理成了\"12%\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"ten percent... no, twelve percent\"; clean: \"12%\""}]}
{"status": "success", "index": 264, "source_record_id": "recheck.jsonl:457", "source_line": 258, "audio": "audio/meeting__recheckjsonl457.wav", "scene": "meeting", "language": "en", "oral": "Uh first we launch in May... oh no, June. Then we we target ten thousand users, just to get the data data in. Finally, I think, it'll drive ten percent growth, right? Actually, it'll be a new star in the market.", "clean": "First we launch in June.\nThen we target 10,000 users, just to get the data in.\nFinally, I think it'll drive 10% growth, right? Actually, it'll be a new star in the market.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“May... oh no, June.”处理成了“June”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: May... oh no, June. / clean: June"}, {"id": "q002", "category": "format", "question": "output中是否将“ten thousand”规范化成了“10,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten thousand”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten thousand / clean: 10,000"}, {"id": "q003", "category": "format", "question": "output中是否将“ten percent”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten percent / clean: 10%"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Uh, oh no, we we, data data"}, {"id": "q005", "category": "content", "question": "output中是否存在“launch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: launch"}, {"id": "q006", "category": "content", "question": "output中是否存在“target users”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: target 10,000 users"}, {"id": "q007", "category": "content", "question": "output中是否存在“get the data in”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: get the data in"}, {"id": "q008", "category": "content", "question": "output中是否存在“drive growth”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: drive 10% growth"}, {"id": "q009", "category": "content", "question": "output中是否存在“new star in the market”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: new star in the market"}]}
{"status": "success", "index": 266, "source_record_id": "recheck.jsonl:452", "source_line": 254, "audio": "audio/meeting__recheckjsonl452.wav", "scene": "meeting", "language": "en", "oral": "So, I'm not totally sure but I think, how should I put it, we might have missed the mark on some deliverables. I mean, I feel I feel like the friction between product and engineering was... it was just too high. We had like twelve... oh no, fourteen different blockers in the last sprint. And I think we need to need to rethink how we handle the hand off, you know, maybe set up some clearer guidelines for the next quarter, though I'm not completely certain if that solves the root cause, right?", "clean": "I'm not totally sure but I think we might have missed the mark on some deliverables. I feel the friction between product and engineering was just too high. We had 14 different blockers in the last sprint. And I think we need to rethink how we handle the hand-off, maybe set up some clearer guidelines for the next quarter, though I'm not completely certain if that solves the root cause, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“missed the mark on some deliverables”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"we might have missed the mark on some deliverables\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“friction between product and engineering”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"the friction between product and engineering\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“root cause”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"solves the root cause\""}, {"id": "q004", "category": "format", "question": "output中是否将“hand off”规范化成了“hand-off”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“hand off”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"hand off\", clean: \"hand-off\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"So, \", \"how should I put it\", \"I mean\", \"I feel I feel like\", \"was... it was\", \"need to need to\", \"you know\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“twelve... oh no, fourteen”处理成了“14”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"twelve... oh no, fourteen\", clean: \"14\""}]}
{"status": "success", "index": 267, "source_record_id": "recheck.jsonl:454", "source_line": 255, "audio": "audio/meeting__recheckjsonl454.wav", "scene": "meeting", "language": "en", "oral": "So, uh, for the backend, we are mostly using Node.js with a PostgreSQL database, and, well, we have integrated Redis for caching to keep things fast. I mean, it is basically the standard setup we have had since twenty twenty two. Oh, and we are currently migrating some of the legacy services over to Go, specifically the ones handling high concurrency, which should, you know, probably reduce our latency by about fifteen percent. I think it makes sense given our current scale, but, uh, I wanted to see, like, what your take is on that? Do you think we should stick with that roadmap or maybe look into something like Rust for those specific modules?", "clean": "For the backend, we are mostly using Node.js with a PostgreSQL database, and we have integrated Redis for caching to keep things fast. It is the standard setup we have had since 2022. And we are currently migrating some of the legacy services over to Go, specifically the ones handling high concurrency, which should probably reduce our latency by about 15%. I think it makes sense given our current scale, but I wanted to see what your take is on that? Do you think we should stick with that roadmap or maybe look into something like Rust for those specific modules?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, uh, / and, well, / you know / but, uh, I wanted to see, like,"}, {"id": "q002", "category": "format", "question": "output中是否将“twenty twenty two”规范化成了“2022”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty twenty two -> 2022"}, {"id": "q003", "category": "format", "question": "output中是否将“fifteen percent”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fifteen percent -> 15%"}, {"id": "q004", "category": "format", "question": "output中是否将“Node.js”规范化为正确的大小写和标点格式？", "options": [{"text": "保留了“Node.js”", "score": 1}, {"text": "保留了“nodejs”等未规范格式的形式", "score": 0}, {"text": "缺失或拼写错误", "score": -1}], "evidence": "Node.js"}, {"id": "q005", "category": "format", "question": "output中是否将数据库名称规范化为“PostgreSQL”？", "options": [{"text": "保留了“PostgreSQL”", "score": 1}, {"text": "保留了“postgresql”等未规范大小写的形式", "score": 0}, {"text": "缺失或拼写错误", "score": -1}], "evidence": "PostgreSQL"}, {"id": "q006", "category": "content", "question": "output中是否保留了“backend”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "backend"}, {"id": "q007", "category": "content", "question": "output中是否保留了“caching”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "caching"}, {"id": "q008", "category": "content", "question": "output中是否保留了“legacy services”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "legacy services"}, {"id": "q009", "category": "content", "question": "output中是否保留了“high concurrency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "high concurrency"}, {"id": "q010", "category": "content", "question": "output中是否保留了“roadmap”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "roadmap"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“I mean, it is basically”处理成了“It is”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I mean, it is basically the standard setup -> It is the standard setup"}]}
{"status": "success", "index": 268, "source_record_id": "recheck.jsonl:460", "source_line": 261, "audio": "audio/meeting__recheckjsonl460.wav", "scene": "meeting", "language": "en", "oral": "Bottom line is we need to cut cut the marketing spend by twelve percent. Twelve percent because... wait, fifteen percent. Oh no, sorry, it's actually ten percent. Since ROI is... ROI is falling, we should move fund to the new new product line, make sure we arrive at goal by December thirtieth. It's the only way to stay in budget for this year's fiscal year.", "clean": "Bottom line is we need to cut the marketing spend by 10%. Since ROI is falling, we should move funds to the new product line, make sure we arrive at goal by December 30. It's the only way to stay in budget for this year's fiscal year.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'cut cut', 'Twelve percent because... wait', 'Oh no, sorry', 'ROI is... ROI is', 'new new'"}, {"id": "q002", "category": "format", "question": "output中是否将“ten percent”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'ten percent', clean: '10%'"}, {"id": "q003", "category": "format", "question": "output中是否将“December thirtieth”规范化成了“December 30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“December thirtieth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'December thirtieth', clean: 'December 30'"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“twelve percent... wait, fifteen percent... actually ten percent”的纠正过程去除，并保留了最终结果“10%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'twelve percent. Twelve percent because... wait, fifteen percent. Oh no, sorry, it's actually ten percent.', clean: '10%'"}, {"id": "q005", "category": "content", "question": "output中是否存在“cut the marketing spend”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'cut the marketing spend'"}, {"id": "q006", "category": "content", "question": "output中是否存在“Since ROI is falling”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Since ROI is falling'"}, {"id": "q007", "category": "content", "question": "output中是否存在“move funds to the new product line”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'move funds to the new product line'"}, {"id": "q008", "category": "content", "question": "output中是否存在“arrive at goal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'arrive at goal'"}, {"id": "q009", "category": "content", "question": "output中是否存在“stay in budget for this year's fiscal year”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'stay in budget for this year's fiscal year'"}]}
{"status": "success", "index": 269, "source_record_id": "recheck.jsonl:466", "source_line": 263, "audio": "audio/meeting__recheckjsonl466.wav", "scene": "meeting", "language": "en", "oral": "So, if we shift ten percent... no, twelve percent of the marketing spend, then we could, uh, we could actually scale the growth, scale the growth in the APAC region. I mean, if we... if we reallocate those funds... wait, we could probably hit target by October twelfth, oh no, October fourteenth.", "clean": "If we shift 12% of the marketing spend, then we could actually scale the growth in the APAC region. If we reallocate those funds, we could probably hit target by October 14.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“marketing spend”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: marketing spend"}, {"id": "q002", "category": "content", "question": "output中是否保留了“reallocate those funds”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: reallocate those funds"}, {"id": "q003", "category": "format", "question": "output中是否将“twelve percent”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twelve percent, clean: 12%"}, {"id": "q004", "category": "format", "question": "output中是否将“October fourteenth”规范化成了“October 14”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October fourteenth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: October fourteenth, clean: October 14"}, {"id": "q005", "category": "format", "question": "output中是否将“APAC”进行了全大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“apac”等小写形式", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: APAC, clean: APAC"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So, uh, I mean, wait, scale the growth, scale the growth"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“ten percent... no, twelve percent”处理成了“12%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "没有去除纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ten percent... no, twelve percent, clean: 12%"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“October twelfth, oh no, October fourteenth”处理成了“October 14”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "没有去除纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: October twelfth, oh no, October fourteenth, clean: October 14"}]}
{"status": "success", "index": 270, "source_record_id": "recheck.jsonl:475", "source_line": 267, "audio": "audio/meeting__recheckjsonl475.wav", "scene": "meeting", "language": "en", "oral": "Eh, Sarah said the churn rate hit twelve percent... no, it was fourteen percent. I think we need to look look at the feedback, just... how to put it... re examine the feedback patterns, you know?", "clean": "Sarah said the churn rate hit 14%. I think we need to look at the feedback, re-examine the feedback patterns.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Eh, look look, just... how to put it..., you know?"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“twelve percent... no, it was fourteen percent”处理成了“fourteen percent”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "twelve percent... no, it was fourteen percent -> fourteen percent"}, {"id": "q003", "category": "format", "question": "output中是否将“fourteen percent”规范化成了“14%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fourteen percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fourteen percent -> 14%"}, {"id": "q004", "category": "content", "question": "output中是否存在“Sarah said the churn rate hit”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Sarah said the churn rate hit"}, {"id": "q005", "category": "content", "question": "output中是否存在“look at the feedback”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "look at the feedback"}, {"id": "q006", "category": "content", "question": "output中是否存在“re-examine the feedback patterns”或“re examine the feedback patterns”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "re examine the feedback patterns / re-examine the feedback patterns"}]}
{"status": "success", "index": 272, "source_record_id": "recheck.jsonl:467", "source_line": 264, "audio": "audio/meeting__recheckjsonl467.wav", "scene": "meeting", "language": "en", "oral": "So um, looking at the pipeline, I think we really need to focus on the senior dev roles for the marketing team... oh no, I mean the product team, since we got like, uh, four open headcounts right now and we're sort of... we're trailing behind on the... actually, let's just prioritize the backend stuff first because the current velocity is like, um, twelve percent... wait, no, fifteen percent lower than we planned for this quarter.", "clean": "Looking at the pipeline, I think we really need to focus on the senior dev roles for the product team, since we got 4 open headcounts right now and we're trailing behind on the... actually, let's just prioritize the backend stuff first because the current velocity is 15% lower than we planned for this quarter.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pipeline”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Looking at the pipeline"}, {"id": "q002", "category": "content", "question": "output中是否保留了“senior dev roles”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: focus on the senior dev roles"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“marketing team... oh no, I mean the product team”处理成了“product team”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: marketing team... oh no, I mean the product team; clean: product team"}, {"id": "q004", "category": "format", "question": "output中是否将“four open headcounts”中的“four”规范化成了“4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four open headcounts; clean: 4 open headcounts"}, {"id": "q005", "category": "content", "question": "output中是否保留了“open headcounts”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 4 open headcounts"}, {"id": "q006", "category": "content", "question": "output中是否保留了“trailing behind”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: trailing behind"}, {"id": "q007", "category": "content", "question": "output中是否保留了“prioritize the backend stuff”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: prioritize the backend stuff"}, {"id": "q008", "category": "content", "question": "output中是否保留了“current velocity”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: current velocity"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“twelve percent... wait, no, fifteen percent”处理成了“15%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: twelve percent... wait, no, fifteen percent; clean: 15%"}, {"id": "q010", "category": "content", "question": "output中是否保留了“planned for this quarter”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: planned for this quarter"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So um, like, uh, sort of, wait, no"}]}
{"status": "success", "index": 273, "source_record_id": "recheck.jsonl:476", "source_line": 268, "audio": "audio/meeting__recheckjsonl476.wav", "scene": "meeting", "language": "en", "oral": "I think some think we can finish by Friday... oh no, by next Tuesday. But we really need, we really need to scale back scope. We should... I mean... if we cut two features, we can actually hit that date, hit that date.", "clean": "I think we can finish by next Tuesday. But we really need to scale back scope. If we cut 2 features, we can actually hit that date.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“Friday... oh no, by next Tuesday”处理成了“next Tuesday”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'by Friday... oh no, by next Tuesday', clean: 'by next Tuesday'"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'some think', 'oh no', 'we really need, we really need', 'We should... I mean...', 'hit that date, hit that date'"}, {"id": "q003", "category": "format", "question": "output中是否将“two”规范化成了“2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'two features', clean: '2 features'"}, {"id": "q004", "category": "content", "question": "output中是否存在“scale back scope”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'scale back scope'"}, {"id": "q005", "category": "content", "question": "output中是否存在“hit that date”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'hit that date'"}]}
{"status": "success", "index": 271, "source_record_id": "recheck.jsonl:468", "source_line": 265, "audio": "audio/meeting__recheckjsonl468.wav", "scene": "meeting", "language": "en", "oral": "So uh looking at the conversion rates for variant B it seems like we actually saw a jump of about three point five percent which is great but then again when you look at the bounce rate it kind of... well it suggests that the new landing page might be a bit too cluttered for the mobile users so maybe we should try a third version for the launch on June first twenty twenty five to see if we can hit that five hundred twelve lead target", "clean": "Looking at the conversion rates for variant B, it seems we saw a jump of about 3.5%, which is great, but then again when you look at the bounce rate, it suggests that the new landing page might be a bit too cluttered for the mobile users, so maybe we should try a third version for the launch on June 1, 2025 to see if we can hit that 512 lead target", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“conversion rates for variant B”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Looking at the conversion rates for variant B"}, {"id": "q002", "category": "content", "question": "output中是否保留了“bounce rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: when you look at the bounce rate"}, {"id": "q003", "category": "content", "question": "output中是否保留了“new landing page might be a bit too cluttered for the mobile users”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the new landing page might be a bit too cluttered for the mobile users"}, {"id": "q004", "category": "content", "question": "output中是否保留了“try a third version for the launch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: try a third version for the launch"}, {"id": "q005", "category": "content", "question": "output中是否保留了“lead target”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 512 lead target"}, {"id": "q006", "category": "format", "question": "output中是否将“three point five percent”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three point five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three point five percent, clean: 3.5%"}, {"id": "q007", "category": "format", "question": "output中是否将“June first twenty twenty five”规范化成了“June 1, 2025”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“June first twenty twenty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: June first twenty twenty five, clean: June 1, 2025"}, {"id": "q008", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred twelve, clean: 512"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh, it kind of... well"}]}
{"status": "success", "index": 274, "source_record_id": "recheck.jsonl:479", "source_line": 269, "audio": "audio/meeting__recheckjsonl479.wav", "scene": "meeting", "language": "en", "oral": "So, um, looking back at the last three months, if we just... if we actually shift our focus toward the Q four targets, then we could probably avoid the same bottlenecks we hit in August... oh no, I mean September, and maybe just streamline how the dev team and product sync up every Tuesday morning to keep things moving faster, you know?", "clean": "Looking back at the last 3 months, if we shift our focus toward the Q4 targets, then we could probably avoid the same bottlenecks we hit in September, and maybe just streamline how the dev team and product sync up every Tuesday morning to keep things moving faster.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“three months”规范化成了“3 months”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three months”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"three months\", clean: \"3 months\""}, {"id": "q002", "category": "format", "question": "output中是否将“Q four”规范化成了“Q4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Q four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Q four\", clean: \"Q4\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“August... oh no, I mean September”处理成了“September”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"August... oh no, I mean September\", clean: \"September\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"So, um\", \"if we just... if we actually\", \"you know?\""}, {"id": "q005", "category": "content", "question": "output中是否存在“avoid the same bottlenecks”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"avoid the same bottlenecks\""}, {"id": "q006", "category": "content", "question": "output中是否存在“streamline how the dev team and product sync up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"streamline how the dev team and product sync up\""}, {"id": "q007", "category": "content", "question": "output中是否存在“every Tuesday morning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"every Tuesday morning\""}, {"id": "q008", "category": "content", "question": "output中是否存在“keep things moving faster”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"keep things moving faster\""}]}
{"status": "success", "index": 275, "source_record_id": "recheck.jsonl:469", "source_line": 266, "audio": "audio/meeting__recheckjsonl469.wav", "scene": "meeting", "language": "en", "oral": "So, look, I think we all feel the weight of this quarter, and I know, I know the numbers were tough, like, we hit maybe forty two percent of target, but honestly, the main issue was... the main issue was the misalignment between product and engineering. We need to find a way to find a way to sync better, maybe start by reviewing the roadmap on October twelfth, or we could just... actually, let's just focus on the blockers first because the blockers are what's really killing our velocity right now.", "clean": "I think we all feel the weight of this quarter, and I know the numbers were tough, we hit maybe 42% of target, but honestly, the main issue was the misalignment between product and engineering. We need to find a way to sync better, maybe start by reviewing the roadmap on October 12, or actually, let's just focus on the blockers first because the blockers are what's really killing our velocity right now.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, look / I know, I know / like / the main issue was... the main issue was / find a way to find a way to / or we could just..."}, {"id": "q002", "category": "format", "question": "output中是否将“forty two percent”规范化成了“42%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty two percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "forty two percent -> 42%"}, {"id": "q003", "category": "format", "question": "output中是否将“October twelfth”规范化成了“October 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October twelfth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "October twelfth -> October 12"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“or we could just... actually, let's just focus on”处理成了“actually, let's just focus on”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "or we could just... actually, let's just focus on -> actually, let's just focus on"}, {"id": "q005", "category": "content", "question": "output中是否存在“feel the weight of this quarter”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "feel the weight of this quarter"}, {"id": "q006", "category": "content", "question": "output中是否存在“numbers were tough”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "numbers were tough"}, {"id": "q007", "category": "content", "question": "output中是否存在“misalignment between product and engineering”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "misalignment between product and engineering"}, {"id": "q008", "category": "content", "question": "output中是否存在“reviewing the roadmap”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "reviewing the roadmap"}, {"id": "q009", "category": "content", "question": "output中是否存在“killing our velocity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "killing our velocity"}]}
{"status": "success", "index": 276, "source_record_id": "recheck.jsonl:482", "source_line": 272, "audio": "audio/meeting__recheckjsonl482.wav", "scene": "meeting", "language": "en", "oral": "Sarah, conversion rate rose ten percent... no, twelve percent. Twelve percent is a big win for the new page, the new page.", "clean": "Sarah, conversion rate rose 12%. 12% is a big win for the new page.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在\"Sarah\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Sarah, conversion rate rose 12%.\""}, {"id": "q002", "category": "content", "question": "output中是否存在\"conversion rate\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"conversion rate rose 12%.\""}, {"id": "q003", "category": "content", "question": "output中是否存在\"big win\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"12% is a big win for the new page.\""}, {"id": "q004", "category": "content", "question": "output中是否存在\"new page\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"a big win for the new page.\""}, {"id": "q005", "category": "format", "question": "output中是否将\"twelve percent\"规范化成了\"12%\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"twelve percent\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twelve percent\"; clean: \"12%\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"the new page, the new page\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将\"ten percent... no, twelve percent\"处理成了\"12%\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"ten percent... no, twelve percent\"; clean: \"12%\""}]}
{"status": "success", "index": 277, "source_record_id": "recheck.jsonl:480", "source_line": 270, "audio": "audio/meeting__recheckjsonl480.wav", "scene": "meeting", "language": "en", "oral": "Okay, bottom line is we gotta roll back the latest deploy. Uh, look, we seeing a spike in five hundred errors, like, maybe ten percent... oh no, it's actually twenty two percent of all traffic. So, we need to get this fixed fast before it hit the east... uh, winter region. I mean, the East region. Let's move.", "clean": "Bottom line is we gotta roll back the latest deploy. We're seeing a spike in 500 errors, maybe 22% of all traffic. So, we need to get this fixed fast before it hits the East region. Let's move.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“roll back the latest deploy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "roll back the latest deploy"}, {"id": "q002", "category": "content", "question": "output中是否存在“fixed fast”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "get this fixed fast"}, {"id": "q003", "category": "content", "question": "output中是否存在“Let's move”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Let's move"}, {"id": "q004", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred errors -> 500 errors"}, {"id": "q005", "category": "format", "question": "output中是否将“twenty two percent”规范化成了“22%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty two percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty two percent -> 22%"}, {"id": "q006", "category": "format", "question": "output中是否将“east”规范化成了首字母大写的“East”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“east”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "east region -> East region"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Okay, Uh, look, like, oh no, I mean"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“ten percent... oh no, it's actually twenty two percent”处理成了“22%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "maybe ten percent... oh no, it's actually twenty two percent -> maybe 22%"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“east... uh, winter region. I mean, the East region”处理成了“East region”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "the east... uh, winter region. I mean, the East region -> the East region"}]}
{"status": "success", "index": 278, "source_record_id": "recheck.jsonl:487", "source_line": 275, "audio": "audio/meeting__recheckjsonl487.wav", "scene": "meeting", "language": "en", "oral": "Look, we need to roll back now. Uh, the error rate is hitting five percent, and... I mean, if we... we should probably just revert to version two point zero four immediately.", "clean": "Look, we need to roll back now. The error rate is hitting 5%, and we should probably just revert to v2.04 immediately.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“roll back”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "we need to roll back now"}, {"id": "q002", "category": "format", "question": "output中是否将“five percent”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five percent -> 5%"}, {"id": "q003", "category": "format", "question": "output中是否将“version two point zero four”规范化成了“v2.04”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“version two point zero four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "version two point zero four -> v2.04"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Uh, and..., I mean, if we..."}, {"id": "q005", "category": "rephrase", "question": "output中是否将“and... I mean, if we... we should probably”处理成了“and we should probably”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "and... I mean, if we... we should probably -> and we should probably"}]}
{"status": "success", "index": 279, "source_record_id": "recheck.jsonl:481", "source_line": 271, "audio": "audio/meeting__recheckjsonl481.wav", "scene": "meeting", "language": "en", "oral": "Look, we've been looking at the current backlog and the team team is feeling a bit stretched, so we might need to push the launch to October twelfth... oh wait, October fourteenth. I think we think we should probably trim some features just to be safe, so let's aim for a soft launch by October twentieth instead, yeah?", "clean": "Look, we've been looking at the current backlog and the team is feeling a bit stretched, so we might need to push the launch to October 14. I think we should probably trim some features just to be safe, so let's aim for a soft launch by October 20 instead, yeah?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "team team, I think we think we"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“October twelfth... oh wait, October fourteenth”处理成了“October 14”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "October twelfth... oh wait, October fourteenth -> October 14"}, {"id": "q003", "category": "format", "question": "output中是否将“October fourteenth”规范化成了“October 14”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October fourteenth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "October fourteenth -> October 14"}, {"id": "q004", "category": "format", "question": "output中是否将“October twentieth”规范化成了“October 20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October twentieth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "October twentieth -> October 20"}, {"id": "q005", "category": "content", "question": "output中是否存在“current backlog”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "current backlog"}, {"id": "q006", "category": "content", "question": "output中是否存在“feeling a bit stretched”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "feeling a bit stretched"}, {"id": "q007", "category": "content", "question": "output中是否存在“push the launch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "push the launch"}, {"id": "q008", "category": "content", "question": "output中是否存在“trim some features”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "trim some features"}, {"id": "q009", "category": "content", "question": "output中是否存在“soft launch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "soft launch"}]}
{"status": "success", "index": 281, "source_record_id": "recheck.jsonl:486", "source_line": 274, "audio": "audio/meeting__recheckjsonl486.wav", "scene": "meeting", "language": "en", "oral": "I'm not totally sure but I think... uh... if we push the date to October twelfth, we might... wait, let me rephrase... if we shift the deadline to October twelfth, we can probably hit those three main KPIs.", "clean": "I'm not totally sure, but I think if we shift the deadline to October 12, we can probably hit those three main KPIs.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了\"I'm not totally sure\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"I'm not totally sure, but I think...\""}, {"id": "q002", "category": "format", "question": "output中是否将\"October twelfth\"规范化成了\"October 12\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"October twelfth\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"October twelfth\" -> clean: \"October 12\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh...\", \"wait, let me rephrase...\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将\"push the date\"处理成了\"shift the deadline\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"if we push the date... wait, let me rephrase... if we shift the deadline\" -> clean: \"if we shift the deadline\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将\"we might\"处理成了\"we can probably hit\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"we might... wait, let me rephrase... we can probably hit\" -> clean: \"we can probably hit\""}, {"id": "q006", "category": "content", "question": "output中是否保留了\"three main KPIs\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"we can probably hit those three main KPIs\""}]}
{"status": "success", "index": 282, "source_record_id": "recheck.jsonl:488", "source_line": 276, "audio": "audio/meeting__recheckjsonl488.wav", "scene": "meeting", "language": "en", "oral": "Honestly, the current sprint cycle, sprint cycle is just too slow. We need to move to two week cycles, two week cycles, to hit that ninety percent stability target by December twelfth.", "clean": "Honestly, the current sprint cycle is just too slow. We need to move to 2-week cycles to hit that 90% stability target by December 12.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "sprint cycle, sprint cycle; two week cycles, two week cycles"}, {"id": "q002", "category": "format", "question": "output中是否将“two week”规范化成了“2-week”？", "options": [{"text": "规范化成了“2-week”或类似合理形式", "score": 1}, {"text": "没有规范化但存在“two week”", "score": 0}, {"text": "不存在“two week”或“2-week”", "score": -1}], "evidence": "two week cycles -> 2-week cycles"}, {"id": "q003", "category": "format", "question": "output中是否将“ninety percent”规范化成了“90%”？", "options": [{"text": "规范化成了“90%”或类似合理形式", "score": 1}, {"text": "没有规范化但存在“ninety percent”", "score": 0}, {"text": "不存在“ninety percent”或“90%”", "score": -1}], "evidence": "ninety percent -> 90%"}, {"id": "q004", "category": "format", "question": "output中是否将“December twelfth”规范化成了“December 12”？", "options": [{"text": "规范化成了“December 12”或类似合理形式", "score": 1}, {"text": "没有规范化但存在“December twelfth”", "score": 0}, {"text": "不存在“December twelfth”或“December 12”", "score": -1}], "evidence": "December twelfth -> December 12"}, {"id": "q005", "category": "content", "question": "output中是否存在“sprint cycle”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sprint cycle"}, {"id": "q006", "category": "content", "question": "output中是否存在“stability target”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stability target"}]}
{"status": "success", "index": 280, "source_record_id": "recheck.jsonl:495", "source_line": 279, "audio": "audio/meeting__recheckjsonl495.wav", "scene": "meeting", "language": "en", "oral": "Q3 loss was ten percent... no, twelve percent.", "clean": "Q3 loss was 12%.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将\"Q3\"保留为\"Q3\"（大写Q加数字3）？", "options": [{"text": "保留了正确的\"Q3\"格式", "score": 1}, {"text": "存在但格式不正确如\"q3\"或\"Q 3\"等", "score": 0}, {"text": "不存在", "score": -1}], "evidence": "clean中的\"Q3\""}, {"id": "q002", "category": "format", "question": "output中是否将\"twelve percent\"规范化成了\"12%\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"twelve percent\"", "score": 0}, {"text": "不存在\"twelve percent\"或\"12%\"", "score": -1}], "evidence": "oral中的\"twelve percent\"和clean中的\"12%\""}, {"id": "q003", "category": "content", "question": "output中是否存在\"loss\"（损失/亏损）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean中的\"loss\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无明显口语词或重复词语"}, {"id": "q005", "category": "rephrase", "question": "output中是否将\"ten percent... no, twelve percent\"处理成了\"twelve percent\"或\"12%\"？", "options": [{"text": "进行了相同处理（保留最终结果，删除纠错过程）", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral中的\"ten percent... no, twelve percent\"和clean中的\"12%\""}]}
{"status": "success", "index": 285, "source_record_id": "recheck.jsonl:513", "source_line": 285, "audio": "audio/meeting__recheckjsonl513.wav", "scene": "meeting", "language": "zh", "oral": "预算能加点吗？十万，不对，十五万，我觉得行。", "clean": "预算能加点吗？15万，我觉得行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“预算能加点吗”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "预算能加点吗？"}, {"id": "q002", "category": "format", "question": "output中是否将“十五万”规范化成了“15万”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "十五万 -> 15万"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“十万，不对，十五万”处理成了“15万”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "十万，不对，十五万 -> 15万"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "十万，不对，十五万"}, {"id": "q005", "category": "content", "question": "output中是否保留了“我觉得行”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "我觉得行。"}]}
{"status": "success", "index": 283, "source_record_id": "recheck.jsonl:485", "source_line": 273, "audio": "audio/meeting__recheckjsonl485.wav", "scene": "meeting", "language": "en", "oral": "Actually, I think some people think this loop is causing the memory leak, but it is not, it is not the loop. The issue is actually the cache size... oh no, the cache limit, it is set to five hundred megabytes, which is way too high, so we should probably reduce it to two hundred fifty six megabytes, you know, just to be safe, right?", "clean": "I think some people think this loop is causing the memory leak, but it is not the loop. The issue is the cache limit; it is set to 500MB, which is way too high, so we should probably reduce it to 256MB just to be safe, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, oh no, you know, it is not, it is not"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred megabytes”规范化成了“500MB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred megabytes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred megabytes -> 500MB"}, {"id": "q003", "category": "format", "question": "output中是否将“two hundred fifty six megabytes”规范化成了“256MB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred fifty six megabytes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred fifty six megabytes -> 256MB"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“the cache size... oh no, the cache limit”处理成了“the cache limit”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "the cache size... oh no, the cache limit -> the cache limit"}, {"id": "q005", "category": "content", "question": "output中是否存在“this loop is causing the memory leak”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "this loop is causing the memory leak"}, {"id": "q006", "category": "content", "question": "output中是否存在“it is not the loop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "it is not the loop"}, {"id": "q007", "category": "content", "question": "output中是否存在“way too high”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "way too high"}, {"id": "q008", "category": "content", "question": "output中是否存在“just to be safe”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "just to be safe"}]}
{"status": "success", "index": 284, "source_record_id": "recheck.jsonl:494", "source_line": 278, "audio": "audio/meeting__recheckjsonl494.wav", "scene": "meeting", "language": "en", "oral": "Um, so the conversion rate hit twelve percent... oh no, it was fourteen point two percent, and we... just... the landing page... like, the bounce rate was... wait, let me just say, it actually performed better, right?", "clean": "The conversion rate hit 14.2%, and the landing page bounce rate actually performed better, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“twelve percent”修正为了“14.2%”，并去除了修正过程？", "options": [{"text": "进行了相同处理，保留了最终结果并去除了修正过程", "score": 2}, {"text": "去除了修正过程但最终结果不完整或错误", "score": 1}, {"text": "仍保留了修正过程（如同时出现twelve percent和14.2%）", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: hit twelve percent... oh no, it was fourteen point two percent; clean: hit 14.2%"}, {"id": "q002", "category": "format", "question": "output中是否将“fourteen point two percent”规范化成了“14.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fourteen point two percent”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: 14.2%"}, {"id": "q003", "category": "content", "question": "output中是否存在“conversion rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: conversion rate"}, {"id": "q004", "category": "content", "question": "output中是否存在“landing page”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: landing page"}, {"id": "q005", "category": "content", "question": "output中是否存在“bounce rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: bounce rate"}, {"id": "q006", "category": "content", "question": "output中是否存在“performed better”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: performed better"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Um, oh no, just, like, wait"}]}
{"status": "success", "index": 286, "source_record_id": "recheck.jsonl:506", "source_line": 282, "audio": "audio/meeting__recheckjsonl506.wav", "scene": "meeting", "language": "zh", "oral": "我我我今年KPI达成率是百分之一百一十二，嗯，其实应该是百分之一百一十五，就是我想想啊，整体超额完成了一点。", "clean": "我今年KPI达成率是115%，整体超额完成了一点。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“KPI达成率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: KPI达成率"}, {"id": "q002", "category": "content", "question": "output中是否存在“整体超额完成了一点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 整体超额完成了一点"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之一百一十五”规范化成了“115%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之一百一十五”", "score": 0}, {"text": "不存在“115%”或“百分之一百一十五”", "score": -1}], "evidence": "oral: 百分之一百一十五 / clean: 115%"}, {"id": "q004", "category": "format", "question": "output中是否将“KPI”保持了英文字母大写格式？", "options": [{"text": "保持了相同的大写格式", "score": 1}, {"text": "没有保持大写格式但存在“kpi”或“Kpi”等", "score": 0}, {"text": "不存在“KPI”或大小写错误", "score": -1}], "evidence": "oral: KPI / clean: KPI"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我我我 / 嗯 / 就是我想想啊"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之一百一十二，嗯，其实应该是百分之一百一十五”处理成了“115%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了“百分之一百一十二”等解释性语句但没保留“115%”", "score": 1}, {"text": "没有去除“百分之一百一十二”等解释性语句", "score": 0}, {"text": "output中没有“115%”或“百分之一百一十五”", "score": -1}], "evidence": "oral: 百分之一百一十二，嗯，其实应该是百分之一百一十五 / clean: 115%"}]}
{"status": "success", "index": 288, "source_record_id": "recheck.jsonl:497", "source_line": 280, "audio": "audio/meeting__recheckjsonl497.wav", "scene": "meeting", "language": "en", "oral": "Uh, I think we should, well, maybe add one click checkout, and then, how should I put it, just, like, a loyalty system, plus, oh, we could get ten percent more users, ya, in the new market, right, ba.", "clean": "I think we should add one-click checkout, a loyalty system, plus we could get 10% more users in the new market.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Uh, well, maybe, and then, how should I put it, just, like, oh, ya, right, ba"}, {"id": "q002", "category": "format", "question": "output中是否将“one click checkout”规范化成了“one-click checkout”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one click checkout”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "one click checkout -> one-click checkout"}, {"id": "q003", "category": "format", "question": "output中是否将“ten percent”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten percent -> 10%"}, {"id": "q004", "category": "content", "question": "output中是否存在“loyalty system”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "a loyalty system"}, {"id": "q005", "category": "content", "question": "output中是否存在“new market”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "in the new market"}, {"id": "q006", "category": "content", "question": "output中是否存在“more users”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "more users"}]}
{"status": "success", "index": 287, "source_record_id": "recheck.jsonl:489", "source_line": 277, "audio": "audio/meeting__recheckjsonl489.wav", "scene": "meeting", "language": "en", "oral": "So uh look, I know last quarter was... it was rough, really rough for everyone. We had those server outages and, like, the team burnout... um, wait, the budget cut was... ten percent... no, sorry, twelve percent... wait, that's wrong, it was fifteen percent! And uh, the timeline... that was a mess, I think. I mean, the communication... uh, actually, the real issue we gotta tackle today is how we handle the handoff between product and engineering.", "clean": "Look, I know last quarter was rough, really rough for everyone. We had those server outages and the team burnout. The budget cut was 15%! And the timeline was a mess, I think. The real issue we gotta tackle today is how we handle the handoff between product and engineering.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“server outages”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: We had those server outages"}, {"id": "q002", "category": "content", "question": "output中是否存在“team burnout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: and the team burnout"}, {"id": "q003", "category": "content", "question": "output中是否存在“timeline was a mess”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: And the timeline was a mess"}, {"id": "q004", "category": "content", "question": "output中是否存在“handoff between product and engineering”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: how we handle the handoff between product and engineering"}, {"id": "q005", "category": "format", "question": "output中是否将“fifteen percent”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: it was fifteen percent; clean: The budget cut was 15%"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh look, like, um, wait, I mean, actually"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“I mean, the communication... uh, actually, the real issue”处理成了“the real issue”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I mean, the communication... uh, actually, the real issue; clean: The real issue"}]}
{"status": "success", "index": 289, "source_record_id": "recheck.jsonl:500", "source_line": 281, "audio": "audio/meeting__recheckjsonl500.wav", "scene": "meeting", "language": "en", "oral": "Look, for the phase one deadline, it's more like... we are polishing existing features than building new ones, just to hit October twelfth. I think we... let's say, it's better to trim scope now than risk a delay, you know?", "clean": "For the phase 1 deadline, we are polishing existing features than building new ones, just to hit October 12. I think it's better to trim scope now than risk a delay.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Look, ... it's more like... ... let's say, ... you know?'; clean: 删除了这些口语和犹豫词"}, {"id": "q002", "category": "format", "question": "output中是否将“phase one”规范化成了“phase 1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“phase one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'phase one'; clean: 'phase 1'"}, {"id": "q003", "category": "format", "question": "output中是否将“October twelfth”规范化成了“October 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“October twelfth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'October twelfth'; clean: 'October 12'"}, {"id": "q004", "category": "content", "question": "output中是否存在“polishing existing features”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'polishing existing features'"}, {"id": "q005", "category": "content", "question": "output中是否存在“trim scope”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'trim scope'"}, {"id": "q006", "category": "content", "question": "output中是否存在“risk a delay”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'risk a delay'"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“we... let's say, it's”处理成了“it's”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'I think we... let's say, it's better'; clean: 'I think it's better'"}]}
{"status": "success", "index": 291, "source_record_id": "recheck.jsonl:507", "source_line": 283, "audio": "audio/meeting__recheckjsonl507.wav", "scene": "meeting", "language": "zh", "oral": "老大说流程得简化，嗯，我觉得……其实应该把……怎么说呢，直接在星周报里同步，吧，这样能省掉两三个环节呀。", "clean": "老大说流程得简化，我觉得其实应该直接在星周报里同步，这样能省掉2-3个环节呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“老大说流程得简化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 老大说流程得简化"}, {"id": "q002", "category": "content", "question": "output中是否存在“星周报里同步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接在星周报里同步"}, {"id": "q003", "category": "format", "question": "output中是否将“两三个”规范化成了“2-3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两三个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 两三个; clean: 2-3"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, ……, 怎么说呢, 吧"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“我觉得……其实应该把……怎么说呢，直接在星周报里同步，吧”处理成了“我觉得其实应该直接在星周报里同步”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我觉得……其实应该把……怎么说呢，直接在星周报里同步，吧; clean: 我觉得其实应该直接在星周报里同步"}]}
{"status": "success", "index": 290, "source_record_id": "recheck.jsonl:509", "source_line": 284, "audio": "audio/meeting__recheckjsonl509.wav", "scene": "meeting", "language": "zh", "oral": "简单来说，昨天那个接口跑了五百次，呃，结果…怎么说呢，其实整体成功率在百分之九十八左右，得在下周二前把这块新逻辑给对齐。", "clean": "简单来说，昨天那个接口跑了500次，结果整体成功率在98%左右，得在下周二前把这块新逻辑给对齐。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“简单来说”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 简单来说"}, {"id": "q002", "category": "content", "question": "output中是否存在“昨天那个接口跑了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 昨天那个接口跑了"}, {"id": "q003", "category": "format", "question": "output中是否将“五百次”规范化成了“500次”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百次”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百次, clean: 500次"}, {"id": "q004", "category": "content", "question": "output中是否存在“结果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 结果"}, {"id": "q005", "category": "content", "question": "output中是否存在“整体成功率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 整体成功率"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之九十八”规范化成了“98%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之九十八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之九十八, clean: 98%"}, {"id": "q007", "category": "content", "question": "output中是否存在“左右”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 左右"}, {"id": "q008", "category": "content", "question": "output中是否存在“得在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得在"}, {"id": "q009", "category": "content", "question": "output中是否存在“下周二前”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下周二前"}, {"id": "q010", "category": "content", "question": "output中是否存在“把这块”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把这块"}, {"id": "q011", "category": "content", "question": "output中是否存在“新逻辑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 新逻辑"}, {"id": "q012", "category": "content", "question": "output中是否存在“给对齐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 给对齐"}, {"id": "q013", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 呃, 怎么说呢, 其实"}]}
{"status": "success", "index": 293, "source_record_id": "recheck.jsonl:517", "source_line": 286, "audio": "audio/meeting__recheckjsonl517.wav", "scene": "meeting", "language": "zh", "oral": "嗯，咱们之前聊过上半年投放转化率才百分之三点五，就是得再增加五万块预算，怎么说呢，不然新项目很难跑通吧。", "clean": "咱们之前聊过上半年投放转化率才3.5%，得再增加50000元预算，不然新项目很难跑通吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“上半年投放转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 咱们之前聊过上半年投放转化率才百分之三点五; clean: 咱们之前聊过上半年投放转化率才3.5%"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之三点五”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之三点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之三点五; clean: 3.5%"}, {"id": "q003", "category": "format", "question": "output中是否将“五万块”规范化成了“50000元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五万块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五万块; clean: 50000元"}, {"id": "q004", "category": "content", "question": "output中是否存在“新项目很难跑通”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 不然新项目很难跑通吧; clean: 不然新项目很难跑通吧"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，...就是...怎么说呢，...; clean: 咱们之前聊过上半年投放转化率才3.5%，得再增加50000元预算，不然新项目很难跑通吧。"}]}
{"status": "success", "index": 294, "source_record_id": "recheck.jsonl:520", "source_line": 288, "audio": "audio/meeting__recheckjsonl520.wav", "scene": "meeting", "language": "zh", "oral": "嗯，与其死磕功能迭代，不如先把转化率提高到百分之十二，啊不对，百分之十五吧，这比再死等新用户更有意义哈。", "clean": "与其死磕功能迭代，不如先把转化率提高到15%，这比再死等新用户更有意义哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“死磕功能迭代”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 与其死磕功能迭代"}, {"id": "q002", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 不如先把转化率提高到"}, {"id": "q003", "category": "content", "question": "output中是否存在“新用户”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这比再死等新用户更有意义哈"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 提高到15% / oral: 提高到百分之十二，啊不对，百分之十五吧"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯...啊不对...吧"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之十二，啊不对，百分之十五”处理成了“15%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十二，啊不对，百分之十五吧 / clean: 15%"}]}
{"status": "success", "index": 295, "source_record_id": "recheck.jsonl:524", "source_line": 290, "audio": "audio/meeting__recheckjsonl524.wav", "scene": "meeting", "language": "zh", "oral": "先是看那个，那那那个DAU，增长了百分之五，不对，百分之八，然后是留存率稍微掉了点，最后整体转化大概百分之十二。", "clean": "先是看DAU增长了8%，然后是留存率稍微掉了点，最后整体转化大概12%。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '那个，那那那个' -> clean: 删除"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“增长了百分之五，不对，百分之八”处理成了“增长了8%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '增长了百分之五，不对，百分之八' -> clean: '增长了8%'"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之八”规范化成了“8%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '百分之八' -> clean: '8%'"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十二”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '百分之十二' -> clean: '12%'"}, {"id": "q005", "category": "content", "question": "output中是否保留了“留存率稍微掉了点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '留存率稍微掉了点' -> clean: '留存率稍微掉了点'"}, {"id": "q006", "category": "content", "question": "output中是否保留了“整体转化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: '整体转化' -> clean: '整体转化'"}, {"id": "q007", "category": "content", "question": "output中是否保留了“DAU”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 'DAU' -> clean: 'DAU'"}]}
{"status": "success", "index": 296, "source_record_id": "recheck.jsonl:522", "source_line": 289, "audio": "audio/meeting__recheckjsonl522.wav", "scene": "meeting", "language": "zh", "oral": "刚才小李说预算得控制在五万，啊不对，是六万。我觉得预算预算得再加一点，怎么说呢，增加十个百分点吧，方案整体方案整体才稳妥哈。", "clean": "刚才小李说预算得控制在6万。我觉得预算得再加一点，增加10%吧，整体方案才稳妥哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“五万，啊不对，是六万”处理成了“6万”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"五万，啊不对，是六万\", clean: \"6万\""}, {"id": "q002", "category": "format", "question": "output中是否将“六万”规范化成了“6万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"六万\", clean: \"6万\""}, {"id": "q003", "category": "format", "question": "output中是否将“十个百分点”规范化成了“10%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十个百分点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"十个百分点\", clean: \"10%\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"预算预算\", \"怎么说呢\", \"方案整体方案整体\""}, {"id": "q005", "category": "content", "question": "output中是否存在“刚才小李说预算得控制在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"刚才小李说预算得控制在\""}, {"id": "q006", "category": "content", "question": "output中是否存在“我觉得预算得再加一点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"我觉得预算得再加一点\""}, {"id": "q007", "category": "content", "question": "output中是否存在“整体方案才稳妥”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"整体方案才稳妥哈\""}]}
{"status": "success", "index": 297, "source_record_id": "recheck.jsonl:530", "source_line": 292, "audio": "audio/meeting__recheckjsonl530.wav", "scene": "meeting", "language": "zh", "oral": "嗯，老大之前说咱们组现在只有五个人，哦不是，应该是六个。怎么说呢，我我我觉得这规模其实挺挺合适的，就是能保证效率吧。", "clean": "老大之前说咱们组现在应该是6个人。我觉得这规模其实挺合适的，能保证效率吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，哦不是，怎么说呢，我我我，挺挺"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“只有五个人，哦不是，应该是六个”处理成了“应该是6个人”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "只有五个人，哦不是，应该是六个 -> 应该是6个人"}, {"id": "q003", "category": "format", "question": "output中是否将“六个”规范化成了“6”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "应该是六个 -> 应该是6个人"}, {"id": "q004", "category": "content", "question": "output中是否存在“老大之前说咱们组现在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "老大之前说咱们组现在"}, {"id": "q005", "category": "content", "question": "output中是否存在“觉得这规模其实挺合适的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我觉得这规模其实挺合适的"}, {"id": "q006", "category": "content", "question": "output中是否存在“能保证效率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "能保证效率吧"}]}
{"status": "success", "index": 298, "source_record_id": "recheck.jsonl:532", "source_line": 294, "audio": "audio/meeting__recheckjsonl532.wav", "scene": "meeting", "language": "zh", "oral": "下个月市场波动挺大，咱们那个目标…嗯…怎么说呢…得定在五十万，不对，六十万，等等错了，是八十万！", "clean": "下个月市场波动挺大，咱们目标得定在80万！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“下个月市场波动挺大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下个月市场波动挺大"}, {"id": "q002", "category": "content", "question": "output中是否保留了“咱们目标得定在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们目标得定在"}, {"id": "q003", "category": "format", "question": "output中是否将“八十万”规范化成了“80万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八十万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 八十万, clean: 80万"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: …嗯…怎么说呢…"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“五十万，不对，六十万，等等错了，是八十万”处理成了“80万”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 五十万，不对，六十万，等等错了，是八十万, clean: 80万"}]}
{"status": "success", "index": 300, "source_record_id": "recheck.jsonl:539", "source_line": 297, "audio": "audio/meeting__recheckjsonl539.wav", "scene": "meeting", "language": "zh", "oral": "嗯，我看方案里预算写了三万块，啊不对，是五万块，就是成本有点高吧，你觉得呢？", "clean": "我看方案里预算写了5万元，成本有点高吧，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“方案里预算”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我看方案里预算写了5万元"}, {"id": "q002", "category": "content", "question": "output中是否存在“成本有点高”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 成本有点高吧"}, {"id": "q003", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得呢？"}, {"id": "q004", "category": "format", "question": "output中是否将“五万块”规范化成了“5万元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五万块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 是五万块; clean: 5万元"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，啊不对，就是"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“三万块，啊不对，是五万块”处理成了“五万块”或“5万元”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三万块，啊不对，是五万块; clean: 5万元"}]}
{"status": "success", "index": 299, "source_record_id": "recheck.jsonl:531", "source_line": 293, "audio": "audio/meeting__recheckjsonl531.wav", "scene": "meeting", "language": "zh", "oral": "那个，你可能觉得，得先写完文档才，嗯，不是那样，其实是先出个 Demo，大概，得，三五个版本，迭代出来再写。", "clean": "你可能觉得得先写完文档，其实是先出个Demo，大概得3-5个版本迭代出来再写。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '那个，...才，嗯，...大概，得，'"}, {"id": "q002", "category": "format", "question": "output中是否将“三五个”规范化成了“3-5个”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三五个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '三五个版本', clean: '3-5个版本'"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“得先写完文档才，嗯，不是那样”处理成了“得先写完文档”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '得先写完文档才，嗯，不是那样', clean: '得先写完文档'"}, {"id": "q004", "category": "content", "question": "output中是否存在“先出个Demo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '先出个Demo'"}, {"id": "q005", "category": "content", "question": "output中是否存在“迭代出来再写”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '迭代出来再写'"}]}
{"status": "success", "index": 301, "source_record_id": "recheck.jsonl:540", "source_line": 298, "audio": "audio/meeting__recheckjsonl540.wav", "scene": "meeting", "language": "zh", "oral": "如果咱们能把转化率转化率提高到百分之五，提高到百分之五，那我们在下个季度下个季度得能多赚三百万，到那个时候再考虑扩充团队。", "clean": "如果咱们能把转化率提高到5%，那我们在下个季度得能多赚300万元，到那个时候再考虑扩充团队。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 转化率; oral: 转化率"}, {"id": "q002", "category": "content", "question": "output中是否存在“下个季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下个季度; oral: 下个季度"}, {"id": "q003", "category": "content", "question": "output中是否存在“多赚”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 多赚; oral: 多赚"}, {"id": "q004", "category": "content", "question": "output中是否存在“扩充团队”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 扩充团队; oral: 扩充团队"}, {"id": "q005", "category": "format", "question": "output中是否将“百分之五”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 5%; oral: 百分之五"}, {"id": "q006", "category": "format", "question": "output中是否将“三百万”规范化成了“300万元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三百万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 300万元; oral: 三百万"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 转化率转化率; 提高到百分之五，提高到百分之五; 下个季度下个季度"}]}
{"status": "success", "index": 305, "source_record_id": "recheck.jsonl:533", "source_line": 295, "audio": "audio/meeting__recheckjsonl533.wav", "scene": "meeting", "language": "zh", "oral": "其实这事不是单纯 链路问题，嗯，其实是，怎么说呢，核心在于那个接口权限，大概有百分之十二…不对，百分之十八 接口没对齐，导致整体风控延迟了。", "clean": "其实这事不是单纯链路问题，核心在于接口权限，大概有18%接口没对齐，导致整体风控延迟了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“单纯链路问题”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 其实这事不是单纯链路问题"}, {"id": "q002", "category": "content", "question": "output中是否存在“核心在于接口权限”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 核心在于接口权限"}, {"id": "q003", "category": "content", "question": "output中是否存在“接口没对齐”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 大概有18%接口没对齐"}, {"id": "q004", "category": "content", "question": "output中是否存在“导致整体风控延迟了”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 导致整体风控延迟了"}, {"id": "q005", "category": "format", "question": "output中是否将“百分之十八”规范化成了“18%”？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“百分之十八”(0)", "不存在这个词或规范化结果(-1)"], "evidence": "oral: 百分之十八, clean: 18%"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: 嗯，其实是，怎么说呢，那个"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“百分之十二…不对，百分之十八”处理成了“18%”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 大概有百分之十二…不对，百分之十八, clean: 大概有18%"}]}
{"status": "success", "index": 303, "source_record_id": "recheck.jsonl:529", "source_line": 291, "audio": "audio/meeting__recheckjsonl529.wav", "scene": "meeting", "language": "zh", "oral": "嗯，大家可能觉得这次转化率掉是因为投放渠道问题，其实不是，怎么说呢，主要还是产品端某个 Bug 导致，我看数据是百分之十二点五，啊不对，是百分之八点二，这个波动导致我们整体 KPI 没达标吧。", "clean": "大家可能觉得这次转化率掉是因为投放渠道问题，其实不是，主要还是产品端某个 Bug 导致，我看数据是 8.2%，这个波动导致我们整体 KPI 没达标吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 怎么说呢, 啊不对; clean: 无"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“百分之十二点五，啊不对，是百分之八点二”处理成了最终的数据结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我看数据是百分之十二点五，啊不对，是百分之八点二; clean: 我看数据是 8.2%"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之八点二”规范化成了“8.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八点二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之八点二; clean: 8.2%"}, {"id": "q004", "category": "content", "question": "output中是否保留了“转化率掉”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 转化率掉"}, {"id": "q005", "category": "content", "question": "output中是否保留了“投放渠道问题”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 投放渠道问题"}, {"id": "q006", "category": "content", "question": "output中是否保留了“产品端某个 Bug”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 产品端某个 Bug"}, {"id": "q007", "category": "content", "question": "output中是否保留了“整体 KPI 没达标”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 整体 KPI 没达标"}]}
{"status": "success", "index": 304, "source_record_id": "recheck.jsonl:542", "source_line": 299, "audio": "audio/meeting__recheckjsonl542.wav", "scene": "meeting", "language": "zh", "oral": "说白了，嗯，我们组现在就是主攻主攻那个底层架构，怎么说呢，目前大概有十二个人，十二个人在做，整体节奏挺快吧，再之后我们会往新方向走哈。", "clean": "说白了，我们组现在主攻底层架构，目前大概有12个人在做，整体节奏挺快吧，之后我们会往新方向走哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 主攻主攻, 十二个人，十二个人"}, {"id": "q002", "category": "format", "question": "output中是否将“十二个人”规范化成了“12个人”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十二个人”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "十二个人 -> 12个人"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“再之后”处理成了“之后”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "再之后 -> 之后"}, {"id": "q004", "category": "content", "question": "output中是否存在“底层架构”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "底层架构"}, {"id": "q005", "category": "content", "question": "output中是否存在“整体节奏挺快”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "整体节奏挺快吧"}, {"id": "q006", "category": "content", "question": "output中是否存在“往新方向走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "往新方向走哈"}]}
{"status": "success", "index": 306, "source_record_id": "recheck.jsonl:543", "source_line": 300, "audio": "audio/meeting__recheckjsonl543.wav", "scene": "meeting", "language": "zh", "oral": "我想想啊，如果今年我们能把那个转化率提升到百分之十二，啊不对，是百分之十五吧，那我们明年大概能，怎么说呢，争取把整体GMV拉高到五千万左右哈。", "clean": "如果今年我们能把转化率提升到15%，那我们明年大概能争取把整体GMV拉高到5000万左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想想啊, 那个, 怎么说呢, 哈"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“百分之十二，啊不对，是百分之十五吧”处理成了“15%”或“百分之十五”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "百分之十二，啊不对，是百分之十五吧 -> 15%"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之十五 -> 15%"}, {"id": "q004", "category": "format", "question": "output中是否将“五千万”规范化成了“5000万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五千万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五千万 -> 5000万"}, {"id": "q005", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "转化率"}, {"id": "q006", "category": "content", "question": "output中是否存在“整体GMV”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "整体GMV"}, {"id": "q007", "category": "content", "question": "output中是否存在“拉高”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "拉高"}, {"id": "q008", "category": "content", "question": "output中是否存在“争取”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "争取"}]}
{"status": "success", "index": 307, "source_record_id": "recheck.jsonl:550", "source_line": 303, "audio": "audio/meeting__recheckjsonl550.wav", "scene": "meeting", "language": "zh", "oral": "结论百分之十，啊不对，百分之十二，主要因为咱们那个新渠道转化率涨快了。", "clean": "结论12%，主要因为咱们新渠道转化率涨快了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“百分之十，啊不对，百分之十二”处理成了“百分之十二”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十，啊不对，百分之十二; clean: 12%"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之十二”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十二; clean: 12%"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 咱们那个新渠道; clean: 咱们新渠道"}, {"id": "q004", "category": "content", "question": "output中是否存在“新渠道转化率涨快了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 新渠道转化率涨快了"}, {"id": "q005", "category": "content", "question": "output中是否存在“结论”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 结论"}]}
{"status": "success", "index": 308, "source_record_id": "recheck.jsonl:546", "source_line": 301, "audio": "audio/meeting__recheckjsonl546.wav", "scene": "meeting", "language": "zh", "oral": "哦对了，那个，截止日期...应该是，呃，下周三，不对，二零二四年十月十八号，大家记得，那个，及时把PPT，上传到Drive，千万别...忘了。", "clean": "截止日期应该是2024年10月18日，大家记得及时把PPT上传到Drive，千万别忘了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中的“哦对了”、“那个”、“呃”、“...”等口语词和犹豫词"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“下周三，不对，二零二四年十月十八号”处理成了“2024年10月18日”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: “下周三，不对，二零二四年十月十八号”；clean: “2024年10月18日”"}, {"id": "q003", "category": "format", "question": "output中是否将“二零二四年十月十八号”规范化成了“2024年10月18日”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二四年十月十八号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: “二零二四年十月十八号”；clean: “2024年10月18日”"}, {"id": "q004", "category": "content", "question": "output中是否保留了“截止日期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “截止日期”"}, {"id": "q005", "category": "content", "question": "output中是否保留了“及时把PPT上传到Drive”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “及时把PPT上传到Drive”"}, {"id": "q006", "category": "content", "question": "output中是否保留了“千万别忘了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “千万别忘了”"}]}
{"status": "success", "index": 310, "source_record_id": "recheck.jsonl:554", "source_line": 305, "audio": "audio/meeting__recheckjsonl554.wav", "scene": "meeting", "language": "zh", "oral": "哦对了，嗯，这次转化率转化率得达到百分之十五，怎么说呢，这个指标指标得在二零二五年三月前完成吧。", "clean": "这次转化率得达到15%，这个指标得在2025年3月前完成吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这次转化率得达到15% | oral: 这次转化率转化率得达到百分之十五"}, {"id": "q002", "category": "content", "question": "output中是否存在“指标”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个指标得在2025年3月前完成吧 | oral: 这个指标指标得在二零二五年三月前完成吧"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在“15%”或“百分之十五”", "score": -1}], "evidence": "clean: 15% | oral: 百分之十五"}, {"id": "q004", "category": "format", "question": "output中是否将“二零二五年三月”规范化成了“2025年3月”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二五年三月”", "score": 0}, {"text": "不存在“2025年3月”或“二零二五年三月”", "score": -1}], "evidence": "clean: 2025年3月 | oral: 二零二五年三月"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了，嗯 / 怎么说呢 / 转化率转化率 / 指标指标"}]}
{"status": "success", "index": 309, "source_record_id": "recheck.jsonl:549", "source_line": 302, "audio": "audio/meeting__recheckjsonl549.wav", "scene": "meeting", "language": "zh", "oral": "刚才王总提到提到市场饱和，我觉得我觉得这个观点不对，目前份额只有百分之十二，啊不对，百分之十五，还得再深挖深挖，才能到目标点。", "clean": "刚才王总提到市场饱和，我觉得这个观点不对，目前份额只有15%，还得再深挖，才能到目标点。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“王总”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 刚才王总提到市场饱和"}, {"id": "q002", "category": "content", "question": "output中是否存在“市场饱和”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 市场饱和"}, {"id": "q003", "category": "content", "question": "output中是否存在“观点不对”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个观点不对"}, {"id": "q004", "category": "content", "question": "output中是否存在“深挖”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 还得再深挖"}, {"id": "q005", "category": "content", "question": "output中是否存在“目标点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 才能到目标点"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五 / clean: 15%"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 提到提到 / 我觉得我觉得 / 啊不对 / 深挖深挖"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“百分之十二，啊不对，百分之十五”处理成了“15%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十二，啊不对，百分之十五 / clean: 15%"}]}
{"status": "success", "index": 311, "source_record_id": "recheck.jsonl:553", "source_line": 304, "audio": "audio/meeting__recheckjsonl553.wav", "scene": "meeting", "language": "zh", "oral": "咱们这次转化率转化率到了百分之十二，啊不对，百分之十四，这个增长增长势头挺好。", "clean": "咱们这次转化率到了14%，增长势头挺好。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们这次转化率到了14%，增长势头挺好。 / oral: 咱们这次转化率转化率到了..."}, {"id": "q002", "category": "content", "question": "output中是否存在“增长势头”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们这次转化率到了14%，增长势头挺好。 / oral: ...这个增长增长势头挺好。"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之十四”规范化成了“14%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十四”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 14% / oral: 百分之十四"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 转化率转化率 / 增长增长 / 啊不对"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“百分之十二，啊不对，百分之十四”处理成了“14%”或“百分之十四”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十二，啊不对，百分之十四 / clean: 14%"}]}
{"status": "success", "index": 314, "source_record_id": "recheck.jsonl:563", "source_line": 310, "audio": "audio/meeting__recheckjsonl563.wav", "scene": "meeting", "language": "zh", "oral": "嗯，不是说项目延期，其实其实是进度调整，怎么说呢，原定百分之八十，我想想，其实是达到了百分之九十五，吧。", "clean": "不是说项目延期，其实是进度调整，原定80%，其实是达到了95%。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“项目延期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 不是说项目延期"}, {"id": "q002", "category": "content", "question": "output中是否存在“进度调整”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 其实是进度调整"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之八十”规范化成了“80%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 原定80%"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之九十五”规范化成了“95%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之九十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 其实是达到了95%"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，其实其实，怎么说呢，我想想，吧"}]}
{"status": "success", "index": 312, "source_record_id": "recheck.jsonl:557", "source_line": 306, "audio": "audio/meeting__recheckjsonl557.wav", "scene": "meeting", "language": "zh", "oral": "哦对了，嗯，交付进度目前在百分之八十，啊不，百分之八十五，就是，我们那个...怎么说呢...整体跑通了，在验收阶段哈。", "clean": "交付进度目前在85%，整体跑通了，在验收阶段。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“交付进度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "交付进度"}, {"id": "q002", "category": "content", "question": "output中是否存在“整体跑通了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "整体跑通了"}, {"id": "q003", "category": "content", "question": "output中是否存在“在验收阶段”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在验收阶段"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之八十五”规范化成了“85%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八十五”", "score": 0}, {"text": "不存在“百分之八十五”或没有输出“85%”", "score": -1}], "evidence": "百分之八十五 -> 85%"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哦对了，嗯，就是，我们那个，怎么说呢，哈"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之八十，啊不，百分之八十五”处理成了“85%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "百分之八十，啊不，百分之八十五 -> 85%"}]}
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{"status": "success", "index": 318, "source_record_id": "recheck.jsonl:566", "source_line": 313, "audio": "audio/meeting__recheckjsonl566.wav", "scene": "meeting", "language": "zh", "oral": "嗯，咱们组平时同步进度就是，每周一上午十点，啊不对，是十点半开周会，然后...那个流程应该是...怎么说呢，大家把文档填好传到共享盘吧，你觉得这样操作行吗呀？", "clean": "咱们组平时同步进度，每周一10:30开周会，流程应该是大家把文档填好传到共享盘吧，你觉得这样操作行吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“同步进度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们组平时同步进度 / oral: 咱们组平时同步进度就是"}, {"id": "q002", "category": "content", "question": "output中是否保留了“开周会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 开周会 / oral: 开周会"}, {"id": "q003", "category": "content", "question": "output中是否保留了“把文档填好传到共享盘”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 大家把文档填好传到共享盘吧 / oral: 大家把文档填好传到共享盘吧"}, {"id": "q004", "category": "content", "question": "output中是否保留了“这样操作行吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得这样操作行吗 / oral: 你觉得这样操作行吗呀"}, {"id": "q005", "category": "format", "question": "output中是否将“十点半”规范化成了“10:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 10:30 / oral: 十点半"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯、就是、啊不对、然后、那个、怎么说呢、呀"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“十点，啊不对，是十点半”处理成了“十点半”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 十点，啊不对，是十点半 / clean: 10:30"}]}
{"status": "success", "index": 321, "source_record_id": "recheck.jsonl:577", "source_line": 315, "audio": "audio/meeting__recheckjsonl577.wav", "scene": "meeting", "language": "zh", "oral": "我想想啊，与其盯着百分之三点五这个转化率，不如看活跃用户比上个月增长了五百一十二个，这更关键吧。", "clean": "与其盯着3.5%这个转化率，不如看活跃用户比上个月增长了512个，这更关键吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想想啊，"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之三点五”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之三点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之三点五, clean: 3.5%"}, {"id": "q003", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百一十二, clean: 512"}, {"id": "q004", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 转化率"}, {"id": "q005", "category": "content", "question": "output中是否存在“活跃用户”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 活跃用户"}, {"id": "q006", "category": "content", "question": "output中是否存在“比上个月增长”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 比上个月增长"}]}
{"status": "success", "index": 320, "source_record_id": "recheck.jsonl:580", "source_line": 317, "audio": "audio/meeting__recheckjsonl580.wav", "scene": "meeting", "language": "zh", "oral": "嗯，目前ROI大概…就是…百分之十五吧，诶，你觉得呢哈？", "clean": "目前ROI大概15%，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“目前”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 目前 / oral: 目前"}, {"id": "q002", "category": "content", "question": "output中是否存在“ROI”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ROI / oral: ROI"}, {"id": "q003", "category": "content", "question": "output中是否存在“大概”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 大概 / oral: 大概"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 15% / oral: 百分之十五"}, {"id": "q005", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得呢 / oral: 你觉得呢哈"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 就是, 吧, 诶, 哈"}]}
{"status": "success", "index": 324, "source_record_id": "recheck.jsonl:591", "source_line": 322, "audio": "audio/meeting__recheckjsonl591.wav", "scene": "meeting", "language": "zh", "oral": "与其投广告投广告，不如投人投人，预算得三万，不对，五万。", "clean": "与其投广告，不如投人，预算得5万。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“投广告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 与其投广告投广告; clean: 与其投广告"}, {"id": "q002", "category": "content", "question": "output中是否存在“投人”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 不如投人投人; clean: 不如投人"}, {"id": "q003", "category": "format", "question": "output中是否将“五万”规范化成了“5万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 预算得三万，不对，五万; clean: 预算得5万"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 投广告投广告，不如投人投人; clean: 投广告，不如投人"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“预算得三万，不对，五万”处理成了“预算得5万”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 预算得三万，不对，五万; clean: 预算得5万"}]}
{"status": "success", "index": 323, "source_record_id": "recheck.jsonl:573", "source_line": 314, "audio": "audio/meeting__recheckjsonl573.wav", "scene": "meeting", "language": "zh", "oral": "先是把那个API接通，然后…其实应该是先调接口，最后再把这三个页面上线，估计得花五天，得赶紧弄完。", "clean": "先调接口，最后把这三个页面上线，估计得花5天，得赶紧弄完。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“先是把那个API接通，然后…其实应该是先调接口”处理成了“先调接口”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 先是把那个API接通，然后…其实应该是先调接口 -> clean: 先调接口"}, {"id": "q002", "category": "format", "question": "output中是否将“五天”规范化成了“5天”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五天”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: 五天 -> clean: 5天"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个、再 -> clean: 删除了这些口语词"}, {"id": "q004", "category": "content", "question": "output中是否存在“这三个页面上线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最后把这三个页面上线"}, {"id": "q005", "category": "content", "question": "output中是否存在“赶紧弄完”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得赶紧弄完"}]}
{"status": "success", "index": 322, "source_record_id": "recheck.jsonl:582", "source_line": 318, "audio": "audio/meeting__recheckjsonl582.wav", "scene": "meeting", "language": "zh", "oral": "这个季度增长率大概百分之十二，额，其实说得更准点，也就是百分之十二点三，基本达标。", "clean": "这个季度增长率大概12%，其实说得更准点，也就是12.3%，基本达标。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“这个季度增长率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这个季度增长率"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之十二”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之十二 -> 12%"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之十二点三”规范化成了“12.3%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十二点三”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之十二点三 -> 12.3%"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "额"}, {"id": "q005", "category": "content", "question": "output中是否存在“大概”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "大概"}, {"id": "q006", "category": "content", "question": "output中是否存在“其实说得更准点，也就是”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "其实说得更准点，也就是"}, {"id": "q007", "category": "content", "question": "output中是否存在“基本达标”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "基本达标"}]}
{"status": "success", "index": 326, "source_record_id": "recheck.jsonl:585", "source_line": 319, "audio": "audio/meeting__recheckjsonl585.wav", "scene": "meeting", "language": "zh", "oral": "老王，我想想啊，咱们这次用三台服务器，哦不是，五台，得保证在高峰期能扛住。", "clean": "老王，咱们这次用5台服务器，得保证在高峰期能扛住。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“老王”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 老王"}, {"id": "q002", "category": "content", "question": "output中是否存在“服务器”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 服务器"}, {"id": "q003", "category": "content", "question": "output中是否存在“高峰期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 高峰期"}, {"id": "q004", "category": "content", "question": "output中是否存在“扛住”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 扛住"}, {"id": "q005", "category": "format", "question": "output中是否将“五台”规范化成了“5台”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五台”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五台, clean: 5台"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想想啊, 哦不是"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“三台服务器，哦不是，五台”处理成了“5台服务器”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三台服务器，哦不是，五台, clean: 5台服务器"}]}
{"status": "success", "index": 327, "source_record_id": "recheck.jsonl:586", "source_line": 320, "audio": "audio/meeting__recheckjsonl586.wav", "scene": "meeting", "language": "zh", "oral": "诶，去年KPI达成率百分之八十，哦不是，百分之九十二，嗯，这个进度…我想想啊…其实进度比预期快，就是挺稳吧？", "clean": "去年KPI达成率92%，进度比预期快，挺稳吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“去年KPI达成率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "去年KPI达成率"}, {"id": "q002", "category": "content", "question": "output中是否保留了“进度比预期快”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "进度比预期快"}, {"id": "q003", "category": "content", "question": "output中是否保留了“挺稳吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "挺稳吧"}, {"id": "q004", "category": "format", "question": "output中是否将“百分之九十二”规范化成了“92%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之九十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之九十二, clean: 92%"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，哦不是，嗯，我想想啊，其实，就是"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之八十，哦不是，百分之九十二”处理成了“92%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之八十，哦不是，百分之九十二, clean: 92%"}]}
{"status": "success", "index": 328, "source_record_id": "recheck.jsonl:592", "source_line": 323, "audio": "audio/meeting__recheckjsonl592.wav", "scene": "meeting", "language": "zh", "oral": "其实不是说进度慢，嗯，是那个…风险点在…其实是逻辑漏洞，可能导致百分之五得损耗，得再关注下。", "clean": "其实不是说进度慢，是风险点在逻辑漏洞，可能导致5%的损耗，得再关注下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，是那个…其实是"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“风险点在…其实是逻辑漏洞”处理成了“风险点在逻辑漏洞”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 风险点在…其实是逻辑漏洞 -> clean: 风险点在逻辑漏洞"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之五”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之五 -> clean: 5%"}, {"id": "q004", "category": "content", "question": "output中是否存在“进度慢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 进度慢"}, {"id": "q005", "category": "content", "question": "output中是否存在“逻辑漏洞”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 逻辑漏洞"}, {"id": "q006", "category": "content", "question": "output中是否存在“损耗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 损耗"}, {"id": "q007", "category": "content", "question": "output中是否存在“再关注下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再关注下"}]}
{"status": "success", "index": 325, "source_record_id": "recheck.jsonl:578", "source_line": 316, "audio": "audio/meeting__recheckjsonl578.wav", "scene": "meeting", "language": "zh", "oral": "嗯，之前看市场规模，市场规模大概有三千万，啊不对，是五千万，怎么说呢，我想想啊，其实核心核心在于这个 ROI 能够快速跑通吧。", "clean": "之前看市场规模大概有5000万，其实核心在于这个ROI能够快速跑通吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“市场规模”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 之前看市场规模大概有5000万"}, {"id": "q002", "category": "format", "question": "output中是否将“五千万”规范化成了“5000万”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五千万”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 是五千万 | clean: 5000万"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“三千万，啊不对，是五千万”处理成了“5000万”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三千万，啊不对，是五千万 | clean: 5000万"}, {"id": "q004", "category": "content", "question": "output中是否存在“ROI”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个ROI能够快速跑通吧"}, {"id": "q005", "category": "content", "question": "output中是否存在“快速跑通”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 能够快速跑通吧"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，啊不对，怎么说呢，我想想啊，核心核心"}, {"id": "q007", "category": "content", "question": "output中是否存在“之前看”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 之前看市场规模"}, {"id": "q008", "category": "content", "question": "output中是否存在“大概有”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 大概有5000万"}]}
{"status": "success", "index": 329, "source_record_id": "recheck.jsonl:588", "source_line": 321, "audio": "audio/meeting__recheckjsonl588.wav", "scene": "meeting", "language": "zh", "oral": "诶，其实留存率不是在下降，怎么说呢，整体趋势是在回升。我想想啊，上周大概百分之十二，不对，百分之十五，回升回升了百分之十五吧。", "clean": "其实留存率不是在下降，整体趋势是在回升。上周大概回升了15%吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“留存率不是在下降”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"其实留存率不是在下降\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“整体趋势是在回升”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"整体趋势是在回升\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“上周”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"上周大概回升了15%吧\""}, {"id": "q004", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"百分之十五\", clean: \"15%\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"诶\", \"怎么说呢\", \"我想想啊\", \"回升回升\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“百分之十二，不对，百分之十五”处理成了“15%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"百分之十二，不对，百分之十五\", clean: \"15%\""}]}
{"status": "success", "index": 332, "source_record_id": "recheck.jsonl:597", "source_line": 327, "audio": "audio/meeting__recheckjsonl597.wav", "scene": "meeting", "language": "zh", "oral": "嗯，与其死磕这百分之五，就是，比追求量，得更看重客单价吧。", "clean": "与其死磕这5%，比追求量，得更看重客单价吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在\"死磕\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"与其死磕这5%\""}, {"id": "q002", "category": "format", "question": "output中是否将\"百分之五\"规范化成了\"5%\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"百分之五\"", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: \"百分之五\" -> clean: \"5%\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\"、\"就是\"为口语词/犹豫词"}, {"id": "q004", "category": "content", "question": "output中是否存在\"追求量\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"比追求量\""}, {"id": "q005", "category": "content", "question": "output中是否存在\"更看重客单价\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"得更看重客单价吧\""}]}
{"status": "success", "index": 330, "source_record_id": "recheck.jsonl:594", "source_line": 324, "audio": "audio/meeting__recheckjsonl594.wav", "scene": "meeting", "language": "zh", "oral": "哦对了，那个合规风险点，大概有百分之三点五，得在二零二四年十二月一号前搞定，这个新规定...呃，得赶紧再确认一下，对，是对的。", "clean": "合规风险点大概有3.5%，得在2024年12月1日前搞定，这个新规定得赶紧再确认一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“合规风险点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 合规风险点"}, {"id": "q002", "category": "content", "question": "output中是否存在“大概”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 大概"}, {"id": "q003", "category": "content", "question": "output中是否存在“搞定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 搞定"}, {"id": "q004", "category": "content", "question": "output中是否存在“新规定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 新规定"}, {"id": "q005", "category": "content", "question": "output中是否存在“确认”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 确认"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之三点五”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之三点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之三点五, clean: 3.5%"}, {"id": "q007", "category": "format", "question": "output中是否将“二零二四年十二月一号”规范化成了“2024年12月1日”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二四年十二月一号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 二零二四年十二月一号, clean: 2024年12月1日"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了, 那个, 呃, 对，是对的"}]}
{"status": "success", "index": 331, "source_record_id": "recheck.jsonl:595", "source_line": 325, "audio": "audio/meeting__recheckjsonl595.wav", "scene": "meeting", "language": "zh", "oral": "嗯，刚才老王说用 Redis 缓存，就是我觉得响应时间得压到两百毫秒，哦不是，应该是五十毫秒，怎么说呢，这样用户体验才稳吧。", "clean": "刚才老王说用 Redis 缓存，我觉得响应时间得压到 50 毫秒，这样用户体验才稳吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“老王”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 刚才老王说用 Redis 缓存"}, {"id": "q002", "category": "content", "question": "output中是否存在“缓存”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 刚才老王说用 Redis 缓存"}, {"id": "q003", "category": "content", "question": "output中是否存在“响应时间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我觉得响应时间得压到 50 毫秒"}, {"id": "q004", "category": "content", "question": "output中是否存在“用户体验”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这样用户体验才稳吧"}, {"id": "q005", "category": "format", "question": "output中是否将“redis”或类似发音规范化成了“Redis”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“redis”或类似发音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: Redis"}, {"id": "q006", "category": "format", "question": "output中是否将“五十毫秒”规范化成了“50毫秒”或“50 毫秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五十毫秒”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: 50 毫秒"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，就是，怎么说呢"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“两百毫秒，哦不是，应该是五十毫秒”处理成了“50毫秒”或“50 毫秒”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 两百毫秒，哦不是，应该是五十毫秒; clean: 50 毫秒"}]}
{"status": "success", "index": 333, "source_record_id": "recheck.jsonl:598", "source_line": 328, "audio": "audio/meeting__recheckjsonl598.wav", "scene": "meeting", "language": "zh", "oral": "老王，那个需求文档需求文档得赶紧出，周五周五下午三点半之前得交，不然进度进度会卡住。", "clean": "老王，需求文档得赶紧出，周五15:30之前得交，不然进度会卡住。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“需求文档”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 需求文档; oral: 需求文档需求文档"}, {"id": "q002", "category": "content", "question": "output中是否存在“赶紧出”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 赶紧出; oral: 赶紧出"}, {"id": "q003", "category": "content", "question": "output中是否存在“进度会卡住”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 进度会卡住; oral: 进度进度会卡住"}, {"id": "q004", "category": "format", "question": "output中是否将“下午三点半”规范化成了“15:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午三点半”", "score": 0}, {"text": "不存在“下午三点半”或“15:30”", "score": -1}], "evidence": "clean: 15:30; oral: 下午三点半"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 需求文档需求文档, 周五周五, 进度进度"}]}
{"status": "success", "index": 334, "source_record_id": "recheck.jsonl:596", "source_line": 326, "audio": "audio/meeting__recheckjsonl596.wav", "scene": "meeting", "language": "zh", "oral": "咱们人力成本预计增加百分之十，啊不对，百分之十五，人力成本得覆盖。那个招聘渠道，对了，能不能给咱们额外拨两万块", "clean": "咱们人力成本预计增加15%，人力成本得覆盖。招聘渠道能不能给咱们额外拨20000元", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“百分之十，啊不对，百分之十五”处理成了“15%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十，啊不对，百分之十五 -> clean: 15%"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之十五”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之十五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之十五 -> clean: 15%"}, {"id": "q003", "category": "format", "question": "output中是否将“两万块”规范化成了“20000元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两万块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 两万块 -> clean: 20000元"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 对了"}, {"id": "q005", "category": "content", "question": "output中是否存在“咱们人力成本预计增加”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 咱们人力成本预计增加"}, {"id": "q006", "category": "content", "question": "output中是否存在“人力成本得覆盖”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 人力成本得覆盖"}, {"id": "q007", "category": "content", "question": "output中是否存在“招聘渠道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 招聘渠道"}, {"id": "q008", "category": "content", "question": "output中是否存在“能不能给咱们额外拨”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 能不能给咱们额外拨"}]}
{"status": "success", "index": 335, "source_record_id": "recheck.jsonl:600", "source_line": 329, "audio": "audio/meeting__recheckjsonl600.wav", "scene": "meeting", "language": "zh", "oral": "嗯，如果这波流量能维持在两千五百左右，两千五百的话，那咱们转化率哈，估计能到百分之五，百分之五吧。", "clean": "如果这波流量能维持在2500左右，那咱们转化率估计能到5%。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 哈, 吧, 两千五百...两千五百, 百分之五...百分之五"}, {"id": "q002", "category": "format", "question": "output中是否将“两千五百”规范化成了“2500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两千五百”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 2500, oral: 两千五百"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之五”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 5%, oral: 百分之五"}, {"id": "q004", "category": "content", "question": "output中是否存在“流量维持”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 流量能维持"}, {"id": "q005", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 转化率"}, {"id": "q006", "category": "content", "question": "output中是否存在“估计”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 估计"}]}
{"status": "success", "index": 336, "source_record_id": "recheck.jsonl:604", "source_line": 332, "audio": "audio/passthrough__recheckjsonl604.wav", "scene": "passthrough", "language": "zh", "oral": "关于这篇论文的第三章，我认为在讨论 Transformer 模型时，应该更详细地分析自注意力机制的计算开销。", "clean": "关于这篇论文的第三章，我认为在讨论 Transformer 模型时，应该更详细地分析自注意力机制的计算开销。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“第三章”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "第三章"}, {"id": "q002", "category": "format", "question": "output中是否保留了“Transformer”的正确大小写格式？", "options": [{"text": "保留了正确的大小写“Transformer”", "score": 1}, {"text": "存在该词但大小写错误（如“transformer”）", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Transformer"}, {"id": "q003", "category": "content", "question": "output中是否保留了“自注意力机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "自注意力机制"}, {"id": "q004", "category": "content", "question": "output中是否保留了“计算开销”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "计算开销"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "关于这篇论文的第三章，我认为在讨论 Transformer 模型时，应该更详细地分析自注意力机制的计算开销。"}]}
{"status": "success", "index": 338, "source_record_id": "recheck.jsonl:603", "source_line": 331, "audio": "audio/passthrough__recheckjsonl603.wav", "scene": "passthrough", "language": "zh", "oral": "关于这篇论文的第三章，我认为在分析对比实验结果时，需要引入更多的消融实验来验证该模块的有效性。", "clean": "关于这篇论文的第三章，我认为在分析对比实验结果时，需要引入更多的消融实验来验证该模块的有效性。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“第三章”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于这篇论文的第三章"}, {"id": "q002", "category": "content", "question": "output中是否存在“对比实验结果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在分析对比实验结果时"}, {"id": "q003", "category": "content", "question": "output中是否存在“消融实验”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "需要引入更多的消融实验"}, {"id": "q004", "category": "content", "question": "output中是否存在“该模块的有效性”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "来验证该模块的有效性"}]}
{"status": "success", "index": 339, "source_record_id": "recheck.jsonl:607", "source_line": 334, "audio": "audio/passthrough__recheckjsonl607.wav", "scene": "passthrough", "language": "zh", "oral": "最近压力有点大，感觉需要找个周末去山里徒步放松一下，你有兴趣一起去吗？", "clean": "最近压力有点大，感觉需要找个周末去山里徒步放松一下，你有兴趣一起去吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“压力有点大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最近压力有点大"}, {"id": "q002", "category": "content", "question": "output中是否存在“周末去山里徒步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 找个周末去山里徒步"}, {"id": "q003", "category": "content", "question": "output中是否存在“放松一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 徒步放松一下"}, {"id": "q004", "category": "content", "question": "output中是否存在“有兴趣一起去吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你有兴趣一起去吗"}]}
{"status": "success", "index": 337, "source_record_id": "recheck.jsonl:605", "source_line": 333, "audio": "audio/passthrough__recheckjsonl605.wav", "scene": "passthrough", "language": "zh", "oral": "关于第三季度市场分析报告，我认为我们需要在用户留存率这一块增加更多的数据对比图表。", "clean": "关于第三季度市场分析报告，我认为我们需要在用户留存率这一块增加更多的数据对比图表。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“第三季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 第三季度"}, {"id": "q002", "category": "content", "question": "output中是否保留了“市场分析报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 市场分析报告"}, {"id": "q003", "category": "content", "question": "output中是否保留了“用户留存率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 用户留存率"}, {"id": "q004", "category": "content", "question": "output中是否保留了“增加更多的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 增加更多的"}, {"id": "q005", "category": "content", "question": "output中是否保留了“数据对比图表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 数据对比图表"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于第三季度市场分析报告，我认为我们需要在用户留存率这一块增加更多的数据对比图表。"}]}
{"status": "success", "index": 340, "source_record_id": "recheck.jsonl:612", "source_line": 337, "audio": "audio/passthrough__recheckjsonl612.wav", "scene": "passthrough", "language": "zh", "oral": "备忘：明天上午 9 点开周会，记得带上上季度的销售数据分析报告。", "clean": "备忘：明天上午 9 点开周会，记得带上上季度的销售数据分析报告。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“备忘”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "备忘"}, {"id": "q002", "category": "content", "question": "output中是否存在“周会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "周会"}, {"id": "q003", "category": "content", "question": "output中是否存在“上季度的销售数据分析报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "上季度的销售数据分析报告"}, {"id": "q004", "category": "format", "question": "output中是否将“9 点”规范化成了“9点”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“9 点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "9 点"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、重复词"}]}
{"status": "success", "index": 342, "source_record_id": "recheck.jsonl:615", "source_line": 340, "audio": "audio/passthrough__recheckjsonl615.wav", "scene": "passthrough", "language": "zh", "oral": "帮我把下午3点在会议室B的周会推迟到4点，并通知所有参会人员。", "clean": "帮我把下午3点在会议室B的周会推迟到4点，并通知所有参会人员。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“周会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "周会"}, {"id": "q002", "category": "content", "question": "output中是否存在“通知所有参会人员”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "通知所有参会人员"}, {"id": "q003", "category": "content", "question": "output中是否存在“推迟”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "推迟"}, {"id": "q004", "category": "format", "question": "output中是否将“会议室B”中的“B”大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“会议室b”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "会议室B"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "帮我把下午3点在会议室B的周会推迟到4点，并通知所有参会人员。"}]}
{"status": "success", "index": 341, "source_record_id": "recheck.jsonl:608", "source_line": 335, "audio": "audio/passthrough__recheckjsonl608.wav", "scene": "passthrough", "language": "zh", "oral": "今天下午 3 点的周会重点讨论 Q3 的预算分配以及新产品的上线计划，请大家提前准备好各自的汇报 PPT。", "clean": "今天下午 3 点的周会重点讨论 Q3 的预算分配以及新产品的上线计划，请大家提前准备好各自的汇报 PPT。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“预算分配”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 预算分配"}, {"id": "q002", "category": "content", "question": "output中是否存在“新产品的上线计划”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 新产品的上线计划"}, {"id": "q003", "category": "content", "question": "output中是否存在“周会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 周会"}, {"id": "q004", "category": "format", "question": "output中是否将“Q3”保留为“Q3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Q3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Q3"}, {"id": "q005", "category": "format", "question": "output中是否将“PPT”保留为“PPT”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“PPT”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: PPT"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 今天下午 3 点的周会重点讨论 Q3 的预算分配以及新产品的上线计划，请大家提前准备好各自的汇报 PPT。"}]}
{"status": "success", "index": 344, "source_record_id": "recheck.jsonl:614", "source_line": 339, "audio": "audio/passthrough__recheckjsonl614.wav", "scene": "passthrough", "language": "zh", "oral": "最近压力有点大，感觉每天都在重复同样的事情，好想找个周末去山里徒步放松一下。", "clean": "最近压力有点大，感觉每天都在重复同样的事情，好想找个周末去山里徒步放松一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“压力有点大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最近压力有点大"}, {"id": "q002", "category": "content", "question": "output中是否存在“重复同样的事情”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "每天都在重复同样的事情"}, {"id": "q003", "category": "content", "question": "output中是否存在“去山里徒步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "去山里徒步"}, {"id": "q004", "category": "content", "question": "output中是否存在“放松一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "放松一下"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "最近压力有点大，感觉每天都在重复同样的事情，好想找个周末去山里徒步放松一下。"}]}
{"status": "success", "index": 343, "source_record_id": "recheck.jsonl:613", "source_line": 338, "audio": "audio/passthrough__recheckjsonl613.wav", "scene": "passthrough", "language": "zh", "oral": "记得明天早上8点提醒我给客户发邮件，附件要加上最新的报价单和产品规格书。", "clean": "记得明天早上8点提醒我给客户发邮件，附件要加上最新的报价单和产品规格书。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“明天早上8点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天早上8点"}, {"id": "q002", "category": "content", "question": "output中是否存在“提醒我给客户发邮件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "提醒我给客户发邮件"}, {"id": "q003", "category": "content", "question": "output中是否存在“附件要加上最新的报价单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "附件要加上最新的报价单"}, {"id": "q004", "category": "content", "question": "output中是否存在“产品规格书”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "产品规格书"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "记得明天早上8点提醒我给客户发邮件，附件要加上最新的报价单和产品规格书。"}]}
{"status": "success", "index": 345, "source_record_id": "recheck.jsonl:616", "source_line": 341, "audio": "audio/passthrough__recheckjsonl616.wav", "scene": "passthrough", "language": "zh", "oral": "我想搜一下2024年最受欢迎的开源深度学习框架对比分析。", "clean": "我想搜一下2024年最受欢迎的开源深度学习框架对比分析。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“开源深度学习框架”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "开源深度学习框架"}, {"id": "q002", "category": "content", "question": "output中是否存在“对比分析”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "对比分析"}, {"id": "q003", "category": "format", "question": "output中是否保留了“2024年”？", "options": [{"text": "保留了“2024年”", "score": 1}, {"text": "保留了“二零二四年”等未规范化的说法", "score": 0}, {"text": "不存在该年份或规范化错误", "score": -1}], "evidence": "2024年"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想搜一下2024年最受欢迎的开源深度学习框架对比分析。"}]}
{"status": "success", "index": 346, "source_record_id": "recheck.jsonl:609", "source_line": 336, "audio": "audio/passthrough__recheckjsonl609.wav", "scene": "passthrough", "language": "zh", "oral": "我想在 2025 年的第三季度完成这个项目的初步调研，重点分析用户留存率和转化率。", "clean": "我想在 2025 年的第三季度完成这个项目的初步调研，重点分析用户留存率和转化率。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将年份规范化为阿拉伯数字“2025”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二五年”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "2025 年"}, {"id": "q002", "category": "content", "question": "output中是否存在“第三季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "第三季度"}, {"id": "q003", "category": "content", "question": "output中是否存在“初步调研”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "初步调研"}, {"id": "q004", "category": "content", "question": "output中是否存在“用户留存率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用户留存率"}, {"id": "q005", "category": "content", "question": "output中是否存在“转化率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "转化率"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想在 2025 年的第三季度完成这个项目的初步调研，重点分析用户留存率和转化率。"}]}
{"status": "success", "index": 347, "source_record_id": "recheck.jsonl:618", "source_line": 342, "audio": "audio/passthrough__recheckjsonl618.wav", "scene": "passthrough", "language": "zh", "oral": "请帮我导航到上海市浦东新区世纪大道 1 号，避开拥堵路段。", "clean": "请帮我导航到上海市浦东新区世纪大道 1 号，避开拥堵路段。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“上海市浦东新区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 上海市浦东新区"}, {"id": "q002", "category": "content", "question": "output中是否存在“世纪大道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 世纪大道"}, {"id": "q003", "category": "content", "question": "output中是否存在“避开拥堵路段”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 避开拥堵路段"}, {"id": "q004", "category": "format", "question": "output中是否将“1”规范化为阿拉伯数字“1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“1”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 1"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 请帮我导航到上海市浦东新区世纪大道 1 号，避开拥堵路段。"}]}
{"status": "success", "index": 348, "source_record_id": "recheck.jsonl:619", "source_line": 343, "audio": "audio/passthrough__recheckjsonl619.wav", "scene": "passthrough", "language": "zh", "oral": "帮我把明天下午 3点 的会议提醒改成 3点半，顺便在日程表里加上准备 PPT 的事项。", "clean": "帮我把明天下午 3:00 的会议提醒改成 3:30，顺便在日程表里加上准备 PPT 的事项。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“会议提醒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 会议提醒"}, {"id": "q002", "category": "content", "question": "output中是否存在“日程表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 日程表"}, {"id": "q003", "category": "content", "question": "output中是否存在“准备PPT”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 准备 PPT"}, {"id": "q004", "category": "format", "question": "output中是否将“3点”输出为“3:00”？", "options": [{"text": "输出为“3:00”", "score": 1}, {"text": "输出为“3点”", "score": 0}, {"text": "未输出“3:00”且未输出“3点”", "score": -1}], "evidence": "oral: 3点, clean: 3:00"}, {"id": "q005", "category": "format", "question": "output中是否将“3点半”输出为“3:30”？", "options": [{"text": "输出为“3:30”", "score": 1}, {"text": "输出为“3点半”", "score": 0}, {"text": "未输出“3:30”且未输出“3点半”", "score": -1}], "evidence": "oral: 3点半, clean: 3:30"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 帮我把明天下午 3点 的会议提醒改成 3点半，顺便在日程表里加上准备 PPT 的事项。"}]}
{"status": "success", "index": 349, "source_record_id": "recheck.jsonl:622", "source_line": 346, "audio": "audio/passthrough__recheckjsonl622.wav", "scene": "passthrough", "language": "zh", "oral": "帮我记一下：明天下午 2 点记得给客户发邮件，确认最终的合同条款。", "clean": "帮我记一下：明天下午 2 点记得给客户发邮件，确认最终的合同条款。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“帮我记一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我记一下"}, {"id": "q002", "category": "content", "question": "output中是否存在“明天下午 2 点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 明天下午 2 点"}, {"id": "q003", "category": "content", "question": "output中是否存在“给客户发邮件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 给客户发邮件"}, {"id": "q004", "category": "content", "question": "output中是否存在“确认最终的合同条款”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 确认最终的合同条款"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 帮我记一下：明天下午 2 点记得给客户发邮件，确认最终的合同条款。"}]}
{"status": "success", "index": 350, "source_record_id": "recheck.jsonl:620", "source_line": 344, "audio": "audio/passthrough__recheckjsonl620.wav", "scene": "passthrough", "language": "zh", "oral": "我想搜索一下 2024 年最受欢迎的开源大语言模型对比分析报告。", "clean": "我想搜索一下 2024 年最受欢迎的开源大语言模型对比分析报告。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“开源大语言模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 开源大语言模型"}, {"id": "q002", "category": "content", "question": "output中是否存在“对比分析报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 对比分析报告"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想搜索一下 2024 年最受欢迎的开源大语言模型对比分析报告。"}]}
{"status": "success", "index": 352, "source_record_id": "recheck.jsonl:624", "source_line": 348, "audio": "audio/passthrough__recheckjsonl624.wav", "scene": "passthrough", "language": "zh", "oral": "请问从现在的位置到上海图书馆最快的路线是什么？预计需要多久？", "clean": "请问从现在的位置到上海图书馆最快的路线是什么？预计需要多久？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“请问”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 请问"}, {"id": "q002", "category": "content", "question": "output中是否存在“从现在的位置到上海图书馆”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 从现在的位置到上海图书馆"}, {"id": "q003", "category": "content", "question": "output中是否存在“最快的路线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最快的路线"}, {"id": "q004", "category": "content", "question": "output中是否存在“预计需要多久”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 预计需要多久"}]}
{"status": "success", "index": 353, "source_record_id": "recheck.jsonl:621", "source_line": 345, "audio": "audio/passthrough__recheckjsonl621.wav", "scene": "passthrough", "language": "zh", "oral": "请帮我把这段 Python 代码中的循环逻辑优化一下，现在的运行时间太长了。", "clean": "请帮我把这段 Python 代码中的循环逻辑优化一下，现在的运行时间太长了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“循环逻辑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "循环逻辑"}, {"id": "q002", "category": "format", "question": "output中是否将编程语言名称规范化为首字母大写的“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Python"}, {"id": "q003", "category": "content", "question": "output中是否存在“优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "优化一下"}, {"id": "q004", "category": "content", "question": "output中是否存在“运行时间太长”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "运行时间太长"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "请帮我把这段 Python 代码中的循环逻辑优化一下，现在的运行时间太长了。"}]}
{"status": "success", "index": 354, "source_record_id": "recheck.jsonl:623", "source_line": 347, "audio": "audio/passthrough__recheckjsonl623.wav", "scene": "passthrough", "language": "zh", "oral": "这次季度汇报的重点应该放在用户增长率和获客成本的优化上，尤其是 20-30 岁这个年龄段。", "clean": "这次季度汇报的重点应该放在用户增长率和获客成本的优化上，尤其是 20-30 岁这个年龄段。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“季度汇报的重点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这次季度汇报的重点"}, {"id": "q002", "category": "content", "question": "output中是否存在“用户增长率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用户增长率"}, {"id": "q003", "category": "content", "question": "output中是否存在“获客成本的优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "获客成本的优化"}, {"id": "q004", "category": "format", "question": "output中是否将“20-30”正确输出为“20-30”？", "options": [{"text": "进行了相同或合理的输出", "score": 1}, {"text": "没有正确输出但存在“二十到三十”等说法", "score": 0}, {"text": "不存在该词或输出错误", "score": -1}], "evidence": "20-30"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "这次季度汇报的重点应该放在用户增长率和获客成本的优化上，尤其是 20-30 岁这个年龄段。"}]}
{"status": "success", "index": 351, "source_record_id": "recheck.jsonl:625", "source_line": 349, "audio": "audio/passthrough__recheckjsonl625.wav", "scene": "passthrough", "language": "zh", "oral": "提醒我明天早上 8 点记得带上笔记本电脑和充电线。", "clean": "提醒我明天早上 8 点记得带上笔记本电脑和充电线。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“笔记本电脑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 笔记本电脑"}, {"id": "q002", "category": "content", "question": "output中是否存在“充电线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 充电线"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 提醒我明天早上 8 点记得带上笔记本电脑和充电线。"}]}
{"status": "success", "index": 355, "source_record_id": "recheck.jsonl:626", "source_line": 350, "audio": "audio/passthrough__recheckjsonl626.wav", "scene": "passthrough", "language": "zh", "oral": "请导航到上海市静安区南京西路 1618 号，避开拥堵路段。", "clean": "请导航到上海市静安区南京西路 1618 号，避开拥堵路段。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“上海市静安区南京西路1618号”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 上海市静安区南京西路 1618 号"}, {"id": "q002", "category": "content", "question": "output中是否存在“避开拥堵路段”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 避开拥堵路段"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 请导航到上海市静安区南京西路 1618 号，避开拥堵路段。"}]}
{"status": "success", "index": 357, "source_record_id": "recheck.jsonl:628", "source_line": 352, "audio": "audio/passthrough__recheckjsonl628.wav", "scene": "passthrough", "language": "zh", "oral": "最近读的那本书非常有启发，尤其是关于时间管理的那一部分，让我重新思考了工作优先级。", "clean": "最近读的那本书非常有启发，尤其是关于时间管理的那一部分，让我重新思考了工作优先级。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“时间管理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "尤其是关于时间管理的那一部分"}, {"id": "q002", "category": "content", "question": "output中是否存在“工作优先级”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "让我重新思考了工作优先级"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "最近读的那本书非常有启发，尤其是关于时间管理的那一部分，让我重新思考了工作优先级。"}, {"id": "q004", "category": "content", "question": "output中是否存在“重新思考”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "让我重新思考了工作优先级"}]}
{"status": "success", "index": 358, "source_record_id": "recheck.jsonl:627", "source_line": 351, "audio": "audio/passthrough__recheckjsonl627.wav", "scene": "passthrough", "language": "zh", "oral": "最近在阅读关于 Transformer 架构的论文，特别是关于注意力机制在长文本处理上的效率优化问题。", "clean": "最近在阅读关于 Transformer 架构的论文，特别是关于注意力机制在长文本处理上的效率优化问题。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Transformer”正确拼写并保持了首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Transformer”或大小写不同", "score": 0}, {"text": "不存在这个词或拼写错误", "score": -1}], "evidence": "oral: Transformer; clean: Transformer"}, {"id": "q002", "category": "content", "question": "output中是否存在“注意力机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 注意力机制"}, {"id": "q003", "category": "content", "question": "output中是否存在“长文本处理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 长文本处理"}, {"id": "q004", "category": "content", "question": "output中是否存在“效率优化问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 效率优化问题"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 最近在阅读关于 Transformer 架构的论文，特别是关于注意力机制在长文本处理上的效率优化问题。"}]}
{"status": "success", "index": 356, "source_record_id": "recheck.jsonl:631", "source_line": 355, "audio": "audio/passthrough__recheckjsonl631.wav", "scene": "passthrough", "language": "zh", "oral": "周六晚上 7 点在三里屯见，我们去吃那家新开的泰国餐厅吧。", "clean": "周六晚上 7 点在三里屯见，我们去吃那家新开的泰国餐厅吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“三里屯”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "三里屯"}, {"id": "q002", "category": "content", "question": "output中是否存在“泰国餐厅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "泰国餐厅"}, {"id": "q003", "category": "format", "question": "output中是否将时间表示为“7点”？", "options": [{"text": "保留了“7点”", "score": 1}, {"text": "保留了“七点”", "score": 0}, {"text": "不存在该时间表达或写成了其他形式", "score": -1}], "evidence": "7 点"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、重复词"}, {"id": "q005", "category": "rephrase", "question": "output中是否对“三里屯”进行了重新表述或修正？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral中无重新表述或修正"}]}
{"status": "success", "index": 360, "source_record_id": "recheck.jsonl:629", "source_line": 353, "audio": "audio/passthrough__recheckjsonl629.wav", "scene": "passthrough", "language": "zh", "oral": "关于深度学习在医学影像分析中的应用，我认为目前的注意力机制在处理长距离依赖时仍有提升空间。", "clean": "关于深度学习在医学影像分析中的应用，我认为目前的注意力机制在处理长距离依赖时仍有提升空间。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“深度学习在医学影像分析中的应用”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于深度学习在医学影像分析中的应用"}, {"id": "q002", "category": "content", "question": "output中是否存在“注意力机制在处理长距离依赖时仍有提升空间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 注意力机制在处理长距离依赖时仍有提升空间"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于深度学习在医学影像分析中的应用，我认为目前的注意力机制在处理长距离依赖时仍有提升空间。"}]}
{"status": "success", "index": 359, "source_record_id": "recheck.jsonl:630", "source_line": 354, "audio": "audio/passthrough__recheckjsonl630.wav", "scene": "passthrough", "language": "zh", "oral": "请将这段 Python 代码中的循环逻辑优化一下，尽量降低时间复杂度，避免使用嵌套循环。", "clean": "请将这段 Python 代码中的循环逻辑优化一下，尽量降低时间复杂度，避免使用嵌套循环。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将编程语言名称规范化为首字母大写的“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词的小写或其他形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Python"}, {"id": "q002", "category": "content", "question": "output中是否存在“循环逻辑优化”或“优化循环逻辑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "循环逻辑优化"}, {"id": "q003", "category": "content", "question": "output中是否存在“降低时间复杂度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "降低时间复杂度"}, {"id": "q004", "category": "content", "question": "output中是否存在“避免使用嵌套循环”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "避免使用嵌套循环"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "请将这段 Python 代码中的循环逻辑优化一下，尽量降低时间复杂度，避免使用嵌套循环。"}, {"id": "q006", "category": "rephrase", "question": "output中是否保留了“避免使用嵌套循环”的最终结果，且没有包含被否定、纠错或重新表述的过程？", "options": [{"text": "保留了最终结果且没有纠错过程", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "避免使用嵌套循环"}]}
{"status": "success", "index": 363, "source_record_id": "recheck.jsonl:635", "source_line": 358, "audio": "audio/passthrough__recheckjsonl635.wav", "scene": "passthrough", "language": "zh", "oral": "帮我订一张明天下午 2 点从上海到北京的高铁二等座机票。", "clean": "帮我订一张明天下午 2 点从上海到北京的高铁二等座机票。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“帮我订一张”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我订一张"}, {"id": "q002", "category": "format", "question": "output中是否将“明天下午 2 点”进行了合理的数字与时间规范化（如“明天下午2点”或“明天14:00”）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“明天下午 2 点”", "score": 0}, {"text": "不存在该时间表达或规范化错误", "score": -1}], "evidence": "clean: 明天下午 2 点"}, {"id": "q003", "category": "content", "question": "output中是否保留了“从上海到北京”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 从上海到北京"}, {"id": "q004", "category": "content", "question": "output中是否保留了“高铁二等座机票”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 高铁二等座机票"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 帮我订一张明天下午 2 点从上海到北京的高铁二等座机票。"}]}
{"status": "success", "index": 362, "source_record_id": "recheck.jsonl:633", "source_line": 357, "audio": "audio/passthrough__recheckjsonl633.wav", "scene": "passthrough", "language": "zh", "oral": "请帮我搜索一下 Python 中如何使用异步 IO 提高大规模网络请求的并发性能。", "clean": "请帮我搜索一下 Python 中如何使用异步 IO 提高大规模网络请求的并发性能。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Python”规范化为首字母大写的“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“python”等", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Python"}, {"id": "q002", "category": "format", "question": "output中是否将“IO”规范化为大写的“IO”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“io”等", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "IO"}, {"id": "q003", "category": "content", "question": "output中是否存在“异步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "异步"}, {"id": "q004", "category": "content", "question": "output中是否存在“大规模网络请求”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "大规模网络请求"}, {"id": "q005", "category": "content", "question": "output中是否存在“并发性能”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "并发性能"}]}
{"status": "success", "index": 361, "source_record_id": "recheck.jsonl:632", "source_line": 356, "audio": "audio/passthrough__recheckjsonl632.wav", "scene": "passthrough", "language": "zh", "oral": "你好，我的订单号是 88273615，我想咨询一下包裹目前到哪个转运中心了？", "clean": "你好，我的订单号是 88273615，我想咨询一下包裹目前到哪个转运中心了？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“你好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你好"}, {"id": "q002", "category": "content", "question": "output中是否存在“包裹目前到哪个转运中心”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 包裹目前到哪个转运中心了"}, {"id": "q003", "category": "format", "question": "output中是否将订单号规范化成了“88273615”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“88273615”或原始说法", "score": 0}, {"text": "不存在该订单号或规范化错误", "score": -1}], "evidence": "oral: 订单号是 88273615, clean: 订单号是 88273615"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 你好，我的订单号是 88273615，我想咨询一下包裹目前到哪个转运中心了？"}]}
{"status": "success", "index": 364, "source_record_id": "recheck.jsonl:638", "source_line": 361, "audio": "audio/passthrough__recheckjsonl638.wav", "scene": "passthrough", "language": "zh", "oral": "帮我记录一条备忘录：记得在周三下午 3 点预约牙医，并带上之前的 X 光片。", "clean": "帮我记录一条备忘录：记得在周三下午 3 点预约牙医，并带上之前的 X 光片。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“记录一条备忘录”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记录一条备忘录"}, {"id": "q002", "category": "content", "question": "output中是否存在“预约牙医”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "预约牙医"}, {"id": "q003", "category": "content", "question": "output中是否存在“带上之前的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "带上之前的"}, {"id": "q004", "category": "format", "question": "output中是否保留了“周三下午3点”？", "options": [{"text": "保留了“周三下午3点”或等价表达", "score": 1}, {"text": "没有保留但存在“周三下午三点”", "score": 0}, {"text": "不存在该时间表达", "score": -1}], "evidence": "周三下午 3 点"}, {"id": "q005", "category": "format", "question": "output中是否保留了“X光片”且“X”为大写？", "options": [{"text": "保留了“X光片”且“X”为大写", "score": 1}, {"text": "保留了“x光片”但“X”为小写", "score": 0}, {"text": "不存在“X光片”或“x光片”", "score": -1}], "evidence": "X 光片"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "帮我记录一条备忘录：记得在周三下午 3 点预约牙医，并带上之前的 X 光片。"}]}
{"status": "success", "index": 365, "source_record_id": "recheck.jsonl:636", "source_line": 359, "audio": "audio/passthrough__recheckjsonl636.wav", "scene": "passthrough", "language": "zh", "oral": "今天心情不错，打算周末约几个好朋友一起去郊区露营，顺便拍一些照片。", "clean": "今天心情不错，打算周末约几个好朋友一起去郊区露营，顺便拍一些照片。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“心情不错”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "今天心情不错"}, {"id": "q002", "category": "content", "question": "output中是否存在“周末约几个好朋友”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "打算周末约几个好朋友"}, {"id": "q003", "category": "content", "question": "output中是否存在“去郊区露营”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "一起去郊区露营"}, {"id": "q004", "category": "content", "question": "output中是否存在“拍一些照片”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "顺便拍一些照片"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "今天心情不错，打算周末约几个好朋友一起去郊区露营，顺便拍一些照片。"}]}
{"status": "success", "index": 366, "source_record_id": "recheck.jsonl:641", "source_line": 363, "audio": "audio/passthrough__recheckjsonl641.wav", "scene": "passthrough", "language": "zh", "oral": "将这个函数重构为异步模式，并确保在调用 API 时添加 500 毫秒的超时处理。", "clean": "将这个函数重构为异步模式，并确保在调用 API 时添加 500 毫秒的超时处理。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“将这个函数重构为异步模式”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 将这个函数重构为异步模式"}, {"id": "q002", "category": "content", "question": "output中是否保留了“调用 API”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 调用 API"}, {"id": "q003", "category": "format", "question": "output中是否将“500 毫秒”规范化成了“500毫秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“500 毫秒”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 500 毫秒; clean: 500 毫秒"}, {"id": "q004", "category": "content", "question": "output中是否保留了“超时处理”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 超时处理"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 将这个函数重构为异步模式，并确保在调用 API 时添加 500 毫秒的超时处理。"}]}
{"status": "success", "index": 367, "source_record_id": "recheck.jsonl:637", "source_line": 360, "audio": "audio/passthrough__recheckjsonl637.wav", "scene": "passthrough", "language": "zh", "oral": "关于深度学习中的梯度消失问题，我们应该讨论一下使用 ReLU 激活函数与 LSTM 结构的对比。", "clean": "关于深度学习中的梯度消失问题，我们应该讨论一下使用 ReLU 激活函数与 LSTM 结构的对比。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“深度学习”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于深度学习中的梯度消失问题"}, {"id": "q002", "category": "content", "question": "output中是否存在“梯度消失问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于深度学习中的梯度消失问题"}, {"id": "q003", "category": "content", "question": "output中是否存在“讨论”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我们应该讨论一下"}, {"id": "q004", "category": "format", "question": "output中是否将“ReLU”写成了首字母大写的“ReLU”？", "options": [{"text": "写成了首字母大写的“ReLU”", "score": 1}, {"text": "没有大写但存在“relu”", "score": 0}, {"text": "不存在该词或大小写错误", "score": -1}], "evidence": "使用 ReLU 激活函数"}, {"id": "q005", "category": "content", "question": "output中是否存在“激活函数”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "使用 ReLU 激活函数"}, {"id": "q006", "category": "format", "question": "output中是否将“LSTM”写成了全大写的“LSTM”？", "options": [{"text": "写成了全大写的“LSTM”", "score": 1}, {"text": "没有全大写但存在“lstm”", "score": 0}, {"text": "不存在该词或大小写错误", "score": -1}], "evidence": "与 LSTM 结构的对比"}, {"id": "q007", "category": "content", "question": "output中是否存在“结构”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "与 LSTM 结构的对比"}, {"id": "q008", "category": "content", "question": "output中是否存在“对比”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "与 LSTM 结构的对比"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "关于深度学习中的梯度消失问题，我们应该讨论一下使用 ReLU 激活函数与 LSTM 结构的对比。"}]}
{"status": "success", "index": 369, "source_record_id": "recheck.jsonl:642", "source_line": 364, "audio": "audio/passthrough__recheckjsonl642.wav", "scene": "passthrough", "language": "zh", "oral": "关于第二季度的市场推广计划，我认为我们需要增加在社交媒体端的投入，重点针对 18 到 25 岁的用户群。", "clean": "关于第二季度的市场推广计划，我认为我们需要增加在社交媒体端的投入，重点针对 18 到 25 岁的用户群。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“第二季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "第二季度"}, {"id": "q002", "category": "content", "question": "output中是否存在“市场推广计划”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "市场推广计划"}, {"id": "q003", "category": "content", "question": "output中是否存在“社交媒体端”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "社交媒体端"}, {"id": "q004", "category": "content", "question": "output中是否存在“18 到 25 岁”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "18 到 25 岁"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "关于第二季度的市场推广计划，我认为我们需要增加在社交媒体端的投入，重点针对 18 到 25 岁的用户群。"}]}
{"status": "success", "index": 368, "source_record_id": "recheck.jsonl:639", "source_line": 362, "audio": "audio/passthrough__recheckjsonl639.wav", "scene": "passthrough", "language": "zh", "oral": "在深度学习模型中，通过引入注意力机制可以有效解决长序列依赖问题，从而提升Transformer架构的性能。", "clean": "在深度学习模型中，通过引入注意力机制可以有效解决长序列依赖问题，从而提升Transformer架构的性能。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“注意力机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 通过引入注意力机制"}, {"id": "q002", "category": "content", "question": "output中是否存在“长序列依赖问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 解决长序列依赖问题"}, {"id": "q003", "category": "format", "question": "output中是否将“transformer”规范化成了首字母大写的“Transformer”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“transformer”", "score": 0}, {"text": "不存在这个词或大小写错误", "score": -1}], "evidence": "clean: Transformer架构"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 在深度学习模型中，通过引入注意力机制可以有效解决长序列依赖问题，从而提升Transformer架构的性能。"}]}
{"status": "success", "index": 370, "source_record_id": "recheck.jsonl:643", "source_line": 365, "audio": "audio/passthrough__recheckjsonl643.wav", "scene": "passthrough", "language": "zh", "oral": "明天下午3点你有空吗？我想约你一起去市中心那家新开的咖啡馆坐坐。", "clean": "明天下午3点你有空吗？我想约你一起去市中心那家新开的咖啡馆坐坐。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“明天下午3点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天下午3点"}, {"id": "q002", "category": "content", "question": "output中是否存在“你有空吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你有空吗"}, {"id": "q003", "category": "content", "question": "output中是否存在“市中心”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "市中心"}, {"id": "q004", "category": "content", "question": "output中是否存在“新开的咖啡馆”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "新开的咖啡馆"}, {"id": "q005", "category": "content", "question": "output中是否存在“坐坐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "坐坐"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "明天下午3点你有空吗？我想约你一起去市中心那家新开的咖啡馆坐坐。"}]}
{"status": "success", "index": 371, "source_record_id": "recheck.jsonl:644", "source_line": 366, "audio": "audio/passthrough__recheckjsonl644.wav", "scene": "passthrough", "language": "zh", "oral": "帮我把今天的待办事项记录下来：下午2点开周会，4点回复客户邮件，晚上记得给猫喂食。", "clean": "帮我把今天的待办事项记录下来：下午2点开周会，4点回复客户邮件，晚上记得给猫喂食。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“记录待办事项”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "帮我把今天的待办事项记录下来"}, {"id": "q002", "category": "content", "question": "output中是否保留了“下午2点开周会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "下午2点开周会"}, {"id": "q003", "category": "content", "question": "output中是否保留了“4点回复客户邮件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "4点回复客户邮件"}, {"id": "q004", "category": "content", "question": "output中是否保留了“晚上记得给猫喂食”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "晚上记得给猫喂食"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "帮我把今天的待办事项记录下来：下午2点开周会，4点回复客户邮件，晚上记得给猫喂食。"}]}
{"status": "success", "index": 372, "source_record_id": "recheck.jsonl:647", "source_line": 369, "audio": "audio/passthrough__recheckjsonl647.wav", "scene": "passthrough", "language": "zh", "oral": "我想查询一下 2024 年巴黎奥运会开幕式的具体时间。", "clean": "我想查询一下 2024 年巴黎奥运会开幕式的具体时间。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“巴黎奥运会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 巴黎奥运会"}, {"id": "q002", "category": "content", "question": "output中是否存在“开幕式”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 开幕式"}, {"id": "q003", "category": "content", "question": "output中是否存在“具体时间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 具体时间"}, {"id": "q004", "category": "format", "question": "output中是否将“2024 年”规范化成了“2024年”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2024 年”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 2024 年, clean: 2024年"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想查询一下 2024 年巴黎奥运会开幕式的具体时间。"}]}
{"status": "success", "index": 373, "source_record_id": "recheck.jsonl:646", "source_line": 368, "audio": "audio/passthrough__recheckjsonl646.wav", "scene": "passthrough", "language": "zh", "oral": "我的订单号是 20240812993，我想申请办理退货，请问具体的流程是怎么样的？", "clean": "我的订单号是 20240812993，我想申请办理退货，请问具体的流程是怎么样的？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“订单号”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我的订单号是 20240812993"}, {"id": "q002", "category": "content", "question": "output中是否存在“20240812993”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我的订单号是 20240812993"}, {"id": "q003", "category": "content", "question": "output中是否存在“申请办理退货”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我想申请办理退货"}, {"id": "q004", "category": "content", "question": "output中是否存在“具体的流程”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "请问具体的流程是怎么样的"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我的订单号是 20240812993，我想申请办理退货，请问具体的流程是怎么样的？"}]}
{"status": "success", "index": 377, "source_record_id": "recheck.jsonl:650", "source_line": 370, "audio": "audio/passthrough__recheckjsonl650.wav", "scene": "passthrough", "language": "zh", "oral": "关于这个季度的人员绩效考核，我认为应该增加一个关于团队协作的量化指标。", "clean": "关于这个季度的人员绩效考核，我认为应该增加一个关于团队协作的量化指标。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“人员绩效考核”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于这个季度的人员绩效考核"}, {"id": "q002", "category": "content", "question": "output中是否存在“团队协作的量化指标”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 增加一个关于团队协作的量化指标"}]}
{"status": "success", "index": 374, "source_record_id": "recheck.jsonl:651", "source_line": 371, "audio": "audio/passthrough__recheckjsonl651.wav", "scene": "passthrough", "language": "zh", "oral": "关于第二季度的市场分析报告，我认为我们需要重点关注用户留存率的下滑原因。", "clean": "关于第二季度的市场分析报告，我认为我们需要重点关注用户留存率的下滑原因。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“市场分析报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 市场分析报告"}, {"id": "q002", "category": "content", "question": "output中是否存在“用户留存率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 用户留存率"}, {"id": "q003", "category": "content", "question": "output中是否存在“下滑原因”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下滑原因"}]}
{"status": "success", "index": 375, "source_record_id": "recheck.jsonl:645", "source_line": 367, "audio": "audio/passthrough__recheckjsonl645.wav", "scene": "passthrough", "language": "zh", "oral": "关于大语言模型在医疗诊断中的鲁棒性问题，我认为我们需要引入更多高质量的对抗性样本进行微调。", "clean": "关于大语言模型在医疗诊断中的鲁棒性问题，我认为我们需要引入更多高质量的对抗性样本进行微调。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“大语言模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "大语言模型"}, {"id": "q002", "category": "content", "question": "output中是否存在“医疗诊断”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "医疗诊断"}, {"id": "q003", "category": "content", "question": "output中是否存在“鲁棒性问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "鲁棒性问题"}, {"id": "q004", "category": "content", "question": "output中是否存在“对抗性样本”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "对抗性样本"}, {"id": "q005", "category": "content", "question": "output中是否存在“微调”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "微调"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "无口语词或重复词语"}]}
{"status": "success", "index": 380, "source_record_id": "recheck.jsonl:657", "source_line": 374, "audio": "audio/passthrough__recheckjsonl657.wav", "scene": "passthrough", "language": "zh", "oral": "关于这篇论文的第三章，我认为目前的消融实验不足以支撑结论，需要增加对比基准模型。", "clean": "关于这篇论文的第三章，我认为目前的消融实验不足以支撑结论，需要增加对比基准模型。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“论文的第三章”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于这篇论文的第三章"}, {"id": "q002", "category": "content", "question": "output中是否存在“消融实验不足以支撑结论”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我认为目前的消融实验不足以支撑结论"}, {"id": "q003", "category": "content", "question": "output中是否存在“增加对比基准模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "需要增加对比基准模型"}]}
{"status": "success", "index": 376, "source_record_id": "recheck.jsonl:654", "source_line": 372, "audio": "audio/passthrough__recheckjsonl654.wav", "scene": "passthrough", "language": "zh", "oral": "请将当前项目的所有 API 接口文档同步到 Confluence 页面，并通知前端开发团队。", "clean": "请将当前项目的所有 API 接口文档同步到 Confluence 页面，并通知前端开发团队。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“当前项目的所有接口文档”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 当前项目的所有 API 接口文档"}, {"id": "q002", "category": "format", "question": "output中是否将“API”正确拼写并全大写？", "options": [{"text": "正确拼写并全大写", "score": 1}, {"text": "拼写正确但未全大写", "score": 0}, {"text": "拼写错误或不存在", "score": -1}], "evidence": "clean: API"}, {"id": "q003", "category": "content", "question": "output中是否保留了“同步到页面”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 同步到 Confluence 页面"}, {"id": "q004", "category": "format", "question": "output中是否将“Confluence”正确拼写并首字母大写？", "options": [{"text": "正确拼写并首字母大写", "score": 1}, {"text": "拼写正确但未首字母大写", "score": 0}, {"text": "拼写错误或不存在", "score": -1}], "evidence": "clean: Confluence"}, {"id": "q005", "category": "content", "question": "output中是否保留了“通知前端开发团队”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 通知前端开发团队"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 请将当前项目的所有 API 接口文档同步到 Confluence 页面，并通知前端开发团队。"}]}
{"status": "success", "index": 378, "source_record_id": "recheck.jsonl:656", "source_line": 373, "audio": "audio/passthrough__recheckjsonl656.wav", "scene": "passthrough", "language": "zh", "oral": "我想查一下订单号 20240512998 的快递到哪了，为什么显示在上海停了 3 天？", "clean": "我想查一下订单号 20240512998 的快递到哪了，为什么显示在上海停了 3 天？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“快递到哪了”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "快递到哪了"}, {"id": "q002", "category": "format", "question": "output中是否将订单号规范化成了“20240512998”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该订单号或规范化错误", "score": -1}], "evidence": "订单号 20240512998"}, {"id": "q003", "category": "content", "question": "output中是否保留了“在上海”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在上海"}, {"id": "q004", "category": "content", "question": "output中是否保留了“停了3天”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "停了 3 天"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想查一下订单号 20240512998 的快递到哪了，为什么显示在上海停了 3 天？"}]}
{"status": "success", "index": 379, "source_record_id": "recheck.jsonl:658", "source_line": 375, "audio": "audio/passthrough__recheckjsonl658.wav", "scene": "passthrough", "language": "zh", "oral": "我们需要在模型训练中引入 L2 正则化，以防止在验证集上出现过拟合现象。", "clean": "我们需要在模型训练中引入 L2 正则化，以防止在验证集上出现过拟合现象。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“L2”正确显示为大写字母L和数字2？", "options": [{"text": "正确显示为大写字母L和数字2", "score": 1}, {"text": "存在“L2”但未正确显示大小写或数字", "score": 0}, {"text": "不存在该词或显示错误", "score": -1}], "evidence": "clean: L2"}, {"id": "q002", "category": "content", "question": "output中是否存在“模型训练”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 模型训练"}, {"id": "q003", "category": "content", "question": "output中是否存在“正则化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 正则化"}, {"id": "q004", "category": "content", "question": "output中是否存在“验证集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 验证集"}, {"id": "q005", "category": "content", "question": "output中是否存在“过拟合”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 过拟合"}, {"id": "q006", "category": "content", "question": "output中是否存在“防止”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 防止"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我们需要在模型训练中引入 L2 正则化，以防止在验证集上出现过拟合现象。"}]}
{"status": "success", "index": 381, "source_record_id": "recheck.jsonl:661", "source_line": 377, "audio": "audio/passthrough__recheckjsonl661.wav", "scene": "passthrough", "language": "zh", "oral": "最近压力有点大，想在这个周末去郊外徒步放松一下，你有兴趣一起去吗？", "clean": "最近压力有点大，想在这个周末去郊外徒步放松一下，你有兴趣一起去吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“压力有点大”或“压力大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最近压力有点大"}, {"id": "q002", "category": "content", "question": "output中是否存在“郊外徒步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "想在这个周末去郊外徒步"}, {"id": "q003", "category": "content", "question": "output中是否存在“放松一下”或“放松”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "放松一下"}, {"id": "q004", "category": "content", "question": "output中是否存在“有兴趣一起去”或“一起去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你有兴趣一起去吗"}]}
{"status": "success", "index": 382, "source_record_id": "recheck.jsonl:659", "source_line": 376, "audio": "audio/passthrough__recheckjsonl659.wav", "scene": "passthrough", "language": "zh", "oral": "最近在看一本关于量子力学的书，感觉里面的波函数概念非常有趣。", "clean": "最近在看一本关于量子力学的书，感觉里面的波函数概念非常有趣。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“量子力学”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于量子力学的书"}, {"id": "q002", "category": "content", "question": "output中是否存在“波函数”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "波函数概念"}, {"id": "q003", "category": "content", "question": "output中是否存在“非常有趣”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "非常有趣"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "最近在看一本关于量子力学的书，感觉里面的波函数概念非常有趣。"}]}
{"status": "success", "index": 383, "source_record_id": "recheck.jsonl:663", "source_line": 378, "audio": "audio/passthrough__recheckjsonl663.wav", "scene": "passthrough", "language": "zh", "oral": "帮我查一下去上海虹桥机场最快的路线，现在堵车严重吗？", "clean": "帮我查一下去上海虹桥机场最快的路线，现在堵车严重吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“去上海虹桥机场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去上海虹桥机场"}, {"id": "q002", "category": "content", "question": "output中是否存在“最快的路线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最快的路线"}, {"id": "q003", "category": "content", "question": "output中是否存在“现在堵车严重吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 现在堵车严重吗"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 帮我查一下去上海虹桥机场最快的路线，现在堵车严重吗？"}]}
{"status": "success", "index": 384, "source_record_id": "recheck.jsonl:665", "source_line": 380, "audio": "audio/passthrough__recheckjsonl665.wav", "scene": "passthrough", "language": "zh", "oral": "在 Transformer 架构中，多头注意力机制能够让模型在不同表示子空间中共同学习信息。", "clean": "在 Transformer 架构中，多头注意力机制能够让模型在不同表示子空间中共同学习信息。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“多头注意力机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 多头注意力机制"}, {"id": "q002", "category": "content", "question": "output中是否存在“不同表示子空间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 不同表示子空间"}, {"id": "q003", "category": "content", "question": "output中是否存在“共同学习信息”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 共同学习信息"}, {"id": "q004", "category": "format", "question": "output中是否保留了专有名词“Transformer”且首字母大写？", "options": [{"text": "保留了“Transformer”且首字母大写", "score": 1}, {"text": "保留了该词但未首字母大写或拼写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: Transformer"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 在 Transformer 架构中，多头注意力机制能够让模型在不同表示子空间中共同学习信息。"}]}
{"status": "success", "index": 385, "source_record_id": "recheck.jsonl:664", "source_line": 379, "audio": "audio/passthrough__recheckjsonl664.wav", "scene": "passthrough", "language": "zh", "oral": "关于这篇论文的第三章，我认为在实验部分需要增加更多关于消融研究的对比数据，以增强结论的说服力。", "clean": "关于这篇论文的第三章，我认为在实验部分需要增加更多关于消融研究的对比数据，以增强结论的说服力。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“论文的第三章”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于这篇论文的第三章"}, {"id": "q002", "category": "content", "question": "output中是否存在“消融研究”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 更多关于消融研究的对比数据"}, {"id": "q003", "category": "content", "question": "output中是否存在“对比数据”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 消融研究的对比数据"}, {"id": "q004", "category": "content", "question": "output中是否存在“增强结论的说服力”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 以增强结论的说服力"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于这篇论文的第三章，我认为在实验部分需要增加更多关于消融研究的对比数据，以增强结论的说服力。"}]}
{"status": "success", "index": 388, "source_record_id": "recheck.jsonl:669", "source_line": 384, "audio": "audio/passthrough__recheckjsonl669.wav", "scene": "passthrough", "language": "zh", "oral": "记得在购物清单里加上 2 升牛奶、一打鸡蛋和一袋全麦面包。", "clean": "记得在购物清单里加上 2 升牛奶、一打鸡蛋和一袋全麦面包。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“购物清单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 购物清单"}, {"id": "q002", "category": "content", "question": "output中是否存在“2 升牛奶”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 2 升牛奶"}, {"id": "q003", "category": "content", "question": "output中是否存在“一打鸡蛋”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 一打鸡蛋"}, {"id": "q004", "category": "content", "question": "output中是否存在“一袋全麦面包”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 一袋全麦面包"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 记得在购物清单里加上 2 升牛奶、一打鸡蛋和一袋全麦面包。"}]}
{"status": "success", "index": 386, "source_record_id": "recheck.jsonl:666", "source_line": 381, "audio": "audio/passthrough__recheckjsonl666.wav", "scene": "passthrough", "language": "zh", "oral": "我想咨询一下订单号 20240512998 的物流状态，显示已经到达分拨中心三天了，请帮我核实一下。", "clean": "我想咨询一下订单号 20240512998 的物流状态，显示已经到达分拨中心三天了，请帮我核实一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“物流状态”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 物流状态"}, {"id": "q002", "category": "content", "question": "output中是否存在“分拨中心”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 分拨中心"}, {"id": "q003", "category": "content", "question": "output中是否存在“三天”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 三天"}, {"id": "q004", "category": "format", "question": "output中是否保留了订单号“20240512998”？", "options": [{"text": "保留了“20240512998”", "score": 1}, {"text": "缺失或识别错误", "score": -1}], "evidence": "clean: 20240512998"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想咨询一下订单号 20240512998 的物流状态，显示已经到达分拨中心三天了，请帮我核实一下。"}]}
{"status": "success", "index": 387, "source_record_id": "recheck.jsonl:670", "source_line": 385, "audio": "audio/passthrough__recheckjsonl670.wav", "scene": "passthrough", "language": "zh", "oral": "帮我订一张明天上午 10 点去上海的高铁二等座票。", "clean": "帮我订一张明天上午 10 点去上海的高铁二等座票。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“明天上午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天上午"}, {"id": "q002", "category": "content", "question": "output中是否存在“10点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "10 点"}, {"id": "q003", "category": "content", "question": "output中是否存在“上海”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "上海"}, {"id": "q004", "category": "content", "question": "output中是否存在“高铁”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "高铁"}, {"id": "q005", "category": "content", "question": "output中是否存在“二等座”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "二等座"}, {"id": "q006", "category": "content", "question": "output中是否存在“订”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "订"}, {"id": "q007", "category": "content", "question": "output中是否存在“一张”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "一张"}]}
{"status": "success", "index": 392, "source_record_id": "recheck.jsonl:673", "source_line": 387, "audio": "audio/passthrough__recheckjsonl673.wav", "scene": "passthrough", "language": "zh", "oral": "记得买牛奶、鸡蛋和洗洁精，顺便问一下妈妈周末要不要一起去公园野餐。", "clean": "记得买牛奶、鸡蛋和洗洁精，顺便问一下妈妈周末要不要一起去公园野餐。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“记得买牛奶、鸡蛋和洗洁精”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记得买牛奶、鸡蛋和洗洁精"}, {"id": "q002", "category": "content", "question": "output中是否保留了“顺便问一下妈妈周末要不要一起去公园野餐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "顺便问一下妈妈周末要不要一起去公园野餐"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "记得买牛奶、鸡蛋和洗洁精，顺便问一下妈妈周末要不要一起去公园野餐。"}]}
{"status": "success", "index": 391, "source_record_id": "recheck.jsonl:671", "source_line": 386, "audio": "audio/passthrough__recheckjsonl671.wav", "scene": "passthrough", "language": "zh", "oral": "关于下个季度的市场推广计划，我认为我们应该增加在短视频平台的投放预算，以吸引更多 18 到 25 岁的年轻用户。", "clean": "关于下个季度的市场推广计划，我认为我们应该增加在短视频平台的投放预算，以吸引更多 18 到 25 岁的年轻用户。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“下个季度的市场推广计划”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下个季度的市场推广计划"}, {"id": "q002", "category": "content", "question": "output中是否存在“增加在短视频平台的投放预算”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 增加在短视频平台的投放预算"}, {"id": "q003", "category": "content", "question": "output中是否存在“18到25岁的年轻用户”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 18 到 25 岁的年轻用户"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于下个季度的市场推广计划，我认为我们应该增加在短视频平台的投放预算，以吸引更多 18 到 25 岁的年轻用户。"}]}
{"status": "success", "index": 389, "source_record_id": "recheck.jsonl:667", "source_line": 382, "audio": "audio/passthrough__recheckjsonl667.wav", "scene": "passthrough", "language": "zh", "oral": "关于第二季度的销售报告，我建议在 PPT 中增加一个对比图表，详细分析 5 月份的增长原因。", "clean": "关于第二季度的销售报告，我建议在 PPT 中增加一个对比图表，详细分析 5 月份的增长原因。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“对比图表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 对比图表"}, {"id": "q002", "category": "content", "question": "output中是否存在“销售报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 销售报告"}, {"id": "q003", "category": "format", "question": "output中是否保留了大写的“PPT”？", "options": [{"text": "保留了大写的“PPT”", "score": 1}, {"text": "保留了小写“ppt”或其他形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: PPT"}, {"id": "q004", "category": "format", "question": "output中是否保留了“5月份”？", "options": [{"text": "保留了“5月份”", "score": 1}, {"text": "保留了“五月份”等未规范化形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: 5月份"}, {"id": "q005", "category": "format", "question": "output中是否保留了“第二季度”？", "options": [{"text": "保留了“第二季度”", "score": 1}, {"text": "保留了“第二季度”等未规范化形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: 第二季度"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于第二季度的销售报告，我建议在 PPT 中增加一个对比图表，详细分析 5 月份的增长原因。"}]}
{"status": "success", "index": 390, "source_record_id": "recheck.jsonl:668", "source_line": 383, "audio": "audio/passthrough__recheckjsonl668.wav", "scene": "passthrough", "language": "zh", "oral": "最近在读的一本书非常有启发，它讨论了认知心理学在现代产品设计中的实际应用。", "clean": "最近在读的一本书非常有启发，它讨论了认知心理学在现代产品设计中的实际应用。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“最近在读的一本书”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最近在读的一本书"}, {"id": "q002", "category": "content", "question": "output中是否存在“非常有启发”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 非常有启发"}, {"id": "q003", "category": "content", "question": "output中是否存在“认知心理学”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 认知心理学"}, {"id": "q004", "category": "content", "question": "output中是否存在“现代产品设计”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 现代产品设计"}, {"id": "q005", "category": "content", "question": "output中是否存在“实际应用”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 实际应用"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 最近在读的一本书非常有启发，它讨论了认知心理学在现代产品设计中的实际应用。"}]}
{"status": "success", "index": 395, "source_record_id": "recheck.jsonl:679", "source_line": 391, "audio": "audio/passthrough__recheckjsonl679.wav", "scene": "passthrough", "language": "zh", "oral": "周末有空吗？我们一起去那家新开的日料店试试吧，听说他们的Omakase性价比很高。", "clean": "周末有空吗？我们一起去那家新开的日料店试试吧，听说他们的Omakase性价比很高。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“周末有空吗”？", "options": [{"text": "存在“周末有空吗”", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "周末有空吗"}, {"id": "q002", "category": "content", "question": "output中是否存在“新开的日料店”？", "options": [{"text": "存在“新开的日料店”", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "新开的日料店"}, {"id": "q003", "category": "content", "question": "output中是否存在“Omakase”或发音相似的词语？", "options": [{"text": "存在“Omakase”或发音相似的词语", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Omakase"}, {"id": "q004", "category": "content", "question": "output中是否存在“性价比很高”？", "options": [{"text": "存在“性价比很高”", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "性价比很高"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "周末有空吗？我们一起去那家新开的日料店试试吧，听说他们的Omakase性价比很高。"}]}
{"status": "success", "index": 393, "source_record_id": "recheck.jsonl:676", "source_line": 388, "audio": "audio/passthrough__recheckjsonl676.wav", "scene": "passthrough", "language": "zh", "oral": "在 Python 中，如何使用 pandas 库实现对一个 2GB 大小的 CSV 文件进行分块读取？", "clean": "在 Python 中，如何使用 pandas 库实现对一个 2GB 大小的 CSV 文件进行分块读取？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“2GB”规范化成了“2GB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2GB”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "2GB"}, {"id": "q002", "category": "format", "question": "output中是否将“Python”规范化成了“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Python”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Python"}, {"id": "q003", "category": "format", "question": "output中是否将“pandas”规范化成了“pandas”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“pandas”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "pandas"}, {"id": "q004", "category": "format", "question": "output中是否将“CSV”规范化成了“CSV”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CSV”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "CSV"}, {"id": "q005", "category": "content", "question": "output中是否存在“如何使用”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "如何使用"}, {"id": "q006", "category": "content", "question": "output中是否存在“分块读取”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "分块读取"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "在 Python 中，如何使用 pandas 库实现对一个 2GB 大小的 CSV 文件进行分块读取？"}]}
{"status": "success", "index": 394, "source_record_id": "recheck.jsonl:678", "source_line": 390, "audio": "audio/passthrough__recheckjsonl678.wav", "scene": "passthrough", "language": "zh", "oral": "关于第二季度的营收增长，我们目前的初步分析显示，主要驱动力来自于东南亚市场的 B2C 业务扩张。", "clean": "关于第二季度的营收增长，我们目前的初步分析显示，主要驱动力来自于东南亚市场的 B2C 业务扩张。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“第二季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "第二季度"}, {"id": "q002", "category": "content", "question": "output中是否存在“营收增长”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "营收增长"}, {"id": "q003", "category": "content", "question": "output中是否存在“东南亚市场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "东南亚市场"}, {"id": "q004", "category": "format", "question": "output中是否保留了“B2C”的正确大写形式？", "options": [{"text": "保留了正确的大写形式“B2C”", "score": 1}, {"text": "保留了小写形式如“b2c”", "score": 0}, {"text": "不存在该词或大小写错误", "score": -1}], "evidence": "B2C"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "关于第二季度的营收增长，我们目前的初步分析显示，主要驱动力来自于东南亚市场的 B2C 业务扩张。"}]}
{"status": "success", "index": 398, "source_record_id": "recheck.jsonl:684", "source_line": 393, "audio": "audio/passthrough__recheckjsonl684.wav", "scene": "passthrough", "language": "zh", "oral": "帮我记录一条备忘录：记得在周五下班前把项目进度表发给王经理。", "clean": "帮我记录一条备忘录：记得在周五下班前把项目进度表发给王经理。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“记录一条备忘录”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "帮我记录一条备忘录"}, {"id": "q002", "category": "content", "question": "output中是否存在“周五下班前”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记得在周五下班前"}, {"id": "q003", "category": "content", "question": "output中是否存在“项目进度表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把项目进度表"}, {"id": "q004", "category": "content", "question": "output中是否存在“发给王经理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "发给王经理"}]}
{"status": "success", "index": 396, "source_record_id": "recheck.jsonl:681", "source_line": 392, "audio": "audio/passthrough__recheckjsonl681.wav", "scene": "passthrough", "language": "zh", "oral": "关于这个季度的KPI，我认为我们在用户留存率方面还需要进一步优化，建议增加针对新用户的引导流程。", "clean": "关于这个季度的KPI，我认为我们在用户留存率方面还需要进一步优化，建议增加针对新用户的引导流程。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“这个季度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个季度"}, {"id": "q002", "category": "format", "question": "output中是否保留了“KPI”？", "options": [{"text": "保留了“KPI”", "score": 1}, {"text": "没有保留“KPI”但存在类似发音的词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: KPI"}, {"id": "q003", "category": "content", "question": "output中是否存在“用户留存率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 用户留存率"}, {"id": "q004", "category": "content", "question": "output中是否存在“进一步优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 进一步优化"}, {"id": "q005", "category": "content", "question": "output中是否存在“针对新用户的引导流程”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 针对新用户的引导流程"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于这个季度的KPI，我认为我们在用户留存率方面还需要进一步优化，建议增加针对新用户的引导流程。"}]}
{"status": "success", "index": 399, "source_record_id": "recheck.jsonl:687", "source_line": 396, "audio": "audio/passthrough__recheckjsonl687.wav", "scene": "passthrough", "language": "zh", "oral": "帮我预定明天下午 2 点的会议室，记得邀请产品组的所有成员。", "clean": "帮我预定明天下午 2 点的会议室，记得邀请产品组的所有成员。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“帮我预定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "帮我预定"}, {"id": "q002", "category": "content", "question": "output中是否存在“明天下午2点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天下午 2 点"}, {"id": "q003", "category": "content", "question": "output中是否存在“会议室”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "会议室"}, {"id": "q004", "category": "content", "question": "output中是否存在“记得邀请产品组的所有成员”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记得邀请产品组的所有成员"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "帮我预定明天下午 2 点的会议室，记得邀请产品组的所有成员。"}]}
{"status": "success", "index": 401, "source_record_id": "recheck.jsonl:691", "source_line": 398, "audio": "audio/passthrough__recheckjsonl691.wav", "scene": "passthrough", "language": "zh", "oral": "最近心情挺不错的，感觉生活节奏慢了下来，打算周末去郊区徒步放松一下。", "clean": "最近心情挺不错的，感觉生活节奏慢了下来，打算周末去郊区徒步放松一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“心情挺不错”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最近心情挺不错的"}, {"id": "q002", "category": "content", "question": "output中是否存在“生活节奏慢了下来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "感觉生活节奏慢了下来"}, {"id": "q003", "category": "content", "question": "output中是否存在“去郊区徒步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "打算周末去郊区徒步"}, {"id": "q004", "category": "content", "question": "output中是否存在“放松一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "放松一下"}]}
{"status": "success", "index": 397, "source_record_id": "recheck.jsonl:685", "source_line": 394, "audio": "audio/passthrough__recheckjsonl685.wav", "scene": "passthrough", "language": "zh", "oral": "记得明天早上 8 点去超市买牛奶、鸡蛋和 2 公斤苹果。", "clean": "记得明天早上 8 点去超市买牛奶、鸡蛋和 2 公斤苹果。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“记得”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记得"}, {"id": "q002", "category": "content", "question": "output中是否存在“明天早上8点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天早上 8 点"}, {"id": "q003", "category": "content", "question": "output中是否存在“去超市”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "去超市"}, {"id": "q004", "category": "content", "question": "output中是否存在“买牛奶”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "买牛奶"}, {"id": "q005", "category": "content", "question": "output中是否存在“鸡蛋”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "鸡蛋"}, {"id": "q006", "category": "content", "question": "output中是否存在“2公斤苹果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "2 公斤苹果"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "记得明天早上 8 点去超市买牛奶、鸡蛋和 2 公斤苹果。"}]}
{"status": "success", "index": 400, "source_record_id": "recheck.jsonl:686", "source_line": 395, "audio": "audio/passthrough__recheckjsonl686.wav", "scene": "passthrough", "language": "zh", "oral": "记得在 2025 年 3 月 15 日之前提交所有的报销凭证，否则无法在当月结算。", "clean": "记得在 2025 年 3 月 15 日之前提交所有的报销凭证，否则无法在当月结算。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将日期表述为“2025年3月15日”或“2025-03-15”等合理格式？", "options": [{"text": "进行了相同或合理的规范化，如“2025年3月15日”或“2025-03-15”", "score": 1}, {"text": "没有进行规范化，表述为“二零二五年三月十五日”", "score": 0}, {"text": "不存在该日期或格式错误", "score": -1}], "evidence": "2025 年 3 月 15 日"}, {"id": "q002", "category": "content", "question": "output中是否存在“报销凭证”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "报销凭证"}, {"id": "q003", "category": "content", "question": "output中是否存在“当月结算”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "当月结算"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "记得在 2025 年 3 月 15 日之前提交所有的报销凭证，否则无法在当月结算。"}]}
{"status": "success", "index": 403, "source_record_id": "recheck.jsonl:692", "source_line": 399, "audio": "audio/passthrough__recheckjsonl692.wav", "scene": "passthrough", "language": "zh", "oral": "关于这篇论文的第三章，我认为目前的消融实验不足以证明该模块的有效性，需要增加对比基准。", "clean": "关于这篇论文的第三章，我认为目前的消融实验不足以证明该模块的有效性，需要增加对比基准。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“论文的第三章”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于这篇论文的第三章"}, {"id": "q002", "category": "content", "question": "output中是否存在“消融实验不足以证明该模块的有效性”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "目前的消融实验不足以证明该模块的有效性"}, {"id": "q003", "category": "content", "question": "output中是否存在“需要增加对比基准”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "需要增加对比基准"}]}
{"status": "success", "index": 402, "source_record_id": "recheck.jsonl:689", "source_line": 397, "audio": "audio/passthrough__recheckjsonl689.wav", "scene": "passthrough", "language": "zh", "oral": "我们在部署 K8s 集群时遇到了 Pod 调度问题，需要检查一下节点资源配额和 Taints 设置。", "clean": "我们在部署 K8s 集群时遇到了 Pod 调度问题，需要检查一下节点资源配额和 Taints 设置。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“K8s”保留为正确的大小写形式“K8s”？", "options": [{"text": "保留了正确的大小写形式“K8s”", "score": 1}, {"text": "保留了该词但大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "K8s"}, {"id": "q002", "category": "format", "question": "output中是否将“Pod”保留为正确的大小写形式“Pod”？", "options": [{"text": "保留了正确的大小写形式“Pod”", "score": 1}, {"text": "保留了该词但大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Pod"}, {"id": "q003", "category": "format", "question": "output中是否将“Taints”保留为正确的大小写形式“Taints”？", "options": [{"text": "保留了正确的大小写形式“Taints”", "score": 1}, {"text": "保留了该词但大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Taints"}, {"id": "q004", "category": "content", "question": "output中是否存在“部署集群”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "部署 K8s 集群"}, {"id": "q005", "category": "content", "question": "output中是否存在“调度问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Pod 调度问题"}, {"id": "q006", "category": "content", "question": "output中是否存在“节点资源配额”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "节点资源配额"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我们在部署 K8s 集群时遇到了 Pod 调度问题，需要检查一下节点资源配额和 Taints 设置。"}]}
{"status": "success", "index": 404, "source_record_id": "recheck.jsonl:694", "source_line": 401, "audio": "audio/passthrough__recheckjsonl694.wav", "scene": "passthrough", "language": "zh", "oral": "提醒我明天上午 10 点给王经理发邮件，把上周的销售报告附件加上。", "clean": "提醒我明天上午 10 点给王经理发邮件，把上周的销售报告附件加上。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“明天上午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 明天上午"}, {"id": "q002", "category": "content", "question": "output中是否保留了“给王经理发邮件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 给王经理发邮件"}, {"id": "q003", "category": "content", "question": "output中是否保留了“上周的销售报告附件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 上周的销售报告附件"}, {"id": "q004", "category": "format", "question": "output中是否将“10 点”规范化成了“10:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“10 点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 10 点, clean: 10 点"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 提醒我明天上午 10 点给王经理发邮件，把上周的销售报告附件加上。"}, {"id": "q006", "category": "rephrase", "question": "output中是否将oral中的自我修正或解释性语句处理成了最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 提醒我明天上午 10 点给王经理发邮件，把上周的销售报告附件加上。"}]}
{"status": "success", "index": 406, "source_record_id": "recheck.jsonl:695", "source_line": 402, "audio": "audio/passthrough__recheckjsonl695.wav", "scene": "passthrough", "language": "zh", "oral": "我想咨询一下订单号 2024051299 的物流状态，为什么已经在转运中心停留 3 天了？", "clean": "我想咨询一下订单号 2024051299 的物流状态，为什么已经在转运中心停留 3 天了？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“咨询订单号”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我想咨询一下订单号"}, {"id": "q002", "category": "content", "question": "output中是否保留了“物流状态”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "的物流状态"}, {"id": "q003", "category": "content", "question": "output中是否保留了“转运中心”的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "为什么已经在转运中心"}, {"id": "q004", "category": "format", "question": "output中是否将订单号显示为“2024051299”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2024051299”", "score": 0}, {"text": "不存在该数字或显示错误", "score": -1}], "evidence": "订单号 2024051299"}, {"id": "q005", "category": "format", "question": "output中是否将停留天数显示为“3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“3”", "score": 0}, {"text": "不存在该数字或显示错误", "score": -1}], "evidence": "停留 3 天"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想咨询一下订单号 2024051299 的物流状态，为什么已经在转运中心停留 3 天了？"}]}
{"status": "success", "index": 405, "source_record_id": "recheck.jsonl:693", "source_line": 400, "audio": "audio/passthrough__recheckjsonl693.wav", "scene": "passthrough", "language": "zh", "oral": "我想在 Python 中使用 FastAPI 构建一个异步的 REST API，应该如何配置中间件？", "clean": "我想在 Python 中使用 FastAPI 构建一个异步的 REST API，应该如何配置中间件？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Python”规范化成了正确的大小写形式“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“python”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Python"}, {"id": "q002", "category": "format", "question": "output中是否将“FastAPI”规范化成了正确的大小写形式“FastAPI”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fastapi”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: FastAPI"}, {"id": "q003", "category": "format", "question": "output中是否将“REST API”规范化成了正确的大小写形式“REST API”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“rest api”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: REST API"}, {"id": "q004", "category": "content", "question": "output中是否存在“异步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 异步"}, {"id": "q005", "category": "content", "question": "output中是否存在“构建”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 构建"}, {"id": "q006", "category": "content", "question": "output中是否存在“配置”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 配置"}, {"id": "q007", "category": "content", "question": "output中是否存在“中间件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 中间件"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想在 Python 中使用 FastAPI 构建一个异步的 REST API，应该如何配置中间件？"}]}
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{"status": "success", "index": 408, "source_record_id": "recheck.jsonl:697", "source_line": 404, "audio": "audio/passthrough__recheckjsonl697.wav", "scene": "passthrough", "language": "zh", "oral": "在 Python 中，如何使用 asyncio 库来并发处理多个 HTTP 请求以提高爬虫的效率？", "clean": "在 Python 中，如何使用 asyncio 库来并发处理多个 HTTP 请求以提高爬虫的效率？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“python”规范化成了“Python”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“python”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Python"}, {"id": "q002", "category": "format", "question": "output中是否将“asyncio”规范化成了“asyncio”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“asyncio”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "asyncio"}, {"id": "q003", "category": "format", "question": "output中是否将“http”规范化成了“HTTP”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“http”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "HTTP"}, {"id": "q004", "category": "content", "question": "output中是否存在“并发处理多个请求”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "并发处理多个 HTTP 请求"}, {"id": "q005", "category": "content", "question": "output中是否存在“提高爬虫的效率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "提高爬虫的效率"}]}
{"status": "success", "index": 409, "source_record_id": "recheck.jsonl:700", "source_line": 405, "audio": "audio/passthrough__recheckjsonl700.wav", "scene": "passthrough", "language": "zh", "oral": "关于这个分布式系统的共识算法，我认为 Raft 比 Paxos 更容易在实际工程中实现，因为它的领导者选举机制更清晰。", "clean": "关于这个分布式系统的共识算法，我认为 Raft 比 Paxos 更容易在实际工程中实现，因为它的领导者选举机制更清晰。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“分布式系统的共识算法”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "分布式系统的共识算法"}, {"id": "q002", "category": "content", "question": "output中是否存在“Raft 比 Paxos 更容易在实际工程中实现”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Raft 比 Paxos 更容易在实际工程中实现"}, {"id": "q003", "category": "content", "question": "output中是否存在“领导者选举机制更清晰”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "领导者选举机制更清晰"}, {"id": "q004", "category": "format", "question": "output中是否将专有名词拼写为“Raft”？", "options": [{"text": "拼写为“Raft”", "score": 1}, {"text": "拼写为“raft”或其他未大写形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Raft"}, {"id": "q005", "category": "format", "question": "output中是否将专有名词拼写为“Paxos”？", "options": [{"text": "拼写为“Paxos”", "score": 1}, {"text": "拼写为“paxos”或其他未大写形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Paxos"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "关于这个分布式系统的共识算法，我认为 Raft 比 Paxos 更容易在实际工程中实现，因为它的领导者选举机制更清晰。"}]}
{"status": "success", "index": 411, "source_record_id": "recheck.jsonl:709", "source_line": 411, "audio": "audio/vibe_coding__recheckjsonl709.wav", "scene": "vibe_coding", "language": "zh", "oral": "那个，如果咱们用 Tauri 把这个前端给包起来，然后把 hidden_dim 设成五百一十二，怎么说呢，要是咱们能把 Keras 那套逻辑迁移到 Julia 里面去，那我们就能把 alpha 参数调得更灵活一些。", "clean": "如果咱们用 Tauri 把前端给包起来，然后把 hidden_dim 设成 512，要是咱们能把 Keras 那套逻辑迁移到 Julia 里面去，那我们就能把 alpha 参数调得更灵活一些。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "那个，怎么说呢"}, {"id": "q002", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五百一十二 -> 512"}, {"id": "q003", "category": "content", "question": "output中是否存在“用 Tauri 把前端包起来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用 Tauri 把前端给包起来"}, {"id": "q004", "category": "content", "question": "output中是否存在“把 Keras 逻辑迁移到 Julia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把 Keras 那套逻辑迁移到 Julia 里面去"}, {"id": "q005", "category": "content", "question": "output中是否存在“把 alpha 参数调得更灵活”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把 alpha 参数调得更灵活一些"}]}
{"status": "success", "index": 410, "source_record_id": "recheck.jsonl:704", "source_line": 408, "audio": "audio/vibe_coding__recheckjsonl704.wav", "scene": "vibe_coding", "language": "zh", "oral": "帮我写个接口，嗯，与其用 Zustand 存状态，不如直接在 Nuxt 后端处理，感觉比 Tiptap 传参要快得多，我想用 LlamaIndex 挂个索引，哦不对，应该是用 Tauri 端的本地存储，这样性能更强吧。", "clean": "帮我写个接口，与其用 Zustand 存状态，不如直接在 Nuxt 后端处理，感觉比 Tiptap 传参要快得多，我想用 Tauri 端的本地存储，这样性能更强吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“帮我写个接口”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 帮我写个接口"}, {"id": "q002", "category": "format", "question": "output中是否将“zustand”规范化成了首字母大写的“Zustand”？", "options": [{"text": "进行了相同或合理的规范化，输出为Zustand", "score": 1}, {"text": "没有进行规范化但存在zustand或类似发音词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Zustand"}, {"id": "q003", "category": "content", "question": "output中是否保留了“存状态”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 存状态"}, {"id": "q004", "category": "format", "question": "output中是否将“nuxt”规范化成了首字母大写的“Nuxt”？", "options": [{"text": "进行了相同或合理的规范化，输出为Nuxt", "score": 1}, {"text": "没有进行规范化但存在nuxt或类似发音词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Nuxt"}, {"id": "q005", "category": "content", "question": "output中是否保留了“后端处理”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 后端处理"}, {"id": "q006", "category": "format", "question": "output中是否将“tiptap”规范化成了首字母大写的“Tiptap”？", "options": [{"text": "进行了相同或合理的规范化，输出为Tiptap", "score": 1}, {"text": "没有进行规范化但存在tiptap或类似发音词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Tiptap"}, {"id": "q007", "category": "content", "question": "output中是否保留了“传参”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 传参"}, {"id": "q008", "category": "content", "question": "output中是否保留了“要快得多”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 要快得多"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“我想用 LlamaIndex 挂个索引，哦不对，应该是用”处理成了“我想用”？", "options": [{"text": "进行了相同处理，保留了最终结果并删除了纠错过程", "score": 2}, {"text": "删除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: 我想用 LlamaIndex 挂个索引，哦不对，应该是用; clean: 我想用"}, {"id": "q011", "category": "format", "question": "output中是否将“tauri”规范化成了首字母大写的“Tauri”？", "options": [{"text": "进行了相同或合理的规范化，输出为Tauri", "score": 1}, {"text": "没有进行规范化但存在tauri或类似发音词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Tauri"}, {"id": "q012", "category": "content", "question": "output中是否保留了“本地存储”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 本地存储"}, {"id": "q013", "category": "content", "question": "output中是否保留了“性能更强”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 性能更强"}]}
{"status": "success", "index": 412, "source_record_id": "recheck.jsonl:706", "source_line": 409, "audio": "audio/vibe_coding__recheckjsonl706.wav", "scene": "vibe_coding", "language": "zh", "oral": "诶，你说这个 cache ttl 设置成六十秒会不会太短了？我想想啊，我现在是用 Julia 调 Scala 接口，结果发现 cache ttl 缓存失效太快，太快了，怎么说呢，我怀疑 Lua 脚本那边逻辑有问题，有问题，应该是把 TTL 读成毫秒吧。", "clean": "你说这个 cache_ttl 设置成60秒会不会太短了？我想想，我现在是用 Julia 调 Scala 接口，结果发现 cache_ttl 缓存失效太快，我怀疑 Lua 脚本那边逻辑有问题，应该是把 TTL 读成毫秒吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Julia 调 Scala 接口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我现在是用 Julia 调 Scala 接口"}, {"id": "q002", "category": "content", "question": "output中是否存在“Lua 脚本”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我怀疑 Lua 脚本那边逻辑有问题"}, {"id": "q003", "category": "format", "question": "output中是否将“cache ttl”规范化成了“cache_ttl”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“cache ttl”", "score": 0}, {"text": "不存在“cache ttl”或规范化错误", "score": -1}], "evidence": "oral: cache ttl -> clean: cache_ttl"}, {"id": "q004", "category": "format", "question": "output中是否将“六十秒”规范化成了“60秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六十秒”", "score": 0}, {"text": "不存在“六十秒”或规范化错误", "score": -1}], "evidence": "oral: 六十秒 -> clean: 60秒"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶， / 我想想啊， / 太快，太快了，怎么说呢， / 有问题，有问题，"}]}
{"status": "success", "index": 414, "source_record_id": "recheck.jsonl:702", "source_line": 407, "audio": "audio/vibe_coding__recheckjsonl702.wav", "scene": "vibe_coding", "language": "zh", "oral": "哎呀太夸张了，嗯，这段代码竟然在用 Elixir 处理数据，哦不是，是 Julia，怎么说呢，我明明配置了 Prisma 但现在一直报 ConnectionRefused，而且还跳出个 NullPointerException，你帮我看看怎么回事吧。", "clean": "太夸张了，这段代码竟然在用 Julia 处理数据，我明明配置了 Prisma 但现在一直报 ConnectionRefused，而且还跳出个 NullPointerException，你帮我看看怎么回事吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哎呀, 嗯, 怎么说呢"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Elixir处理数据，哦不是，是Julia”处理成了“Julia处理数据”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Elixir 处理数据，哦不是，是 Julia -> Julia 处理数据"}, {"id": "q003", "category": "content", "question": "output中是否存在“Prisma”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Prisma"}, {"id": "q004", "category": "content", "question": "output中是否存在“ConnectionRefused”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "ConnectionRefused"}, {"id": "q005", "category": "content", "question": "output中是否存在“NullPointerException”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "NullPointerException"}, {"id": "q006", "category": "content", "question": "output中是否存在“太夸张了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "太夸张了"}]}
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{"status": "success", "index": 418, "source_record_id": "recheck.jsonl:719", "source_line": 417, "audio": "audio/vibe_coding__recheckjsonl719.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，先是我想在 HuggingFace 上拉个模型，然后用 Julia 跑了一下 beta2 版本，就是 compression ratio 设成了百分之零点五，不对，应该是百分之零点八，最后在 Kotlin 这一层报错了呀。", "clean": "我想在 HuggingFace 上拉个模型，然后用 Julia 跑了一下 beta2 版本，compression_ratio 设成了 0.8%，最后在 Kotlin 这一层报错了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“拉个模型”或“拉取模型”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 拉个模型"}, {"id": "q002", "category": "content", "question": "output中是否存在“跑了一下”或“运行了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 跑了一下"}, {"id": "q003", "category": "content", "question": "output中是否存在“报错了”或“出现错误”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 报错了"}, {"id": "q004", "category": "format", "question": "output中是否将“hugging face”或类似发音规范化成了“HuggingFace”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: HuggingFace"}, {"id": "q005", "category": "format", "question": "output中是否将“julia”或类似发音规范化成了首字母大写的“Julia”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Julia"}, {"id": "q006", "category": "format", "question": "output中是否将“beta 2”或类似发音规范化成了“beta2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: beta2"}, {"id": "q007", "category": "format", "question": "output中是否将“compression ratio”规范化成了带下划线的“compression_ratio”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: compression_ratio"}, {"id": "q008", "category": "format", "question": "output中是否将“百分之零点八”规范化成了“0.8%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: 0.8%"}, {"id": "q009", "category": "format", "question": "output中是否将“kotlin”或类似发音规范化成了首字母大写的“Kotlin”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或类似发音", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Kotlin"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，先是...就是...不对，应该是...呀"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“百分之零点五，不对，应该是百分之零点八”处理成了最终结果“0.8%”或“百分之零点八”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 设成了百分之零点五，不对，应该是百分之零点八 / clean: 设成了 0.8%"}]}
{"status": "success", "index": 419, "source_record_id": "recheck.jsonl:718", "source_line": 416, "audio": "audio/vibe_coding__recheckjsonl718.wav", "scene": "vibe_coding", "language": "zh", "oral": "对了，我觉得我觉得这个 Drizzle 适配得不太好，嗯，要是把……怎么说呢，把 compression ratio 调到零点五，不对，是零点八，应该能优化性能，话说咱们这个 Mistral 模型，模型是用 Xformers 跑，跑在 Prisma 上吧？", "clean": "我觉得 Drizzle 适配得不太好，要是把 compression_ratio 调到 0.8，应该能优化性能。话说咱们这个 Mistral 模型是用 Xformers 跑在 Prisma 上吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Drizzle 适配得不太好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我觉得 Drizzle 适配得不太好"}, {"id": "q002", "category": "format", "question": "output中是否将“compression ratio”规范化成了“compression_ratio”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“compression ratio”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: compression ratio, clean: compression_ratio"}, {"id": "q003", "category": "format", "question": "output中是否将“零点八”规范化成了“0.8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“零点八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 零点八, clean: 0.8"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我觉得我觉得, 嗯, 怎么说呢, 模型，模型, 跑，跑"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“零点五，不对，是零点八”处理成了“0.8”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 零点五，不对，是零点八, clean: 0.8"}, {"id": "q006", "category": "content", "question": "output中是否保留了“优化性能”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 应该能优化性能"}, {"id": "q007", "category": "content", "question": "output中是否保留了“Mistral 模型是用 Xformers 跑在 Prisma 上吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Mistral 模型是用 Xformers 跑在 Prisma 上吧？"}]}
{"status": "success", "index": 420, "source_record_id": "recheck.jsonl:715", "source_line": 415, "audio": "audio/vibe_coding__recheckjsonl715.wav", "scene": "vibe_coding", "language": "zh", "oral": "诶，你说把这个 Elixir 逻辑迁移到 Zig 能不能解决内存碎片问题？我想想啊，我现在的内存占用到了八百兆，不对，是六百四十兆，我觉得这个迁移，迁移到 Zig 应该能优化，能优化掉很多冗余，反正 Vercel 那边部署也支持，应该可以吧。", "clean": "你说把 Elixir 逻辑迁移到 Zig 能不能解决内存碎片问题？我现在的内存占用到了640MB，我觉得迁移到 Zig 应该能优化掉很多冗余，反正 Vercel 那边部署也支持，应该可以吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“内存碎片问题”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "内存碎片问题"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Elixir 逻辑”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Elixir 逻辑"}, {"id": "q003", "category": "content", "question": "output中是否保留了“优化掉很多冗余”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "优化掉很多冗余"}, {"id": "q004", "category": "content", "question": "output中是否保留了“Vercel 那边部署”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Vercel 那边部署"}, {"id": "q005", "category": "format", "question": "output中是否将“Elixir”规范化为首字母大写形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Elixir"}, {"id": "q006", "category": "format", "question": "output中是否将“Zig”规范化为首字母大写形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Zig"}, {"id": "q007", "category": "format", "question": "output中是否将“Vercel”规范化为首字母大写形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Vercel"}, {"id": "q008", "category": "format", "question": "output中是否将“六百四十兆”规范化成了“640MB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六百四十兆”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "六百四十兆 -> 640MB"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词（如“诶”、“我想想啊”），或重复词语情况（如“迁移，迁移”、“优化，能优化”）？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，我想想啊，迁移，迁移，优化，能优化"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“八百兆，不对，是六百四十兆”处理成了“640MB”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "八百兆，不对，是六百四十兆 -> 640MB"}]}
{"status": "success", "index": 422, "source_record_id": "recheck.jsonl:722", "source_line": 420, "audio": "audio/vibe_coding__recheckjsonl722.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，如果 timeout ms 设成五千毫秒的话，那我们就能排除掉，排除掉网络抖动问题，我想想啊，要是后端用 Scala 写的…不对，应该是用 Haskell 写的，那逻辑层可能哈，可能就卡在内存回收那块吧。", "clean": "如果 timeout_ms 设成5000毫秒的话，那我们就能排除掉网络抖动问题。要是后端用 Haskell 写的，那逻辑层可能就卡在内存回收那块吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“网络抖动问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 排除掉网络抖动问题"}, {"id": "q002", "category": "content", "question": "output中是否存在“内存回收”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 卡在内存回收那块吧"}, {"id": "q003", "category": "format", "question": "output中是否将“timeout ms”写成了“timeout_ms”？", "options": [{"text": "写成了“timeout_ms”", "score": 1}, {"text": "没写成“timeout_ms”但存在“timeout ms”", "score": 0}, {"text": "不存在该词或写成了其他形式", "score": -1}], "evidence": "oral: timeout ms; clean: timeout_ms"}, {"id": "q004", "category": "format", "question": "output中是否将“五千”写成了“5000”？", "options": [{"text": "写成了“5000”", "score": 1}, {"text": "没写成“5000”但存在“五千”", "score": 0}, {"text": "不存在该词或写成了其他形式", "score": -1}], "evidence": "oral: 五千; clean: 5000"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 排除掉，排除掉, 我想想啊, 可能哈，可能就"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“用 Scala 写的…不对，应该是用 Haskell 写的”处理成了“用 Haskell 写的”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 用 Scala 写的…不对，应该是用 Haskell 写的; clean: 用 Haskell 写的"}]}
{"status": "success", "index": 425, "source_record_id": "recheck.jsonl:732", "source_line": 425, "audio": "audio/vibe_coding__recheckjsonl732.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，帮我把这个 query 换成 index seek 吧，怎么说呢，现在这个 query plan 跑出来是 index scan，导致在三千五百毫秒左右才返回，得优化一下得太慢了哈。", "clean": "帮我把这个 query 换成 index seek 吧，现在这个 query plan 跑出来是 index scan，导致在 3500 毫秒左右才返回，得优化一下，太慢了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，怎么说呢，哈"}, {"id": "q002", "category": "format", "question": "output中是否将“三千五百毫秒”规范化成了“3500毫秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百毫秒”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "三千五百毫秒 -> 3500 毫秒"}, {"id": "q003", "category": "content", "question": "output中是否存在“把query换成index seek”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把 query 换成 index seek"}, {"id": "q004", "category": "content", "question": "output中是否存在“query plan跑出来是index scan”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "query plan 跑出来是 index scan"}, {"id": "q005", "category": "content", "question": "output中是否存在“得优化一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "得优化一下"}]}
{"status": "success", "index": 424, "source_record_id": "recheck.jsonl:723", "source_line": 421, "audio": "audio/vibe_coding__recheckjsonl723.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯, 如果这块内存泄漏在 Zustand 状态管理里, 那我们就能快速定位, 怎么说呢, 只要把 tRPC 的那个接口超时时间改成五秒, 哦不是, 三秒, 应该就能排查出问题吧。", "clean": "如果这块内存泄漏在 Zustand 状态管理里，那我们就能快速定位，只要把 tRPC 的接口超时时间改成3秒，应该就能排查出问题吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“内存泄漏”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "内存泄漏"}, {"id": "q002", "category": "content", "question": "output中是否存在“快速定位”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "快速定位"}, {"id": "q003", "category": "content", "question": "output中是否存在“接口超时时间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "接口超时时间"}, {"id": "q004", "category": "content", "question": "output中是否存在“排查出问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "排查出问题"}, {"id": "q005", "category": "format", "question": "output中是否将状态管理库名称拼写为“Zustand”？", "options": [{"text": "拼写为“Zustand”", "score": 1}, {"text": "拼写为“zustand”或其他未正确大小写形式", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "Zustand"}, {"id": "q006", "category": "format", "question": "output中是否将接口框架名称拼写为“tRPC”？", "options": [{"text": "拼写为“tRPC”", "score": 1}, {"text": "拼写为“trpc”或其他未正确大小写形式", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "tRPC"}, {"id": "q007", "category": "format", "question": "output中是否将“三秒”规范化成了“3秒”？", "options": [{"text": "规范化为“3秒”", "score": 1}, {"text": "未规范化仍为“三秒”", "score": 0}, {"text": "不存在该时间或错误", "score": -1}], "evidence": "三秒 -> 3秒"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 怎么说呢, 哦不是"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“五秒，哦不是，三秒”处理成了“3秒”或“三秒”？", "options": [{"text": "保留了最终结果“3秒”或“三秒”并去除了纠错过程", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了“五秒，哦不是，三秒”等纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "五秒, 哦不是, 三秒 -> 3秒"}]}
{"status": "success", "index": 423, "source_record_id": "recheck.jsonl:721", "source_line": 419, "audio": "audio/vibe_coding__recheckjsonl721.wav", "scene": "vibe_coding", "language": "zh", "oral": "哦对了,帮我写个正则表达式,要把 DeepSpeed 里面那段 Pydantic 校验逻辑,校验逻辑给提取出来,对了,要把那个 Olive 框架, Olive 框架里定义的一百二十八位长度字符串给匹配到,哎不对,应该是两百五十六位,你得帮我兼容下 Xformers 那个配置项,配置项得支持 Elixir 这种格式,懂我意思吧?", "clean": "帮我写个正则表达式，要把 DeepSpeed 里面那段 Pydantic 校验逻辑提取出来，要把 Olive 框架里定义的 256 位长度字符串给匹配到，你得帮我兼容下 Xformers 那个配置项，配置项得支持 Elixir 这种格式，懂我意思吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哦对了, 校验逻辑,校验逻辑, 对了, Olive 框架, Olive 框架, 配置项,配置项"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“一百二十八位...哎不对,应该是两百五十六位”处理成了“256位”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "一百二十八位长度字符串给匹配到,哎不对,应该是两百五十六位"}, {"id": "q003", "category": "format", "question": "output中是否将“两百五十六位”规范化成了“256位”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两百五十六位”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "两百五十六位"}, {"id": "q004", "category": "format", "question": "output中是否将“deepspeed”、“pydantic”、“olive”、“xformers”、“elixir”规范化成了正确的大小写“DeepSpeed”、“Pydantic”、“Olive”、“Xformers”、“Elixir”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在这些词", "score": 0}, {"text": "不存在这些词或规范化结果", "score": -1}], "evidence": "DeepSpeed, Pydantic, Olive, Xformers, Elixir"}, {"id": "q005", "category": "content", "question": "output中是否存在“正则表达式”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "正则表达式"}, {"id": "q006", "category": "content", "question": "output中是否存在“校验逻辑提取出来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "校验逻辑提取出来"}, {"id": "q007", "category": "content", "question": "output中是否存在“长度字符串给匹配到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "长度字符串给匹配到"}, {"id": "q008", "category": "content", "question": "output中是否存在“兼容下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "兼容下"}, {"id": "q009", "category": "content", "question": "output中是否存在“懂我意思吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "懂我意思吧"}]}
{"status": "success", "index": 428, "source_record_id": "recheck.jsonl:734", "source_line": 427, "audio": "audio/vibe_coding__recheckjsonl734.wav", "scene": "vibe_coding", "language": "zh", "oral": "帮我把这段 Python 代码，翻译成 Java，哦不是，是 Go 语言，把那个 list 转换成 slice 就行。", "clean": "帮我把这段 Python 代码翻译成 Go 语言，把 list 转换成 slice 就行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Python 代码”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我把这段 Python 代码翻译成 Go 语言"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“翻译成 Java，哦不是，是 Go 语言”处理成了“翻译成 Go 语言”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 翻译成 Java，哦不是，是 Go 语言; clean: 翻译成 Go 语言"}, {"id": "q003", "category": "content", "question": "output中是否存在“list 转换成 slice”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把 list 转换成 slice 就行"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦不是，那个"}]}
{"status": "success", "index": 426, "source_record_id": "recheck.jsonl:725", "source_line": 422, "audio": "audio/vibe_coding__recheckjsonl725.wav", "scene": "vibe_coding", "language": "zh", "oral": "你说用 Ollama 跑那个 Olive 优化过模型能不能配 Drizzle？嗯，我想想，把 lora rank 设成六十四，batch_size 调到三十二，不对，应该是十六，应该没问题吧。", "clean": "你说用 Ollama 跑 Olive 优化过模型能不能配 Drizzle？我想想，把 lora_rank 设成64，batch_size 调到16，应该没问题吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Ollama”、“Olive”和“Drizzle”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Ollama, Olive, Drizzle"}, {"id": "q002", "category": "content", "question": "output中是否保留了“batch_size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "batch_size"}, {"id": "q003", "category": "format", "question": "output中是否将“lora rank”规范化成了“lora_rank”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“lora rank”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "lora rank -> lora_rank"}, {"id": "q004", "category": "format", "question": "output中是否将“六十四”规范化成了“64”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六十四”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "六十四 -> 64"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "那个, 嗯"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“三十二，不对，应该是十六”处理成了“16”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "三十二，不对，应该是十六 -> 16"}]}
{"status": "success", "index": 427, "source_record_id": "recheck.jsonl:729", "source_line": 423, "audio": "audio/vibe_coding__recheckjsonl729.wav", "scene": "vibe_coding", "language": "zh", "oral": "助手，我想在用 Dart 和 XState 写的状态机里优化下 Drizzle 的查询，现在频繁报 IndexOutOfBounds 还有 ConnectionTimeout，帮我看看怎么调。", "clean": "助手，我想在用 Dart 和 XState 写的状态机里优化下 Drizzle 的查询，现在频繁报 IndexOutOfBounds 还有 ConnectionTimeout，帮我看看怎么调。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Dart”规范化为首字母大写的“Dart”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dart”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Dart"}, {"id": "q002", "category": "format", "question": "output中是否将“XState”规范化为首字母大写的“XState”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“xstate”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "XState"}, {"id": "q003", "category": "format", "question": "output中是否将“Drizzle”规范化为首字母大写的“Drizzle”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“drizzle”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Drizzle"}, {"id": "q004", "category": "format", "question": "output中是否将“IndexOutOfBounds”规范化为驼峰命名的“IndexOutOfBounds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“indexoutofbounds”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "IndexOutOfBounds"}, {"id": "q005", "category": "format", "question": "output中是否将“ConnectionTimeout”规范化为驼峰命名的“ConnectionTimeout”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“connectiontimeout”等大小写错误形式", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ConnectionTimeout"}, {"id": "q006", "category": "content", "question": "output中是否存在“状态机”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "状态机"}, {"id": "q007", "category": "content", "question": "output中是否存在“优化”和“查询”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "优化下 Drizzle 的查询"}, {"id": "q008", "category": "content", "question": "output中是否存在“频繁报”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "频繁报"}, {"id": "q009", "category": "content", "question": "output中是否存在“帮我看看怎么调”或“帮我看看怎么调试”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "帮我看看怎么调"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "助手，我想在用 Dart 和 XState 写的状态机里优化下 Drizzle 的查询，现在频繁报 IndexOutOfBounds 还有 ConnectionTimeout，帮我看看怎么调。"}]}
{"status": "success", "index": 429, "source_record_id": "recheck.jsonl:731", "source_line": 424, "audio": "audio/vibe_coding__recheckjsonl731.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，你帮我把 Docker 镜像重新打一遍，因为我想想啊，我想想啊，我得把 Dart 加上 Lua 还有 Solidity 全给打包进去，就是，为了确保环境一致，那个……把 Ollama 端口改成，改成一万一千零一号，诶，对了，应该是十一千一百一十一号吧。", "clean": "你帮我把 Docker 镜像重新打一遍，我得把 Dart 加上 Lua 还有 Solidity 全给打包进去，为了确保环境一致，把 Ollama 端口改成 11111 号。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，因为我想想啊，我想想啊，就是，那个……，诶，对了"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“一万一千零一号，诶，对了，应该是十一千一百一十一号吧”处理成了“11111”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 一万一千零一号，诶，对了，应该是十一千一百一十一号吧; clean: 11111"}, {"id": "q003", "category": "format", "question": "output中是否将“Docker”、“Dart”、“Lua”、“Solidity”、“Ollama”等英文专有名词保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但拼写正确", "score": 0}, {"text": "拼写错误或缺失", "score": -1}], "evidence": "clean: Docker, Dart, Lua, Solidity, Ollama"}, {"id": "q004", "category": "content", "question": "output中是否存在“Docker 镜像重新打一遍”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Docker 镜像重新打一遍"}, {"id": "q005", "category": "content", "question": "output中是否存在“Dart 加上 Lua 还有 Solidity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Dart 加上 Lua 还有 Solidity"}, {"id": "q006", "category": "content", "question": "output中是否存在“确保环境一致”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 确保环境一致"}]}
{"status": "success", "index": 431, "source_record_id": "recheck.jsonl:737", "source_line": 429, "audio": "audio/vibe_coding__recheckjsonl737.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，之前写的那个 Modal 组件，Modal 组件逻辑有点乱，怎么说呢，我想把 z index 改成九百九十九，改成九百九十九吧。", "clean": "之前写的那个 Modal 组件逻辑有点乱，我想把 z-index 改成 999。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，Modal 组件，Modal 组件，怎么说呢，改成九百九十九，改成九百九十九吧"}, {"id": "q002", "category": "format", "question": "output中是否将“z index”规范化成了“z-index”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“z index”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "z index -> z-index"}, {"id": "q003", "category": "format", "question": "output中是否将“九百九十九”规范化成了“999”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“九百九十九”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "九百九十九 -> 999"}, {"id": "q004", "category": "content", "question": "output中是否存在“Modal 组件”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Modal 组件"}, {"id": "q005", "category": "content", "question": "output中是否存在“逻辑有点乱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "逻辑有点乱"}, {"id": "q006", "category": "content", "question": "output中是否存在“我想把”和“改成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我想把，改成"}]}
{"status": "success", "index": 433, "source_record_id": "recheck.jsonl:741", "source_line": 432, "audio": "audio/vibe_coding__recheckjsonl741.wav", "scene": "vibe_coding", "language": "zh", "oral": "对了，那个…把…把 batch size 改成八", "clean": "把batch size改成8", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“batch size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: batch size"}, {"id": "q002", "category": "content", "question": "output中是否存在“改成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 改成"}, {"id": "q003", "category": "format", "question": "output中是否将“八”规范化成了“8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 八, clean: 8"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了，那个…把…把"}]}
{"status": "success", "index": 432, "source_record_id": "recheck.jsonl:740", "source_line": 431, "audio": "audio/vibe_coding__recheckjsonl740.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，我现在的索引索引优化是这样，把那个 B tree 换成 Hash 索引，哦不是，应该是覆盖索引，覆盖索引这样能快一点吧，你觉得呢？", "clean": "我现在的索引优化是这样，把 B-tree 换成覆盖索引，这样能快一点吧，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，索引索引，那个，覆盖索引，覆盖索引"}, {"id": "q002", "category": "format", "question": "output中是否将“B tree”规范化成了“B-tree”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“B tree”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "B tree -> B-tree"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Hash 索引，哦不是，应该是覆盖索引”处理成了“覆盖索引”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Hash 索引，哦不是，应该是覆盖索引 -> 覆盖索引"}, {"id": "q004", "category": "content", "question": "output中是否存在“索引优化”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "索引优化"}, {"id": "q005", "category": "content", "question": "output中是否存在“换成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "换成"}, {"id": "q006", "category": "content", "question": "output中是否存在“这样能快一点吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这样能快一点吧"}, {"id": "q007", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你觉得呢"}]}
{"status": "success", "index": 434, "source_record_id": "recheck.jsonl:736", "source_line": 428, "audio": "audio/vibe_coding__recheckjsonl736.wav", "scene": "vibe_coding", "language": "zh", "oral": "帮我写个数据迁移脚本，先是把旧库里版本一点零的数据全部导出，导出到临时表，然后检查一下字段，只要状态不等于零且等级大于等于五的记录才迁移，迁移这些记录，最后用C加加写个校验逻辑，调用那个双冒号后面的静态方法核对一遍，核对一遍总数对不对。", "clean": "帮我写个数据迁移脚本：\n1. 把旧库里v1.0的数据全部导出到临时表\n2. 检查一下字段，只要状态!=0且等级>=5的记录才迁移\n3. 用C++写个校验逻辑，调用双冒号后面的静态方法核对一遍总数对不对", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“临时表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 导出到临时表"}, {"id": "q002", "category": "content", "question": "output中是否存在“静态方法”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 调用双冒号后面的静态方法"}, {"id": "q003", "category": "format", "question": "output中是否将“版本一点零”规范化成了“v1.0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“版本一点零”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 版本一点零, clean: v1.0"}, {"id": "q004", "category": "format", "question": "output中是否将“状态不等于零且等级大于等于五”规范化成了“状态!=0且等级>=5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“状态不等于零且等级大于等于五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 状态不等于零且等级大于等于五, clean: 状态!=0且等级>=5"}, {"id": "q005", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: C加加, clean: C++"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 导出，导出 / 迁移，迁移 / 核对一遍，核对一遍"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“导出，导出到临时表”处理成了“导出到临时表”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 导出，导出到临时表, clean: 导出到临时表"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“才迁移，迁移这些记录”处理成了“才迁移”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 才迁移，迁移这些记录, clean: 才迁移"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“核对一遍，核对一遍”处理成了“核对一遍”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 核对一遍，核对一遍, clean: 核对一遍"}]}
{"status": "success", "index": 437, "source_record_id": "recheck.jsonl:743", "source_line": 434, "audio": "audio/vibe_coding__recheckjsonl743.wav", "scene": "vibe_coding", "language": "zh", "oral": "对了，帮我写个 Regex 匹配那个 email，嗯，长度得大于等于十个字符，不对，应该是八个字符吧，得支持那种带点号的域名。", "clean": "帮我写个 Regex 匹配 email，长度得 >= 8 个字符，得支持那种带点号的域名。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Regex”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 帮我写个 Regex; clean: 帮我写个 Regex"}, {"id": "q002", "category": "content", "question": "output中是否保留了“email”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 匹配那个 email; clean: 匹配 email"}, {"id": "q003", "category": "content", "question": "output中是否保留了“带点号的域名”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 得支持那种带点号的域名; clean: 得支持那种带点号的域名"}, {"id": "q004", "category": "format", "question": "output中是否将“大于等于”规范化成了“>=”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“大于等于”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 长度得大于等于; clean: 长度得 >="}, {"id": "q005", "category": "format", "question": "output中是否将“八个”规范化成了“8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 应该是八个字符吧; clean: 长度得 >= 8 个字符"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 对了...那个...嗯...吧; clean: 无"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“十个字符，不对，应该是八个字符”处理成了“8个字符”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 长度得大于等于十个字符，不对，应该是八个字符吧; clean: 长度得 >= 8 个字符"}]}
{"status": "success", "index": 438, "source_record_id": "recheck.jsonl:747", "source_line": 436, "audio": "audio/vibe_coding__recheckjsonl747.wav", "scene": "vibe_coding", "language": "zh", "oral": "写个v一点二，不对，v一点三 API？行吧。", "clean": "写个v1.3 API？行吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“写个”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"写个\""}, {"id": "q002", "category": "format", "question": "output中是否将“一点三”规范化成了“1.3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一点三”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"一点三\", clean: \"1.3\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“v一点二，不对，v一点三”处理成了“v1.3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"v一点二，不对，v一点三\", clean: \"v1.3\""}, {"id": "q004", "category": "content", "question": "output中是否存在“API”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"API\""}, {"id": "q005", "category": "content", "question": "output中是否存在“行吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"行吧\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"写个v一点二，不对，v一点三 API？行吧。\""}]}
{"status": "success", "index": 440, "source_record_id": "recheck.jsonl:759", "source_line": 442, "audio": "audio/vibe_coding__recheckjsonl759.wav", "scene": "vibe_coding", "language": "zh", "oral": "正则正则…写个正则…匹配不等于零，你觉得呢？", "clean": "写个正则匹配!=0，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“写个正则”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"写个正则\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“匹配”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"匹配\""}, {"id": "q003", "category": "format", "question": "output中是否将“不等于零”规范化成了“!=0”？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“不等于零”(0)", "不存在“!=0”或“不等于零”(-1)"], "evidence": "oral: \"不等于零\", clean: \"!=0\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“你觉得呢”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"你觉得呢？\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: \"正则正则…写个正则…\""}]}
{"status": "success", "index": 442, "source_record_id": "recheck.jsonl:753", "source_line": 438, "audio": "audio/vibe_coding__recheckjsonl753.wav", "scene": "vibe_coding", "language": "zh", "oral": "你帮我弄下CI CD流水线，先是触发Git push，触发Git push之后跑单元测试，然后把镜像推到Docker hub，推到Docker hub，最后部署到k8s集群。", "clean": "你帮我弄下CI/CD流水线：\n1. 触发Git push\n2. 跑单元测试\n3. 把镜像推到Docker Hub\n4. 部署到K8s集群", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“单元测试”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 跑单元测试"}, {"id": "q002", "category": "content", "question": "output中是否存在“镜像”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把镜像推到Docker Hub"}, {"id": "q003", "category": "format", "question": "output中是否将“CI CD”规范化成了“CI/CD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“CI CD”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: CI CD, clean: CI/CD"}, {"id": "q004", "category": "format", "question": "output中是否将“Docker hub”规范化成了“Docker Hub”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Docker hub”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Docker hub, clean: Docker Hub"}, {"id": "q005", "category": "format", "question": "output中是否将“k8s”规范化成了“K8s”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“k8s”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: k8s, clean: K8s"}, {"id": "q006", "category": "format", "question": "output中是否将步骤规范化成了带数字序号的列表格式（如“1. 2. 3. 4.”）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在步骤内容", "score": 0}, {"text": "不存在步骤内容或规范化结果", "score": -1}], "evidence": "clean: 1. 触发Git push\\n2. 跑单元测试\\n3. 把镜像推到Docker Hub\\n4. 部署到K8s集群"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 先是...触发Git push之后...然后把...推到Docker hub，推到Docker hub，最后..."}, {"id": "q008", "category": "rephrase", "question": "output中是否将“先是触发Git push，触发Git push之后”处理成了“触发Git push”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 先是触发Git push，触发Git push之后, clean: 触发Git push"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“然后把镜像推到Docker hub，推到Docker hub”处理成了“把镜像推到Docker Hub”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 然后把镜像推到Docker hub，推到Docker hub, clean: 把镜像推到Docker Hub"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“最后部署到k8s集群”处理成了“部署到K8s集群”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 最后部署到k8s集群, clean: 部署到K8s集群"}]}
{"status": "success", "index": 439, "source_record_id": "recheck.jsonl:745", "source_line": 435, "audio": "audio/vibe_coding__recheckjsonl745.wav", "scene": "vibe_coding", "language": "zh", "oral": "我那个Docker镜像现在在跑v一点二，啊不对，是v一点五，我想把那个...呃...怎么说呢，把端口映射改成八千零八十二，不对，是八千零八十", "clean": "我Docker镜像现在在跑v1.5，我想把端口映射改成8080", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“端口映射”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"我想把端口映射改成8080\""}, {"id": "q002", "category": "content", "question": "output中是否存在“镜像”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Docker镜像\""}, {"id": "q003", "category": "format", "question": "output中是否将“docker”规范化成了首字母大写的“Docker”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“docker”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Docker\", clean: \"Docker\""}, {"id": "q004", "category": "format", "question": "output中是否将“v一点五”规范化成了“v1.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“v一点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"v一点五\", clean: \"v1.5\""}, {"id": "q005", "category": "format", "question": "output中是否将“八千零八十”规范化成了“8080”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八千零八十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"八千零八十\", clean: \"8080\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"那个...呃...怎么说呢\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“v一点二，啊不对，是v一点五”处理成了“v1.5”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"v一点二，啊不对，是v一点五\", clean: \"v1.5\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“八千零八十二，不对，是八千零八十”处理成了“8080”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"八千零八十二，不对，是八千零八十\", clean: \"8080\""}]}
{"status": "success", "index": 443, "source_record_id": "recheck.jsonl:749", "source_line": 437, "audio": "audio/vibe_coding__recheckjsonl749.wav", "scene": "vibe_coding", "language": "zh", "oral": "说白了，我想想啊，这段逻辑逻辑太冗余，帮我把这个 loop 循环，循环改成 map 映射，把时间复杂度降到 O 1。", "clean": "说白了，这段逻辑太冗余，帮我把这个 loop 循环改成 map 映射，把时间复杂度降到 O(1)。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我想想啊，逻辑逻辑，循环，循环"}, {"id": "q002", "category": "format", "question": "output中是否将“O 1”规范化成了“O(1)”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“O 1”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "O 1 -> O(1)"}, {"id": "q003", "category": "content", "question": "output中是否存在“说白了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "说白了"}, {"id": "q004", "category": "content", "question": "output中是否存在“这段逻辑太冗余”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这段逻辑太冗余"}, {"id": "q005", "category": "content", "question": "output中是否存在“loop 循环改成 map 映射”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "loop 循环改成 map 映射"}, {"id": "q006", "category": "content", "question": "output中是否存在“把时间复杂度降到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把时间复杂度降到"}]}
{"status": "success", "index": 445, "source_record_id": "recheck.jsonl:754", "source_line": 439, "audio": "audio/vibe_coding__recheckjsonl754.wav", "scene": "vibe_coding", "language": "zh", "oral": "论文里说要把 learning rate 设成 0.01，不对，是 0.001。我觉得这太保守，咱们能不能...呃...怎么说呢...直接用 C加加 写个 loop，判断 loss 大于等于 0.5 就跳出", "clean": "论文里说要把 learning rate 设成 0.001。我觉得这太保守，咱们能不能直接用 C++ 写个 loop，判断 loss >= 0.5 就跳出", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“设成0.01，不对，是0.001”处理成了“设成0.001”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 设成 0.01，不对，是 0.001 | clean: 设成 0.001"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 能不能...呃...怎么说呢...直接 | clean: 能不能直接"}, {"id": "q003", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: C加加 | clean: C++"}, {"id": "q004", "category": "format", "question": "output中是否将“大于等于”规范化成了“>=”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“大于等于”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 大于等于 | clean: >="}, {"id": "q005", "category": "content", "question": "output中是否存在“learning rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: learning rate"}, {"id": "q006", "category": "content", "question": "output中是否存在“loop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: loop"}, {"id": "q007", "category": "content", "question": "output中是否存在“loss”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: loss"}, {"id": "q008", "category": "content", "question": "output中是否存在“0.5”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 0.5"}]}
{"status": "success", "index": 446, "source_record_id": "recheck.jsonl:761", "source_line": 444, "audio": "audio/vibe_coding__recheckjsonl761.wav", "scene": "vibe_coding", "language": "zh", "oral": "说白了，帮我写个 regex，匹配那个长度大于五位，不对，大于八位，且不包含感叹号等于号 这种特殊字符 字符串", "clean": "说白了，帮我写个regex，匹配长度大于8位，且不包含!=这种特殊字符的字符串", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“regex”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '帮我写个regex' / oral: '帮我写个 regex'"}, {"id": "q002", "category": "content", "question": "output中是否存在“字符串”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '的字符串' / oral: '字符串'"}, {"id": "q003", "category": "format", "question": "output中是否将“感叹号等于号”规范化成了“!=”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“感叹号等于号”", "score": 0}, {"text": "不存在“!=”或“感叹号等于号”", "score": -1}], "evidence": "clean: '不包含!=' / oral: '不包含感叹号等于号'"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '匹配那个长度' / clean: '匹配长度'"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“大于五位，不对，大于八位”处理成了“大于8位”或“大于八位”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有“大于8位”或“大于八位”", "score": -1}], "evidence": "clean: '大于8位' / oral: '大于五位，不对，大于八位'"}]}
{"status": "success", "index": 444, "source_record_id": "recheck.jsonl:757", "source_line": 441, "audio": "audio/vibe_coding__recheckjsonl757.wav", "scene": "vibe_coding", "language": "zh", "oral": "哦对了，帮我看看这段C加加代码在干嘛，那个if判断里是不是写成x大于等于五了，不对，应该是感叹号等于零，那个箭头指向哪个member我不清楚。", "clean": "帮我看看这段C++代码在干嘛，if判断里是不是写成x!=0了，箭头指向哪个member我不清楚。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将\"C加加\"规范化成了\"C++\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"C加加\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"C加加代码\", clean: \"C++代码\""}, {"id": "q002", "category": "format", "question": "output中是否将\"感叹号等于零\"规范化成了\"!=0\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"感叹号等于零\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"感叹号等于零\", clean: \"!=0\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"哦对了\", \"那个\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将\"x大于等于五了，不对，应该是感叹号等于零\"处理成了\"x!=0\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"x大于等于五了，不对，应该是感叹号等于零\", clean: \"x!=0了\""}, {"id": "q005", "category": "content", "question": "output中是否存在\"帮我看看这段代码在干嘛\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"帮我看看这段C++代码在干嘛\""}, {"id": "q006", "category": "content", "question": "output中是否存在\"箭头指向哪个member我不清楚\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"箭头指向哪个member我不清楚\""}]}
{"status": "success", "index": 448, "source_record_id": "recheck.jsonl:760", "source_line": 443, "audio": "audio/vibe_coding__recheckjsonl760.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，如果把这个 API 接口改成 POST，啊不，是 PUT，那我们就能，就是，直接更新数据库里那三千五百条记录吧。", "clean": "如果把这个API接口改成PUT，那我们就能直接更新数据库里那3500条记录吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“API接口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: API接口"}, {"id": "q002", "category": "content", "question": "output中是否存在“直接更新数据库”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接更新数据库"}, {"id": "q003", "category": "content", "question": "output中是否存在“记录”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 记录"}, {"id": "q004", "category": "format", "question": "output中是否将“三千五百”规范化成了“3500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百”", "score": 0}, {"text": "不存在“3500”或“三千五百”", "score": -1}], "evidence": "oral: 三千五百, clean: 3500"}, {"id": "q005", "category": "format", "question": "output中是否将“API”保持为大写字母形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在小写形式“api”", "score": 0}, {"text": "不存在“API”或大小写错误", "score": -1}], "evidence": "oral: API, clean: API"}, {"id": "q006", "category": "format", "question": "output中是否将“PUT”保持为大写字母形式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在小写形式“put”", "score": 0}, {"text": "不存在“PUT”或大小写错误", "score": -1}], "evidence": "oral: PUT, clean: PUT"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 啊不, 就是"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“POST，啊不，是 PUT”处理成了“PUT”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: POST，啊不，是 PUT, clean: PUT"}]}
{"status": "success", "index": 450, "source_record_id": "recheck.jsonl:763", "source_line": 446, "audio": "audio/vibe_coding__recheckjsonl763.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，组长说这个接口得覆盖边界值，我觉得我觉得得写个 unit test，就是把输入设成十个，哦不是，设成一百个吧，哈。", "clean": "组长说这个接口得覆盖边界值，我觉得得写个 unit test，把输入设成100个。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“unit test”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: unit test"}, {"id": "q002", "category": "format", "question": "output中是否将“一百个”规范化成了“100个”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一百个”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 一百个, clean: 100个"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 我觉得我觉得, 哈"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“把输入设成十个，哦不是，设成一百个吧”处理成了“把输入设成100个”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 把输入设成十个，哦不是，设成一百个吧, clean: 把输入设成100个"}, {"id": "q005", "category": "content", "question": "output中是否存在“覆盖边界值”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 覆盖边界值"}]}
{"status": "success", "index": 449, "source_record_id": "recheck.jsonl:774", "source_line": 449, "audio": "audio/vibe_coding__recheckjsonl774.wav", "scene": "vibe_coding", "language": "zh", "oral": "我也不太确定，但是感觉把 batch size 改成 512 之后，训练速度能快 百分之三点五 左右。", "clean": "我也不太确定，但是感觉把 batch size 改成 512 之后，训练速度能快 3.5% 左右。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“batch size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: batch size, clean: batch size"}, {"id": "q002", "category": "content", "question": "output中是否存在“512”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 512, clean: 512"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之三点五”规范化成了“3.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之三点五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之三点五, clean: 3.5%"}, {"id": "q004", "category": "content", "question": "output中是否存在“训练速度能快”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 训练速度能快, clean: 训练速度能快"}, {"id": "q005", "category": "content", "question": "output中是否存在“我也不太确定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 我也不太确定, clean: 我也不太确定"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我也不太确定，但是感觉把 batch size 改成 512 之后，训练速度能快 百分之三点五 左右。"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“我也不太确定”这种不确定的表述进行了删减或重新表述？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我也不太确定, clean: 我也不太确定"}]}
{"status": "success", "index": 451, "source_record_id": "recheck.jsonl:776", "source_line": 450, "audio": "audio/vibe_coding__recheckjsonl776.wav", "scene": "vibe_coding", "language": "zh", "oral": "把这个，把这个 Loop, 把 Loop 抽出来, 怎么说, 抽成函数, 你觉得呢？", "clean": "把Loop抽成函数，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“抽成函数”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"抽成函数\""}, {"id": "q002", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"你觉得呢\""}, {"id": "q003", "category": "format", "question": "output中是否将“loop”规范化为首字母大写的“Loop”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“loop”或“Loop”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"Loop\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"把这个，把这个\", \"怎么说\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“把这个，把这个 Loop, 把 Loop 抽出来, 怎么说, 抽成函数”处理成了“把Loop抽成函数”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"把这个，把这个 Loop, 把 Loop 抽出来, 怎么说, 抽成函数\", clean: \"把Loop抽成函数\""}]}
{"status": "success", "index": 452, "source_record_id": "recheck.jsonl:782", "source_line": 453, "audio": "audio/vibe_coding__recheckjsonl782.wav", "scene": "vibe_coding", "language": "zh", "oral": "他说用C sharp, 哦不是, C加加写个test", "clean": "他说用C++写个test", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“test”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 他说用C++写个test"}, {"id": "q002", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: C加加; clean: C++"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦不是"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“C sharp, 哦不是, C加加”处理成了“C++”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: C sharp, 哦不是, C加加; clean: C++"}]}
{"status": "success", "index": 454, "source_record_id": "recheck.jsonl:777", "source_line": 451, "audio": "audio/vibe_coding__recheckjsonl777.wav", "scene": "vibe_coding", "language": "zh", "oral": "帮我看看这段C加加代码，看看这段C加加代码在干嘛，然后这里有个指针箭头指向 member 变量，还有这个 double 类型的 threshold 阈值阈值怎么设，另外判断 if 语句里那个不等于零逻辑对不对", "clean": "帮我看看这段C++代码在干嘛，然后这里有个指针->指向member变量，还有这个double类型的threshold阈值怎么设，另外判断if语句里那个!=0逻辑对不对", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“代码在干嘛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 代码在干嘛"}, {"id": "q002", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在“C++”或“C加加”", "score": -1}], "evidence": "oral: C加加, clean: C++"}, {"id": "q003", "category": "format", "question": "output中是否将“指针箭头”规范化成了“指针->”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“指针箭头”", "score": 0}, {"text": "不存在“指针->”或“指针箭头”", "score": -1}], "evidence": "oral: 指针箭头, clean: 指针->"}, {"id": "q004", "category": "format", "question": "output中是否将“不等于零”规范化成了“!=0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“不等于零”", "score": 0}, {"text": "不存在“!=0”或“不等于零”", "score": -1}], "evidence": "oral: 不等于零, clean: !=0"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 看看这段C加加代码，看看这段C加加代码; 阈值阈值"}, {"id": "q006", "category": "content", "question": "output中是否保留了“指向member变量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 指向member变量"}, {"id": "q007", "category": "content", "question": "output中是否保留了“threshold阈值怎么设”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: threshold阈值怎么设"}, {"id": "q008", "category": "content", "question": "output中是否保留了“if语句里那个逻辑对不对”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: if语句里那个逻辑对不对"}]}
{"status": "success", "index": 453, "source_record_id": "recheck.jsonl:768", "source_line": 448, "audio": "audio/vibe_coding__recheckjsonl768.wav", "scene": "vibe_coding", "language": "zh", "oral": "哦对了，我想给那个模块加个 cache 机制，就是把所有大于等于五百个元素 列表存到 Redis 里，诶，不对，应该是大于等于五百一十二个，然后用双冒号调用那个 Singleton 类，哈。", "clean": "我想给那个模块加个 cache 机制，把所有 >= 512 个元素的列表存到 Redis 里，然后用 :: 调用 Singleton 类。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哦对了, 就是, 诶，不对，应该是, 哈"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“大于等于五百个元素，诶，不对，应该是大于等于五百一十二个”处理成了“512”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "大于等于五百个元素 列表存到 Redis 里，诶，不对，应该是大于等于五百一十二个 -> >= 512 个元素"}, {"id": "q003", "category": "format", "question": "output中是否将“大于等于”规范化成了“>=”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“大于等于”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "大于等于 -> >="}, {"id": "q004", "category": "format", "question": "output中是否将“五百一十二”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百一十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五百一十二 -> 512"}, {"id": "q005", "category": "format", "question": "output中是否将“双冒号”规范化成了“::”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“双冒号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "双冒号 -> ::"}, {"id": "q006", "category": "content", "question": "output中是否存在“给那个模块加个 cache 机制”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我想给那个模块加个 cache 机制"}, {"id": "q007", "category": "content", "question": "output中是否存在“列表存到 Redis 里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "列表存到 Redis 里"}, {"id": "q008", "category": "content", "question": "output中是否存在“调用 Singleton 类”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "调用 Singleton 类"}]}
{"status": "success", "index": 455, "source_record_id": "recheck.jsonl:762", "source_line": 445, "audio": "audio/vibe_coding__recheckjsonl762.wav", "scene": "vibe_coding", "language": "zh", "oral": "对了，帮我 check 一下那个 deployment 配置，我觉得我觉得那个内存限制设得太低，得把 memory limit 调高点。那个值设成四 G…不对，八 G…等等错了，是十六 G！话说咱们那个…要是把…怎么说呢…如果把 C plus plus 编译器版本换成十四号的话，会不会导致 binary 兼容性问题？你检查检查这个版本，检查检查一下环境变量里有没有那个 Path 路径。", "clean": "帮我check一下deployment配置，我觉得内存限制设得太低，得把memory limit调高点。那个值设成16G！如果把C++编译器版本换成14的话，会不会导致binary兼容性问题？你检查一下环境变量里有没有Path路径。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "对了、我觉得我觉得、检查检查"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“四 G…不对，八 G…等等错了，是十六 G”处理成了“16G”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "那个值设成四 G…不对，八 G…等等错了，是十六 G！ -> 那个值设成16G！"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“话说咱们那个…要是把…怎么说呢…如果把”处理成了“如果把”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "话说咱们那个…要是把…怎么说呢…如果把 -> 如果把"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“你检查检查这个版本，检查检查一下”处理成了“你检查一下”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "你检查检查这个版本，检查检查一下 -> 你检查一下"}, {"id": "q005", "category": "format", "question": "output中是否将“十六 G”规范化成了“16G”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十六 G”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "十六 G -> 16G"}, {"id": "q006", "category": "format", "question": "output中是否将“C plus plus”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C plus plus”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "C plus plus -> C++"}, {"id": "q007", "category": "format", "question": "output中是否将“十四号”规范化成了“14”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十四号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "十四号 -> 14"}, {"id": "q008", "category": "content", "question": "output中是否存在“deployment配置”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "deployment 配置"}, {"id": "q009", "category": "content", "question": "output中是否存在“memory limit”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "memory limit"}, {"id": "q010", "category": "content", "question": "output中是否存在“binary兼容性问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "binary 兼容性问题"}, {"id": "q011", "category": "content", "question": "output中是否存在“环境变量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "环境变量"}, {"id": "q012", "category": "content", "question": "output中是否存在“Path”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Path 路径"}]}
{"status": "success", "index": 456, "source_record_id": "recheck.jsonl:781", "source_line": 452, "audio": "audio/vibe_coding__recheckjsonl781.wav", "scene": "vibe_coding", "language": "zh", "oral": "老大说要把那个接口改成C井号，哦不是，是C加加，我觉得那个…怎么说呢…如果用双冒号来调用，可能性能会更好。", "clean": "老大说要把接口改成C++，我觉得如果用::来调用，可能性能会更好。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“老大说要把接口改成”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 老大说要把那个接口改成; clean: 老大说要把接口改成"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“C井号，哦不是，是C加加”处理成了“C++”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: C井号，哦不是，是C加加; clean: C++"}, {"id": "q003", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: C加加; clean: C++"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个…怎么说呢…; clean: 无"}, {"id": "q005", "category": "format", "question": "output中是否将“双冒号”规范化成了“::”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“双冒号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 双冒号; clean: ::"}, {"id": "q006", "category": "content", "question": "output中是否保留了“可能性能会更好”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: 可能性能会更好; clean: 可能性能会更好"}]}
{"status": "success", "index": 457, "source_record_id": "recheck.jsonl:784", "source_line": 454, "audio": "audio/vibe_coding__recheckjsonl784.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，我想用 Redis 缓存，不对，应该用 Memcached 比较快，怎么说呢，这个 latency 在十毫秒以内，能到道，性能得提升百分之二十吧。", "clean": "我想用 Memcached 比较快，latency 在 10毫秒 以内，性能得提升 百分之二十 吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\", \"怎么说呢\", \"能到道\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“我想用 Redis 缓存，不对，应该用 Memcached”处理成了“我想用 Memcached”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"我想用 Redis 缓存，不对，应该用 Memcached\", clean: \"我想用 Memcached\""}, {"id": "q003", "category": "format", "question": "output中是否将“十毫秒”规范化成了“10毫秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十毫秒”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"十毫秒\", clean: \"10毫秒\""}, {"id": "q004", "category": "content", "question": "output中是否存在“latency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"latency\""}, {"id": "q005", "category": "content", "question": "output中是否存在“性能得提升”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"性能得提升\""}]}
{"status": "success", "index": 459, "source_record_id": "recheck.jsonl:788", "source_line": 457, "audio": "audio/vibe_coding__recheckjsonl788.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，我也不太确定，但是感觉这个指针指针指向不对，怎么说呢，感觉应该用双冒号双冒号去调用，诶，可能得改一下吧。", "clean": "我也不太确定，但感觉这个指针指向不对，感觉应该用::去调用，可能得改一下吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了\"我也不太确定\"？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"我也不太确定\""}, {"id": "q002", "category": "content", "question": "output中是否保留了\"指针指向不对\"？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"指针指向不对\""}, {"id": "q003", "category": "content", "question": "output中是否保留了\"可能得改一下\"？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"可能得改一下\""}, {"id": "q004", "category": "format", "question": "output中是否将\"双冒号双冒号\"规范化成了\"::\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"双冒号双冒号\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"双冒号双冒号\"; clean: \"::\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\"、\"怎么说呢\"、\"诶\"、\"指针指针\"、\"双冒号双冒号\""}]}
{"status": "success", "index": 458, "source_record_id": "recheck.jsonl:785", "source_line": 455, "audio": "audio/vibe_coding__recheckjsonl785.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，帮我写个API，写个API接口，参数要是大于等于十，不对，大于等于二十，就是用C加加实现吧。", "clean": "帮我写个API接口，参数要>=20，用C++实现吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，帮我写个API，写个API接口"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“大于等于十，不对，大于等于二十”处理成了“大于等于二十”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "参数要是大于等于十，不对，大于等于二十"}, {"id": "q003", "category": "format", "question": "output中是否将“大于等于二十”规范化成了“>=20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“大于等于二十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "参数要>=20"}, {"id": "q004", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "用C++实现吧"}, {"id": "q005", "category": "content", "question": "output中是否存在“帮我写个API接口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "帮我写个API接口"}, {"id": "q006", "category": "content", "question": "output中是否存在“实现吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用C++实现吧"}]}
{"status": "success", "index": 461, "source_record_id": "recheck.jsonl:793", "source_line": 460, "audio": "audio/vibe_coding__recheckjsonl793.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，如果这个 cluster 节点数设成三，不对，五的话，那咱们就... 怎么说呢... 咱们就能实现高可用，实现高可用就到道了吧。", "clean": "如果这个 cluster 节点数设成 5 的话，咱们就能实现高可用，实现高可用就达到了吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，怎么说呢，咱们就...咱们就"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“三，不对，五”处理成了“5”或“五”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "三，不对，五"}, {"id": "q003", "category": "format", "question": "output中是否将“五”规范化成了“5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "五"}, {"id": "q004", "category": "content", "question": "output中是否存在“cluster”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "cluster"}, {"id": "q005", "category": "content", "question": "output中是否存在“高可用”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "高可用"}, {"id": "q006", "category": "content", "question": "output中是否存在“达到了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "到道了"}]}
{"status": "success", "index": 460, "source_record_id": "recheck.jsonl:786", "source_line": 456, "audio": "audio/vibe_coding__recheckjsonl786.wav", "scene": "vibe_coding", "language": "zh", "oral": "老大，我觉得这个内存泄漏内存泄漏应该在那个…怎么说呢…如果检查一下 cache 缓存的话，应该是五百兆…不对，是八百兆，赶紧看看那个内存内存泄漏再到哪儿触发的。", "clean": "老大，我觉得这个内存泄漏应该检查一下cache缓存的话，应该是800MB，赶紧看看内存泄漏是在哪儿触发的。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“老大”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"老大\""}, {"id": "q002", "category": "content", "question": "output中是否存在“内存泄漏”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"内存泄漏\""}, {"id": "q003", "category": "content", "question": "output中是否存在“cache缓存”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"cache缓存\""}, {"id": "q004", "category": "content", "question": "output中是否存在“触发”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"触发\""}, {"id": "q005", "category": "format", "question": "output中是否将“八百兆”规范化成了“800MB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八百兆”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"八百兆\", clean: \"800MB\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“五百兆…不对，是八百兆”处理成了“800MB”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"五百兆…不对，是八百兆\", clean: \"800MB\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"内存泄漏内存泄漏\", \"那个…怎么说呢…\", \"内存内存泄漏\""}]}
{"status": "success", "index": 462, "source_record_id": "recheck.jsonl:789", "source_line": 458, "audio": "audio/vibe_coding__recheckjsonl789.wav", "scene": "vibe_coding", "language": "zh", "oral": "老王，我觉得我觉得用 Redis 缓存，缓存这个方案比较快，然后那个...要是把...怎么说呢...如果把 TTL 设为 三百秒，不对，是 六百秒，这样压力压力会小点。", "clean": "老王，我觉得用 Redis 缓存这个方案比较快，如果把 TTL 设为 600 秒，这样压力会小点。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "我觉得我觉得, 缓存，缓存, 然后那个...要是把...怎么说呢..., 压力压力"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“三百秒，不对，是 六百秒”处理成了“600 秒”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "三百秒，不对，是 六百秒 -> 600 秒"}, {"id": "q003", "category": "format", "question": "output中是否将“六百秒”规范化成了“600 秒”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六百秒”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "六百秒 -> 600 秒"}, {"id": "q004", "category": "content", "question": "output中是否存在“老王”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "老王"}, {"id": "q005", "category": "content", "question": "output中是否存在“我觉得”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我觉得"}, {"id": "q006", "category": "content", "question": "output中是否存在“用 Redis 缓存”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用 Redis 缓存"}, {"id": "q007", "category": "content", "question": "output中是否存在“方案比较快”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "方案比较快"}, {"id": "q008", "category": "content", "question": "output中是否存在“TTL”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "TTL"}, {"id": "q009", "category": "content", "question": "output中是否存在“设为”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "设为"}, {"id": "q010", "category": "content", "question": "output中是否存在“压力会小点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "压力会小点"}]}
{"status": "success", "index": 463, "source_record_id": "recheck.jsonl:803", "source_line": 465, "audio": "audio/voice_search__recheckjsonl803.wav", "scene": "voice_search", "language": "zh", "oral": "嗯，不是让我去知乎搜那个，其实是我想听Adele，不对，我想听邓紫棋在Discord上播的白噪音吧，怎么说呢，帮我放三分钟的。", "clean": "不是让我去知乎搜，其实是我想听邓紫棋在Discord上播的白噪音，帮我放3分钟的。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\", \"那个\", \"吧\", \"怎么说呢\" -> clean: 无"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“我想听Adele，不对，我想听邓紫棋”处理成了“我想听邓紫棋”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"我想听Adele，不对，我想听邓紫棋\" -> clean: \"我想听邓紫棋\""}, {"id": "q003", "category": "format", "question": "output中是否将“三分钟”规范化成了“3分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"三分钟\" -> clean: \"3分钟\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“知乎”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"不是让我去知乎搜\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“邓紫棋”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"邓紫棋\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“Discord”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Discord\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“白噪音”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"白噪音\""}]}
{"status": "success", "index": 464, "source_record_id": "recheck.jsonl:794", "source_line": 461, "audio": "audio/vibe_coding__recheckjsonl794.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，用Redis存...我想想啊，其实直接走MySQL可能更好，还有就是判断那个status不等于零得写清楚，另外再把C加加的版本号升到v一点零吧，诶，就是要把索引优化好呀。", "clean": "其实直接走MySQL可能更好，判断status!=0得写清楚，另外把C++的版本号升到v1.0吧，要把索引优化好。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯，\", \"我想想啊\", \"诶，就是\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“用Redis存...我想想啊，其实直接走MySQL可能更好”处理成了“其实直接走MySQL可能更好”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"用Redis存...我想想啊，其实直接走MySQL可能更好\", clean: \"其实直接走MySQL可能更好\""}, {"id": "q003", "category": "format", "question": "output中是否将“status不等于零”规范化成了“status!=0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“status不等于零”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"status不等于零\", clean: \"status!=0\""}, {"id": "q004", "category": "format", "question": "output中是否将“C加加”规范化成了“C++”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“C加加”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"C加加\", clean: \"C++\""}, {"id": "q005", "category": "format", "question": "output中是否将“v一点零”规范化成了“v1.0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“v一点零”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"v一点零\", clean: \"v1.0\""}, {"id": "q006", "category": "content", "question": "output中是否存在“把索引优化好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"要把索引优化好\""}, {"id": "q007", "category": "content", "question": "output中是否存在“得写清楚”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"得写清楚\""}, {"id": "q008", "category": "content", "question": "output中是否存在“版本号”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"版本号\""}]}
{"status": "success", "index": 465, "source_record_id": "recheck.jsonl:805", "source_line": 466, "audio": "audio/voice_search__recheckjsonl805.wav", "scene": "voice_search", "language": "zh", "oral": "帮我搜搜，与其看蔡依林，蔡依林，不如看哔哩哔哩，哔哩哔哩，比Zara更时尚 电影，不对，比Zara更时尚 纪录片。", "clean": "帮我搜搜，与其看蔡依林，不如看哔哩哔哩，比Zara更时尚纪录片。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“不如看哔哩哔哩”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "不如看哔哩哔哩"}, {"id": "q002", "category": "format", "question": "output中是否将专有名词规范化成了首字母大写的“Zara”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Zara”或“zara”等", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Zara"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "蔡依林，蔡依林 / 哔哩哔哩，哔哩哔哩"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“比Zara更时尚 电影，不对，比Zara更时尚 纪录片”处理成了“比Zara更时尚纪录片”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "比Zara更时尚 电影，不对，比Zara更时尚 纪录片 -> 比Zara更时尚纪录片"}]}
{"status": "success", "index": 468, "source_record_id": "recheck.jsonl:799", "source_line": 463, "audio": "audio/vibe_coding__recheckjsonl799.wav", "scene": "vibe_coding", "language": "zh", "oral": "嗯，帮我看看这段代码在干嘛，就是，诶，我想想啊，帮我分析下这个 pointer 后面接双冒号作用域得逻辑，应该在这一块吧？", "clean": "帮我看看这段代码在干嘛，帮我分析下这个 pointer 后面接 :: 的逻辑，应该在这一块吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，就是，诶，我想想啊"}, {"id": "q002", "category": "format", "question": "output中是否将“双冒号”规范化成了“::”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“双冒号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 双冒号, clean: ::"}, {"id": "q003", "category": "content", "question": "output中是否保留了“帮我看看这段代码在干嘛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我看看这段代码在干嘛"}, {"id": "q004", "category": "content", "question": "output中是否保留了“pointer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pointer"}, {"id": "q005", "category": "content", "question": "output中是否保留了“应该在这一块吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 应该在这一块吧"}]}
{"status": "success", "index": 469, "source_record_id": "recheck.jsonl:807", "source_line": 467, "audio": "audio/voice_search__recheckjsonl807.wav", "scene": "voice_search", "language": "zh", "oral": "哦对了，帮我给蔡依林发个微信，就说，就说我想买台 Tesla Model 3，诶，我想买买台 Tesla Model 3，颜色要白色哈。", "clean": "帮我给蔡依林发个微信，就说我想买台 Tesla Model 3，颜色要白色哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“给蔡依林发个微信”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我给蔡依林发个微信"}, {"id": "q002", "category": "content", "question": "output中是否存在“颜色要白色”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 颜色要白色哈"}, {"id": "q003", "category": "format", "question": "output中是否将“Tesla Model 3”规范化成了“Tesla Model 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Tesla Model 3”或类似读法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Tesla Model 3"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了，就说，就说，诶，买买台"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“就说，就说”和“我想买台，诶，我想买买台”处理成了“就说我想买台”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 就说，就说我想买台...诶，我想买买台; clean: 就说我想买台"}]}
{"status": "success", "index": 466, "source_record_id": "recheck.jsonl:796", "source_line": 462, "audio": "audio/vibe_coding__recheckjsonl796.wav", "scene": "vibe_coding", "language": "zh", "oral": "我现在这个 query 慢得离谱，就是那个……我想把 index 重新建一遍，要是让 status 不等于零，再……不对，应该是在 where 子句里加个作用域限制，你觉得这样能把 latency 降下来吗？", "clean": "我现在这个 query 慢得离谱，我想把 index 重新建一遍，应该是在 where 子句里加个 :: 限制，你觉得这样能把 latency 降下来吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "就是那个……"}, {"id": "q002", "category": "rephrase", "question": "output中是否去除了“要是让 status 不等于零，再……不对，”这段重新表述的过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "要是让 status 不等于零，再……不对，"}, {"id": "q003", "category": "format", "question": "output中是否将“作用域”规范化成了“::”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“作用域”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "作用域限制 -> :: 限制"}, {"id": "q004", "category": "content", "question": "output中是否存在“我现在这个”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我现在这个"}, {"id": "q005", "category": "content", "question": "output中是否存在“query 慢得离谱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "query 慢得离谱"}, {"id": "q006", "category": "content", "question": "output中是否存在“把 index 重新建一遍”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把 index 重新建一遍"}, {"id": "q007", "category": "content", "question": "output中是否存在“在 where 子句里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "在 where 子句里"}, {"id": "q008", "category": "content", "question": "output中是否存在“你觉得这样能”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你觉得这样能"}, {"id": "q009", "category": "content", "question": "output中是否存在“把 latency 降下来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把 latency 降下来"}]}
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{"status": "success", "index": 472, "source_record_id": "recheck.jsonl:811", "source_line": 471, "audio": "audio/voice_search__recheckjsonl811.wav", "scene": "voice_search", "language": "zh", "oral": "诶，帮我把空调打开，就是，我想想啊，刚才在外面拍 GoPro Hero 12 拍太久，热得像在海底捞里坐着一样吧。", "clean": "帮我把空调打开，刚才在外面拍 GoPro Hero 12 拍太久，热得像在海底捞里坐着一样吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“帮我把空调打开”？", "options": [{"text": "完整或等价保留了该语义单元", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 帮我把空调打开"}, {"id": "q002", "category": "content", "question": "output中是否保留了“拍太久”？", "options": [{"text": "完整或等价保留了该语义单元", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 拍太久"}, {"id": "q003", "category": "content", "question": "output中是否保留了“热得像在海底捞里坐着一样”？", "options": [{"text": "完整或等价保留了该语义单元", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 热得像在海底捞里坐着一样吧"}, {"id": "q004", "category": "format", "question": "output中是否将相机型号规范化成了“GoPro Hero 12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“gopro hero 十二”等原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: GoPro Hero 12"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，就是，我想想啊"}]}
{"status": "success", "index": 471, "source_record_id": "recheck.jsonl:808", "source_line": 468, "audio": "audio/voice_search__recheckjsonl808.wav", "scene": "voice_search", "language": "zh", "oral": "嗯，我最近在看 Kindle Paperwhite，还买了 Lululemon，就是 Lululemon 衣服，诶，我想听听听 Louis Vuitton 那个播客，播客最新一期帮我放一下吧。", "clean": "我最近在看 Kindle Paperwhite，还买了 Lululemon 衣服，我想听 Louis Vuitton 那个播客，最新一期帮我放一下吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“kindle paperwhite”规范化成了“Kindle Paperwhite”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“kindle paperwhite”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Kindle Paperwhite\", clean: \"Kindle Paperwhite\""}, {"id": "q002", "category": "format", "question": "output中是否将“lululemon”规范化成了“Lululemon”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“lululemon”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Lululemon\", clean: \"Lululemon\""}, {"id": "q003", "category": "format", "question": "output中是否将“louis vuitton”规范化成了“Louis Vuitton”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“louis vuitton”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Louis Vuitton\", clean: \"Louis Vuitton\""}, {"id": "q004", "category": "content", "question": "output中是否存在“最近在看”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"我最近在看\""}, {"id": "q005", "category": "content", "question": "output中是否存在“买衣服”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"还买了 Lululemon 衣服\""}, {"id": "q006", "category": "content", "question": "output中是否存在“听播客”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"我想听 Louis Vuitton 那个播客\""}, {"id": "q007", "category": "content", "question": "output中是否存在“最新一期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"最新一期帮我放一下吧\""}, {"id": "q008", "category": "content", "question": "output中是否存在“放一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"帮我放一下吧\""}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\", \"诶\", \"听听听\", \"播客，播客\""}, {"id": "q010", "category": "rephrase", "question": "output中是否将“Lululemon，就是 Lululemon 衣服”处理成了“Lululemon 衣服”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Lululemon，就是 Lululemon 衣服\", clean: \"Lululemon 衣服\""}]}
{"status": "success", "index": 473, "source_record_id": "recheck.jsonl:810", "source_line": 470, "audio": "audio/voice_search__recheckjsonl810.wav", "scene": "voice_search", "language": "zh", "oral": "诶，我想把闹钟定在明天早上六点…不对，七点…等等错了，是八点！就是我想想啊，全家全家早点开门，我得赶紧买个早餐，然后听首Billie Eilish，你觉得呢吧？", "clean": "我想把闹钟定在明天早上8:00，全家早点开门，我得赶紧买个早餐，然后听首Billie Eilish，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“六点…不对，七点…等等错了，是八点！”处理成了“八点”？", "options": [{"text": "进行了相同处理，保留了最终结果并删除了纠错过程", "score": 2}, {"text": "删除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 六点…不对，七点…等等错了，是八点！ -> clean: 8:00"}, {"id": "q002", "category": "format", "question": "output中是否将“八点”规范化成了“8:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“八点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 8:00"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶 / 就是我想想啊 / 全家全家 / 吧"}, {"id": "q004", "category": "content", "question": "output中是否存在“Billie Eilish”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Billie Eilish"}, {"id": "q005", "category": "content", "question": "output中是否存在“全家早点开门”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 全家早点开门"}, {"id": "q006", "category": "content", "question": "output中是否存在“买个早餐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 买个早餐"}]}
{"status": "success", "index": 474, "source_record_id": "recheck.jsonl:813", "source_line": 473, "audio": "audio/voice_search__recheckjsonl813.wav", "scene": "voice_search", "language": "zh", "oral": "诶，搜一下那个DJI Mini 四 Pro，不对，我想找 宜家 拍 那个 MacBook Air 广告电影吧。", "clean": "搜一下宜家拍的MacBook Air广告电影吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“宜家”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 宜家"}, {"id": "q002", "category": "content", "question": "output中是否存在“广告电影”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 广告电影"}, {"id": "q003", "category": "format", "question": "output中是否将“MacBook Air”规范化为正确的大小写形式“MacBook Air”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: MacBook Air"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 那个, 吧"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“DJI Mini 四 Pro，不对，我想找”处理成了“宜家”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: DJI Mini 四 Pro，不对，我想找 宜家; clean: 宜家"}]}
{"status": "success", "index": 475, "source_record_id": "recheck.jsonl:812", "source_line": 472, "audio": "audio/voice_search__recheckjsonl812.wav", "scene": "voice_search", "language": "zh", "oral": "诶，快帮我把空调打开，就是我想想啊，刚才在京东买 Billie Eilish 联名款，还有 Decathlon 运动服，跑了太久，现在热死我了，吧。", "clean": "快帮我把空调打开，刚才在京东买 Billie Eilish 联名款，还有 Decathlon 运动服，跑了太久，现在热死我了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，就是我想想啊，吧；clean: 无"}, {"id": "q002", "category": "format", "question": "output中是否保留了首字母大写的“Billie Eilish”？", "options": [{"text": "保留了首字母大写的“Billie Eilish”", "score": 1}, {"text": "保留了该词但未首字母大写或全小写", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "oral: Billie Eilish；clean: Billie Eilish"}, {"id": "q003", "category": "format", "question": "output中是否保留了首字母大写的“Decathlon”？", "options": [{"text": "保留了首字母大写的“Decathlon”", "score": 1}, {"text": "保留了该词但未首字母大写或全小写", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "oral: Decathlon；clean: Decathlon"}, {"id": "q004", "category": "content", "question": "output中是否保留了“快帮我把空调打开”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 快帮我把空调打开"}, {"id": "q005", "category": "content", "question": "output中是否保留了“刚才在京东买”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 刚才在京东买"}, {"id": "q006", "category": "content", "question": "output中是否保留了“联名款”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 联名款"}, {"id": "q007", "category": "content", "question": "output中是否保留了“运动服”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 运动服"}, {"id": "q008", "category": "content", "question": "output中是否保留了“跑了太久”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 跑了太久"}, {"id": "q009", "category": "content", "question": "output中是否保留了“现在热死我了”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 现在热死我了"}]}
{"status": "success", "index": 478, "source_record_id": "recheck.jsonl:816", "source_line": 475, "audio": "audio/voice_search__recheckjsonl816.wav", "scene": "voice_search", "language": "zh", "oral": "诶，如果我想在抖音搜刘若英，啊不对，是盒马鲜生，那能告诉我 lululemon 怎么拼吗？", "clean": "如果我想在抖音搜盒马鲜生，那能告诉我 lululemon 怎么拼吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“抖音”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果我想在抖音搜盒马鲜生"}, {"id": "q002", "category": "format", "question": "output中是否将“lululemon”规范化成了“lululemon”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“lululemon”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 那能告诉我 lululemon 怎么拼吗？"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，如果我想在抖音搜刘若英，啊不对，是盒马鲜生"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“刘若英，啊不对，是盒马鲜生”处理成了“盒马鲜生”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 搜刘若英，啊不对，是盒马鲜生；clean: 搜盒马鲜生"}]}
{"status": "success", "index": 477, "source_record_id": "recheck.jsonl:819", "source_line": 476, "audio": "audio/voice_search__recheckjsonl819.wav", "scene": "voice_search", "language": "zh", "oral": "如果明天早上七点半，啊不对，七点能起来，那我就能先用 Dyson V15 把地吸一遍，帮我定个七点闹钟。", "clean": "如果明天早上7:00能起来，那我就能先用 Dyson V15 把地吸一遍，帮我定个7:00闹钟。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“七点半，啊不对，七点”处理成了“七点”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '七点半，啊不对，七点' -> clean: '七点'"}, {"id": "q002", "category": "format", "question": "output中是否将“七点”规范化成了“7:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“七点”", "score": 0}, {"text": "不存在“七点”或“7:00”", "score": -1}], "evidence": "oral: '七点' -> clean: '7:00'"}, {"id": "q003", "category": "format", "question": "output中是否将“Dyson V15”规范化成了“Dyson V15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Dyson V15”或类似读音", "score": 0}, {"text": "不存在“Dyson V15”或类似读音", "score": -1}], "evidence": "oral: 'Dyson V15' -> clean: 'Dyson V15'"}, {"id": "q004", "category": "content", "question": "output中是否存在“把地吸一遍”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '把地吸一遍'"}, {"id": "q005", "category": "content", "question": "output中是否存在“定个闹钟”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '定个闹钟'"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '啊不对'"}]}
{"status": "success", "index": 479, "source_record_id": "recheck.jsonl:822", "source_line": 477, "audio": "audio/voice_search__recheckjsonl822.wav", "scene": "voice_search", "language": "zh", "oral": "张杰，帮我算下Justin Bieber在Slack发得那个，把三千五百块换成百分之十五，啊不对，百分之二十，得多少钱？", "clean": "张杰，帮我算下Justin Bieber在Slack发的那个，把3500元换成20%，得多少钱？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“张杰”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 张杰"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Justin Bieber”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Justin Bieber"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Slack”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Slack"}, {"id": "q004", "category": "content", "question": "output中是否保留了“得多少钱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得多少钱"}, {"id": "q005", "category": "format", "question": "output中是否将“三千五百块”规范化成了“3500元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三千五百块, clean: 3500元"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之二十”规范化成了“20%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之二十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 百分之二十, clean: 20%"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 张杰，帮我算下Justin Bieber在Slack发得那个，把三千五百块换成百分之十五，啊不对，百分之二十，得多少钱？"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“百分之十五，啊不对，百分之二十”处理成了“20%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 百分之十五，啊不对，百分之二十, clean: 20%"}]}
{"status": "success", "index": 480, "source_record_id": "recheck.jsonl:826", "source_line": 479, "audio": "audio/voice_search__recheckjsonl826.wav", "scene": "voice_search", "language": "zh", "oral": "不是让我播 Adele, 啊不对, 播 Netflix, 帮我把空调打开", "clean": "播 Netflix，帮我把空调打开", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“不是让我播 Adele, 啊不对, 播 Netflix”处理成了“播 Netflix”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 不是让我播 Adele, 啊不对, 播 Netflix; clean: 播 Netflix"}, {"id": "q002", "category": "format", "question": "output中是否将“Netflix”保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "存在“netflix”或“NETFLIX”等未规范大小写的形式", "score": 0}, {"text": "不存在“Netflix”", "score": -1}], "evidence": "oral: Netflix; clean: Netflix"}, {"id": "q003", "category": "content", "question": "output中是否存在“把空调打开”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 帮我把空调打开; clean: 帮我把空调打开"}]}
{"status": "success", "index": 481, "source_record_id": "recheck.jsonl:824", "source_line": 478, "audio": "audio/voice_search__recheckjsonl824.wav", "scene": "voice_search", "language": "zh", "oral": "诶，与其听Justin Bieber新歌，不如看看Amazon的新闻，就是说Xiaomi 14 Ultra比Dyson V15更值得关注吧，我想想啊，帮我播报到今天的摘要哈。", "clean": "与其听Justin Bieber新歌，不如看看Amazon的新闻，Xiaomi 14 Ultra比Dyson V15更值得关注吧，帮我播报到今天的摘要哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“听Justin Bieber新歌”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 与其听Justin Bieber新歌"}, {"id": "q002", "category": "content", "question": "output中是否保留了“看看Amazon的新闻”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 不如看看Amazon的新闻"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Xiaomi 14 Ultra比Dyson V15更值得关注”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Xiaomi 14 Ultra比Dyson V15更值得关注吧"}, {"id": "q004", "category": "content", "question": "output中是否保留了“播报到今天的摘要”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 帮我播报到今天的摘要哈"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，...就是说...我想想啊，... clean: 已去除"}]}
{"status": "success", "index": 483, "source_record_id": "recheck.jsonl:843", "source_line": 484, "audio": "audio/voice_search__recheckjsonl843.wav", "scene": "voice_search", "language": "zh", "oral": "我待会儿得去趟盒马鲜生，帮我搜附近三公里内，啊不对，五公里内加油站", "clean": "我待会儿得去趟盒马鲜生，帮我搜附近5公里内加油站", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“盒马鲜生”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 盒马鲜生"}, {"id": "q002", "category": "content", "question": "output中是否存在“加油站”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 加油站"}, {"id": "q003", "category": "format", "question": "output中是否将“五公里”规范化成了“5公里”？", "options": [{"text": "规范化成了“5公里”", "score": 1}, {"text": "没有进行规范化但存在“五公里”", "score": 0}, {"text": "不存在“5公里”或“五公里”", "score": -1}], "evidence": "oral: 五公里, clean: 5公里"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 啊不对"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“三公里内，啊不对，五公里内”处理成了“5公里内”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三公里内，啊不对，五公里内, clean: 5公里内"}]}
{"status": "success", "index": 482, "source_record_id": "recheck.jsonl:834", "source_line": 481, "audio": "audio/voice_search__recheckjsonl834.wav", "scene": "voice_search", "language": "zh", "oral": "诶，帮我开下空调，温度调到二十六度，不对，二十四度，然后播放播放 Ariana Grande 的歌，就是，另外帮我连接 AirPods Pro 吧。", "clean": "帮我开下空调，温度调到24度，然后播放 Ariana Grande 的歌，另外帮我连接 AirPods Pro 吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"诶\", \"播放播放\", \"就是\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“二十六度，不对，二十四度”处理成了“二十四度”或“24度”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"温度调到二十六度，不对，二十四度\", clean: \"温度调到24度\""}, {"id": "q003", "category": "format", "question": "output中是否将“二十四度”规范化成了“24度”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二十四度”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"二十四度\", clean: \"24度\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“帮我开下空调”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"帮我开下空调\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“然后播放”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"然后播放\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“Ariana Grande”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Ariana Grande\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“另外帮我连接”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"另外帮我连接\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“AirPods Pro”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"AirPods Pro\""}]}
{"status": "success", "index": 484, "source_record_id": "recheck.jsonl:837", "source_line": 482, "audio": "audio/voice_search__recheckjsonl837.wav", "scene": "voice_search", "language": "zh", "oral": "哦对了，帮我算算算算，一个路易威登包包三万六千块，换成特斯拉 Model 3 多少辆 Model 3，换成多少辆", "clean": "对了，帮我算算，一个路易威登包包36000元，换成特斯拉 Model 3 是多少辆？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“路易威登包包”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 一个路易威登包包"}, {"id": "q002", "category": "content", "question": "output中是否存在“算算”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我算算"}, {"id": "q003", "category": "content", "question": "output中是否存在“换成”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 换成特斯拉"}, {"id": "q004", "category": "format", "question": "output中是否将“三万六千块”规范化成了“36000元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三万六千块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三万六千块, clean: 36000元"}, {"id": "q005", "category": "format", "question": "output中是否将“model 3”规范化成了“Model 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“model 3”或类似读法", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Model 3, clean: Model 3"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦, 算算算算, 多少辆...换成多少辆"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“多少辆 Model 3，换成多少辆”处理成了“是多少辆”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 多少辆 Model 3，换成多少辆, clean: 是多少辆"}]}
{"status": "success", "index": 487, "source_record_id": "recheck.jsonl:848", "source_line": 487, "audio": "audio/voice_search__recheckjsonl848.wav", "scene": "voice_search", "language": "zh", "oral": "诶，如果把闲鱼把闲鱼卖给Amazon的话，那我们是不是就能用TikTok买FamilyMart的东西呀，怎么说呢，张惠妹也会在上面直播吗？", "clean": "如果把闲鱼卖给Amazon的话，那我们是不是就能用TikTok买FamilyMart的东西呀，张惠妹也会在上面直播吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“闲鱼卖给Amazon”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果把闲鱼卖给Amazon的话"}, {"id": "q002", "category": "content", "question": "output中是否存在“用TikTok买FamilyMart的东西”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那我们是不是就能用TikTok买FamilyMart的东西呀"}, {"id": "q003", "category": "content", "question": "output中是否存在“张惠妹也会在上面直播”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 张惠妹也会在上面直播吗"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，如果把闲鱼把闲鱼...怎么说呢"}]}
{"status": "success", "index": 485, "source_record_id": "recheck.jsonl:827", "source_line": 480, "audio": "audio/voice_search__recheckjsonl827.wav", "scene": "voice_search", "language": "zh", "oral": "我朋友说 Bruno Mars 好像比 Billie Eilish 大很多，我觉得不对，帮我查下 Bruno Mars 今年几岁，再查下他 Instagram 资料，不对，查 Adele 的资料。", "clean": "我朋友说 Bruno Mars 好像比 Billie Eilish 大很多，我觉得不对，帮我查下 Bruno Mars 今年几岁，再查下 Adele 的资料。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“大很多”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "比 Billie Eilish 大很多"}, {"id": "q002", "category": "content", "question": "output中是否存在“今年几岁”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "查下 Bruno Mars 今年几岁"}, {"id": "q003", "category": "format", "question": "output中是否将“Bruno Mars”保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Bruno Mars"}, {"id": "q004", "category": "format", "question": "output中是否将“Billie Eilish”保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Billie Eilish"}, {"id": "q005", "category": "format", "question": "output中是否将“Instagram”保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Instagram"}, {"id": "q006", "category": "format", "question": "output中是否将“Adele”保持了首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Adele"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "口语词、犹豫词、重复词、插入语"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“再查下他 Instagram 资料，不对，查 Adele 的资料”处理成了“再查下 Adele 的资料”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "再查下他 Instagram 资料，不对，查 Adele 的资料 -> 再查下 Adele 的资料"}]}
{"status": "success", "index": 486, "source_record_id": "recheck.jsonl:839", "source_line": 483, "audio": "audio/voice_search__recheckjsonl839.wav", "scene": "voice_search", "language": "zh", "oral": "小助手，搜搜附近加油站，搜搜附近的加油站，我要买个TikTok，啊不对，是Nintendo Switch，还有个GoPro Hero 12，快点帮我找找找找加油站。", "clean": "小助手，搜搜附近的加油站，我要买个Nintendo Switch，还有个GoPro Hero 12，快点帮我找找加油站。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“小助手”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 小助手"}, {"id": "q002", "category": "content", "question": "output中是否存在“搜搜附近的加油站”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 搜搜附近的加油站"}, {"id": "q003", "category": "content", "question": "output中是否存在“快点帮我找找加油站”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 快点帮我找找加油站"}, {"id": "q004", "category": "format", "question": "output中是否将“Nintendo Switch”以正确的大小写专有名词格式输出？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Nintendo Switch"}, {"id": "q005", "category": "format", "question": "output中是否将“GoPro Hero 12”以正确的大小写和数字专有名词格式输出？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: GoPro Hero 12"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“我要买个TikTok，啊不对，是Nintendo Switch”处理成了“我要买个Nintendo Switch”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我要买个TikTok，啊不对，是Nintendo Switch | clean: 我要买个Nintendo Switch"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 搜搜附近加油站，搜搜附近的加油站 / 找找找找"}]}
{"status": "success", "index": 488, "source_record_id": "recheck.jsonl:849", "source_line": 488, "audio": "audio/voice_search__recheckjsonl849.wav", "scene": "voice_search", "language": "zh", "oral": "诶，Justin Bieber 现在的资料说他二十岁，不对，应该说他现在二十一岁吧，就是，你觉得他这个年纪成名太早吗？", "clean": "Justin Bieber 现在的资料说他21岁，你觉得他这个年纪成名太早吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“成名太早”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 成名太早"}, {"id": "q002", "category": "content", "question": "output中是否存在“资料”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 资料"}, {"id": "q003", "category": "content", "question": "output中是否存在“他这个年纪”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 他这个年纪"}, {"id": "q004", "category": "format", "question": "output中是否将“Justin Bieber”保持了首字母大写的格式？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“justin bieber”或“Justin Bieber”(0)", "不存在“Justin Bieber”或大小写错误(-1)"], "evidence": "oral: Justin Bieber, clean: Justin Bieber"}, {"id": "q005", "category": "format", "question": "output中是否将“二十一岁”规范化成了“21岁”？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“二十一岁”(0)", "不存在“21岁”或“二十一岁”(-1)"], "evidence": "oral: 二十一岁, clean: 21岁"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: 诶, 就是"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“二十岁，不对，应该说他现在二十一岁吧”处理成了“21岁”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 二十岁，不对，应该说他现在二十一岁吧, clean: 21岁"}]}
{"status": "success", "index": 490, "source_record_id": "recheck.jsonl:851", "source_line": 489, "audio": "audio/voice_search__recheckjsonl851.wav", "scene": "voice_search", "language": "zh", "oral": "哦对了，帮我播播，播放一下Billie Eilish，啊不对，是Justin Bieber那个播客，那个播客最新一期，我想想，怎么说，直接播最新的那一集就行", "clean": "帮我播放Justin Bieber播客最新一期，直接播最新的那一集就行", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“播客最新一期”或“最新的那一集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 播客最新一期，直接播最新的那一集就行"}, {"id": "q002", "category": "format", "question": "output中是否将“Justin Bieber”进行了合理的大小写规范化（即首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“justin bieber”等未规范形式", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Justin Bieber"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了, 播播, 我想想, 怎么说"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“Billie Eilish，啊不对，是Justin Bieber”处理成了“Justin Bieber”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Billie Eilish，啊不对，是Justin Bieber / clean: Justin Bieber"}, {"id": "q005", "category": "content", "question": "output中是否保留了“直接播”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接播最新的那一集就行"}]}
{"status": "success", "index": 489, "source_record_id": "recheck.jsonl:845", "source_line": 485, "audio": "audio/voice_search__recheckjsonl845.wav", "scene": "voice_search", "language": "zh", "oral": "嗯，我也不太确定，但是感觉感觉客厅灯光调到百分之五十吧，我想想啊，要把林俊杰全家GoPro Hero 12拍 Amazon百度网盘备份，调调到百分之五十。", "clean": "我也不太确定，但是感觉客厅灯光调到50%吧，要把林俊杰全家GoPro Hero 12拍的Amazon百度网盘备份，调到50%。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 感觉感觉, 我想想啊, 调调到"}, {"id": "q002", "category": "format", "question": "output中是否将“百分之五十”规范化成了“50%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之五十 -> 50%"}, {"id": "q003", "category": "format", "question": "output中是否将“GoPro Hero 12”保持了正确的大小写格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“gopro hero 12”等", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "GoPro Hero 12"}, {"id": "q004", "category": "format", "question": "output中是否将“Amazon”保持了正确的大小写格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“amazon”等", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "Amazon"}, {"id": "q005", "category": "content", "question": "output中是否存在“客厅灯光”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "客厅灯光"}, {"id": "q006", "category": "content", "question": "output中是否存在“林俊杰全家”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "林俊杰全家"}, {"id": "q007", "category": "content", "question": "output中是否存在“拍的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "拍的"}, {"id": "q008", "category": "content", "question": "output中是否存在“百度网盘备份”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "百度网盘备份"}]}
{"status": "success", "index": 491, "source_record_id": "recheck.jsonl:854", "source_line": 490, "audio": "audio/voice_search__recheckjsonl854.wav", "scene": "voice_search", "language": "zh", "oral": "诶，李荣浩不是那个唱特斯拉 Model 3 广告歌吧，就是，他其实是写歌才子，查下他今年三十九岁，啊不对，四十岁，还有具体资料。", "clean": "李荣浩不是唱特斯拉 Model 3 广告歌吧，他其实是写歌才子，查下他今年40岁，还有具体资料。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“写歌才子”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 他其实是写歌才子"}, {"id": "q002", "category": "content", "question": "output中是否保留了“特斯拉 Model 3”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 特斯拉 Model 3"}, {"id": "q003", "category": "content", "question": "output中是否保留了“广告歌”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 广告歌"}, {"id": "q004", "category": "format", "question": "output中是否将“四十岁”规范化成了“40岁”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“四十岁”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 四十岁, clean: 40岁"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 那个, 就是"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“三十九岁，啊不对，四十岁”处理成了“四十岁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三十九岁，啊不对，四十岁, clean: 40岁"}]}
{"status": "success", "index": 492, "source_record_id": "recheck.jsonl:847", "source_line": 486, "audio": "audio/voice_search__recheckjsonl847.wav", "scene": "voice_search", "language": "zh", "oral": "帮我设个十分钟计时器，我想查查用 Xiaomi 14 Ultra 拍 Tesla Model 3 效果怎么样，哦不是，是用 Sony WH-1000XM5 录音效果怎么样，要在知乎上看看。", "clean": "帮我设个10分钟计时器，我想查查用 Sony WH-1000XM5 录音效果怎么样，要在知乎上看看。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“十分钟”规范化成了“10分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"十分钟\", clean: \"10分钟\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Xiaomi 14 Ultra 拍 Tesla Model 3 效果怎么样，哦不是，是用 Sony WH-1000XM5 录音效果怎么样”处理成了“Sony WH-1000XM5 录音效果怎么样”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Xiaomi 14 Ultra 拍 Tesla Model 3 效果怎么样，哦不是，是用 Sony WH-1000XM5 录音效果怎么样\", clean: \"Sony WH-1000XM5 录音效果怎么样\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"哦不是\""}, {"id": "q004", "category": "content", "question": "output中是否存在“知乎”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"知乎\""}, {"id": "q005", "category": "content", "question": "output中是否存在“录音效果”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"录音效果\""}, {"id": "q006", "category": "content", "question": "output中是否存在“计时器”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"计时器\""}]}
{"status": "success", "index": 494, "source_record_id": "recheck.jsonl:864", "source_line": 494, "audio": "audio/voice_search__recheckjsonl864.wav", "scene": "voice_search", "language": "zh", "oral": "诶，如果我想听听刘若英，啊不对，是Charlie Puth，就是听听Charlie Puth的话，那我们就能睡着吧。", "clean": "如果我想听Charlie Puth的话，那我们就能睡着吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶, 听听, 就是听听"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“刘若英，啊不对，是Charlie Puth”处理成了“Charlie Puth”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "刘若英，啊不对，是Charlie Puth"}, {"id": "q003", "category": "format", "question": "output中是否将“Charlie Puth”保留为首字母大写的“Charlie Puth”？", "options": [{"text": "保留了正确的大小写格式", "score": 1}, {"text": "没有保留正确的大小写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Charlie Puth"}, {"id": "q004", "category": "content", "question": "output中是否存在“听”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "听"}, {"id": "q005", "category": "content", "question": "output中是否存在“睡着”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "睡着"}]}
{"status": "success", "index": 493, "source_record_id": "recheck.jsonl:862", "source_line": 493, "audio": "audio/voice_search__recheckjsonl862.wav", "scene": "voice_search", "language": "zh", "oral": "给李宇春发微信，说匹克那个，不对，给陈粒发微信，帮我关闭洗衣机并把声音调小。", "clean": "给陈粒发微信，帮我关闭洗衣机并把声音调小。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“给陈粒发微信”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 给陈粒发微信"}, {"id": "q002", "category": "content", "question": "output中是否存在“关闭洗衣机”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关闭洗衣机"}, {"id": "q003", "category": "content", "question": "output中是否存在“把声音调小”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把声音调小"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 说匹克那个，不对"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“给李宇春发微信，说匹克那个，不对，给陈粒发微信”处理成了“给陈粒发微信”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 给李宇春发微信，说匹克那个，不对，给陈粒发微信; clean: 给陈粒发微信"}]}
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{"status": "success", "index": 499, "source_record_id": "recheck.jsonl:858", "source_line": 491, "audio": "audio/voice_search__recheckjsonl858.wav", "scene": "voice_search", "language": "zh", "oral": "诶，帮我查查Troye Sivan资料，我想知道他比Justin Bieber更出名吗，怎么说呢，与其看他现在开蔚来汽车，不如看看他以前代言爱马仕，不对，是代言巴奴毛肚火锅，他现在是不是二十九岁，啊不，三十一岁，帮我确认下。", "clean": "帮我查查Troye Sivan资料，我想知道他比Justin Bieber更出名吗，与其看他现在开蔚来汽车，不如看看他以前代言巴奴毛肚火锅，他现在是不是31岁，帮我确认下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶， / 怎么说呢，"}, {"id": "q002", "category": "format", "question": "output中是否将“troye sivan”或类似发音规范化成了首字母大写的“Troye Sivan”？", "options": [{"text": "保留了目标规范化结果“Troye Sivan”", "score": 1}, {"text": "仍保留原始说法或没规范化但存在该词", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "Troye Sivan"}, {"id": "q003", "category": "format", "question": "output中是否将“justin bieber”或类似发音规范化成了首字母大写的“Justin Bieber”？", "options": [{"text": "保留了目标规范化结果“Justin Bieber”", "score": 1}, {"text": "仍保留原始说法或没规范化但存在该词", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "Justin Bieber"}, {"id": "q004", "category": "format", "question": "output中是否将“三十一岁”规范化成了“31岁”？", "options": [{"text": "保留了目标规范化结果“31岁”", "score": 1}, {"text": "仍保留原始说法“三十一岁”但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "三十一岁 -> 31岁"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“代言爱马仕，不对，是代言巴奴毛肚火锅”处理成了“代言巴奴毛肚火锅”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "代言爱马仕，不对，是代言巴奴毛肚火锅 -> 代言巴奴毛肚火锅"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“二十九岁，啊不，三十一岁”处理成了“31岁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "二十九岁，啊不，三十一岁 -> 31岁"}, {"id": "q007", "category": "content", "question": "output中是否存在“蔚来汽车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "蔚来汽车"}, {"id": "q008", "category": "content", "question": "output中是否存在“更出名”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "更出名"}, {"id": "q009", "category": "content", "question": "output中是否存在“查查资料”或“查资料”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "查查...资料"}, {"id": "q010", "category": "content", "question": "output中是否存在“确认下”或“确认一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "确认下"}]}
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{"status": "success", "index": 500, "source_record_id": "recheck.jsonl:874", "source_line": 498, "audio": "audio/voice_search__recheckjsonl874.wav", "scene": "voice_search", "language": "zh", "oral": "诶，先切换下一首陈奕迅，然后…帮我搜，不对，找附近加油站，最后把Li Auto L7静音电视吧。", "clean": "先切换下一首陈奕迅，然后找附近加油站，最后把Li Auto L7静音电视吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“切换下一首陈奕迅”？", "options": [{"text": "完整保留或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 先切换下一首陈奕迅"}, {"id": "q002", "category": "content", "question": "output中是否保留了“找附近加油站”？", "options": [{"text": "完整保留或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 然后找附近加油站"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Li Auto L7”？", "options": [{"text": "完整保留或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 最后把Li Auto L7静音电视吧"}, {"id": "q004", "category": "content", "question": "output中是否保留了“静音电视”？", "options": [{"text": "完整保留或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 最后把Li Auto L7静音电视吧"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，先切换下一首..."}, {"id": "q006", "category": "rephrase", "question": "output中是否将“帮我搜，不对，找”处理成了“找”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 然后…帮我搜，不对，找附近加油站; clean: 然后找附近加油站"}]}
{"status": "success", "index": 502, "source_record_id": "recheck.jsonl:881", "source_line": 501, "audio": "audio/voice_search__recheckjsonl881.wav", "scene": "voice_search", "language": "zh", "oral": "小爱，名创优品那个，MINISO 成立几年了？不对，是问名创优品这个公司，二零一七年成立是不是？", "clean": "小爱，名创优品这个公司，2017年成立是不是？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“小爱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 小爱"}, {"id": "q002", "category": "content", "question": "output中是否存在“名创优品”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 名创优品"}, {"id": "q003", "category": "content", "question": "output中是否存在“这个公司”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这个公司"}, {"id": "q004", "category": "content", "question": "output中是否存在“成立”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 成立"}, {"id": "q005", "category": "content", "question": "output中是否存在“是不是”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是不是"}, {"id": "q006", "category": "format", "question": "output中是否将“二零一七年”规范化成了“2017年”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零一七年”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 二零一七年, clean: 2017年"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 不对"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“名创优品那个，MINISO 成立几年了？不对”处理成了“名创优品这个公司”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 名创优品那个，MINISO 成立几年了？不对，是问名创优品这个公司, clean: 名创优品这个公司"}]}
{"status": "success", "index": 503, "source_record_id": "recheck.jsonl:876", "source_line": 500, "audio": "audio/voice_search__recheckjsonl876.wav", "scene": "voice_search", "language": "zh", "oral": "帮我放个白噪音，就是我想想啊，不是那个，放个像在汉庭酒店或者万宁药店那种安静环境下适合睡觉的，不对，直接播个米哈游风格的轻音乐吧，声音调到三十二", "clean": "帮我放个米哈游风格的轻音乐吧，声音调到32", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“米哈游风格的轻音乐”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 米哈游风格的轻音乐"}, {"id": "q002", "category": "format", "question": "output中是否将“三十二”规范化成了“32”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三十二”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三十二 | clean: 32"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 就是我想想啊，不是那个 | oral: 不对"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“帮我放个白噪音...不对”处理成了“米哈游风格的轻音乐”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 帮我放个白噪音...不对，直接播个米哈游风格的轻音乐吧 | clean: 帮我放个米哈游风格的轻音乐吧"}]}
{"status": "success", "index": 505, "source_record_id": "recheck.jsonl:897", "source_line": 506, "audio": "audio/voice_search__recheckjsonl897.wav", "scene": "voice_search", "language": "zh", "oral": "我想听听赵雷，赵雷，不对，听听Photoshop播客最新一期", "clean": "我想听听Photoshop播客最新一期", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“我想听听”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我想听听"}, {"id": "q002", "category": "content", "question": "output中是否存在“播客”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 播客"}, {"id": "q003", "category": "content", "question": "output中是否存在“最新一期”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最新一期"}, {"id": "q004", "category": "format", "question": "output中是否将播客名称写成了“Photoshop”？", "options": [{"text": "写成了“Photoshop”", "score": 1}, {"text": "写成了“photoshop”或其他大小写形式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: Photoshop"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 赵雷，赵雷，不对"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“赵雷，赵雷，不对，听听”处理成了“Photoshop”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 赵雷，赵雷，不对，听听Photoshop / clean: Photoshop"}]}
{"status": "success", "index": 504, "source_record_id": "recheck.jsonl:887", "source_line": 502, "audio": "audio/voice_search__recheckjsonl887.wav", "scene": "voice_search", "language": "zh", "oral": "不是申通那个拼写，我想问 Xiaomi Vacuum Mop 2 怎么拼，还有李玉刚设定烤箱温度 180度 怎么写，薛之谦名字怎么拼。", "clean": "我想问Xiaomi Vacuum Mop 2怎么拼，还有李玉刚设定烤箱温度180度怎么写，薛之谦名字怎么拼。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否去除了“不是申通那个拼写”这一否定/纠错过程，直接以“我想问”开头？", "options": [{"text": "进行了相同处理，去除了否定过程并直接以“我想问”开头", "score": 2}, {"text": "去除了否定过程，但没有保留“我想问”或后续内容不完整", "score": 1}, {"text": "仍保留了“不是申通那个拼写”等否定/纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 不是申通那个拼写，我想问... clean: 我想问..."}, {"id": "q002", "category": "format", "question": "output中是否将“Xiaomi Vacuum Mop 2”规范化为正确的大小写和数字格式“Xiaomi Vacuum Mop 2”？", "options": [{"text": "进行了相同或合理的规范化，输出为“Xiaomi Vacuum Mop 2”", "score": 1}, {"text": "没有进行规范化，仍保留原始读音或错误的大小写/数字格式", "score": 0}, {"text": "不存在该词或规范化结果完全错误", "score": -1}], "evidence": "clean: Xiaomi Vacuum Mop 2"}, {"id": "q003", "category": "format", "question": "output中是否将“180度”规范化为“180度”？", "options": [{"text": "进行了相同或合理的规范化，输出为“180度”", "score": 1}, {"text": "没有进行规范化，仍保留“一百八十度”等原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: 180度"}, {"id": "q004", "category": "content", "question": "output中是否存在“李玉刚设定烤箱温度”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 李玉刚设定烤箱温度"}, {"id": "q005", "category": "content", "question": "output中是否存在“薛之谦名字怎么拼”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 薛之谦名字怎么拼"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不是申通那个拼写，我想问 Xiaomi Vacuum Mop 2 怎么拼，还有李玉刚设定烤箱温度 180度 怎么写，薛之谦名字怎么拼。"}]}
{"status": "success", "index": 506, "source_record_id": "recheck.jsonl:889", "source_line": 503, "audio": "audio/voice_search__recheckjsonl889.wav", "scene": "voice_search", "language": "zh", "oral": "如果我现在开着Li Auto L7在去富士山路上，那帮我播首Halsey，啊不对，播首富士山下的歌，顺便用京东到家点杯喜茶。", "clean": "如果我现在开着Li Auto L7在去富士山路上，那帮我播首富士山下的歌，顺便用京东到家点杯喜茶。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将\"Li Auto L7\"保持了正确的大小写格式？", "options": [{"text": "保持了正确的大小写格式", "score": 1}, {"text": "存在该词但没有保持正确的大小写格式", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean中的\"Li Auto L7\""}, {"id": "q002", "category": "content", "question": "output中是否存在\"富士山\"？", "options": [{"text": "有，或存在读音相同的其他写法", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean中的\"去富士山路上\""}, {"id": "q003", "category": "content", "question": "output中是否存在\"富士山下\"？", "options": [{"text": "有，或存在读音相同的其他写法", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean中的\"播首富士山下的歌\""}, {"id": "q004", "category": "content", "question": "output中是否存在\"京东到家\"？", "options": [{"text": "有，或存在读音相同的其他写法", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean中的\"用京东到家点杯喜茶\""}, {"id": "q005", "category": "content", "question": "output中是否存在\"喜茶\"？", "options": [{"text": "有，或存在读音相同的其他写法", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean中的\"点杯喜茶\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中的\"啊不对\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将\"Halsey，啊不对，播首富士山下的歌\"处理成了\"播首富士山下的歌\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral中的\"播首Halsey，啊不对，播首富士山下的歌\"，clean中的\"播首富士山下的歌\""}]}
{"status": "success", "index": 507, "source_record_id": "recheck.jsonl:892", "source_line": 504, "audio": "audio/voice_search__recheckjsonl892.wav", "scene": "voice_search", "language": "zh", "oral": "哦对了，帮我设定设定提醒，半小时后开会，诶，帮我关掉雷神，啊不对，是关闭电风扇，我想想，开会开会时间记得提醒我哈。", "clean": "帮我设定提醒，30分钟后开会，帮我关闭电风扇，开会时间记得提醒我哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哦对了, 设定设定, 诶, 我想想, 开会开会"}, {"id": "q002", "category": "format", "question": "output中是否将“半小时后”规范化成了“30分钟后”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“半小时后”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "半小时后 -> 30分钟后"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“关掉雷神，啊不对，是关闭电风扇”处理成了“关闭电风扇”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "关掉雷神，啊不对，是关闭电风扇 -> 关闭电风扇"}, {"id": "q004", "category": "content", "question": "output中是否存在“设定提醒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "设定提醒"}, {"id": "q005", "category": "content", "question": "output中是否存在“开会”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "开会"}, {"id": "q006", "category": "content", "question": "output中是否存在“记得提醒我哈”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "记得提醒我哈"}]}
{"status": "success", "index": 510, "source_record_id": "recheck.jsonl:900", "source_line": 509, "audio": "audio/voice_search__recheckjsonl900.wav", "scene": "voice_search", "language": "zh", "oral": "小爱，设个十分钟，啊不，五分钟计时器哈，再帮我查查空气质量。", "clean": "小爱，设个5分钟计时器，再帮我查查空气质量。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“小爱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "小爱"}, {"id": "q002", "category": "content", "question": "output中是否存在“计时器”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "计时器"}, {"id": "q003", "category": "content", "question": "output中是否存在“空气质量”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "空气质量"}, {"id": "q004", "category": "format", "question": "output中是否将“五分钟”规范化成了“5分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五分钟”", "score": 0}, {"text": "不存在“五分钟”或“5分钟”", "score": -1}], "evidence": "五分钟 -> 5分钟"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "哈"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“十分钟，啊不，五分钟”处理成了“五分钟”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "十分钟，啊不，五分钟 -> 五分钟"}]}
{"status": "success", "index": 508, "source_record_id": "recheck.jsonl:896", "source_line": 505, "audio": "audio/voice_search__recheckjsonl896.wav", "scene": "voice_search", "language": "zh", "oral": "帮我关闭电风扇，诶，我想想啊，林俊杰林俊杰，比李宇春更...唔，与其搜李宇春，不如比比林俊杰 Mariah Carey 谁唱功更强吧。", "clean": "帮我关闭电风扇。与其搜李宇春，不如比比林俊杰和Mariah Carey谁唱功更强吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“关闭电风扇”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我关闭电风扇。"}, {"id": "q002", "category": "format", "question": "output中是否将“Mariah Carey”规范化为了“Mariah Carey”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Mariah Carey”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Mariah Carey, clean: Mariah Carey"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，我想想啊，林俊杰林俊杰，比李宇春更...唔"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“林俊杰林俊杰，比李宇春更...唔，与其搜李宇春”处理成了“与其搜李宇春”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 林俊杰林俊杰，比李宇春更...唔，与其搜李宇春, clean: 与其搜李宇春"}, {"id": "q005", "category": "content", "question": "output中是否存在“搜李宇春”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 与其搜李宇春"}, {"id": "q006", "category": "content", "question": "output中是否存在“唱功更强”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 谁唱功更强吧。"}]}
{"status": "success", "index": 509, "source_record_id": "recheck.jsonl:898", "source_line": 507, "audio": "audio/voice_search__recheckjsonl898.wav", "scene": "voice_search", "language": "zh", "oral": "先播赵雷，然后播五月天，不对，播苏打绿，最后放个Marshmello。", "clean": "先播赵雷，然后播苏打绿，最后放个Marshmello。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“赵雷”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 先播赵雷"}, {"id": "q002", "category": "content", "question": "output中是否存在“苏打绿”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 然后播苏打绿"}, {"id": "q003", "category": "format", "question": "output中是否将“Marshmello”规范化为首字母大写的“Marshmello”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“marshmello”或“Marshmello”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: 最后放个Marshmello"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 先播赵雷，然后播五月天，不对，播苏打绿，最后放个Marshmello。"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“五月天，不对，播苏打绿”处理成了“苏打绿”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 然后播五月天，不对，播苏打绿 | clean: 然后播苏打绿"}]}
{"status": "success", "index": 511, "source_record_id": "recheck.jsonl:899", "source_line": 508, "audio": "audio/voice_search__recheckjsonl899.wav", "scene": "voice_search", "language": "zh", "oral": "诶，不是要打开电饭煲，就是帮我找个凑凑火锅附近停车场，我想想啊，离那儿五百米以内吧。", "clean": "帮我找个凑凑火锅附近停车场，离那儿500米以内吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“凑凑火锅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 凑凑火锅"}, {"id": "q002", "category": "content", "question": "output中是否存在“附近停车场”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 附近停车场"}, {"id": "q003", "category": "content", "question": "output中是否存在“离那儿”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 离那儿"}, {"id": "q004", "category": "content", "question": "output中是否存在“以内”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 以内"}, {"id": "q005", "category": "format", "question": "output中是否将“五百米”规范化成了“500米”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百米”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百米, clean: 500米"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 我想想啊"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“不是要打开电饭煲，就是帮我找个凑凑火锅附近停车场”处理成了“帮我找个凑凑火锅附近停车场”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 不是要打开电饭煲，就是帮我找个凑凑火锅附近停车场, clean: 帮我找个凑凑火锅附近停车场"}]}
{"status": "success", "index": 513, "source_record_id": "assigned_records.jsonl:1597", "source_line": 516, "audio": "audio/academic__assigned_recordsjsonl1597.wav", "scene": "academic", "language": "en", "oral": "Reviewer says... says the learning rate is too high. But we... wait... we we tuned it... tuned it across ten ten different seeds... actually it is optimal.", "clean": "Reviewer says the learning rate is too high. But we tuned it across 10 different seeds; actually it is optimal.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“the learning rate is too high”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the learning rate is too high"}, {"id": "q002", "category": "content", "question": "output中是否存在“actually it is optimal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: actually it is optimal"}, {"id": "q003", "category": "format", "question": "output中是否将“ten”规范化成了“10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten; clean: 10"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: says... says, we... wait... we we, tuned it... tuned it, ten ten"}]}
{"status": "success", "index": 512, "source_record_id": "assigned_records.jsonl:1180", "source_line": 512, "audio": "audio/academic__assigned_recordsjsonl1180.wav", "scene": "academic", "language": "en", "oral": "So looking at the results, the FID score is actually quite low, which is good, but we need to double check if it's statistically significant. Also, I'm seeing some weird spikes in perplexity when we run Qwen-two, and then we really need a proper evaluation of reward hacking in RLHF pipelines to see if the model is just gaming the metric. Plus, we should probably use BERT for some baseline semantic analysis just to be safe.", "clean": "So looking at the results, the FID score is actually quite low, which is good, but we need to double check if it's statistically significant. Also, I'm seeing some weird spikes in perplexity when we run Qwen2, and then we really need a proper evaluation of reward hacking in RLHF pipelines to see if the model is just gaming the metric. Plus, we should probably use BERT for some baseline semantic analysis just to be safe.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Qwen-two”规范化成了“Qwen2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Qwen-two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Qwen-two -> clean: Qwen2"}, {"id": "q002", "category": "content", "question": "output中是否存在“FID score”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: FID score"}, {"id": "q003", "category": "content", "question": "output中是否存在“statistically significant”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: statistically significant"}, {"id": "q004", "category": "content", "question": "output中是否存在“perplexity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: perplexity"}, {"id": "q005", "category": "content", "question": "output中是否存在“reward hacking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: reward hacking"}, {"id": "q006", "category": "content", "question": "output中是否存在“RLHF pipelines”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: RLHF pipelines"}, {"id": "q007", "category": "content", "question": "output中是否存在“gaming the metric”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: gaming the metric"}, {"id": "q008", "category": "content", "question": "output中是否存在“BERT”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: BERT"}, {"id": "q009", "category": "content", "question": "output中是否存在“baseline semantic analysis”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: baseline semantic analysis"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、犹豫词、重复词、插入语"}]}
{"status": "success", "index": 514, "source_record_id": "assigned_records.jsonl:1195", "source_line": 513, "audio": "audio/academic__assigned_recordsjsonl1195.wav", "scene": "academic", "language": "en", "oral": "So if we look at long-context retrieval in needle-in-a-haystack, we might... well, maybe we should first consider the scaling laws for mixture of experts, specifically referencing Hoffmann et al. twenty twenty-two. I mean, if we apply those same principles to... actually, let's pivot to mixture of experts load balancing strategies. We know BERT handles local context well, but for MoE we need to ensure the router isn't just hitting one expert. If we scale it to, say, eight experts, the... the efficiency might drop if we don't fix the load balancing first.", "clean": "So if we look at long-context retrieval in needle-in-a-haystack, maybe we should first consider the scaling laws for mixture of experts, specifically referencing Hoffmann et al. 2022. Let's pivot to mixture of experts load balancing strategies. We know BERT handles local context well, but for MoE we need to ensure the router isn't just hitting one expert. If we scale it to, say, 8 experts, the efficiency might drop if we don't fix the load balancing first.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“long-context retrieval in needle-in-a-haystack”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"long-context retrieval in needle-in-a-haystack\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“scaling laws for mixture of experts”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"scaling laws for mixture of experts\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“mixture of experts load balancing strategies”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"mixture of experts load balancing strategies\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“router isn't just hitting one expert”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"router isn't just hitting one expert\""}, {"id": "q005", "category": "format", "question": "output中是否将“twenty twenty-two”规范化成了“2022”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty-two”", "score": 0}, {"text": "不存在“2022”或规范化错误", "score": -1}], "evidence": "oral: \"twenty twenty-two\", clean: \"2022\""}, {"id": "q006", "category": "format", "question": "output中是否将“eight experts”中的“eight”规范化成了“8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight”", "score": 0}, {"text": "不存在“8”或规范化错误", "score": -1}], "evidence": "oral: \"eight experts\", clean: \"8 experts\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"we might... well,\", \"I mean,\", \"actually,\", \"the... the\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“we might... well, maybe we should”处理成了“maybe we should”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"we might... well, maybe we should\", clean: \"maybe we should\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“if we apply those same principles to... actually, let's pivot to”处理成了“Let's pivot to”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"if we apply those same principles to... actually, let's pivot to\", clean: \"Let's pivot to\""}]}
{"status": "success", "index": 515, "source_record_id": "assigned_records.jsonl:1382", "source_line": 514, "audio": "audio/academic__assigned_recordsjsonl1382.wav", "scene": "academic", "language": "en", "oral": "Thanks for the talk. I was thinking about the sparse attention mechanism efficiency, like, specifically how Gemini one point five handles long contexts. I wonder if multi-token prediction for autoregressive models, multi-token prediction could actually offset some of that overhead. Also, regarding the learning rate, I think we saw a drop at ten percent... oh no, it was twelve point five percent in the baseline. I'm curious if applying similar logic to diffusion model sampling efficiency, sampling efficiency would yield similar gains. What's your take on that?", "clean": "Thanks for the talk. I was thinking about the sparse attention mechanism efficiency, specifically how Gemini 1.5 handles long contexts. I wonder if multi-token prediction for autoregressive models could actually offset some of that overhead. Also, regarding the learning rate, I think we saw a drop at 12.5% in the baseline. I'm curious if applying similar logic to diffusion model sampling efficiency would yield similar gains. What's your take on that?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“sparse attention mechanism efficiency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sparse attention mechanism efficiency"}, {"id": "q002", "category": "format", "question": "output中是否将“Gemini one point five”规范化成了“Gemini 1.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Gemini one point five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Gemini one point five -> Gemini 1.5"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "like, multi-token prediction... multi-token prediction, sampling efficiency... sampling efficiency"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“ten percent... oh no, it was twelve point five percent”处理成了“12.5%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "ten percent... oh no, it was twelve point five percent -> 12.5%"}, {"id": "q005", "category": "content", "question": "output中是否存在“multi-token prediction”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "multi-token prediction"}]}
{"status": "success", "index": 516, "source_record_id": "assigned_records.jsonl:1100", "source_line": 511, "audio": "audio/academic__assigned_recordsjsonl1100.wav", "scene": "academic", "language": "en", "oral": "So uh I was thinking maybe we apply this to... uh... Qwen... Qwen-one... no sorry, Qwen-two... wait that's wrong, it's Qwen-two point five! Basically, it's more like a memory optimization trick than a full architectural change. Like, we could use gradient checkpointing for billion parameter models to fit the batch, right? But instead of standard ViT, we focus on the attention layers. I'm worried about the... uh... perplexity. It might be... four point two... no, four point five... wait, I got it wrong, it's four point eight! If we can push that down, it'd be huge.", "clean": "I was thinking maybe we apply this to Qwen-2.5! It's more like a memory optimization trick than a full architectural change. We could use gradient checkpointing for billion parameter models to fit the batch, right? But instead of standard ViT, we focus on the attention layers. I'm worried about the perplexity. It might be 4.8! If we can push that down, it'd be huge.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Qwen-two point five”规范化成了“Qwen-2.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Qwen-two point five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Qwen-two point five\", clean: \"Qwen-2.5\""}, {"id": "q002", "category": "format", "question": "output中是否将“four point eight”规范化成了“4.8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four point eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four point eight\", clean: \"4.8\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Qwen... Qwen-one... no sorry, Qwen-two... wait that's wrong, it's Qwen-two point five”处理成了“Qwen-2.5”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Qwen... Qwen-one... no sorry, Qwen-two... wait that's wrong, it's Qwen-two point five!\", clean: \"Qwen-2.5!\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“four point two... no, four point five... wait, I got it wrong, it's four point eight”处理成了“4.8”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"four point two... no, four point five... wait, I got it wrong, it's four point eight!\", clean: \"4.8!\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"So uh\", \"uh...\", \"Like\", clean: 无"}, {"id": "q006", "category": "content", "question": "output中是否存在“memory optimization trick”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"memory optimization trick\""}, {"id": "q007", "category": "content", "question": "output中是否存在“full architectural change”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"full architectural change\""}, {"id": "q008", "category": "content", "question": "output中是否存在“gradient checkpointing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"gradient checkpointing\""}, {"id": "q009", "category": "content", "question": "output中是否存在“billion parameter models”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"billion parameter models\""}, {"id": "q010", "category": "content", "question": "output中是否存在“fit the batch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"fit the batch\""}, {"id": "q011", "category": "content", "question": "output中是否存在“standard ViT”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"standard ViT\""}, {"id": "q012", "category": "content", "question": "output中是否存在“attention layers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"attention layers\""}, {"id": "q013", "category": "content", "question": "output中是否存在“perplexity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"perplexity\""}, {"id": "q014", "category": "content", "question": "output中是否存在“push that down”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"push that down\""}]}
{"status": "success", "index": 517, "source_record_id": "assigned_records.jsonl:1604", "source_line": 517, "audio": "audio/academic__assigned_recordsjsonl1604.wav", "scene": "academic", "language": "en", "oral": "Thanks for talk. I wonder if the latent space, the latent space is more like a manifold projection than a linear mapping, a linear mapping of the five hundred twenty eight dimensions? Just wondering if that holds.", "clean": "Thanks for the talk. I wonder if the latent space is more like a manifold projection than a linear mapping of the 528 dimensions? Just wondering if that holds.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“manifold projection”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: manifold projection"}, {"id": "q002", "category": "content", "question": "output中是否保留了“linear mapping”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: linear mapping"}, {"id": "q003", "category": "content", "question": "output中是否保留了“latent space”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: latent space"}, {"id": "q004", "category": "format", "question": "output中是否将“five hundred twenty eight”规范化成了“528”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twenty eight”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: five hundred twenty eight; clean: 528"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: the latent space, the latent space; a linear mapping, a linear mapping"}]}
{"status": "success", "index": 518, "source_record_id": "assigned_records.jsonl:103", "source_line": 510, "audio": "audio/academic__assigned_recordsjsonl103.wav", "scene": "academic", "language": "en", "oral": "So for the multimodal part, I was thinking about... uh... we could apply parameter efficient fine tuning for multi modal, but... wait, actually, if we just use LORA on the vision encoder it might be better. Now, looking at the weight tying, we see some instability. The... uh... the quantization error in four bit weight matrices is basically... it's like... let me rephrase... it's causing a significant drift in the latent space. This hits the FID score pretty hard, like, it jumped by twelve point five points. And if we check the FLOPS, it's down to about two point one teraflops, so it's efficient, but the quality trade off is... well, it's not ideal.", "clean": "So for the multimodal part, I was thinking we could apply parameter efficient fine tuning for multi modal, but if we just use LoRA on the vision encoder it might be better. Now, looking at the weight tying, we see some instability. The quantization error in 4-bit weight matrices is causing a significant drift in the latent space. This hits the FID score pretty hard, it jumped by 12.5 points. And if we check the FLOPS, it's down to about 2.1 teraflops, so it's efficient, but the quality trade off is not ideal.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“parameter efficient fine tuning”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: apply parameter efficient fine tuning"}, {"id": "q002", "category": "content", "question": "output中是否存在“vision encoder”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: use LoRA on the vision encoder"}, {"id": "q003", "category": "content", "question": "output中是否存在“weight tying”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: looking at the weight tying"}, {"id": "q004", "category": "content", "question": "output中是否存在“latent space”？", "options": [{"text": "存在", "score": 1}, {"text": "不存在或只有一部分", "score": 0}, {"text": "含义相反", "score": -1}], "evidence": "clean: drift in the latent space"}, {"id": "q005", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: LORA, clean: LoRA"}, {"id": "q006", "category": "format", "question": "output中是否将“four bit”规范化成了“4-bit”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four bit”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: four bit, clean: 4-bit"}, {"id": "q007", "category": "format", "question": "output中是否将“twelve point five”规范化成了“12.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve point five”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: twelve point five, clean: 12.5"}, {"id": "q008", "category": "format", "question": "output中是否将“two point one”规范化成了“2.1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two point one”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: two point one, clean: 2.1"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, wait, actually, like, well"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“but... wait, actually, if we just use”处理成了“but if we just use”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: but... wait, actually, if we just use, clean: but if we just use"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“is basically... it's like... let me rephrase... it's causing”处理成了“is causing”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: is basically... it's like... let me rephrase... it's causing, clean: is causing"}]}
{"status": "success", "index": 519, "source_record_id": "assigned_records.jsonl:1696", "source_line": 519, "audio": "audio/academic__assigned_recordsjsonl1696.wav", "scene": "academic", "language": "en", "oral": "So, the... the... the ablation on the LORA rank shows... uh... a two point four percent drop, which is... is... is basically negligible. Do you think that's significant?", "clean": "The ablation on the LoRA rank shows a 2.4% drop, which is negligible. Do you think that's significant?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“ablation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"The ablation on the LoRA rank...\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“drop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"...shows a 2.4% drop...\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“rank”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"...on the LoRA rank...\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“significant”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Do you think that's significant?\""}, {"id": "q005", "category": "format", "question": "output中是否将“LORA”规范化成了“LoRA”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“LORA”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"LORA\", clean: \"LoRA\""}, {"id": "q006", "category": "format", "question": "output中是否将“two point four percent”规范化成了“2.4%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two point four percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"two point four percent\", clean: \"2.4%\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"So, the... the... the\", \"uh\", \"is... is... is\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“So, the... the... the”处理成了“The”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"So, the... the... the\", clean: \"The\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“is basically negligible”处理成了“is negligible”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"is basically negligible\", clean: \"is negligible\""}]}
{"status": "success", "index": 521, "source_record_id": "assigned_records.jsonl:1876", "source_line": 520, "audio": "audio/academic__assigned_recordsjsonl1876.wav", "scene": "academic", "language": "en", "oral": "So for the setup we are using a five hundred twelve gigabyte V one hundred GPU cluster and we set the learning rate to three point five percent though actually we might... let me rephrase that we are utilizing a dynamic scheduler to stabilize the gradient flow during the first ten epochs.", "clean": "For the setup, we are using a 512GB V100 GPU cluster and we are utilizing a dynamic scheduler to stabilize the gradient flow during the first 10 epochs.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, though actually we might... let me rephrase that"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred twelve gigabyte”规范化成了“512GB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve gigabyte”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred twelve gigabyte -> 512GB"}, {"id": "q003", "category": "format", "question": "output中是否将“V one hundred”规范化成了“V100”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“V one hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "V one hundred -> V100"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“we set the learning rate to three point five percent though actually we might... let me rephrase that we are utilizing a dynamic scheduler”处理成了“we are utilizing a dynamic scheduler”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "we set the learning rate to three point five percent though actually we might... let me rephrase that we are utilizing a dynamic scheduler -> we are utilizing a dynamic scheduler"}, {"id": "q005", "category": "content", "question": "output中是否存在“utilizing a dynamic scheduler”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "utilizing a dynamic scheduler"}, {"id": "q006", "category": "content", "question": "output中是否存在“stabilize the gradient flow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stabilize the gradient flow"}, {"id": "q007", "category": "format", "question": "output中是否将“ten epochs”规范化成了“10 epochs”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten epochs”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten epochs -> 10 epochs"}]}
{"status": "success", "index": 520, "source_record_id": "assigned_records.jsonl:1430", "source_line": 515, "audio": "audio/academic__assigned_recordsjsonl1430.wav", "scene": "academic", "language": "en", "oral": "So uh regarding the methodology we basically looked at algorithmic alignment via constitutional ai but we wanted to see how... I mean... if we could isolate the impact of quantization on emergent abilities. We ran this on Claude three point four... oh no, Claude three point five and we noticed that the latency spikes were actually consistent with some of the early observations in Sutskever et al. twenty twelve... no wait, twenty fourteen. So basically the compression doesn't seem to kill the reasoning but it does... uh... it kind of shifts the activation patterns. Does that sound reasonable to you or do you think we need more benchmarks?", "clean": "Regarding the methodology, we looked at algorithmic alignment via Constitutional AI, but we wanted to see if we could isolate the impact of quantization on emergent abilities. We ran this on Claude 3.5 and we noticed that the latency spikes were consistent with some of the early observations in Sutskever et al. 2014. The compression doesn't seem to kill the reasoning, but it shifts the activation patterns. Does that sound reasonable to you or do you think we need more benchmarks?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“algorithmic alignment”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: algorithmic alignment; oral: algorithmic alignment"}, {"id": "q002", "category": "content", "question": "output中是否保留了“impact of quantization on emergent abilities”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: impact of quantization on emergent abilities; oral: impact of quantization on emergent abilities"}, {"id": "q003", "category": "content", "question": "output中是否保留了“latency spikes”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: latency spikes; oral: latency spikes"}, {"id": "q004", "category": "content", "question": "output中是否保留了“compression doesn't seem to kill the reasoning”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: compression doesn't seem to kill the reasoning; oral: compression doesn't seem to kill the reasoning"}, {"id": "q005", "category": "content", "question": "output中是否保留了“shifts the activation patterns”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: shifts the activation patterns; oral: shifts the activation patterns"}, {"id": "q006", "category": "content", "question": "output中是否保留了“need more benchmarks”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: need more benchmarks; oral: need more benchmarks"}, {"id": "q007", "category": "format", "question": "output中是否将“constitutional ai”规范化成了“Constitutional AI”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“constitutional ai”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Constitutional AI; oral: constitutional ai"}, {"id": "q008", "category": "format", "question": "output中是否将“Claude three point five”规范化成了“Claude 3.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Claude three point five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Claude 3.5; oral: Claude three point five"}, {"id": "q009", "category": "format", "question": "output中是否将“twenty fourteen”规范化成了“2014”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty fourteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 2014; oral: twenty fourteen"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh, how... I mean... if, oh no, no wait, uh... it kind of"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“Claude three point four... oh no, Claude three point five”处理成了“Claude 3.5”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Claude three point four... oh no, Claude three point five; clean: Claude 3.5"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“twenty twelve... no wait, twenty fourteen”处理成了“2014”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: twenty twelve... no wait, twenty fourteen; clean: 2014"}]}
{"status": "success", "index": 522, "source_record_id": "assigned_records.jsonl:1691", "source_line": 518, "audio": "audio/academic__assigned_recordsjsonl1691.wav", "scene": "academic", "language": "en", "oral": "Dr. Sarah, I wonder if the loss function, the loss function you used for the multi-head attention, maybe it could overfit when sample size is only two hundred forty eight, or I mean, it might be, it might be too sensitive to outliers, so I was wondering if applying a weight decay of zero point zero one might actually stabilize the gradient, you know, in a more robust way?", "clean": "Dr. Sarah, I wonder if the loss function you used for the multi-head attention maybe it could overfit when sample size is only 248, or it might be too sensitive to outliers, so I was wondering if applying a weight decay of 0.01 might actually stabilize the gradient in a more robust way?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“multi-head attention”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"multi-head attention\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“overfit”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"overfit\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“sensitive to outliers”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"sensitive to outliers\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“stabilize the gradient”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"stabilize the gradient\""}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred forty eight”规范化成了“248”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred forty eight”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: \"two hundred forty eight\", clean: \"248\""}, {"id": "q006", "category": "format", "question": "output中是否将“zero point zero one”规范化成了“0.01”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero one”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: \"zero point zero one\", clean: \"0.01\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"the loss function, the loss function\", \"I mean\", \"it might be, it might be\", \"you know\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“the loss function, the loss function”处理成了“the loss function”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"the loss function, the loss function\", clean: \"the loss function\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“or I mean, it might be, it might be”处理成了“or it might be”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"or I mean, it might be, it might be\", clean: \"or it might be\""}]}
{"status": "success", "index": 524, "source_record_id": "assigned_records.jsonl:2330", "source_line": 526, "audio": "audio/academic__assigned_recordsjsonl2330.wav", "scene": "academic", "language": "en", "oral": "So how do we handle the latent space? Well, we use... I mean, we employ a VAE with five hundred twelve dimensions, just to... uh, ensure the manifold is... is stable in the new domain.", "clean": "So how do we handle the latent space? Well, we employ a VAE with 512 dimensions, just to ensure the manifold is stable in the new domain.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“handle the latent space”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "handle the latent space"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred twelve / 512"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, is... is"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“use... I mean, we employ”处理成了“employ”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "use... I mean, we employ / employ"}]}
{"status": "success", "index": 525, "source_record_id": "assigned_records.jsonl:2039", "source_line": 521, "audio": "audio/academic__assigned_recordsjsonl2039.wav", "scene": "academic", "language": "en", "oral": "Aha! So look, contrastive learning basically pulls positive pairs together and pushes negatives apart, like, you take a batch of five hundred twelve samples and use a contrastive loss, wait, I mean a InfoNCE loss, to maximize similarity, just... basically mapping them to a hypersphere where the distance is, well, minimized for similar images, right?", "clean": "Contrastive learning pulls positive pairs together and pushes negatives apart. You take a batch of 512 samples and use an InfoNCE loss to maximize similarity, mapping them to a hypersphere where the distance is minimized for similar images, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Aha! So look, like, wait, I mean, just... basically, well"}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred twelve, clean: 512"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“a contrastive loss, wait, I mean a InfoNCE loss”处理成了“an InfoNCE loss”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: use a contrastive loss, wait, I mean a InfoNCE loss, clean: use an InfoNCE loss"}, {"id": "q004", "category": "content", "question": "output中是否存在“pulls positive pairs together and pushes negatives apart”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pulls positive pairs together and pushes negatives apart"}, {"id": "q005", "category": "content", "question": "output中是否存在“mapping them to a hypersphere”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: mapping them to a hypersphere"}]}
{"status": "success", "index": 523, "source_record_id": "assigned_records.jsonl:2177", "source_line": 522, "audio": "audio/academic__assigned_recordsjsonl2177.wav", "scene": "academic", "language": "en", "oral": "So I think we should switch to the FID score for this baseline, uh, because the current accuracy... wait, maybe better to say, it just doesn't capture the distribution shift we saw in those five hundred twenty samples, and if we look at the lons of the loss curve, it's clear that the model is just... uh... overfiting on the training set, so we need something more robust to evaluate the generative quality.", "clean": "I think we should switch to the FID score for this baseline, because it just doesn't capture the distribution shift we saw in those 520 samples, and if we look at the logs of the loss curve, it's clear that the model is just overfitting on the training set, so we need something more robust to evaluate the generative quality.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“FID score”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: FID score"}, {"id": "q002", "category": "content", "question": "output中是否保留了“distribution shift”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: distribution shift"}, {"id": "q003", "category": "content", "question": "output中是否保留了“logs”（或发音相近的词）？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: lons, clean: logs"}, {"id": "q004", "category": "content", "question": "output中是否保留了“overfitting”（或发音相近的词）？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: overfiting, clean: overfitting"}, {"id": "q005", "category": "content", "question": "output中是否保留了“loss curve”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: loss curve"}, {"id": "q006", "category": "content", "question": "output中是否保留了“generative quality”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: generative quality"}, {"id": "q007", "category": "format", "question": "output中是否将“five hundred twenty”规范化成了“520”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred twenty, clean: 520"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, just... uh..."}, {"id": "q009", "category": "rephrase", "question": "output中是否将“the current accuracy... wait, maybe better to say, it just doesn't”处理成了“it just doesn't”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: the current accuracy... wait, maybe better to say, it just doesn't, clean: it just doesn't"}]}
{"status": "success", "index": 526, "source_record_id": "assigned_records.jsonl:2333", "source_line": 527, "audio": "audio/academic__assigned_recordsjsonl2333.wav", "scene": "academic", "language": "en", "oral": "I m not totally sure but I think l...learning rate is too high. The l...loss just... it just plateaus at zero point zero five. Maybe we should try a b...batch size of two hundred fifty six instead?", "clean": "I'm not totally sure, but I think learning rate is too high. The loss just plateaus at 0.05. Maybe we should try a batch size of 256 instead?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“learning rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "learning rate"}, {"id": "q002", "category": "content", "question": "output中是否存在“batch size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "batch size"}, {"id": "q003", "category": "content", "question": "output中是否存在“too high”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "too high"}, {"id": "q004", "category": "format", "question": "output中是否将“zero point zero five”规范化成了“0.05”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "zero point zero five -> 0.05"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred fifty six”规范化成了“256”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred fifty six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred fifty six -> 256"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "l...learning, l...loss just... it just, b...batch"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“loss just... it just plateaus”处理成了“loss just plateaus”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "loss just... it just plateaus -> loss just plateaus"}]}
{"status": "success", "index": 527, "source_record_id": "assigned_records.jsonl:2322", "source_line": 525, "audio": "audio/academic__assigned_recordsjsonl2322.wav", "scene": "academic", "language": "en", "oral": "So I checked the loss curves and it looks like we have some serious gradient vanishing, maybe maybe maybe because the learning rate is too high, like maybe ten to the minus four, or uh, maybe the weight initialization is just off. I tried reducing batch size to one hundred twenty eight but it still not converging. Do you think we should try a different optimizer or maybe just add some batch normalization?", "clean": "I checked the loss curves and it looks like we have some serious gradient vanishing, maybe because the learning rate is too high, maybe 10^-4, or maybe the weight initialization is just off. I tried reducing batch size to 128 but it's still not converging. Do you think we should try a different optimizer or maybe just add some batch normalization?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“gradient vanishing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'gradient vanishing'; oral: 'gradient vanishing'"}, {"id": "q002", "category": "content", "question": "output中是否存在“weight initialization”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'weight initialization'; oral: 'weight initialization'"}, {"id": "q003", "category": "content", "question": "output中是否存在“batch normalization”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'batch normalization'; oral: 'batch normalization'"}, {"id": "q004", "category": "content", "question": "output中是否存在“still not converging”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'still not converging'; oral: 'still not converging'"}, {"id": "q005", "category": "format", "question": "output中是否将“ten to the minus four”规范化成了“10^-4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten to the minus four”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: '10^-4'; oral: 'ten to the minus four'"}, {"id": "q006", "category": "format", "question": "output中是否将“one hundred twenty eight”规范化成了“128”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twenty eight”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: '128'; oral: 'one hundred twenty eight'"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clean: 'I checked... maybe because... maybe... or maybe'; oral: 'So I checked... maybe maybe maybe... like maybe... or uh, maybe'"}]}
{"status": "success", "index": 530, "source_record_id": "assigned_records.jsonl:2602", "source_line": 529, "audio": "audio/academic__assigned_recordsjsonl2602.wav", "scene": "academic", "language": "en", "oral": "I think the batch size is too small. Since... you used eight... I mean, given that you only used eight samples per iteration, it might not converge.", "clean": "I think the batch size is too small. Given that you only used 8 samples per iteration, it might not converge.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“batch size is too small”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I think the batch size is too small."}, {"id": "q002", "category": "content", "question": "output中是否存在“samples per iteration”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: samples per iteration"}, {"id": "q003", "category": "content", "question": "output中是否存在“might not converge”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: it might not converge."}, {"id": "q004", "category": "format", "question": "output中是否将“eight”规范化成了“8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: eight, clean: 8"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Since... you used eight... I mean,"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Since... you used eight... I mean, given that”处理成了“Given that”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Since... you used eight... I mean, given that, clean: Given that"}]}
{"status": "success", "index": 528, "source_record_id": "assigned_records.jsonl:2272", "source_line": 523, "audio": "audio/academic__assigned_recordsjsonl2272.wav", "scene": "academic", "language": "en", "oral": "So for the baseline, I think we should use the ResNet fifty... oh no, it is ResNet one hundred eight, and just like, uh, keep the learning rate at ten to the minus four. Actually... wait, did you see the latest paper from DeepMind on the latent diffusion? I feel like their sampling method might be more efficient for our current bottleneck, so... uh, what do you think about swapping the architecture entirely?", "clean": "For the baseline, I think we should use ResNet 108, and keep the learning rate at 10^-4. Did you see the latest paper from DeepMind on the latent diffusion? I feel like their sampling method might be more efficient for our current bottleneck, so what do you think about swapping the architecture entirely?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ResNet one hundred eight”规范化成了“ResNet 108”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ResNet one hundred eight”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: 'ResNet one hundred eight'; clean: 'ResNet 108'"}, {"id": "q002", "category": "format", "question": "output中是否将“ten to the minus four”规范化成了“10^-4”或“10^{-4}”等合理的数学表达？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten to the minus four”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: 'ten to the minus four'; clean: '10^-4'"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“ResNet fifty... oh no, it is ResNet one hundred eight”处理成了“ResNet 108”或“ResNet one hundred eight”，去除了前面的纠错过程？", "options": [{"text": "保留最终结果且去除了纠错过程", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'ResNet fifty... oh no, it is ResNet one hundred eight'; clean: 'ResNet 108'"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'So', 'just like, uh', 'Actually... wait', 'so... uh'"}, {"id": "q005", "category": "content", "question": "output中是否存在“baseline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'baseline'"}, {"id": "q006", "category": "content", "question": "output中是否存在“latent diffusion”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'latent diffusion'"}, {"id": "q007", "category": "content", "question": "output中是否存在“sampling method”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'sampling method'"}, {"id": "q008", "category": "content", "question": "output中是否存在“current bottleneck”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'current bottleneck'"}, {"id": "q009", "category": "content", "question": "output中是否存在“swapping the architecture entirely”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'swapping the architecture entirely'"}]}
{"status": "success", "index": 529, "source_record_id": "assigned_records.jsonl:2301", "source_line": 524, "audio": "audio/academic__assigned_recordsjsonl2301.wav", "scene": "academic", "language": "en", "oral": "So basically the core idea is we want to push similar samples together and push dissimilar ones apart. Um, we do this because... well... if we just use like a cross entropy loss it might... uh... let me rephrase that... it tends to collapse if we don't have enough labels. So we use a contrastive loss with maybe five hundred twelve negative samples to force model learn more robust representations without needing labels for every single image.", "clean": "The core idea is we want to push similar samples together and push dissimilar ones apart. We do this because it tends to collapse if we don't have enough labels. So we use a contrastive loss with maybe 512 negative samples to force the model to learn more robust representations without needing labels for every single image.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'So basically', 'Um', 'well', 'uh'"}, {"id": "q002", "category": "rephrase", "question": "output中是否去除了被否定的“cross entropy loss”并保留了最终结果“it tends to collapse”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'if we just use like a cross entropy loss it might... uh... let me rephrase that... it tends to collapse'; clean: 'it tends to collapse'"}, {"id": "q003", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'five hundred twelve'; clean: '512'"}, {"id": "q004", "category": "content", "question": "output中是否存在“push similar samples together and push dissimilar ones apart”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'push similar samples together and push dissimilar ones apart'"}, {"id": "q005", "category": "content", "question": "output中是否存在“contrastive loss”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'contrastive loss'"}]}
{"status": "success", "index": 531, "source_record_id": "assigned_records.jsonl:2905", "source_line": 533, "audio": "audio/academic__assigned_recordsjsonl2905.wav", "scene": "academic", "language": "en", "oral": "P value... zero point zero five... oh no, zero point zero one. Not... uh... significant enough.", "clean": "P-value 0.01. Not significant enough.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将\"P value\"规范化成了\"P-value\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"P value\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"P value\"; clean: \"P-value\""}, {"id": "q002", "category": "format", "question": "output中是否将\"zero point zero one\"规范化成了\"0.01\"？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在\"zero point zero one\"", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"zero point zero one\"; clean: \"0.01\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"oh no\", \"uh\"; clean中无口语词"}, {"id": "q004", "category": "rephrase", "question": "output中是否将\"zero point zero five... oh no, zero point zero one\"处理成了\"0.01\"？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"zero point zero five... oh no, zero point zero one\"; clean: \"0.01\""}, {"id": "q005", "category": "content", "question": "output中是否存在\"Not significant enough\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Not significant enough\""}]}
{"status": "success", "index": 532, "source_record_id": "assigned_records.jsonl:2917", "source_line": 534, "audio": "audio/academic__assigned_recordsjsonl2917.wav", "scene": "academic", "language": "en", "oral": "Need new metric, new metric. F-one score... no, BLEU score fails on ten percent accuracy.", "clean": "Need new metric. BLEU score fails on 10% accuracy.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在\"Need new metric\"这一语义？", "options": [{"text": "完整保留了\"Need new metric\"的含义", "score": 1}, {"text": "部分保留或含义近似但不完整", "score": 0}, {"text": "缺失该语义或含义相反", "score": -1}], "evidence": "clean: \"Need new metric.\" / oral: \"Need new metric, new metric.\""}, {"id": "q002", "category": "format", "question": "output中是否将\"ten percent\"规范化成了\"10%\"？", "options": [{"text": "进行了相同或合理的规范化，输出为\"10%\"", "score": 1}, {"text": "没有进行规范化但仍存在\"ten percent\"", "score": 0}, {"text": "不存在该表达或规范化结果错误", "score": -1}], "evidence": "clean: \"10% accuracy\" / oral: \"ten percent accuracy\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在口语词或重复词语", "score": 2}, {"text": "仍存在口语词或重复词语", "score": 0}], "evidence": "oral: \"Need new metric, new metric.\" 中\"new metric\"重复出现"}, {"id": "q004", "category": "rephrase", "question": "output中是否将\"F-one score... no, BLEU score\"处理成了\"BLEU score\"？", "options": [{"text": "去除了\"F-one score... no\"的纠错过程，保留了最终结果\"BLEU score\"", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留了\"F-one score\"等被否定的内容", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"F-one score... no, BLEU score\" / clean: \"BLEU score\""}]}
{"status": "success", "index": 533, "source_record_id": "assigned_records.jsonl:2807", "source_line": 532, "audio": "audio/academic__assigned_recordsjsonl2807.wav", "scene": "academic", "language": "en", "oral": "Thanks for talk. I think the gradient clipping... clipping might be key here. The threshold was ten... no, twenty... wait wrong, it was fifty! Fifty! I wonder if fifty fifty is optimal for convergence, so what do you think about this specific value?", "clean": "Thanks for the talk. I think the gradient clipping might be key here. The threshold was 50! I wonder if 50 is optimal for convergence, so what do you think about this specific value?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Thanks for the talk”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Thanks for the talk."}, {"id": "q002", "category": "content", "question": "output中是否保留了“gradient clipping”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I think the gradient clipping might be key here."}, {"id": "q003", "category": "content", "question": "output中是否保留了“optimal for convergence”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I wonder if 50 is optimal for convergence"}, {"id": "q004", "category": "format", "question": "output中是否将“fifty”规范化成了“50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "The threshold was 50! / it was fifty! Fifty!"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clipping... clipping / fifty fifty"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“ten... no, twenty... wait wrong, it was fifty! Fifty!”处理成了“50”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "The threshold was ten... no, twenty... wait wrong, it was fifty! Fifty! -> The threshold was 50!"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“fifty fifty”处理成了“50”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I wonder if fifty fifty is optimal -> I wonder if 50 is optimal"}]}
{"status": "success", "index": 535, "source_record_id": "assigned_records.jsonl:2776", "source_line": 531, "audio": "audio/academic__assigned_recordsjsonl2776.wav", "scene": "academic", "language": "en", "oral": "So Vaswani said it is essentially a weighted average. But my take is... my take is it is more like... well, a soft lookup table. We set the head count to eight... no, twelve... wait wrong, it is sixteen! It is just... how to say... if we treat queries as keys... if we treat queries as keys, we get this dynamic routing, yeah.", "clean": "Vaswani said it is essentially a weighted average. But my take is it is more like a soft lookup table. We set the head count to 16! If we treat queries as keys, we get this dynamic routing, yeah.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Vaswani”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Vaswani said it is essentially"}, {"id": "q002", "category": "content", "question": "output中是否存在“weighted average”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: essentially a weighted average"}, {"id": "q003", "category": "content", "question": "output中是否存在“soft lookup table”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: more like a soft lookup table"}, {"id": "q004", "category": "content", "question": "output中是否存在“dynamic routing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: get this dynamic routing"}, {"id": "q005", "category": "format", "question": "output中是否将“sixteen”规范化成了“16”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sixteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: it is sixteen / clean: it is 16"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So, my take is... my take is, well, It is just... how to say..., if we treat queries as keys... if we treat queries as keys"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“eight... no, twelve... wait wrong, it is sixteen”处理成了“16”（或“sixteen”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: eight... no, twelve... wait wrong, it is sixteen! / clean: 16!"}]}
{"status": "success", "index": 534, "source_record_id": "assigned_records.jsonl:2775", "source_line": 530, "audio": "audio/academic__assigned_recordsjsonl2775.wav", "scene": "academic", "language": "en", "oral": "So like if we look at the baseline we got about eighty four point two percent accuracy but the memory footprint is just too high for the edge device. I mean we tried increasing the hidden dimension to five hundred twelve and it just... well maybe we should say it didn't scale linearly. Um so I think we should... uh... if we just... actually let's just swap the whole MLP block for a LoRA adapter to keep it lightweight.", "clean": "If we look at the baseline, we got about 84.2% accuracy, but the memory footprint is just too high for the edge device. We tried increasing the hidden dimension to 512 and it didn't scale linearly. I think we should swap the whole MLP block for a LoRA adapter to keep it lightweight.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So like, I mean, Um, uh, just... well maybe we should say"}, {"id": "q002", "category": "format", "question": "output中是否将“eighty four point two percent”规范化成了“84.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty four point two percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eighty four point two percent -> 84.2%"}, {"id": "q003", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred twelve -> 512"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“it just... well maybe we should say it didn't scale linearly”处理成了“it didn't scale linearly”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "it just... well maybe we should say it didn't scale linearly -> it didn't scale linearly"}, {"id": "q005", "category": "content", "question": "output中是否存在“look at the baseline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "look at the baseline"}, {"id": "q006", "category": "content", "question": "output中是否存在“memory footprint is just too high for the edge device”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the memory footprint is just too high for the edge device"}, {"id": "q007", "category": "content", "question": "output中是否存在“increasing the hidden dimension”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "increasing the hidden dimension"}, {"id": "q008", "category": "content", "question": "output中是否存在“swap the whole MLP block for a LoRA adapter”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "swap the whole MLP block for a LoRA adapter"}, {"id": "q009", "category": "content", "question": "output中是否存在“keep it lightweight”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "keep it lightweight"}]}
{"status": "success", "index": 536, "source_record_id": "assigned_records.jsonl:2945", "source_line": 535, "audio": "audio/academic__assigned_recordsjsonl2945.wav", "scene": "academic", "language": "en", "oral": "Basically not significant, yeah. p-value is... p-value is zero point zero six, which just misses threshold. I think we need more samples, more samples, maybe five hundred instead of three hundred, to really confirm if gain is real, you know?", "clean": "Not significant. p-value is 0.06, which just misses threshold. I think we need more samples, maybe 500 instead of 300, to really confirm if gain is real.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“misses threshold”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "which just misses threshold."}, {"id": "q002", "category": "content", "question": "output中是否存在“confirm if gain is real”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "to really confirm if gain is real"}, {"id": "q003", "category": "format", "question": "output中是否将“zero point zero six”规范化成了“0.06”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "p-value is zero point zero six -> p-value is 0.06"}, {"id": "q004", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "maybe five hundred -> maybe 500"}, {"id": "q005", "category": "format", "question": "output中是否将“three hundred”规范化成了“300”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "instead of three hundred -> instead of 300"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Basically, yeah, is... p-value is, more samples more samples, you know?"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“p-value is... p-value is”处理成了“p-value is”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了重复或解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "p-value is... p-value is -> p-value is"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“more samples, more samples”处理成了“more samples”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了重复或解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "more samples, more samples -> more samples"}]}
{"status": "success", "index": 539, "source_record_id": "assigned_records.jsonl:3299", "source_line": 541, "audio": "audio/academic__assigned_recordsjsonl3299.wav", "scene": "academic", "language": "en", "oral": "So, the reviewer said the baseline is too weak, but, uh, I think the p-value of zero point zero five is sufficient for this proof of concept, right?", "clean": "The reviewer said the baseline is too weak, but I think the p-value of 0.05 is sufficient for this proof of concept, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, ... but, uh, I think"}, {"id": "q002", "category": "format", "question": "output中是否将“zero point zero five”规范化成了“0.05”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "zero point zero five -> 0.05"}, {"id": "q003", "category": "content", "question": "output中是否存在“reviewer said the baseline is too weak”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the reviewer said the baseline is too weak"}, {"id": "q004", "category": "content", "question": "output中是否存在“proof of concept”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "proof of concept"}]}
{"status": "success", "index": 537, "source_record_id": "assigned_records.jsonl:2525", "source_line": 528, "audio": "audio/academic__assigned_recordsjsonl2525.wav", "scene": "academic", "language": "en", "oral": "Honestly, contrastive learning is basically just... uh, pushing positive pairs together and pulling negatives apart in the embedding space. So, like, if we take a batch of five hundred twelve samples, we use a contrastive loss, maybe NT-Xent, to ensure the augmented views of the same image are close. It is sort of... wait, actually, the key is the temperature hyperparameter, maybe zero point zero seven, which controls how sharply the model penalizes hard negatives. It can be tricky to tune, but that is essentially how we get those robust representations without labels.", "clean": "Honestly, contrastive learning is just pushing positive pairs together and pulling negatives apart in the embedding space. So, if we take a batch of 512 samples, we use a contrastive loss, maybe NT-Xent, to ensure the augmented views of the same image are close. The key is the temperature hyperparameter, maybe 0.07, which controls how sharply the model penalizes hard negatives. It can be tricky to tune, but that is essentially how we get those robust representations without labels.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pushing positive pairs together and pulling negatives apart”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: pushing positive pairs together and pulling negatives apart"}, {"id": "q002", "category": "content", "question": "output中是否保留了“augmented views of the same image”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: augmented views of the same image"}, {"id": "q003", "category": "content", "question": "output中是否保留了“penalizes hard negatives”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: penalizes hard negatives"}, {"id": "q004", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: five hundred twelve, clean: 512"}, {"id": "q005", "category": "format", "question": "output中是否将“zero point zero seven”规范化成了“0.07”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero seven”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: zero point zero seven, clean: 0.07"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, like, sort of, wait, actually"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“It is sort of... wait, actually, the key is”处理成了“The key is”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: It is sort of... wait, actually, the key is, clean: The key is"}]}
{"status": "success", "index": 538, "source_record_id": "assigned_records.jsonl:3016", "source_line": 536, "audio": "audio/academic__assigned_recordsjsonl3016.wav", "scene": "academic", "language": "en", "oral": "I mean, if we just, uh, stick with the current transformer block and maybe, uh, scale the hidden dimension to five hundred twelve... oh no, it was seven hundred sixty eight, then we could probably, you know, mitigate some of that gradient vanishing issue without needing to, like, re-initialize the whole weights matrix, right?", "clean": "If we just stick with the current transformer block and maybe scale the hidden dimension to 768, then we could probably mitigate some of that gradient vanishing issue without needing to re-initialize the whole weights matrix, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“stick with the current transformer block”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: stick with the current transformer block"}, {"id": "q002", "category": "content", "question": "output中是否保留了“mitigate some of that gradient vanishing issue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: mitigate some of that gradient vanishing issue"}, {"id": "q003", "category": "content", "question": "output中是否保留了“re-initialize the whole weights matrix”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: re-initialize the whole weights matrix"}, {"id": "q004", "category": "format", "question": "output中是否将“seven hundred sixty eight”规范化成了“768”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven hundred sixty eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: seven hundred sixty eight; clean: 768"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I mean, uh, you know, like"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“five hundred twelve... oh no, it was seven hundred sixty eight”处理成了“768”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: five hundred twelve... oh no, it was seven hundred sixty eight; clean: 768"}]}
{"status": "success", "index": 541, "source_record_id": "assigned_records.jsonl:3086", "source_line": 539, "audio": "audio/academic__assigned_recordsjsonl3086.wav", "scene": "academic", "language": "en", "oral": "Honestly, I think we should use a transformer, a transformer for this. The latency is... oh no, it is not twelve milliseconds, it is fifteen milliseconds. we need to optimize the weights, optimize the weights in that new garden... I mean, the new Garden project.", "clean": "Honestly, I think we should use a transformer for this. The latency is 15 milliseconds. We need to optimize the weights in the new Garden project.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“use a transformer”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "use a transformer"}, {"id": "q002", "category": "format", "question": "output中是否将“fifteen milliseconds”规范化成了“15 milliseconds”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "fifteen milliseconds -> 15 milliseconds"}, {"id": "q003", "category": "format", "question": "output中是否将“garden”规范化成了首字母大写的“Garden”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "new garden -> new Garden"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "a transformer, a transformer; optimize the weights, optimize the weights"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“oh no, it is not twelve milliseconds, it is fifteen milliseconds”处理成了“15 milliseconds”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oh no, it is not twelve milliseconds, it is fifteen milliseconds -> 15 milliseconds"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“new garden... I mean, the new Garden project.”处理成了“new Garden project”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "new garden... I mean, the new Garden project. -> new Garden project"}]}
{"status": "success", "index": 540, "source_record_id": "assigned_records.jsonl:306", "source_line": 537, "audio": "audio/academic__assigned_recordsjsonl306.wav", "scene": "academic", "language": "en", "oral": "So looking at the ablation, we saw the FID score dropped to twelve point four, which is good, and then, uh, we tried adding stochastic depth for vision transformers but it didn't really help with out of distribution robustness in medical imaging, plus we checked the FLOPs, just to see if it scaled like Kaplan et al. twenty twenty, but it's just... how should I put it... not quite there yet.", "clean": "Looking at the ablation, we saw the FID score dropped to 12.4, which is good, and then we tried adding stochastic depth for Vision Transformers but it didn't really help with out-of-distribution robustness in medical imaging, plus we checked the FLOPs, just to see if it scaled like Kaplan et al. 2020, but it's just not quite there yet.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“ablation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Looking at the ablation"}, {"id": "q002", "category": "content", "question": "output中是否保留了“FID score”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: we saw the FID score dropped"}, {"id": "q003", "category": "content", "question": "output中是否保留了“stochastic depth”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: we tried adding stochastic depth"}, {"id": "q004", "category": "content", "question": "output中是否保留了“medical imaging”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: robustness in medical imaging"}, {"id": "q005", "category": "content", "question": "output中是否保留了“not quite there yet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: but it's just not quite there yet"}, {"id": "q006", "category": "format", "question": "output中是否将“twelve point four”规范化成了“12.4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve point four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twelve point four, clean: 12.4"}, {"id": "q007", "category": "format", "question": "output中是否将“vision transformers”规范化成了首字母大写的“Vision Transformers”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“vision transformers”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: vision transformers, clean: Vision Transformers"}, {"id": "q008", "category": "format", "question": "output中是否将“out of distribution”规范化成了带连字符的“out-of-distribution”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“out of distribution”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: out of distribution, clean: out-of-distribution"}, {"id": "q009", "category": "format", "question": "output中是否将“FLOPs”规范化为了正确的大小写形式“FLOPs”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“FLOPs”或类似发音词", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: FLOPs, clean: FLOPs"}, {"id": "q010", "category": "format", "question": "output中是否将“twenty twenty”规范化成了“2020”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twenty twenty, clean: 2020"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So, uh, how should I put it"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“but it's just... how should I put it... not quite there yet”处理成了“but it's just not quite there yet”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: but it's just... how should I put it... not quite there yet., clean: but it's just not quite there yet."}]}
{"status": "success", "index": 542, "source_record_id": "assigned_records.jsonl:3280", "source_line": 540, "audio": "audio/academic__assigned_recordsjsonl3280.wav", "scene": "academic", "language": "en", "oral": "Aha! So contrastive learning basically pulls positive pairs closer, pulls positive pairs closer in latent space, while pushing negatives apart. We usually use a batch size of two hundred fifty six... oh no, five hundred twelve, to stabilize gradients, just to stabilize gradients, you know?", "clean": "Contrastive learning pulls positive pairs closer in latent space, while pushing negatives apart. We usually use a batch size of 512 to stabilize gradients.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“contrastive learning pulls positive pairs closer in latent space”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Contrastive learning pulls positive pairs closer in latent space"}, {"id": "q002", "category": "content", "question": "output中是否保留了“pushing negatives apart”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: while pushing negatives apart"}, {"id": "q003", "category": "content", "question": "output中是否保留了“stabilize gradients”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: to stabilize gradients"}, {"id": "q004", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在该数字或规范化结果", "score": -1}], "evidence": "oral: five hundred twelve; clean: 512"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Aha! So, basically, pulls positive pairs closer, pulls positive pairs closer, just to stabilize gradients, you know?"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“two hundred fifty six... oh no, five hundred twelve”处理成了“five hundred twelve”（或512）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: two hundred fifty six... oh no, five hundred twelve; clean: 512"}]}
{"status": "success", "index": 543, "source_record_id": "assigned_records.jsonl:3070", "source_line": 538, "audio": "audio/academic__assigned_recordsjsonl3070.wav", "scene": "academic", "language": "en", "oral": "Hmm, first the baseline performance... actually, what I wanted to ask is, then you mentioned you mentioned the learning rate being zero point zero zero one, how does that affect the convergence? And I think, how to say, the loss curve loss curve looks a bit noisy, so finally, did you try any other optimizers, like AdamW, to see if it helps stabilize the training process, ya?", "clean": "You mentioned the learning rate being 0.001, how does that affect the convergence? The loss curve looks a bit noisy, so finally, did you try any other optimizers, like AdamW, to see if it helps stabilize the training process?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Hmm, you mentioned you mentioned, loss curve loss curve, ya"}, {"id": "q002", "category": "format", "question": "output中是否将“zero point zero zero one”规范化成了“0.001”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zero point zero zero one”", "score": 0}, {"text": "不存在该词或数字格式错误", "score": -1}], "evidence": "zero point zero zero one -> 0.001"}, {"id": "q003", "category": "format", "question": "output中是否将“AdamW”保留为了“AdamW”（注意大小写）？", "options": [{"text": "保留了“AdamW”的正确大小写", "score": 1}, {"text": "存在该词但大小写错误（如“adamw”或“Adamw”）", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "AdamW"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“first the baseline performance... actually, what I wanted to ask is, then you mentioned”处理成了“You mentioned”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了重新表述的过程但没保留最终结果“You mentioned”", "score": 1}, {"text": "没有去除重新表述的过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "first the baseline performance... actually, what I wanted to ask is, then you mentioned -> You mentioned"}, {"id": "q005", "category": "content", "question": "output中是否存在“learning rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "learning rate"}, {"id": "q006", "category": "content", "question": "output中是否存在“convergence”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "convergence"}, {"id": "q007", "category": "content", "question": "output中是否存在“loss curve”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "loss curve"}, {"id": "q008", "category": "content", "question": "output中是否存在“noisy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "noisy"}, {"id": "q009", "category": "content", "question": "output中是否存在“optimizers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "optimizers"}, {"id": "q010", "category": "content", "question": "output中是否存在“stabilize the training process”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stabilize the training process"}]}
{"status": "success", "index": 545, "source_record_id": "assigned_records.jsonl:405", "source_line": 543, "audio": "audio/academic__assigned_recordsjsonl405.wav", "scene": "academic", "language": "en", "oral": "So we started by using contrastive learning for the initial representation, but then we tried to, uh, sort of... actually we shifted to a curriculum learning approach to stabilize training. We're seeing perplexity drop to about four point two, which is great, but we're still trying to, how should I put it, optimize the knowledge distillation process from PaLM two. We used a teacher model with five hundred forty four billion parameters and... well, we're basically compressing it into a smaller student, you know, right?", "clean": "So we started by using contrastive learning for the initial representation, but then we shifted to a curriculum learning approach to stabilize training. We're seeing perplexity drop to about 4.2, which is great, but we're still trying to optimize the knowledge distillation process from PaLM 2. We used a teacher model with 544 billion parameters and we're compressing it into a smaller student, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“contrastive learning”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: using contrastive learning for the initial representation"}, {"id": "q002", "category": "content", "question": "output中是否保留了“curriculum learning”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: shifted to a curriculum learning approach"}, {"id": "q003", "category": "content", "question": "output中是否保留了“knowledge distillation”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: optimize the knowledge distillation process"}, {"id": "q004", "category": "format", "question": "output中是否将“four point two”规范化成了“4.2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four point two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four point two, clean: 4.2"}, {"id": "q005", "category": "format", "question": "output中是否将“PaLM two”规范化成了“PaLM 2”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“PaLM two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: PaLM two, clean: PaLM 2"}, {"id": "q006", "category": "format", "question": "output中是否将“five hundred forty four billion”规范化成了“544 billion”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred forty four billion”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred forty four billion, clean: 544 billion"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, sort of, how should I put it, well, you know"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“tried to, uh, sort of... actually we shifted to”处理成了“shifted to”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: tried to, uh, sort of... actually we shifted to, clean: shifted to"}]}
{"status": "success", "index": 544, "source_record_id": "assigned_records.jsonl:3324", "source_line": 542, "audio": "audio/academic__assigned_recordsjsonl3324.wav", "scene": "academic", "language": "en", "oral": "Wait! So the current F-one score is... uh... it is twenty-two percent... oh no, twenty-eight point five percent. Just, we need... I mean, if we integrate this new metric in the... in the new system, it will be... how to say... more robust for long-tail distributions, ha.", "clean": "The current F1 score is 28.5%. If we integrate this new metric in the new system, it will be more robust for long-tail distributions.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“F-one”规范化成了“F1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“F-one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"F-one\", clean: \"F1\""}, {"id": "q002", "category": "format", "question": "output中是否将“twenty-eight point five percent”规范化成了“28.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty-eight point five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty-eight point five percent\", clean: \"28.5%\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Just, we need... I mean, if we integrate”处理成了“If we integrate”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Just, we need... I mean, if we integrate\", clean: \"If we integrate\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh\", \"oh no\", \"in the... in the\", \"how to say\", \"ha\""}, {"id": "q005", "category": "content", "question": "output中是否存在“integrate this new metric”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"integrate this new metric\""}, {"id": "q006", "category": "content", "question": "output中是否存在“in the new system”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"in the new system\""}, {"id": "q007", "category": "content", "question": "output中是否存在“more robust for long-tail distributions”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"more robust for long-tail distributions\""}]}
{"status": "success", "index": 546, "source_record_id": "assigned_records.jsonl:699", "source_line": 549, "audio": "audio/academic__assigned_recordsjsonl699.wav", "scene": "academic", "language": "en", "oral": "Wait! So we're seeing huge bottleneck in inference latency for quantized weights, and honestly, just implementing Grouped Query Attention... oh no, I mean group query attention... is helping, but we need better metric. Like, how do we measure tokens per second when we're dealing with, how should I put it, effective data curation for synthetic pretraining? I think we can hit eighty five tokens per second, maybe ninety two... no, wait, ninety two tokens per second, if we optimize the cache, right?", "clean": "Wait! So we're seeing a huge bottleneck in inference latency for quantized weights, and honestly, just implementing Grouped Query Attention is helping, but we need a better metric. How do we measure tokens per second when we're dealing with effective data curation for synthetic pretraining? I think we can hit 85 tokens per second, maybe 92 tokens per second, if we optimize the cache, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“量化权重推理延迟的巨大瓶颈”（huge bottleneck in inference latency for quantized weights）这一语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: huge bottleneck in inference latency for quantized weights"}, {"id": "q002", "category": "content", "question": "output中是否保留了“合成预训练的有效数据整理”（effective data curation for synthetic pretraining）这一语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: effective data curation for synthetic pretraining"}, {"id": "q003", "category": "content", "question": "output中是否保留了“优化缓存”（optimize the cache）这一语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: optimize the cache"}, {"id": "q004", "category": "format", "question": "output中是否将“eighty five”规范化成了“85”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 85 tokens per second; oral: eighty five tokens per second"}, {"id": "q005", "category": "format", "question": "output中是否将“ninety two”规范化成了“92”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ninety two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 92 tokens per second; oral: ninety two tokens per second"}, {"id": "q006", "category": "format", "question": "output中是否将“group query attention”规范化成了首字母大写的“Grouped Query Attention”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“group query attention”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Grouped Query Attention; oral: group query attention"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: oh no, I mean; Like; how should I put it; no, wait"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“Grouped Query Attention... oh no, I mean group query attention”处理成了“Grouped Query Attention”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Grouped Query Attention... oh no, I mean group query attention; clean: Grouped Query Attention"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“maybe ninety two... no, wait, ninety two tokens per second”处理成了“maybe 92 tokens per second”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: maybe ninety two... no, wait, ninety two tokens per second; clean: maybe 92 tokens per second"}]}
{"status": "success", "index": 547, "source_record_id": "assigned_records.jsonl:541", "source_line": 545, "audio": "audio/academic__assigned_recordsjsonl541.wav", "scene": "academic", "language": "en", "oral": "So I been thinking about this... I'm not totally sure but I think we could use Grok-one as base model. Maybe apply Curriculum Learning, apply Curriculum Learning to stabilize training. For the alignment part, we might see RLHF reward hacking in reasoning tasks. I remember the paper said reward hacking occurs at... ten percent... no, twenty percent... wait wrong, is thirty percent of samples! Then we could monitor KL divergence to keep it tight. I was looking at DALL-E three... no, DALL-E two... hold on wrong, is DALL-E three for some multimodal intuition. We need to solve solve this stability issue.", "clean": "So I've been thinking about this... I'm not totally sure but I think we could use Grok-1 as a base model. Maybe apply Curriculum Learning to stabilize training. For the alignment part, we might see RLHF reward hacking in reasoning tasks. I remember the paper said reward hacking occurs at 30% of samples! Then we could monitor KL divergence to keep it tight. I was looking at DALL-E 3 for some multimodal intuition. We need to solve this stability issue.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Curriculum Learning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Maybe apply Curriculum Learning to stabilize training."}, {"id": "q002", "category": "content", "question": "output中是否存在“RLHF reward hacking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: we might see RLHF reward hacking in reasoning tasks."}, {"id": "q003", "category": "content", "question": "output中是否存在“KL divergence”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Then we could monitor KL divergence to keep it tight."}, {"id": "q004", "category": "content", "question": "output中是否存在“multimodal intuition”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I was looking at DALL-E 3 for some multimodal intuition."}, {"id": "q005", "category": "format", "question": "output中是否将“Grok-one”规范化成了“Grok-1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Grok-one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Grok-one; clean: Grok-1"}, {"id": "q006", "category": "format", "question": "output中是否将“thirty percent”规范化成了“30%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirty percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: thirty percent; clean: 30%"}, {"id": "q007", "category": "format", "question": "output中是否将“DALL-E three”规范化成了“DALL-E 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DALL-E three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: DALL-E three; clean: DALL-E 3"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“ten percent... no, twenty percent... wait wrong, is thirty percent”处理成了“30%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ten percent... no, twenty percent... wait wrong, is thirty percent; clean: 30%"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“DALL-E three... no, DALL-E two... hold on wrong, is DALL-E three”处理成了“DALL-E 3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: DALL-E three... no, DALL-E two... hold on wrong, is DALL-E three; clean: DALL-E 3"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: apply Curriculum Learning, apply Curriculum Learning; solve solve"}]}
{"status": "success", "index": 549, "source_record_id": "assigned_records.jsonl:595", "source_line": 547, "audio": "audio/academic__assigned_recordsjsonl595.wav", "scene": "academic", "language": "en", "oral": "So, how does our current baseline actually stack up against the literature, right? Well, just... if we look at the classic Sutskever et al. twenty fourteen approach, it's obviously foundational, but we're seeing a bit of a gap in long context handling. I mean, we tried implementing a sliding window attention, but the Recall at ten is still... uh, it's not quite where we want it, maybe? Like, if you compare it to Wei et al. twenty twenty two, they're leveraging chain of thought, which is great, but we're trying to optimize via mixture of experts. So, just... let me think, we might need to tweak the gating mechanism to actually hit those higher recall numbers, ya know?", "clean": "So, how does our current baseline actually stack up against the literature, right? Well, if we look at the classic Sutskever et al. 2014 approach, it's obviously foundational, but we're seeing a bit of a gap in long context handling. We tried implementing a sliding window attention, but the Recall@10 is still not quite where we want it, maybe? If you compare it to Wei et al. 2022, they're leveraging chain of thought, which is great, but we're trying to optimize via mixture of experts. So, we might need to tweak the gating mechanism to actually hit those higher recall numbers.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“twenty fourteen”规范化成了“2014”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty fourteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty fourteen\", clean: \"2014\""}, {"id": "q002", "category": "format", "question": "output中是否将“Recall at ten”规范化成了“Recall@10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Recall at ten”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Recall at ten\", clean: \"Recall@10\""}, {"id": "q003", "category": "format", "question": "output中是否将“twenty twenty two”规范化成了“2022”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty twenty two\", clean: \"2022\""}, {"id": "q004", "category": "content", "question": "output中是否存在“Sutskever et al.”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Sutskever et al.\""}, {"id": "q005", "category": "content", "question": "output中是否存在“sliding window attention”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"sliding window attention\""}, {"id": "q006", "category": "content", "question": "output中是否存在“Wei et al.”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Wei et al.\""}, {"id": "q007", "category": "content", "question": "output中是否存在“chain of thought”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"chain of thought\""}, {"id": "q008", "category": "content", "question": "output中是否存在“mixture of experts”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"mixture of experts\""}, {"id": "q009", "category": "content", "question": "output中是否存在“gating mechanism”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"gating mechanism\""}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"just...\", \"I mean,\", \"... uh,\", \"Like,\", \"just... let me think,\", \"ya know?\""}]}
{"status": "success", "index": 548, "source_record_id": "assigned_records.jsonl:512", "source_line": 544, "audio": "audio/academic__assigned_recordsjsonl512.wav", "scene": "academic", "language": "en", "oral": "Actually, people think DeepSeek-V3 just scales tokens per second through raw compute, but it's more about the architectural efficiency. The real key is how they handled gradient descent stability in deep networks, which, uh, I mean, it's similar to the early insights from Radford et al. twenty nineteen but applied to a much larger reward model. It's like... wait, the actual throughput is more like... what was it... maybe five hundred tokens per second per user, but the stability part is what actually prevents the divergence.", "clean": "Actually, people think DeepSeek-V3 just scales tokens per second through raw compute, but it's more about the architectural efficiency. The real key is how they handled gradient descent stability in deep networks, which is similar to the early insights from Radford et al. 2019 but applied to a much larger reward model. The actual throughput is maybe 500 tokens per second per user, but the stability part is what actually prevents the divergence.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“architectural efficiency”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "it's more about the architectural efficiency."}, {"id": "q002", "category": "content", "question": "output中是否保留了“gradient descent stability”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "how they handled gradient descent stability in deep networks"}, {"id": "q003", "category": "content", "question": "output中是否保留了“reward model”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "applied to a much larger reward model."}, {"id": "q004", "category": "content", "question": "output中是否保留了“prevents the divergence”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "what actually prevents the divergence."}, {"id": "q005", "category": "format", "question": "output中是否将“twenty nineteen”规范化成了“2019”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty nineteen”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "Radford et al. twenty nineteen -> Radford et al. 2019"}, {"id": "q006", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "maybe five hundred tokens -> maybe 500 tokens"}, {"id": "q007", "category": "format", "question": "output中是否将“DeepSeek V3”规范化成了“DeepSeek-V3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“DeepSeek V3”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "DeepSeek-V3"}, {"id": "q008", "category": "format", "question": "output中是否将“Radford et al”规范化成了“Radford et al.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Radford et al”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "Radford et al."}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, I mean, It's like... wait, what was it..."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“It's like... wait, the actual throughput is more like... what was it... maybe five hundred”处理成了“The actual throughput is maybe 500”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "It's like... wait, the actual throughput is more like... what was it... maybe five hundred tokens per second per user -> The actual throughput is maybe 500 tokens per second per user"}]}
{"status": "success", "index": 550, "source_record_id": "assigned_records.jsonl:557", "source_line": 546, "audio": "audio/academic__assigned_recordsjsonl557.wav", "scene": "academic", "language": "en", "oral": "Sarah, I think we need to double check the p values. The contrastive learning for self supervised vision... the contrastive learning for self supervised vision results look promising but inference latency is way too high. It's like... how should I put it... if we integrate stochastic gradient Langevin dynamics for Bayesian neural nets it might slow down everything. We saw GPT-four o hit eighty-eight point two percent on MMLU... eighty-eight point two percent on MMLU which is great but our current throughput is only twelve frames per second. I mean it's only twelve frames per second.", "clean": "Sarah, I think we need to double check the p-values. The contrastive learning for self-supervised vision results look promising but inference latency is way too high. If we integrate Stochastic Gradient Langevin Dynamics for Bayesian neural nets it might slow down everything. We saw GPT-4o hit 88.2% on MMLU, which is great but our current throughput is only 12 frames per second.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "It's like... how should I put it..., eighty-eight point two percent on MMLU... eighty-eight point two percent on MMLU, I mean it's only twelve frames per second."}, {"id": "q002", "category": "format", "question": "output中是否将“p values”规范化成了“p-values”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“p values”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "p values -> p-values"}, {"id": "q003", "category": "format", "question": "output中是否将“self supervised”规范化成了“self-supervised”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“self supervised”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "self supervised -> self-supervised"}, {"id": "q004", "category": "format", "question": "output中是否将“stochastic gradient Langevin dynamics”规范化成了“Stochastic Gradient Langevin Dynamics”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“stochastic gradient Langevin dynamics”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "stochastic gradient Langevin dynamics -> Stochastic Gradient Langevin Dynamics"}, {"id": "q005", "category": "format", "question": "output中是否将“GPT-four o”规范化成了“GPT-4o”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“GPT-four o”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "GPT-four o -> GPT-4o"}, {"id": "q006", "category": "format", "question": "output中是否将“eighty-eight point two percent”规范化成了“88.2%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty-eight point two percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eighty-eight point two percent -> 88.2%"}, {"id": "q007", "category": "format", "question": "output中是否将“twelve frames per second”中的“twelve”规范化成了“12”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twelve frames per second -> 12 frames per second"}, {"id": "q008", "category": "content", "question": "output中是否存在“inference latency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "inference latency is way too high"}, {"id": "q009", "category": "content", "question": "output中是否存在“Bayesian neural nets”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "for Bayesian neural nets"}, {"id": "q010", "category": "content", "question": "output中是否存在“throughput”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "our current throughput"}, {"id": "q011", "category": "content", "question": "output中是否存在“contrastive learning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "The contrastive learning"}, {"id": "q012", "category": "content", "question": "output中是否存在“double check”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "double check the p-values"}]}
{"status": "success", "index": 551, "source_record_id": "assigned_records.jsonl:621", "source_line": 548, "audio": "audio/academic__assigned_recordsjsonl621.wav", "scene": "academic", "language": "en", "oral": "So, uh, I remember Sarah mentioned, I think, that we should focus on knowledge distillation from frontier models to SLMs to save on compute, right? But, how should I put it, I'm seeing some weird... uh... interference between multitasking heads when we scale down. Like, the Recall at K is looking okay, but the ROC AUC is just... it's dipping, maybe? I mean, if we look at Hoffmann et al. twenty twenty two, the scaling laws suggest we need more tokens, but, you know, we're capped. So yeah, I think we need to re-evaluate the head architecture, maybe?", "clean": "I remember Sarah mentioned that we should focus on knowledge distillation from frontier models to SLMs to save on compute, right? But I'm seeing some weird interference between multitasking heads when we scale down. The Recall@K is looking okay, but the ROC AUC is dipping. If we look at Hoffmann et al. 2022, the scaling laws suggest we need more tokens, but we're capped. So I think we need to re-evaluate the head architecture.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, uh, I think, how should I put it, uh, Like, just... it's, maybe, I mean, you know, So yeah, maybe"}, {"id": "q002", "category": "format", "question": "output中是否将“Recall at K”规范化成了“Recall@K”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Recall at K”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Recall at K -> Recall@K"}, {"id": "q003", "category": "format", "question": "output中是否将“twenty twenty two”规范化成了“2022”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty twenty two -> 2022"}, {"id": "q004", "category": "content", "question": "output中是否存在“knowledge distillation from frontier models to SLMs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "knowledge distillation from frontier models to SLMs"}, {"id": "q005", "category": "content", "question": "output中是否存在“interference between multitasking heads”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "interference between multitasking heads"}, {"id": "q006", "category": "content", "question": "output中是否存在“scaling laws suggest we need more tokens”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "scaling laws suggest we need more tokens"}, {"id": "q007", "category": "content", "question": "output中是否存在“re-evaluate the head architecture”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "re-evaluate the head architecture"}]}
{"status": "success", "index": 552, "source_record_id": "assigned_records.jsonl:72", "source_line": 550, "audio": "audio/academic__assigned_recordsjsonl72.wav", "scene": "academic", "language": "en", "oral": "So, uh, the PI mentioned that we should focus on the emergence of reasoning in large scale models, like, specifically looking at how MCTS, you know, Monte Carlo Tree Search, might act as a verifier. But, well, my take is that we are seeing too much instability. I mean, the perplexity is still spiking, so I tried implementing Flash Attention to speed up the iterations, and maybe, let me think, stochastic weight averaging for the final ensemble. It should stabilize the loss, right? Just, like, it is a bit tricky with the batch size being two thousand forty eight.", "clean": "The PI mentioned that we should focus on the emergence of reasoning in large scale models, specifically looking at how MCTS (Monte Carlo Tree Search) might act as a verifier. But my take is that we are seeing too much instability. The perplexity is still spiking, so I tried implementing FlashAttention to speed up the iterations, and stochastic weight averaging for the final ensemble. It should stabilize the loss, right? It is a bit tricky with the batch size being 2,048.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So, uh, / like, / you know, / But, well, / I mean, / maybe, let me think, / Just, like,"}, {"id": "q002", "category": "format", "question": "output中是否将“two thousand forty eight”规范化成了“2,048”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two thousand forty eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two thousand forty eight -> 2,048"}, {"id": "q003", "category": "format", "question": "output中是否将“Flash Attention”规范化成了“FlashAttention”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Flash Attention”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Flash Attention -> FlashAttention"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“MCTS, you know, Monte Carlo Tree Search”处理成了“MCTS (Monte Carlo Tree Search)”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "MCTS, you know, Monte Carlo Tree Search -> MCTS (Monte Carlo Tree Search)"}, {"id": "q005", "category": "content", "question": "output中是否存在“emergence of reasoning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "emergence of reasoning"}, {"id": "q006", "category": "content", "question": "output中是否存在“perplexity is still spiking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "perplexity is still spiking"}, {"id": "q007", "category": "content", "question": "output中是否存在“stochastic weight averaging”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stochastic weight averaging"}, {"id": "q008", "category": "content", "question": "output中是否存在“stabilize the loss”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stabilize the loss"}]}
{"status": "success", "index": 555, "source_record_id": "assigned_records.jsonl:3398", "source_line": 555, "audio": "audio/customer_service__assigned_recordsjsonl3398.wav", "scene": "customer_service", "language": "zh", "oral": "喂物业吗，如果你们现在能赶紧过来处理的话，那我们今晚就能睡个好觉，我住在武汉市江汉区建设大道五十五号，啊不对，是建设大道五十号光辉大厦，那个邻居一直吵，而且……怎么说呢……如果你们不能快速解决，我就得请求升级版本，直接找社区投诉了！", "clean": "喂物业吗，如果你们现在能赶紧过来处理的话，那我们今晚就能睡个好觉，我住在武汉市江汉区建设大道50号光辉大厦，邻居一直吵，而且如果你们不能快速解决，我就得请求升级版本，直接找社区投诉了！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“睡个好觉”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那我们今晚就能睡个好觉"}, {"id": "q002", "category": "format", "question": "output中是否将“建设大道五十号”规范化成了“建设大道50号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“建设大道五十号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 建设大道五十号; clean: 建设大道50号"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 怎么说呢; clean: 无"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“五十五号，啊不对，是建设大道五十号”处理成了“建设大道50号”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 五十五号，啊不对，是建设大道五十号; clean: 建设大道50号"}, {"id": "q005", "category": "content", "question": "output中是否存在“请求升级版本”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我就得请求升级版本"}]}
{"status": "success", "index": 553, "source_record_id": "assigned_records.jsonl:874", "source_line": 552, "audio": "audio/academic__assigned_recordsjsonl874.wav", "scene": "academic", "language": "en", "oral": "So uh I'm thinking we could implement quantization aware training for four bit weights to shrink the footprint and then also do some knowledge distillation from proprietary to open models. Plus I want to integrate FlashAttention two... oh no, FlashAttention three for the speedup, and maybe use Grouped Query Attention to keep KV cache manageable. We can evaluate quality using FID score, probably around... uh... twenty four point five, I think.", "clean": "I'm thinking we could implement quantization aware training for 4-bit weights to shrink the footprint and then also do some knowledge distillation from proprietary to open models. Plus I want to integrate FlashAttention 3 for the speedup, and maybe use Grouped Query Attention to keep KV cache manageable. We can evaluate quality using FID score, probably around 24.5, I think.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“quantization aware training”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: quantization aware training"}, {"id": "q002", "category": "content", "question": "output中是否存在“shrink the footprint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: shrink the footprint"}, {"id": "q003", "category": "content", "question": "output中是否存在“knowledge distillation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: knowledge distillation"}, {"id": "q004", "category": "content", "question": "output中是否存在“proprietary to open models”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: proprietary to open models"}, {"id": "q005", "category": "content", "question": "output中是否存在“speedup”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: speedup"}, {"id": "q006", "category": "content", "question": "output中是否存在“Grouped Query Attention”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Grouped Query Attention"}, {"id": "q007", "category": "content", "question": "output中是否存在“keep KV cache manageable”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: keep KV cache manageable"}, {"id": "q008", "category": "content", "question": "output中是否存在“FID score”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: FID score"}, {"id": "q009", "category": "format", "question": "output中是否将“four bit”规范化成了“4-bit”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four bit”", "score": 0}, {"text": "不存在“4-bit”或“four bit”", "score": -1}], "evidence": "oral: four bit, clean: 4-bit"}, {"id": "q010", "category": "format", "question": "output中是否将“twenty four point five”规范化成了“24.5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty four point five”", "score": 0}, {"text": "不存在“24.5”或“twenty four point five”", "score": -1}], "evidence": "oral: twenty four point five, clean: 24.5"}, {"id": "q011", "category": "format", "question": "output中是否将“FlashAttention three”规范化成了“FlashAttention 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“FlashAttention three”", "score": 0}, {"text": "不存在“FlashAttention 3”或“FlashAttention three”", "score": -1}], "evidence": "oral: FlashAttention three, clean: FlashAttention 3"}, {"id": "q012", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh, ... uh..."}, {"id": "q013", "category": "rephrase", "question": "output中是否将“FlashAttention two... oh no, FlashAttention three”处理成了“FlashAttention 3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: FlashAttention two... oh no, FlashAttention three, clean: FlashAttention 3"}]}
{"status": "success", "index": 554, "source_record_id": "assigned_records.jsonl:3388", "source_line": 554, "audio": "audio/customer_service__assigned_recordsjsonl3388.wav", "scene": "customer_service", "language": "zh", "oral": "喂，那个设计方案得改改，客厅颜色太深太深了，还有那个地址地址是成都市武侯区锦绣路十号，啊不对，是锦绣路十一号，然后我想问下分期乐分期乐能不能走，另外我顺丰单号一零二五八七三六四二五零一四七发你，你查查收没收到。", "clean": "设计方案得改改，客厅颜色太深了，还有地址是成都市武侯区锦绣路11号，然后我想问下分期乐能不能走，另外我顺丰单号102587364250147发你，你查查收没收到。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“设计方案得改改”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"设计方案得改改\""}, {"id": "q002", "category": "content", "question": "output中是否存在“客厅颜色太深了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"客厅颜色太深了\""}, {"id": "q003", "category": "content", "question": "output中是否存在“成都市武侯区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"成都市武侯区\""}, {"id": "q004", "category": "content", "question": "output中是否存在“分期乐能不能走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"分期乐能不能走\""}, {"id": "q005", "category": "content", "question": "output中是否存在“顺丰单号”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"顺丰单号\""}, {"id": "q006", "category": "content", "question": "output中是否存在“发你，你查查收没收到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"发你，你查查收没收到\""}, {"id": "q007", "category": "format", "question": "output中是否将“十一号”规范化成了“11号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十一号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"锦绣路11号\", oral: \"锦绣路十一号\""}, {"id": "q008", "category": "format", "question": "output中是否将“一零二五八七三六四二五零一四七”规范化成了“102587364250147”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一零二五八七三六四二五零一四七”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"102587364250147\", oral: \"一零二五八七三六四二五零一四七\""}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"喂，那个\", \"太深太深了\", \"地址地址\", \"分期乐分期乐\""}, {"id": "q010", "category": "rephrase", "question": "output中是否将“锦绣路十号，啊不对，是锦绣路十一号”处理成了“锦绣路11号”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"锦绣路十号，啊不对，是锦绣路十一号\", clean: \"锦绣路11号\""}]}
{"status": "success", "index": 557, "source_record_id": "assigned_records.jsonl:3406", "source_line": 556, "audio": "audio/customer_service__assigned_recordsjsonl3406.wav", "scene": "customer_service", "language": "zh", "oral": "诶，你说这携号转网能不能快点办完？我想想啊，我得先查询账单详情，查询账单详情看看还欠多少钱。地址是西安市雁塔区曲江新区一百零二号，西安市雁塔区曲江新区一百零二号，你们能帮我预约上门办吗？我想想，应该能预约上门吧。", "clean": "你说这携号转网能不能快点办完？我得先查询账单详情，看看还欠多少钱。地址是西安市雁塔区曲江新区102号，你们能帮我预约上门办吗？应该能预约上门吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“携号转网”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "携号转网"}, {"id": "q002", "category": "content", "question": "output中是否保留了“查询账单详情”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "查询账单详情"}, {"id": "q003", "category": "content", "question": "output中是否保留了“欠多少钱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "看看还欠多少钱"}, {"id": "q004", "category": "content", "question": "output中是否保留了“西安市雁塔区曲江新区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "西安市雁塔区曲江新区"}, {"id": "q005", "category": "content", "question": "output中是否保留了“预约上门办”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "预约上门办"}, {"id": "q006", "category": "format", "question": "output中是否将“一百零二号”规范化成了“102号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一百零二号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "一百零二号 -> 102号"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶、我想想啊、我想想、查询账单详情重复、西安市雁塔区曲江新区一百零二号重复"}]}
{"status": "success", "index": 556, "source_record_id": "assigned_records.jsonl:78", "source_line": 551, "audio": "audio/academic__assigned_recordsjsonl78.wav", "scene": "academic", "language": "en", "oral": "So I was thinking we might need a new metric to track alignment stability in RLHF pipelines because we are seeing some weird variance. Like if we look at Grok-one it is huge so the total FLOPS are just... uh... massive. I wonder if we can leverage stochastic depth to regularize this or maybe account for the attention sink phenomenon in streaming LLMs to keep the KV cache stable. I mean it is basically like... uh... let me rephrase... it is about maintaining distribution shift over time. Do you think that would actually capture the drift or is it too noisy?", "clean": "So I was thinking we might need a new metric to track alignment stability in RLHF pipelines because we are seeing some weird variance. If we look at Grok-1 it is huge so the total FLOPS are just massive. I wonder if we can leverage stochastic depth to regularize this or maybe account for the attention sink phenomenon in streaming LLMs to keep the KV cache stable. It is about maintaining distribution shift over time. Do you think that would actually capture the drift or is it too noisy?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Like if we look at, just... uh... massive, I mean it is basically like... uh..."}, {"id": "q002", "category": "format", "question": "output中是否将“Grok-one”规范化成了“Grok-1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Grok-one”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Grok-one -> Grok-1"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“I mean it is basically like... uh... let me rephrase... it is about maintaining distribution shift”处理成了“It is about maintaining distribution shift”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I mean it is basically like... uh... let me rephrase... it is about maintaining distribution shift over time. -> It is about maintaining distribution shift over time."}, {"id": "q004", "category": "content", "question": "output中是否存在“track alignment stability in RLHF pipelines”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "track alignment stability in RLHF pipelines"}, {"id": "q005", "category": "content", "question": "output中是否存在“leverage stochastic depth to regularize this”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "leverage stochastic depth to regularize this"}, {"id": "q006", "category": "content", "question": "output中是否存在“account for the attention sink phenomenon in streaming LLMs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "account for the attention sink phenomenon in streaming LLMs"}, {"id": "q007", "category": "content", "question": "output中是否存在“capture the drift or is it too noisy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "capture the drift or is it too noisy"}]}
{"status": "success", "index": 559, "source_record_id": "assigned_records.jsonl:3685", "source_line": 560, "audio": "audio/customer_service__assigned_recordsjsonl3685.wav", "scene": "customer_service", "language": "zh", "oral": "我这屋里水管突然爆了，水漫全地，诶，快帮我报修，地址是西安市雁塔区雁塔路二十号，二十号哈，快点来。", "clean": "我这屋里水管突然爆了，水漫全地，快帮我报修，地址是西安市雁塔区雁塔路20号，快点来。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“水漫全地”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 水漫全地"}, {"id": "q002", "category": "content", "question": "output中是否保留了“西安市雁塔区雁塔路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 西安市雁塔区雁塔路"}, {"id": "q003", "category": "format", "question": "output中是否将“二十号”规范化成了“20号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二十号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 二十号, clean: 20号"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 二十号，二十号哈"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“雁塔路二十号，二十号哈”处理成了“雁塔路20号”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 雁塔路二十号，二十号哈, clean: 雁塔路20号"}]}
{"status": "success", "index": 560, "source_record_id": "assigned_records.jsonl:3418", "source_line": 557, "audio": "audio/customer_service__assigned_recordsjsonl3418.wav", "scene": "customer_service", "language": "zh", "oral": "诶，我这外卖快超时一小时哈！就是我下单地址填成苏州工业园区金风路九十九号，不对，是青岛市市南区香港中路二十号，你们帮我看看怎么回事，单号P五三二七六一八二四三零六九，快给我查查怎么还没送到！", "clean": "我这外卖快超时1小时哈！我下单地址填成青岛市市南区香港中路20号，你们帮我看看怎么回事，单号P5327618243069，快给我查查怎么还没送到！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“外卖快超时”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我这外卖快超时一小时哈！ -> 我这外卖快超时1小时哈！"}, {"id": "q002", "category": "format", "question": "output中是否将“一小时”规范化成了“1小时”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一小时”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "快超时一小时 -> 快超时1小时"}, {"id": "q003", "category": "format", "question": "output中是否将“二十号”规范化成了“20号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二十号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "香港中路二十号 -> 香港中路20号"}, {"id": "q004", "category": "format", "question": "output中是否将“P五三二七六一八二四三零六九”规范化成了“P5327618243069”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“P五三二七六一八二四三零六九”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "单号P五三二七六一八二四三零六九 -> 单号P5327618243069"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，我这...就是我... -> 我这...我..."}, {"id": "q006", "category": "rephrase", "question": "output中是否删除了“苏州工业园区金风路九十九号，不对，是”并保留了最终地址“青岛市市南区香港中路20号”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "删除了错误地址和纠错过程但最终地址不完整", "score": 1}, {"text": "仍保留错误地址或纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "下单地址填成苏州工业园区金风路九十九号，不对，是青岛市市南区香港中路二十号 -> 下单地址填成青岛市市南区香港中路20号"}]}
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{"status": "success", "index": 608, "source_record_id": "assigned_records.jsonl:10275", "source_line": 607, "audio": "audio/daily_chat__assigned_recordsjsonl10275.wav", "scene": "daily_chat", "language": "en", "oral": "man i got this deal... i got this deal for a trip to Leeds and like maybe Trafalgar Square too. im not totally shore but i think it was bang on... like maybe five hundred pounds for everything. we go to Blue Mountains... we go to the Blue Mountains after... i mean we visit the mountains then hit Popeyes. it was just... just way too cheap.", "clean": "I got this deal for a trip to Leeds and maybe Trafalgar Square too. I'm not totally sure, but I think it was bang on, maybe £500 for everything. We visit the Blue Mountains then hit Popeyes. It was just way too cheap.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Leeds”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'trip to Leeds'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Trafalgar Square”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'maybe Trafalgar Square too'"}, {"id": "q003", "category": "content", "question": "output中是否保留了“bang on”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'it was bang on'"}, {"id": "q004", "category": "content", "question": "output中是否保留了“sure”（对应oral中的“shore”）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 'shore', clean: 'sure'"}, {"id": "q005", "category": "content", "question": "output中是否保留了“Blue Mountains”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'visit the Blue Mountains'"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Popeyes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'hit Popeyes'"}, {"id": "q007", "category": "content", "question": "output中是否保留了“way too cheap”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'way too cheap'"}, {"id": "q008", "category": "format", "question": "output中是否将“five hundred pounds”规范化成了“£500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred pounds”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'five hundred pounds', clean: '£500'"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'man', 'like', 'i got this deal... i got this deal', 'just... just'"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“we go to Blue Mountains... we go to the Blue Mountains after... i mean we visit the mountains”处理成了“We visit the Blue Mountains”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'we go to Blue Mountains... we go to the Blue Mountains after... i mean we visit the mountains', clean: 'We visit the Blue Mountains'"}]}
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{"status": "success", "index": 611, "source_record_id": "assigned_records.jsonl:10495", "source_line": 609, "audio": "audio/daily_chat__assigned_recordsjsonl10495.wav", "scene": "daily_chat", "language": "en", "oral": "so like around turn of year i was thinking about discussing fitness challenge... discussing fitness challenge with you. if we hit gym after The Daily Grind... then we could maybe grab Subway. it is like... wait... it is like deciding on name for new pet... deciding on name... just takes forever to pick one.", "clean": "Around the turn of the year, I was thinking about discussing a fitness challenge with you. If we hit the gym after The Daily Grind, then we could maybe grab Subway. It is like deciding on a name for a new pet; it just takes forever to pick one.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“fitness challenge”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"discussing a fitness challenge\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“deciding on a name for a new pet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"deciding on a name for a new pet\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“takes forever to pick one”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"takes forever to pick one\""}, {"id": "q004", "category": "format", "question": "output中是否将“The Daily Grind”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“the daily grind”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"The Daily Grind\""}, {"id": "q005", "category": "format", "question": "output中是否将“Subway”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“subway”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"Subway\""}, {"id": "q006", "category": "format", "question": "output中是否将“new pet”和“it”之间的标点规范化成了分号“;”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在逗号或无标点", "score": 0}, {"text": "不存在该标点或规范化错误", "score": -1}], "evidence": "clean: \"new pet; it\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"so like\", \"discussing fitness challenge... discussing fitness challenge\", \"it is like... wait... it is like\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“it is like... wait... it is like”处理成了“It is like”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"it is like... wait... it is like\", clean: \"It is like\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“discussing fitness challenge... discussing fitness challenge”处理成了“discussing a fitness challenge”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"discussing fitness challenge... discussing fitness challenge\", clean: \"discussing a fitness challenge\""}]}
{"status": "success", "index": 610, "source_record_id": "assigned_records.jsonl:10366", "source_line": 608, "audio": "audio/daily_chat__assigned_recordsjsonl10366.wav", "scene": "daily_chat", "language": "en", "oral": "so i usually hit gym late afternoon late afternoon but i was thinking maybe... oh wait i actually gotta spend time coordinating a dog walking schedule coordinating a dog walking schedule for my sister in brixton around five o clock and honestly man i really miss those old dubai workouts old dubai workouts where i used to lift heavy stuff before moving here it was just different you know", "clean": "I usually hit the gym late afternoon, but I actually gotta spend time coordinating a dog walking schedule for my sister in Brixton around 5 o'clock. Honestly man, I really miss those old Dubai workouts where I used to lift heavy stuff before moving here; it was just different.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“hit the gym”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'I usually hit the gym' / oral: 'i usually hit gym'"}, {"id": "q002", "category": "content", "question": "output中是否保留了“coordinating a dog walking schedule”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'coordinating a dog walking schedule' / oral: 'coordinating a dog walking schedule'"}, {"id": "q003", "category": "content", "question": "output中是否保留了“for my sister”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'for my sister'"}, {"id": "q004", "category": "content", "question": "output中是否保留了“lift heavy stuff”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'lift heavy stuff'"}, {"id": "q005", "category": "content", "question": "output中是否保留了“Honestly man”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 'Honestly man'"}, {"id": "q006", "category": "format", "question": "output中是否将“brixton”规范化成了首字母大写的“Brixton”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“brixton”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 'Brixton' / oral: 'brixton'"}, {"id": "q007", "category": "format", "question": "output中是否将“five o clock”规范化成了“5 o'clock”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five o clock”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: '5 o'clock' / oral: 'five o clock'"}, {"id": "q008", "category": "format", "question": "output中是否将“dubai”规范化成了首字母大写的“Dubai”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dubai”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 'Dubai' / oral: 'dubai'"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'late afternoon late afternoon', 'coordinating a dog walking schedule coordinating a dog walking schedule', 'you know'"}, {"id": "q010", "category": "rephrase", "question": "output中是否去除了“i was thinking maybe... oh wait”等犹豫和修正过程，直接保留了“i actually gotta”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 'but I actually gotta' / oral: 'but i was thinking maybe... oh wait i actually gotta'"}]}
{"status": "success", "index": 612, "source_record_id": "assigned_records.jsonl:10141", "source_line": 606, "audio": "audio/daily_chat__assigned_recordsjsonl10141.wav", "scene": "daily_chat", "language": "en", "oral": "im not totally sure but i think things used to be like... way cheaper back in the day. i remember my dell xps was... no wait it was a dell inspiron... oh not a dell xps actually it was a lenovo. anyway like if i was deciding on a name for a new puppy i'd probably spend more on dog treats than the pup it self. its like i was talking about a confusing dream where everything cost ten thousand dollars and i was just like im down for that... wait i mean im not down for that at all. it's just crazy how much pricess have gone up", "clean": "I'm not totally sure, but I think things used to be way cheaper back in the day. I remember it was a Lenovo. Anyway, if I was deciding on a name for a new puppy, I'd probably spend more on dog treats than the pup itself. It's like I was talking about a confusing dream where everything cost $10,000 and I was just like I'm not down for that at all. It's just crazy how much prices have gone up", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“way cheaper back in the day”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: way cheaper back in the day"}, {"id": "q002", "category": "content", "question": "output中是否保留了“deciding on a name for a new puppy”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: deciding on a name for a new puppy"}, {"id": "q003", "category": "content", "question": "output中是否保留了“spend more on dog treats than the pup itself”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: spend more on dog treats than the pup itself"}, {"id": "q004", "category": "content", "question": "output中是否保留了“confusing dream”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: confusing dream"}, {"id": "q005", "category": "content", "question": "output中是否保留了“prices have gone up”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: prices have gone up"}, {"id": "q006", "category": "format", "question": "output中是否将“ten thousand dollars”规范化成了“$10,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten thousand dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten thousand dollars, clean: $10,000"}, {"id": "q007", "category": "format", "question": "output中是否将“lenovo”规范化为首字母大写的“Lenovo”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“lenovo”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: lenovo, clean: Lenovo"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like..., no wait, oh not, wait i mean"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“my dell xps was... no wait it was a dell inspiron... oh not a dell xps actually it was a lenovo”处理成了“it was a Lenovo”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: my dell xps was... no wait it was a dell inspiron... oh not a dell xps actually it was a lenovo, clean: I remember it was a Lenovo."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“im down for that... wait i mean im not down for that at all”处理成了“I'm not down for that at all”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: im down for that... wait i mean im not down for that at all, clean: I'm not down for that at all"}]}
{"status": "success", "index": 614, "source_record_id": "assigned_records.jsonl:10655", "source_line": 610, "audio": "audio/daily_chat__assigned_recordsjsonl10655.wav", "scene": "daily_chat", "language": "en", "oral": "man those neighbors are crazy. im not totally sure but i think they sharing a story about a lucky charm... like like talking way too loud. i was just vibing and deciding on a workout split... deciding on a workout split and then boom. they ghosted my request to be quiet. we planning a meal prep sunday... planning a meal prep sunday but i cant even focus.", "clean": "Man, those neighbors are crazy. I'm not totally sure, but I think they're sharing a story about a lucky charm, talking way too loud. I was just vibing and deciding on a workout split, and then boom. They ghosted my request to be quiet. We're planning a meal prep Sunday, but I can't even focus.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“lucky charm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: sharing a story about a lucky charm"}, {"id": "q002", "category": "content", "question": "output中是否存在“workout split”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: deciding on a workout split"}, {"id": "q003", "category": "content", "question": "output中是否存在“meal prep”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: planning a meal prep Sunday"}, {"id": "q004", "category": "content", "question": "output中是否存在“ghosted my request”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ghosted my request to be quiet"}, {"id": "q005", "category": "format", "question": "output中是否将“sunday”规范化成了“Sunday”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sunday”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: meal prep sunday | clean: meal prep Sunday"}, {"id": "q006", "category": "format", "question": "output中是否将“im”规范化成了“I'm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“im”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: im not totally sure | clean: I'm not totally sure"}, {"id": "q007", "category": "format", "question": "output中是否将“cant”规范化成了“can't”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“cant”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: cant even focus | clean: can't even focus"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like like | deciding on a workout split... deciding on a workout split | planning a meal prep sunday... planning a meal prep sunday"}]}
{"status": "success", "index": 615, "source_record_id": "assigned_records.jsonl:10739", "source_line": 611, "audio": "audio/daily_chat__assigned_recordsjsonl10739.wav", "scene": "daily_chat", "language": "en", "oral": "um basically just stayed home mostly but like uh we went to Alexanderplatz and then Tesco Express i think... i was like about five minutes late meetin them and honestly i felt kinda dizzy... we spent like hours just uh debating best type of pasta shape like which one holds sauce better you know... so yeah mostly just that", "clean": "Just stayed home mostly, but we went to Alexanderplatz and then Tesco Express I think. I was about 5 minutes late meeting them and honestly I felt dizzy. We spent hours just debating the best type of pasta shape, like which one holds sauce better. So yeah, mostly just that.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“stayed home mostly”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: basically just stayed home mostly; clean: Just stayed home mostly"}, {"id": "q002", "category": "format", "question": "output中是否将“Alexanderplatz”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: Alexanderplatz; clean: Alexanderplatz"}, {"id": "q003", "category": "format", "question": "output中是否将“Tesco Express”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: Tesco Express; clean: Tesco Express"}, {"id": "q004", "category": "format", "question": "output中是否将“five minutes”规范化成了“5 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five minutes”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: five minutes; clean: 5 minutes"}, {"id": "q005", "category": "content", "question": "output中是否保留了“late meeting them”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: late meetin them; clean: late meeting them"}, {"id": "q006", "category": "content", "question": "output中是否保留了“felt dizzy”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: felt kinda dizzy; clean: felt dizzy"}, {"id": "q007", "category": "content", "question": "output中是否保留了“debating best type of pasta shape”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: debating best type of pasta shape; clean: debating the best type of pasta shape"}, {"id": "q008", "category": "content", "question": "output中是否保留了“holds sauce better”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: holds sauce better; clean: holds sauce better"}, {"id": "q009", "category": "content", "question": "output中是否保留了“mostly just that”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: mostly just that; clean: mostly just that"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: um, like, uh, kinda, you know; clean: 无"}]}
{"status": "success", "index": 613, "source_record_id": "assigned_records.jsonl:10745", "source_line": 612, "audio": "audio/daily_chat__assigned_recordsjsonl10745.wav", "scene": "daily_chat", "language": "en", "oral": "like he was... uh oh right he asks if i fancy a trip to the cotswolds planning a visit to a historic castle and it ten minutes past eight he start complaining bout typo in professional document like seriously who does that", "clean": "He asks if I fancy a trip to the Cotswolds, planning a visit to a historic castle. At 8:10, he started complaining about a typo in a professional document. Like seriously, who does that?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“historic castle”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'a historic castle' / oral: 'a historic castle'"}, {"id": "q002", "category": "content", "question": "output中是否存在“typo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'a typo' / oral: 'typo'"}, {"id": "q003", "category": "content", "question": "output中是否存在“professional document”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'a professional document' / oral: 'professional document'"}, {"id": "q004", "category": "format", "question": "output中是否将“ten minutes past eight”规范化成了“8:10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes past eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 'At 8:10' / oral: 'ten minutes past eight'"}, {"id": "q005", "category": "format", "question": "output中是否将“cotswolds”首字母大写规范化成了“Cotswolds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“cotswolds”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 'Cotswolds' / oral: 'cotswolds'"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'like he was... uh oh right', 'bout'"}]}
{"status": "success", "index": 616, "source_record_id": "assigned_records.jsonl:10819", "source_line": 613, "audio": "audio/daily_chat__assigned_recordsjsonl10819.wav", "scene": "daily_chat", "language": "en", "oral": "um people think Camden has bad clinics but actually they're great... uh we were discussing a favorite childhood cartoon like... wait anyway you oughta see Hana. she used to work in Cape Town and she's like the best dentist around here", "clean": "People think Camden has bad clinics but actually they're great. Anyway, you oughta see Hana. She used to work in Cape Town and she's the best dentist around here", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Camden的诊所其实很好”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Camden has bad clinics but actually they're great"}, {"id": "q002", "category": "content", "question": "output中是否保留了“推荐去看Hana”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "you oughta see Hana"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Hana曾在Cape Town工作”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "She used to work in Cape Town"}, {"id": "q004", "category": "format", "question": "output中是否将“Camden”、“Hana”、“Cape Town”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在这些词", "score": 0}, {"text": "不存在这些词或规范化错误", "score": -1}], "evidence": "Camden, Hana, Cape Town"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "um, uh, wait, like"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“she's like the best dentist”处理成了“she's the best dentist”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了口语化填充词但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "she's like the best dentist -> she's the best dentist"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“wait anyway”处理成了“Anyway”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了犹豫词但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "wait anyway -> Anyway"}]}
{"status": "success", "index": 617, "source_record_id": "assigned_records.jsonl:11030", "source_line": 615, "audio": "audio/daily_chat__assigned_recordsjsonl11030.wav", "scene": "daily_chat", "language": "en", "oral": "you think he cares? i mean... uh... honestly no. like the day before yesterday we were discussing a new workout app and he just... he started complaining about misleading advertisement for Pasta Palace or something about the Maasai Mara. just totally ignored you.", "clean": "You think he cares? Honestly no. The day before yesterday we were discussing a new workout app and he just started complaining about misleading advertisement for Pasta Palace or something about the Maasai Mara. Just totally ignored you.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将句首的“you”规范化成了首字母大写的“You”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“you”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "you think he cares? -> You think he cares?"}, {"id": "q002", "category": "format", "question": "output中是否将“pasta palace”规范化成了首字母大写的“Pasta Palace”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“pasta palace”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Pasta Palace"}, {"id": "q003", "category": "format", "question": "output中是否将“maasai mara”规范化成了首字母大写的“Maasai Mara”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“maasai mara”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Maasai Mara"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "i mean... uh..., like, he just... he"}, {"id": "q005", "category": "content", "question": "output中是否存在“前天”（the day before yesterday）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the day before yesterday"}, {"id": "q006", "category": "content", "question": "output中是否存在“讨论新的健身app”（discussing a new workout app）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "discussing a new workout app"}, {"id": "q007", "category": "content", "question": "output中是否存在“误导性广告”（misleading advertisement）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "misleading advertisement"}, {"id": "q008", "category": "content", "question": "output中是否存在“完全无视你”（totally ignored you）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "totally ignored you"}]}
{"status": "success", "index": 619, "source_record_id": "assigned_records.jsonl:11478", "source_line": 619, "audio": "audio/daily_chat__assigned_recordsjsonl11478.wav", "scene": "daily_chat", "language": "en", "oral": "dreamt I was in Paris... no London... wait wrong it's Prague!", "clean": "Dreamt I was in Prague!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“dreamt I was in Prague”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Dreamt I was in Prague!"}, {"id": "q002", "category": "format", "question": "output中是否将地名“prague”首字母大写规范化成了“Prague”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“prague”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: prague; clean: Prague"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: dreamt I was in Paris... no London... wait wrong it's Prague!"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“Paris... no London... wait wrong it's Prague”处理成了“Prague”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Paris... no London... wait wrong it's Prague!; clean: Prague"}]}
{"status": "success", "index": 620, "source_record_id": "assigned_records.jsonl:11361", "source_line": 618, "audio": "audio/daily_chat__assigned_recordsjsonl11361.wav", "scene": "daily_chat", "language": "en", "oral": "i mean like you gotta stop complaining about slow checkout line at Pret A Manger and then... i dont know... maybe just... like tell Liam he is being kinda cringe also you could just buy him a Nintendo Switch plus... uh... you should just... wait... maybe just try talking it out first", "clean": "You gotta stop complaining about the slow checkout line at Pret A Manger and then maybe just tell Liam he is being cringe, also you could just buy him a Nintendo Switch, but maybe just try talking it out first", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“slow checkout line”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "slow checkout line"}, {"id": "q002", "category": "content", "question": "output中是否保留了“being cringe”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "being cringe"}, {"id": "q003", "category": "content", "question": "output中是否保留了“complaining about”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "complaining about"}, {"id": "q004", "category": "content", "question": "output中是否保留了“talking it out”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "talking it out"}, {"id": "q005", "category": "format", "question": "output中是否将“Pret A Manger”规范化成了“Pret A Manger”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Pret A Manger”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Pret A Manger"}, {"id": "q006", "category": "format", "question": "output中是否将“Nintendo Switch”规范化成了“Nintendo Switch”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Nintendo Switch”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Nintendo Switch"}, {"id": "q007", "category": "format", "question": "output中是否将“Liam”规范化成了“Liam”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Liam”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Liam"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "i mean like, i dont know, kinda, uh, wait"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“plus... uh... you should just... wait... maybe just”处理成了“but maybe just”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "plus... uh... you should just... wait... maybe just -> but maybe just"}]}
{"status": "success", "index": 622, "source_record_id": "assigned_records.jsonl:10867", "source_line": 614, "audio": "audio/daily_chat__assigned_recordsjsonl10867.wav", "scene": "daily_chat", "language": "en", "oral": "Actually oh by the way I was like just v...venting about this passive aggressive coworker and then I start thinking bout planning trip to Christmas market maybe Iceland? Like the Blue Lagoon and stuff but man everything is just so expensive now like imagine paying five hundred dollars for some flight. I mean I was debating train versus plane but trains are like so slow. It's almost as much as like a ticket to the Uffizi museum if you go during peak season. Just... it's just too much.", "clean": "By the way, I was venting about this passive aggressive coworker and then I start thinking about planning a trip to a Christmas market, maybe Iceland? The Blue Lagoon and stuff, but man everything is just so expensive now, imagine paying $500 for some flight. I was debating train versus plane, but trains are so slow. It's almost as much as a ticket to the Uffizi museum if you go during peak season. It's just too much.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually oh, I was like just, v...venting, Like the, like imagine, I mean, like so, like a, Just..."}, {"id": "q002", "category": "format", "question": "output中是否将“five hundred dollars”规范化成了“$500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred dollars -> $500"}, {"id": "q003", "category": "content", "question": "output中是否保留了“passive aggressive coworker”？", "options": [{"text": "完整或等价保留（拼写或大小写不同但读法一致视为等价）", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "passive aggressive coworker"}, {"id": "q004", "category": "content", "question": "output中是否保留了“Christmas market”？", "options": [{"text": "完整或等价保留（拼写或大小写不同但读法一致视为等价）", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Christmas market"}, {"id": "q005", "category": "content", "question": "output中是否保留了“Blue Lagoon”？", "options": [{"text": "完整或等价保留（拼写或大小写不同但读法一致视为等价）", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Blue Lagoon"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Uffizi museum”？", "options": [{"text": "完整或等价保留（拼写或大小写不同但读法一致视为等价）", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Uffizi museum"}, {"id": "q007", "category": "content", "question": "output中是否保留了“train versus plane”？", "options": [{"text": "完整或等价保留（拼写或大小写不同但读法一致视为等价）", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "train versus plane"}]}
{"status": "success", "index": 618, "source_record_id": "assigned_records.jsonl:11645", "source_line": 620, "audio": "audio/daily_chat__assigned_recordsjsonl11645.wav", "scene": "daily_chat", "language": "en", "oral": "um Sofia she... she pissed cause we skint", "clean": "Sofia is pissed cause we're skint", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: um / she... she"}, {"id": "q002", "category": "content", "question": "output中是否存在\"Sofia\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Sofia"}, {"id": "q003", "category": "content", "question": "output中是否存在\"pissed\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pissed"}, {"id": "q004", "category": "content", "question": "output中是否存在\"skint\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: skint"}, {"id": "q005", "category": "content", "question": "output中是否存在\"cause\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: cause"}]}
{"status": "success", "index": 621, "source_record_id": "assigned_records.jsonl:11669", "source_line": 621, "audio": "audio/daily_chat__assigned_recordsjsonl11669.wav", "scene": "daily_chat", "language": "en", "oral": "um if Lachlan wants that movie about Mrs Rossi talking bout stressful family dinner in Leeds then we could watch the Amalfi Coast one instead... it's like a way better choice for tonight", "clean": "If Lachlan wants that movie about Mrs. Rossi talking about stressful family dinner in Leeds, then we could watch the Amalfi Coast one instead... it's a way better choice for tonight", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "um, like"}, {"id": "q002", "category": "format", "question": "output中是否将“Mrs”规范化成了“Mrs.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Mrs”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Mrs Rossi -> Mrs. Rossi"}, {"id": "q003", "category": "format", "question": "output中是否将句首的“if”规范化成了首字母大写的“If”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“if”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "if -> If"}, {"id": "q004", "category": "content", "question": "output中是否存在“talking about”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "talking bout -> talking about"}, {"id": "q005", "category": "content", "question": "output中是否存在“Amalfi Coast”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Amalfi Coast"}, {"id": "q006", "category": "content", "question": "output中是否存在“Lachlan”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Lachlan"}, {"id": "q007", "category": "content", "question": "output中是否存在“Leeds”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Leeds"}, {"id": "q008", "category": "content", "question": "output中是否存在“stressful family dinner”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stressful family dinner"}, {"id": "q009", "category": "content", "question": "output中是否存在“way better choice”？", "options": [{"text": "有（或同音/近音拼写）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "way better choice"}]}
{"status": "success", "index": 624, "source_record_id": "assigned_records.jsonl:11305", "source_line": 617, "audio": "audio/daily_chat__assigned_recordsjsonl11305.wav", "scene": "daily_chat", "language": "en", "oral": "omg you gotta hear this like uh first i was discussing a viral TikTok trend with Jax about ten minutes ago and he told me bout this place... then we decided we should go to the Getty Museum... oh no i mean the Getty Center since it is right there and we can see the view. then finally we thought maybe we can like... planning a visit to a planetarium after that just to make it a whole day trip. honestly this restaurant he mentioned sounds like it is insane like just totally out of this world and i really wanna try it tomorrow maybe... yeah it sounds like a plan", "clean": "OMG you gotta hear this. First, I was discussing a viral TikTok trend with Jax about 10 minutes ago and he told me about this place. Then we decided we should go to the Getty Center since it is right there and we can see the view. Then finally we thought maybe we can plan a visit to a planetarium after that just to make it a whole day trip. Honestly this restaurant he mentioned sounds like it is insane, just totally out of this world, and I really wanna try it tomorrow maybe. Yeah, it sounds like a plan.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“viral TikTok trend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: discussing a viral TikTok trend"}, {"id": "q002", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: about ten minutes ago -> clean: about 10 minutes ago"}, {"id": "q003", "category": "format", "question": "output中是否将“omg”规范化成了“OMG”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“omg”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: omg -> clean: OMG"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like uh, like... planning, like just"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“Getty Museum... oh no i mean the Getty Center”处理成了“Getty Center”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: go to the Getty Museum... oh no i mean the Getty Center -> clean: go to the Getty Center"}, {"id": "q006", "category": "content", "question": "output中是否保留了“planetarium”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: visit to a planetarium"}, {"id": "q007", "category": "content", "question": "output中是否保留了“out of this world”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: totally out of this world"}]}
{"status": "success", "index": 623, "source_record_id": "assigned_records.jsonl:11257", "source_line": 616, "audio": "audio/daily_chat__assigned_recordsjsonl11257.wav", "scene": "daily_chat", "language": "en", "oral": "living here is more like paying for luxury than just survival. i mean i am keen keen on shopping at Aldi. cost is... cost is ten dollars... no twenty... wait wrong it is thirty dollars for basic stuff. anyway you should see Dr Nguyen. oh and that movie plot hole... plot hole is just wild.", "clean": "Living here is more like paying for luxury than just survival. I am keen on shopping at Aldi. Cost is $30 for basic stuff. Anyway, you should see Dr. Nguyen. Oh, and that movie plot hole is just wild.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "i mean, keen keen, cost is... cost is, plot hole... plot hole"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ten dollars... no twenty... wait wrong it is thirty dollars”处理成了“thirty dollars”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "cost is... cost is ten dollars... no twenty... wait wrong it is thirty dollars -> Cost is $30"}, {"id": "q003", "category": "format", "question": "output中是否将“thirty dollars”规范化成了“$30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirty dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "thirty dollars -> $30"}, {"id": "q004", "category": "format", "question": "output中是否将“Dr”规范化成了“Dr.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Dr”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Dr -> Dr."}, {"id": "q005", "category": "content", "question": "output中是否存在“paying for luxury”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "paying for luxury"}, {"id": "q006", "category": "content", "question": "output中是否存在“shopping at Aldi”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "shopping at Aldi"}, {"id": "q007", "category": "content", "question": "output中是否存在“basic stuff”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "basic stuff"}, {"id": "q008", "category": "content", "question": "output中是否存在“movie plot hole”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "movie plot hole"}]}
{"status": "success", "index": 626, "source_record_id": "assigned_records.jsonl:6606", "source_line": 624, "audio": "audio/daily_chat__assigned_recordsjsonl6606.wav", "scene": "daily_chat", "language": "en", "oral": "Honestly it was like such a mess. I spent like half Saturday asking for refund on faulty charger and then uh asking for refund for damaged delivery from Instacart. Oh and I had to call Soren... wait no sorry I mean Sarah to like book table for baby shower. Just total chaos really.", "clean": "Honestly it was such a mess. I spent half Saturday asking for a refund on a faulty charger and then asking for a refund for a damaged delivery from Instacart. Oh and I had to call Sarah to book a table for a baby shower. Just total chaos really.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“faulty charger”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: faulty charger"}, {"id": "q002", "category": "content", "question": "output中是否存在“damaged delivery”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: damaged delivery"}, {"id": "q003", "category": "content", "question": "output中是否存在“baby shower”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: baby shower"}, {"id": "q004", "category": "format", "question": "output中是否将“instacart”规范化成了“Instacart”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“instacart”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Instacart"}, {"id": "q005", "category": "format", "question": "output中是否将“sarah”规范化成了“Sarah”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sarah”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Sarah"}, {"id": "q006", "category": "format", "question": "output中是否将“saturday”规范化成了“Saturday”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“saturday”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "clean: Saturday"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like, uh, wait no sorry I mean"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“Soren... wait no sorry I mean Sarah”处理成了“Sarah”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Soren... wait no sorry I mean Sarah, clean: Sarah"}]}
{"status": "success", "index": 625, "source_record_id": "assigned_records.jsonl:6389", "source_line": 622, "audio": "audio/daily_chat__assigned_recordsjsonl6389.wav", "scene": "daily_chat", "language": "en", "oral": "hey mom... yeah i just got home like... roughly ten minutes ago actually. so i was talking to kenji about that recent trip to yellow stone... oh wait no i mean yosemite national park. anyway he is still like... totally stressing over his new office in SOHO. and uh... did you hear about the kids? they were literally just arguing about whose turn it is to do laundry... like for an hour. honestly if they just made a schedule then we could probably avoid all this drama next time.", "clean": "Hey mom, yeah I just got home roughly 10 minutes ago. So I was talking to Kenji about that recent trip to Yosemite National Park. Anyway, he is still totally stressing over his new office in SoHo. And did you hear about the kids? They were literally just arguing about whose turn it is to do laundry for an hour. Honestly, if they just made a schedule then we could probably avoid all this drama next time.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: roughly ten minutes ago; clean: roughly 10 minutes ago"}, {"id": "q002", "category": "format", "question": "output中是否将“kenji”规范化成了“Kenji”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“kenji”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: talking to kenji; clean: talking to Kenji"}, {"id": "q003", "category": "format", "question": "output中是否将“yosemite national park”规范化成了“Yosemite National Park”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“yosemite national park”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: trip to yosemite national park; clean: trip to Yosemite National Park"}, {"id": "q004", "category": "format", "question": "output中是否将“SOHO”规范化成了“SoHo”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“SOHO”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: office in SOHO; clean: office in SoHo"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“yellow stone... oh wait no i mean yosemite national park”处理成了“Yosemite National Park”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: trip to yellow stone... oh wait no i mean yosemite national park; clean: trip to Yosemite National Park"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like... roughly, actually, like... totally, uh..., like for an hour; clean: 去除了这些口语词和填充词"}, {"id": "q007", "category": "content", "question": "output中是否存在“got home”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: i just got home; clean: I just got home"}, {"id": "q008", "category": "content", "question": "output中是否存在“recent trip”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: about that recent trip; clean: about that recent trip"}, {"id": "q009", "category": "content", "question": "output中是否存在“new office”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: over his new office; clean: over his new office"}, {"id": "q010", "category": "content", "question": "output中是否存在“do laundry”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: to do laundry; clean: to do laundry"}, {"id": "q011", "category": "content", "question": "output中是否存在“made a schedule”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: made a schedule; clean: made a schedule"}, {"id": "q012", "category": "content", "question": "output中是否存在“avoid all this drama”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: avoid all this drama; clean: avoid all this drama"}]}
{"status": "success", "index": 628, "source_record_id": "assigned_records.jsonl:6449", "source_line": 623, "audio": "audio/daily_chat__assigned_recordsjsonl6449.wav", "scene": "daily_chat", "language": "en", "oral": "so like who is actually coming to the thing? oh wait i think it is just ananya and priya and alastair for now. um we should probably... i mean if we... how should i put it... if we try to do something like the louvre theme it might be too much. and uh we still gotta figure out how we're trying to split a complicated dinner bill from last time because that was like forty five dollars each but someone paid the whole thing and i think there was some sort of miss understanding with the total. wait did i say the total? i mean the amount. anyway let me know if that works for you guys.", "clean": "Who is actually coming to the thing? I think it is just Ananya and Priya and Alastair for now. We should probably... if we try to do something like the Louvre theme it might be too much. And we still gotta figure out how we're trying to split a complicated dinner bill from last time because that was $45 each but someone paid the whole thing and I think there was some sort of misunderstanding with the amount. Anyway let me know if that works for you guys.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“coming to the thing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: \"coming to the thing\", clean: \"coming to the thing\""}, {"id": "q002", "category": "format", "question": "output中是否将“ananya and priya and alastair”规范化为首字母大写的“Ananya and Priya and Alastair”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"ananya and priya and alastair\", clean: \"Ananya and Priya and Alastair\""}, {"id": "q003", "category": "format", "question": "output中是否将“louvre”规范化为首字母大写的“Louvre”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"louvre\", clean: \"Louvre\""}, {"id": "q004", "category": "format", "question": "output中是否将“forty five dollars”规范化成了“$45”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty five dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"forty five dollars\", clean: \"$45\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“complicated dinner bill”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: \"complicated dinner bill\", clean: \"complicated dinner bill\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“someone paid the whole thing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: \"someone paid the whole thing\", clean: \"someone paid the whole thing\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“misunderstanding”（或读法一致的“miss understanding”）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: \"miss understanding\", clean: \"misunderstanding\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"so like\", \"oh wait\", \"um\", \"i mean\", \"how should i put it\", \"and uh\", \"wait did i say\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“the total. wait did i say the total? i mean the amount.”处理成了“the amount”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"with the total. wait did i say the total? i mean the amount.\", clean: \"with the amount.\""}]}
{"status": "success", "index": 627, "source_record_id": "assigned_records.jsonl:6758", "source_line": 625, "audio": "audio/daily_chat__assigned_recordsjsonl6758.wav", "scene": "daily_chat", "language": "en", "oral": "so i read this book right and honestly it just flipped my whole world upside down. like if i had met Catherine and Yasmine and Mei Ling back then then we could have started that business together way sooner. it was just... how do i put it... just eye opening. i even told Amara and Sephora about it and they read it in like two days. it really changed how i see things, ya know?", "clean": "So I read this book, and honestly it just flipped my whole world upside down. If I had met Catherine, Yasmine, and Mei Ling back then, then we could have started that business together way sooner. It was just eye opening. I even told Amara and Sephora about it and they read it in 2 days. It really changed how I see things.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“flipped my whole world upside down”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: flipped my whole world upside down; clean: flipped my whole world upside down"}, {"id": "q002", "category": "content", "question": "output中是否保留了“started that business together way sooner”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: started that business together way sooner; clean: started that business together way sooner"}, {"id": "q003", "category": "content", "question": "output中是否保留了“told Amara and Sephora about it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: told Amara and Sephora about it; clean: told Amara and Sephora about it"}, {"id": "q004", "category": "content", "question": "output中是否保留了“changed how I see things”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: changed how i see things; clean: changed how I see things"}, {"id": "q005", "category": "format", "question": "output中是否将“two days”规范化成了“2 days”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two days”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two days; clean: 2 days"}, {"id": "q006", "category": "format", "question": "output中是否将句首的“so”规范化成了大写的“So”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“so”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: so i read; clean: So I read"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: right, like, how do i put it, ya know; clean: 无"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“how do i put it”这种犹豫插入语去除，并保留了“eye opening”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: it was just... how do i put it... just eye opening.; clean: It was just eye opening."}]}
{"status": "success", "index": 629, "source_record_id": "assigned_records.jsonl:6780", "source_line": 626, "audio": "audio/daily_chat__assigned_recordsjsonl6780.wav", "scene": "daily_chat", "language": "en", "oral": "Dude I had like the weirdest dream last night. Just totally random. So like I'm in this car with Mei Lin and it's a Tesla but we're just stuck in traffic and she starts venting about a slow internet connection, which is just weird since we're in a car. Then suddenly we're at Five Guys eating burgers but for some reason we're playing Nintendo on the table. I mean, how does that even happen? It was just... yeah, super trippy.", "clean": "Dude I had the weirdest dream last night. Just totally random. So I'm in this car with Mei Lin and it's a Tesla but we're just stuck in traffic and she starts venting about a slow internet connection, which is just weird since we're in a car. Then suddenly we're at Five Guys eating burgers but for some reason we're playing Nintendo on the table. How does that even happen? It was just super trippy.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“weirdest dream”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "weirdest dream"}, {"id": "q002", "category": "content", "question": "output中是否保留了“stuck in traffic”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "stuck in traffic"}, {"id": "q003", "category": "content", "question": "output中是否保留了“slow internet connection”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "slow internet connection"}, {"id": "q004", "category": "content", "question": "output中是否保留了“eating burgers”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "eating burgers"}, {"id": "q005", "category": "format", "question": "output中是否将“Mei Lin”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“mei lin”等小写形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Mei Lin"}, {"id": "q006", "category": "format", "question": "output中是否将“Five Guys”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five guys”等小写形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Five Guys"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "like, I mean, yeah"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“I mean, how does that even happen?”处理成了“How does that even happen?”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I mean, how does that even happen? -> How does that even happen?"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“It was just... yeah, super trippy.”处理成了“It was just super trippy.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "It was just... yeah, super trippy. -> It was just super trippy."}]}
{"status": "success", "index": 630, "source_record_id": "assigned_records.jsonl:6907", "source_line": 627, "audio": "audio/daily_chat__assigned_recordsjsonl6907.wav", "scene": "daily_chat", "language": "en", "oral": "so i was talking to yara and she said she tried booking a table for brunch at that place in chelsea... oh wait no kensington. anyway she was like totally obsessed with talking about a recent gym workout routine and like how imogen is doing like five... um... i mean she is basically doing five sets of everything now. it sounds kinda exhausted honestly. do you think they are just like trying too hard or what", "clean": "So I was talking to Yara and she said she tried booking a table for brunch at that place in Kensington. Anyway, she was totally obsessed with talking about a recent gym workout routine and how Imogen is doing 5 sets of everything now. It sounds exhausting honestly. Do you think they are just trying too hard or what?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“booking a table for brunch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "booking a table for brunch"}, {"id": "q002", "category": "format", "question": "output中是否将“five”规范化成了“5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five -> 5"}, {"id": "q003", "category": "format", "question": "output中是否将“imogen”规范化成了“Imogen”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“imogen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "imogen -> Imogen"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "like, um, i mean"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“chelsea... oh wait no kensington”处理成了“Kensington”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "chelsea... oh wait no kensington -> Kensington"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“five... um... i mean she is basically doing five”处理成了“5”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "five... um... i mean she is basically doing five -> 5"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“kinda exhausted”处理成了“exhausting”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "kinda exhausted -> exhausting"}]}
{"status": "success", "index": 631, "source_record_id": "assigned_records.jsonl:7219", "source_line": 628, "audio": "audio/daily_chat__assigned_recordsjsonl7219.wav", "scene": "daily_chat", "language": "en", "oral": "Oh my god! So like this book totally flipped my world upside down. I remember reading it around midnight on New Year's Eve while I was planning a route for road trip. Just before that I was busy organizing a surprise birthday party for a colleague in sales... oh no not sales marketing department. Anyway I was also dealing with this nightmare asking for refund on faulty gadget and I just felt so burnt out. Then I met Hiroshi and he recommended this book. I mean it just made everything click for me ya.", "clean": "Oh my god! This book totally flipped my world upside down. I remember reading it around midnight on New Year's Eve while I was planning a route for a road trip. Just before that I was busy organizing a surprise birthday party for a colleague in the marketing department. Anyway I was also dealing with this nightmare asking for a refund on a faulty gadget and I just felt so burnt out. Then I met Hiroshi and he recommended this book. It just made everything click for me ya.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So like, I mean"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“in sales... oh no not sales marketing department”处理成了“in the marketing department”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "in sales... oh no not sales marketing department -> in the marketing department"}, {"id": "q003", "category": "content", "question": "output中是否存在“flipped my world upside down”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "flipped my world upside down"}, {"id": "q004", "category": "content", "question": "output中是否存在“New Year's Eve”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "New Year's Eve"}, {"id": "q005", "category": "content", "question": "output中是否存在“surprise birthday party”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "surprise birthday party"}, {"id": "q006", "category": "content", "question": "output中是否存在“faulty gadget”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "faulty gadget"}, {"id": "q007", "category": "content", "question": "output中是否存在“burnt out”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "burnt out"}, {"id": "q008", "category": "content", "question": "output中是否存在“Hiroshi”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Hiroshi"}]}
{"status": "success", "index": 633, "source_record_id": "assigned_records.jsonl:7338", "source_line": 630, "audio": "audio/daily_chat__assigned_recordsjsonl7338.wav", "scene": "daily_chat", "language": "en", "oral": "Omg you wont believe this dream i had! So like i was in London right and i was just hanging out in Piccadilly Circus... oh no wait Leicester Square and i keep seeing Saoirse Ronan everywhere. She was like actually asking for a recommendation for skincare routine and then we start planning a trip to local farmers market for the day after tomorrow. It was just so random like totally weird.", "clean": "Omg you won't believe this dream I had! So I was in London right and I was just hanging out in Leicester Square and I keep seeing Saoirse Ronan everywhere. She was actually asking for a recommendation for a skincare routine and then we start planning a trip to a local farmers market for the day after tomorrow. It was just so random, totally weird.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Saoirse Ronan”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Saoirse Ronan"}, {"id": "q002", "category": "content", "question": "output中是否存在“farmers market”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: farmers market"}, {"id": "q003", "category": "content", "question": "output中是否存在“day after tomorrow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: day after tomorrow"}, {"id": "q004", "category": "format", "question": "output中是否将“wont”规范化成了“won't”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“wont”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: wont, clean: won't"}, {"id": "q005", "category": "format", "question": "output中是否将“i”规范化成了大写的“I”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“i”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: i, clean: I"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Piccadilly Circus... oh no wait Leicester Square”处理成了“Leicester Square”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Piccadilly Circus... oh no wait Leicester Square, clean: Leicester Square"}]}
{"status": "success", "index": 634, "source_record_id": "assigned_records.jsonl:7364", "source_line": 631, "audio": "audio/daily_chat__assigned_recordsjsonl7364.wav", "scene": "daily_chat", "language": "en", "oral": "Hey Yuna, I gotta tell you about this dream I had last night. So I was at Borough Market... Borough Market in London, right? And I really wanna find some food but I was actually coordinating a pickup at the airport... oh no, coordinating a pickup at the train station. And I was like I gotta get outta there, I gotta get outta there fast or I'm gonna miss it. It was so weird.", "clean": "Hey Yuna, I gotta tell you about this dream I had last night. So I was at Borough Market in London, right? And I really wanna find some food but I was coordinating a pickup at the train station. And I gotta get outta there fast or I'm gonna miss it. It was so weird.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Hey Yuna”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Hey Yuna\""}, {"id": "q002", "category": "content", "question": "output中是否存在“find some food”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"And I really wanna find some food\""}, {"id": "q003", "category": "format", "question": "output中是否将“borough market”规范化成了首字母大写的“Borough Market”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“borough market”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"Borough Market\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"actually\", \"I was like\", \"I gotta get outta there, I gotta get outta there\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“Borough Market... Borough Market in London”处理成了“Borough Market in London”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Borough Market... Borough Market in London\", clean: \"Borough Market in London\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“at the airport... oh no, coordinating a pickup at the train station”处理成了“at the train station”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"at the airport... oh no, coordinating a pickup at the train station.\", clean: \"at the train station.\""}]}
{"status": "success", "index": 635, "source_record_id": "assigned_records.jsonl:7554", "source_line": 633, "audio": "audio/daily_chat__assigned_recordsjsonl7554.wav", "scene": "daily_chat", "language": "en", "oral": "Honestly I tried doing the whole resolution thing but it just not working. Like Priya and Kenji they were organizing a carpool... organizing a carpool for a concert last week and it was a total mess. We booked an AirBnB in Trafalgar Square... oh no not Trafalgar Square I mean Leicester Square and it was way too far. I really need to get organized get organized with my life but yeah its hard.", "clean": "Honestly I tried doing the whole resolution thing but it's just not working. Priya and Kenji were organizing a carpool for a concert last week and it was a total mess. We booked an Airbnb in Leicester Square and it was way too far. I really need to get organized with my life but yeah it's hard.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“resolution thing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "the whole resolution thing"}, {"id": "q002", "category": "content", "question": "output中是否保留了“carpool for a concert”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "organizing a carpool for a concert"}, {"id": "q003", "category": "format", "question": "output中是否将“AirBnB”规范化成了“Airbnb”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“AirBnB”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "AirBnB -> Airbnb"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Like Priya, organizing a carpool... organizing a carpool, get organized get organized"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“Trafalgar Square... oh no not Trafalgar Square I mean Leicester Square”处理成了“Leicester Square”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Trafalgar Square... oh no not Trafalgar Square I mean Leicester Square -> Leicester Square"}, {"id": "q006", "category": "content", "question": "output中是否保留了“total mess”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "it was a total mess"}, {"id": "q007", "category": "content", "question": "output中是否保留了“way too far”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "it was way too far"}, {"id": "q008", "category": "content", "question": "output中是否保留了“get organized with my life”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "get organized with my life"}]}
{"status": "success", "index": 637, "source_record_id": "assigned_records.jsonl:7628", "source_line": 634, "audio": "audio/daily_chat__assigned_recordsjsonl7628.wav", "scene": "daily_chat", "language": "en", "oral": "So like I was just recounting a weird dream from last night where we were somehow at The Louvre but then it turned into planning a route for a road trip... actually wait we need to hit the store first. I was thinking maybe we could do the big shop bi-weekly on Thursdays? Oh and I wanted to ask for a recommendation for a skincare routine because my skin is just... anyway we can talk about that after we get the milk.", "clean": "I was just recounting a weird dream from last night where we were somehow at The Louvre, but then it turned into planning a route for a road trip... we need to hit the store first. I was thinking maybe we could do the big shop bi-weekly on Thursdays? Oh and I wanted to ask for a recommendation for a skincare routine because my skin is just... anyway we can talk about that after we get the milk.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "So like, actually wait"}, {"id": "q002", "category": "format", "question": "output中是否将“The Louvre”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“the louvre”等小写形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "The Louvre"}, {"id": "q003", "category": "format", "question": "output中是否将“Thursdays”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thursdays”等小写形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Thursdays"}, {"id": "q004", "category": "format", "question": "output中是否将“bi-weekly”保留了连字符或进行了合理的拼写规范化？", "options": [{"text": "保留了“bi-weekly”或“biweekly”等合理形式", "score": 1}, {"text": "没有进行规范化但存在“bi weekly”等无连字符形式", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "bi-weekly"}, {"id": "q005", "category": "content", "question": "output中是否存在“recounting a weird dream”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "recounting a weird dream"}, {"id": "q006", "category": "content", "question": "output中是否存在“planning a route for a road trip”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "planning a route for a road trip"}, {"id": "q007", "category": "content", "question": "output中是否存在“hit the store first”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "hit the store first"}, {"id": "q008", "category": "content", "question": "output中是否存在“big shop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "big shop"}, {"id": "q009", "category": "content", "question": "output中是否存在“recommendation for a skincare routine”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "recommendation for a skincare routine"}, {"id": "q010", "category": "content", "question": "output中是否存在“get the milk”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "get the milk"}]}
{"status": "success", "index": 636, "source_record_id": "assigned_records.jsonl:7462", "source_line": 632, "audio": "audio/daily_chat__assigned_recordsjsonl7462.wav", "scene": "daily_chat", "language": "en", "oral": "Priya, uh, i gotta tell you about this book that totally changed my life. it was like... it was like a complete wake up call. i remember i was reading it at Venice Beach, eh, right before i went to Sephora. wait, i was at Santa Monica Pier... oh no, Venice Beach was right. anyway, i was so focused i almost forgot i was requesting refund for flight delay, i mean, requesting refund for flight delay about twenty minutes ago. it just makes you realize how small our problems are, you know, just kinda puts things in perspective, i guess.", "clean": "Priya, i gotta tell you about this book that totally changed my life. it was a complete wake up call. i remember i was reading it at Venice Beach right before i went to Sephora. anyway, i was so focused i almost forgot i was requesting a refund for flight delay about 20 minutes ago. it just makes you realize how small our problems are, just puts things in perspective, i guess.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, like..., eh, wait, oh no, i mean, you know, kinda, it was like... it was like, requesting refund... requesting refund"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“wait, i was at Santa Monica Pier... oh no, Venice Beach was right”处理成了“Venice Beach”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "wait, i was at Santa Monica Pier... oh no, Venice Beach was right -> Venice Beach"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“requesting refund for flight delay, i mean, requesting refund for flight delay”处理成了“requesting a refund for flight delay”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "requesting refund for flight delay, i mean, requesting refund for flight delay -> requesting a refund for flight delay"}, {"id": "q004", "category": "format", "question": "output中是否将“twenty minutes ago”规范化成了“20 minutes ago”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty minutes ago”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty minutes ago -> 20 minutes ago"}, {"id": "q005", "category": "content", "question": "output中是否存在“totally changed my life”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "totally changed my life"}, {"id": "q006", "category": "content", "question": "output中是否存在“complete wake up call”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "complete wake up call"}, {"id": "q007", "category": "content", "question": "output中是否存在“puts things in perspective”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "puts things in perspective"}]}
{"status": "success", "index": 639, "source_record_id": "assigned_records.jsonl:7737", "source_line": 637, "audio": "audio/daily_chat__assigned_recordsjsonl7737.wav", "scene": "daily_chat", "language": "en", "oral": "Yara, listen, like, I saw Chloe about a couple hours ago at The Louvre, oh no, I mean The Shard! And she was telling me... I think... well, she mentioned that she's basically moving to Paris, just... let's say, she wants to be closer to the actual art museums and stuff, ya know?", "clean": "Yara, listen, I saw Chloe about a couple hours ago at The Shard! And she was telling me... she mentioned that she's moving to Paris, let's say, she wants to be closer to the actual art museums and stuff.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“about a couple hours ago”（大约几个小时前）这一时间概念？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: about a couple hours ago; clean: about a couple hours ago"}, {"id": "q002", "category": "content", "question": "output中是否保留了“moving to Paris”（搬到巴黎）这一语义单元？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: moving to Paris; clean: moving to Paris"}, {"id": "q003", "category": "content", "question": "output中是否保留了“closer to the actual art museums”（靠近真正的艺术博物馆）这一语义单元？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: closer to the actual art museums; clean: closer to the actual art museums"}, {"id": "q004", "category": "format", "question": "output中是否将“the shard”规范化成了首字母大写的“The Shard”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“the shard”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: The Shard"}, {"id": "q005", "category": "format", "question": "output中是否将“chloe”规范化成了首字母大写的人名“Chloe”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“chloe”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Chloe"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like, oh no, I think, well, basically, just, ya know"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“The Louvre, oh no, I mean The Shard”处理成了“The Shard”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: at The Louvre, oh no, I mean The Shard!; clean: at The Shard!"}]}
{"status": "success", "index": 638, "source_record_id": "assigned_records.jsonl:7633", "source_line": 635, "audio": "audio/daily_chat__assigned_recordsjsonl7633.wav", "scene": "daily_chat", "language": "en", "oral": "hey man how was your weekend? oh i actually saw thalia and zayn on saturday. wait no... not zayn... it was saoirse. we were all just hanging out playing nintendo switch for like four hours. then we went out for food but man it was such a mess trying to split a dinner bill between the three of us. total nightmare.", "clean": "Hey man, how was your weekend? Oh, I actually saw Thalia and Saoirse on Saturday. We were all just hanging out playing Nintendo Switch for 4 hours. Then we went out for food, but man, it was such a mess trying to split a dinner bill between the three of us. Total nightmare.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“how was your weekend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"how was your weekend?\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“saw Thalia”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"saw Thalia\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“zayn... wait no... not zayn... it was saoirse”处理成了“Saoirse”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"saw thalia and zayn on saturday. wait no... not zayn... it was saoirse.\" clean: \"saw Thalia and Saoirse\""}, {"id": "q004", "category": "format", "question": "output中是否将“thalia”、“saoirse”、“saturday”、“nintendo switch”进行了合理的首字母大写规范化（如“Thalia”、“Saoirse”、“Saturday”、“Nintendo Switch”）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始小写形式", "score": 0}, {"text": "不存在这些词或规范化错误", "score": -1}], "evidence": "oral: \"thalia\", \"saoirse\", \"saturday\", \"nintendo switch\" clean: \"Thalia\", \"Saoirse\", \"Saturday\", \"Nintendo Switch\""}, {"id": "q005", "category": "format", "question": "output中是否将“four hours”规范化成了“4 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four hours\" clean: \"4 hours\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“hanging out”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"hanging out\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“went out for food”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"went out for food\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“split a dinner bill between the three of us”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"split a dinner bill between the three of us\""}, {"id": "q009", "category": "content", "question": "output中是否保留了“Total nightmare”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"Total nightmare\""}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"for like four hours\" (like 为口语词) clean: \"for 4 hours\""}]}
{"status": "success", "index": 640, "source_record_id": "assigned_records.jsonl:7731", "source_line": 636, "audio": "audio/daily_chat__assigned_recordsjsonl7731.wav", "scene": "daily_chat", "language": "en", "oral": "Hey Sarah, so like I had this crazy dream last night. I was just... I mean I was standing on Brooklyn Bridge, right? And for some reason I was holding a Kindle and just complaining about late Amazon delivery, just like... you know, just venting. Then suddenly I'm in Costco, uh, and I start complaining about slow Wi-Fi connection, just... it was just so random, I guess.", "clean": "Hey Sarah, I had this crazy dream last night. I was standing on Brooklyn Bridge, right? And for some reason I was holding a Kindle and complaining about late Amazon delivery, just venting. Then suddenly I'm in Costco, and I start complaining about slow Wi-Fi connection; it was just so random, I guess.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "so like, just... I mean, uh, just..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“I was just... I mean I was standing”处理成了“I was standing”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I was just... I mean I was standing -> I was standing"}, {"id": "q003", "category": "format", "question": "output中是否将“Brooklyn Bridge”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Brooklyn Bridge”或“brooklyn bridge”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Brooklyn Bridge"}, {"id": "q004", "category": "content", "question": "output中是否存在“crazy dream last night”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "crazy dream last night"}, {"id": "q005", "category": "content", "question": "output中是否存在“holding a Kindle”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "holding a Kindle"}, {"id": "q006", "category": "content", "question": "output中是否存在“late Amazon delivery”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "late Amazon delivery"}, {"id": "q007", "category": "content", "question": "output中是否存在“in Costco”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "in Costco"}]}
{"status": "success", "index": 641, "source_record_id": "assigned_records.jsonl:8389", "source_line": 643, "audio": "audio/daily_chat__assigned_recordsjsonl8389.wav", "scene": "daily_chat", "language": "en", "oral": "hey do you know any good dentists around here? i mean i was talking to dmitri and beatrix and fatima about it like when we were splitting splitting the bill at tapas restaurant on january first and... well i just need someone who wont rip me off. i think i think i need a cleaning soon, how should i say it, maybe a checkup too.", "clean": "Hey, do you know any good dentists around here? I was talking to Dmitri and Beatrix and Fatima about it when we were splitting the bill at Tapas restaurant on January 1, and I just need someone who won't rip me off. I think I need a cleaning soon, maybe a checkup too.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“good dentists”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: good dentists"}, {"id": "q002", "category": "content", "question": "output中是否存在“splitting the bill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: splitting the bill"}, {"id": "q003", "category": "content", "question": "output中是否存在“rip me off”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: rip me off"}, {"id": "q004", "category": "content", "question": "output中是否存在“cleaning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: cleaning"}, {"id": "q005", "category": "format", "question": "output中是否将“january first”规范化成了“January 1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“january first”", "score": 0}, {"text": "不存在“January 1”或“january first”", "score": -1}], "evidence": "oral: january first; clean: January 1"}, {"id": "q006", "category": "format", "question": "output中是否将“tapas restaurant”规范化成了“Tapas restaurant”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“tapas restaurant”", "score": 0}, {"text": "不存在“Tapas restaurant”或“tapas restaurant”", "score": -1}], "evidence": "oral: tapas restaurant; clean: Tapas restaurant"}, {"id": "q007", "category": "format", "question": "output中是否将“wont”规范化成了“won't”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“wont”", "score": 0}, {"text": "不存在“won't”或“wont”", "score": -1}], "evidence": "oral: wont; clean: won't"}, {"id": "q008", "category": "format", "question": "output中是否将人名“dmitri”规范化为首字母大写的“Dmitri”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dmitri”", "score": 0}, {"text": "不存在“Dmitri”或“dmitri”", "score": -1}], "evidence": "oral: dmitri; clean: Dmitri"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: i mean, like, and..., well, splitting splitting, i think i think, how should i say it"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“how should i say it, maybe a checkup too”处理成了“maybe a checkup too”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: how should i say it, maybe a checkup too; clean: maybe a checkup too"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“i mean i was talking”处理成了“I was talking”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: i mean i was talking; clean: I was talking"}]}
{"status": "success", "index": 644, "source_record_id": "assigned_records.jsonl:8021", "source_line": 640, "audio": "audio/daily_chat__assigned_recordsjsonl8021.wav", "scene": "daily_chat", "language": "en", "oral": "so i had this crazy dream last night and like i was venting about a long line at the DMV to some people i dont even know. wait it was a bank... oh no it was the DMV. any way we were all just standing there and then suddenly we were at in n out eating burgers. beatrix was there and saoirse and ji hu. it was so random. i think i think we were arguing about the fries. and i remember thinking if we just left the line then we could go to the beach. we could go to the beach and just forget about the paperwork. it was just just so weird ya.", "clean": "I had this crazy dream last night and I was venting about a long line at the DMV to some people I don't even know. Anyway, we were all just standing there and then suddenly we were at In-N-Out eating burgers. Beatrix was there and Saoirse and Ji Hu. It was so random. I think we were arguing about the fries. And I remember thinking if we just left the line then we could go to the beach and just forget about the paperwork. It was just so weird.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“arguing about the fries”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I think we were arguing about the fries."}, {"id": "q002", "category": "content", "question": "output中是否存在“forget about the paperwork”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: and just forget about the paperwork."}, {"id": "q003", "category": "format", "question": "output中是否将“in n out”规范化成了“In-N-Out”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“in n out”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: in n out; clean: In-N-Out"}, {"id": "q004", "category": "format", "question": "output中是否将“ji hu”规范化成了“Ji Hu”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ji hu”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ji hu; clean: Ji Hu"}, {"id": "q005", "category": "format", "question": "output中是否将“any way”规范化成了“Anyway”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“any way”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: any way; clean: Anyway"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: so, like, i think i think, just just, ya"}, {"id": "q007", "category": "rephrase", "question": "output中是否去除了“wait it was a bank... oh no it was the DMV”这一自我纠正过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: wait it was a bank... oh no it was the DMV.; clean: (deleted)"}]}
{"status": "success", "index": 642, "source_record_id": "assigned_records.jsonl:7930", "source_line": 638, "audio": "audio/daily_chat__assigned_recordsjsonl7930.wav", "scene": "daily_chat", "language": "en", "oral": "Honestly I just cannot deal with that guy upstairs anymore like he is just constant venting about a noisy neighbor is an understatement he is like a human jackhammer. Anyway uh we gotta figure out grocery list. I was thinking about... maybe we could... well let's just say we need a better way to meal prep for next week so we dont spend like forty dollars a day on lunch. Maybe we get those big containers. Oh and did you see that AirBNB Saoirse sent us for the trip? It looks sick. Maybe we can just go Wagamama for dinner tonight and do the big shop tomorrow morning around ten.", "clean": "Honestly I just cannot deal with that guy upstairs anymore; he is just constant venting about a noisy neighbor is an understatement, he is a human jackhammer. Anyway we gotta figure out grocery list. I was thinking maybe we need a better way to meal prep for next week so we don't spend $40 a day on lunch. Maybe we get those big containers. Oh and did you see that Airbnb Saoirse sent us for the trip? It looks sick. Maybe we can just go Wagamama for dinner tonight and do the big shop tomorrow morning around 10.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“human jackhammer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: he is a human jackhammer"}, {"id": "q002", "category": "content", "question": "output中是否存在“grocery list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: figure out grocery list"}, {"id": "q003", "category": "content", "question": "output中是否存在“meal prep”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: way to meal prep"}, {"id": "q004", "category": "content", "question": "output中是否存在“big containers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: get those big containers"}, {"id": "q005", "category": "content", "question": "output中是否存在“Wagamama”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: go Wagamama"}, {"id": "q006", "category": "format", "question": "output中是否将“forty dollars”规范化成了“$40”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forty dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: forty dollars, clean: $40"}, {"id": "q007", "category": "format", "question": "output中是否将“AirBNB”规范化成了“Airbnb”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“AirBNB”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: AirBNB, clean: Airbnb"}, {"id": "q008", "category": "format", "question": "output中是否将“ten”规范化成了“10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: around ten, clean: around 10"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like, uh, about... maybe we could... well let's just say"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“I was thinking about... maybe we could... well let's just say we need”处理成了“I was thinking maybe we need”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I was thinking about... maybe we could... well let's just say we need, clean: I was thinking maybe we need"}]}
{"status": "success", "index": 643, "source_record_id": "assigned_records.jsonl:8047", "source_line": 641, "audio": "audio/daily_chat__assigned_recordsjsonl8047.wav", "scene": "daily_chat", "language": "en", "oral": "so like i was on phone around lunch time like just totally explaining this like super complex recipe over phone to dimitri cuz we were discussing recipe for potluck and then i had to stop by sephora for a bit and i think i spent like twenty dollars... oh no wait twenty five dollars on some stuff anyway like i think we should... uh... we could maybe... how do i put this... just go see that new horror movie tonight", "clean": "I was on the phone around lunch time explaining this super complex recipe over the phone to Dimitri because we were discussing a recipe for a potluck, and then I had to stop by Sephora for a bit and I think I spent $25 on some stuff. Anyway, I think we could maybe just go see that new horror movie tonight.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“super complex recipe”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "super complex recipe"}, {"id": "q002", "category": "content", "question": "output中是否保留了“potluck”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "potluck"}, {"id": "q003", "category": "content", "question": "output中是否保留了“horror movie”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "horror movie"}, {"id": "q004", "category": "format", "question": "output中是否将“dimitri”规范化成了“Dimitri”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dimitri”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "dimitri -> Dimitri"}, {"id": "q005", "category": "format", "question": "output中是否将“sephora”规范化成了“Sephora”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“sephora”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "sephora -> Sephora"}, {"id": "q006", "category": "format", "question": "output中是否将“twenty five dollars”规范化成了“$25”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty five dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty five dollars -> $25"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "so like, like just totally, cuz, uh, how do i put this"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“twenty dollars... oh no wait twenty five dollars”处理成了“$25”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "twenty dollars... oh no wait twenty five dollars -> $25"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“we should... uh... we could maybe... how do i put this... just go see”处理成了“we could maybe just go see”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "we should... uh... we could maybe... how do i put this... just go see -> we could maybe just go see"}]}
{"status": "success", "index": 647, "source_record_id": "assigned_records.jsonl:8401", "source_line": 644, "audio": "audio/daily_chat__assigned_recordsjsonl8401.wav", "scene": "daily_chat", "language": "en", "oral": "um i'm not totally sure but i think Alistair and Mei Lin were talking about like comparing different electric vehicle models earlier today oh wait no it was just Alistair and like some guy from work anyway we still gotta figure out splitting bill after dinner like at Pike Place Market... wait no it was Pike Place Fish Market oh no sorry Pike Place Public Market actually and then we can just do it on venmo or whatever since it's gonna be like twenty people or so and it's gonna be a lot of money to keep track of so we should just do it the second we get out of there", "clean": "I'm not totally sure but I think Alistair and some guy from work were talking about comparing different electric vehicle models earlier today. Anyway, we still gotta figure out splitting the bill after dinner at Pike Place Public Market, and then we can just do it on Venmo or whatever since it's gonna be 20 people or so and it's gonna be a lot of money to keep track of, so we should just do it the second we get out of there.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"um\", \"like\", \"oh wait no\", \"wait no\", \"oh no sorry\", \"actually\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Alistair and Mei Lin”修正为“Alistair and some guy from work”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Alistair and Mei Lin... oh wait no it was just Alistair and like some guy from work\", clean: \"Alistair and some guy from work\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Pike Place Market... Pike Place Fish Market”修正为“Pike Place Public Market”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Pike Place Market... wait no it was Pike Place Fish Market oh no sorry Pike Place Public Market actually\", clean: \"Pike Place Public Market\""}, {"id": "q004", "category": "format", "question": "output中是否将“twenty”规范化成了“20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty people\", clean: \"20 people\""}, {"id": "q005", "category": "format", "question": "output中是否将“venmo”规范化成了“Venmo”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“venmo”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"venmo\", clean: \"Venmo\""}, {"id": "q006", "category": "content", "question": "output中是否存在“comparing different electric vehicle models”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"comparing different electric vehicle models\""}, {"id": "q007", "category": "content", "question": "output中是否存在“splitting the bill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"splitting the bill\""}, {"id": "q008", "category": "content", "question": "output中是否存在“a lot of money to keep track of”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"a lot of money to keep track of\""}]}
{"status": "success", "index": 645, "source_record_id": "assigned_records.jsonl:8370", "source_line": 642, "audio": "audio/daily_chat__assigned_recordsjsonl8370.wav", "scene": "daily_chat", "language": "en", "oral": "Man! I mean everything just costs way too much now. I was talking to Kwame and Aoife on WhatsApp and we were like... uh... we were just saying how... well... it's like we can't even afford basic stuff anymore. Like Xavier tried to get that Tesla and the price is just... it's insane. I saw some thing yesterday that was like eighty nine ninety-nine for a small bag of coffee. I mean who does that? It's just totaly ridiculous how fast prices go up. I can't believe it's been two years since things were actually cheap. It's just not right.", "clean": "Man! Everything just costs way too much now. I was talking to Kwame and Aoife on WhatsApp and we were just saying how we can't even afford basic stuff anymore. Xavier tried to get that Tesla and the price is just insane. I saw something yesterday that was $89.99 for a small bag of coffee. Who does that? It's just totally ridiculous how fast prices go up. I can't believe it's been 2 years since things were actually cheap. It's just not right.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I mean, uh, well, like, it's 等口语/犹豫/重复词"}, {"id": "q002", "category": "format", "question": "output中是否将“eighty nine ninety-nine”规范化成了“$89.99”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty nine ninety-nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eighty nine ninety-nine -> $89.99"}, {"id": "q003", "category": "format", "question": "output中是否将“two years”规范化成了“2 years”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two years”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two years -> 2 years"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“we were like... uh... we were just saying how... well... it's like we can't”处理成了“we were just saying how we can't”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "we were like... uh... we were just saying how... well... it's like we can't -> we were just saying how we can't"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“the price is just... it's insane.”处理成了“the price is just insane.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "the price is just... it's insane. -> the price is just insane."}, {"id": "q006", "category": "content", "question": "output中是否存在“something”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "some thing -> something"}, {"id": "q007", "category": "content", "question": "output中是否存在“totally”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "totaly -> totally"}, {"id": "q008", "category": "content", "question": "output中是否存在“Kwame and Aoife”（或同音词）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Kwame and Aoife"}, {"id": "q009", "category": "content", "question": "output中是否存在“Xavier”（或同音词）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Xavier"}, {"id": "q010", "category": "content", "question": "output中是否存在“small bag of coffee”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "small bag of coffee"}]}
{"status": "success", "index": 646, "source_record_id": "assigned_records.jsonl:7959", "source_line": 639, "audio": "audio/daily_chat__assigned_recordsjsonl7959.wav", "scene": "daily_chat", "language": "en", "oral": "so i had this crazy dream last night and it started like i was in london right i was walking around piccadilly circus and i saw priya there. we decided we needed coffee so we went to costco... oh no not costco it was starbucks and we were just waiting in line. i remember i was ordering a latte with oat milk and syrup and i was ordering a latte with oat milk and syrup like five times cause the guy couldnt hear me. then suddenly this tesla just drives through the wall and the tesla just drives through the wall right into the cafe and it was just totally random.", "clean": "So I had this crazy dream last night and it started I was in London, right? I was walking around Piccadilly Circus and I saw Priya there. We decided we needed coffee so we went to Starbucks and we were just waiting in line. I remember I was ordering a latte with oat milk and syrup 5 times cause the guy couldn't hear me. Then suddenly this Tesla just drives through the wall right into the cafe and it was just totally random.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“latte with oat milk and syrup”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ordering a latte with oat milk and syrup"}, {"id": "q002", "category": "content", "question": "output中是否存在“drives through the wall”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: drives through the wall"}, {"id": "q003", "category": "format", "question": "output中是否将“london”规范化成了“London”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“london”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: london; clean: London"}, {"id": "q004", "category": "format", "question": "output中是否将“piccadilly circus”规范化成了“Piccadilly Circus”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“piccadilly circus”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: piccadilly circus; clean: Piccadilly Circus"}, {"id": "q005", "category": "format", "question": "output中是否将“priya”规范化成了“Priya”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“priya”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: priya; clean: Priya"}, {"id": "q006", "category": "format", "question": "output中是否将“five times”规范化成了“5 times”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five times”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five times; clean: 5 times"}, {"id": "q007", "category": "format", "question": "output中是否将“couldnt”规范化成了“couldn't”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“couldnt”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: couldnt; clean: couldn't"}, {"id": "q008", "category": "format", "question": "output中是否将“tesla”规范化成了“Tesla”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“tesla”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: tesla; clean: Tesla"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: and i was ordering a latte with oat milk and syrup and i was ordering a latte with oat milk and syrup; and the tesla just drives through the wall and the tesla just drives through the wall"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“costco... oh no not costco it was starbucks”处理成了“Starbucks”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: costco... oh no not costco it was starbucks; clean: Starbucks"}]}
{"status": "success", "index": 648, "source_record_id": "assigned_records.jsonl:8516", "source_line": 645, "audio": "audio/daily_chat__assigned_recordsjsonl8516.wav", "scene": "daily_chat", "language": "en", "oral": "so i read this book by alastair and man it totally changed how i see things. i remember i was eating at in n out... i mean i was at the met... oh no not the met i was at the met museum with mei ling. i think i think it was back in twenty twenty two. i m not totally sure but i think we spent like four hours just talking about it. it made me realize that life life is just about perspective. i actually tried to explain it to her while we were walking and i think i think it clicked for her too.", "clean": "So I read this book by Alastair and man it totally changed how I see things. I remember I was at the Met Museum with Mei Ling. I think it was back in 2022. I'm not totally sure but I think we spent 4 hours just talking about it. It made me realize that life is just about perspective. I actually tried to explain it to her while we were walking and I think it clicked for her too.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“changed how I see things”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: changed how I see things"}, {"id": "q002", "category": "content", "question": "output中是否保留了“at the Met Museum with Mei Ling”的语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: at the Met Museum with Mei Ling"}, {"id": "q003", "category": "content", "question": "output中是否保留了“life is just about perspective”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: life is just about perspective"}, {"id": "q004", "category": "content", "question": "output中是否保留了“explain it to her while we were walking”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: explain it to her while we were walking"}, {"id": "q005", "category": "content", "question": "output中是否保留了“clicked for her too”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: clicked for her too"}, {"id": "q006", "category": "format", "question": "output中是否将“alastair”规范化成了首字母大写的“Alastair”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“alastair”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: alastair -> clean: Alastair"}, {"id": "q007", "category": "format", "question": "output中是否将“met museum”规范化成了首字母大写的“Met Museum”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“met museum”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: met museum -> clean: Met Museum"}, {"id": "q008", "category": "format", "question": "output中是否将“mei ling”规范化成了首字母大写的“Mei Ling”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“mei ling”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: mei ling -> clean: Mei Ling"}, {"id": "q009", "category": "format", "question": "output中是否将“twenty twenty two”规范化成了“2022”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty twenty two”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: twenty twenty two -> clean: 2022"}, {"id": "q010", "category": "format", "question": "output中是否将“four”规范化成了“4”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: four hours -> clean: 4 hours"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: i think i think, life life, i mean, oh no not the met"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“eating at in n out... i mean i was at the met... oh no not the met i was at the met museum”处理成了“at the Met Museum”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: eating at in n out... i mean i was at the met... oh no not the met i was at the met museum -> clean: at the Met Museum"}]}
{"status": "success", "index": 649, "source_record_id": "assigned_records.jsonl:9063", "source_line": 649, "audio": "audio/daily_chat__assigned_recordsjsonl9063.wav", "scene": "daily_chat", "language": "en", "oral": "hey so uh did you do anything fun like oh Osei and Anne went to the Peak District... oh no sorry the Cotswolds and it was more or less goated if you free next weekend then we could go too", "clean": "Hey, did you do anything fun? Osei and Anne went to the Cotswolds and it was more or less goated. If you're free next weekend, then we could go too.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "so uh, like oh"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“the Peak District... oh no sorry the Cotswolds”处理成了“the Cotswolds”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "the Peak District... oh no sorry the Cotswolds -> the Cotswolds"}, {"id": "q003", "category": "content", "question": "output中是否存在“did you do anything fun”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "did you do anything fun"}, {"id": "q004", "category": "content", "question": "output中是否存在“Osei and Anne”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Osei and Anne"}, {"id": "q005", "category": "content", "question": "output中是否存在“goated”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "goated"}, {"id": "q006", "category": "content", "question": "output中是否存在“If you're free”或“If you free”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "if you free -> If you're free"}, {"id": "q007", "category": "content", "question": "output中是否存在“next weekend”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "next weekend"}, {"id": "q008", "category": "content", "question": "output中是否存在“we could go too”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "we could go too"}]}
{"status": "success", "index": 651, "source_record_id": "assigned_records.jsonl:9014", "source_line": 648, "audio": "audio/daily_chat__assigned_recordsjsonl9014.wav", "scene": "daily_chat", "language": "en", "oral": "im not totally sure but i think mr henderson... uh... he lives in upper west side... no upper east side... wait wrong... it's the upper east side! and he was... like... talking bout... how do i put this... discussing pottery at the blue lagon... oh wait the blue lagoon... and he had some hydro flask in his hand i think he bought it at the mall in new york city", "clean": "I'm not totally sure, but I think Mr. Henderson lives in the Upper East Side, and he was discussing pottery at the Blue Lagoon, and he had some Hydro Flask in his hand; I think he bought it at the mall in New York City.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“not totally sure”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I'm not totally sure"}, {"id": "q002", "category": "content", "question": "output中是否保留了“discussing pottery”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: discussing pottery"}, {"id": "q003", "category": "content", "question": "output中是否保留了“bought it at the mall”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: bought it at the mall"}, {"id": "q004", "category": "format", "question": "output中是否将“mr henderson”规范化成了“Mr. Henderson”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“mr henderson”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: mr henderson -> clean: Mr. Henderson"}, {"id": "q005", "category": "format", "question": "output中是否将“upper east side”规范化成了“Upper East Side”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“upper east side”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: upper east side -> clean: Upper East Side"}, {"id": "q006", "category": "format", "question": "output中是否将“blue lagoon”规范化成了“Blue Lagoon”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“blue lagoon”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: blue lagoon -> clean: Blue Lagoon"}, {"id": "q007", "category": "format", "question": "output中是否将“hydro flask”规范化成了“Hydro Flask”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“hydro flask”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: hydro flask -> clean: Hydro Flask"}, {"id": "q008", "category": "format", "question": "output中是否将“new york city”规范化成了“New York City”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“new york city”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: new york city -> clean: New York City"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh... like... how do i put this... oh wait"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“upper west side... no upper east side... wait wrong... it's the upper east side”处理成了“Upper East Side”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: upper west side... no upper east side... wait wrong... it's the upper east side -> clean: Upper East Side"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“talking bout... how do i put this... discussing pottery”处理成了“discussing pottery”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: talking bout... how do i put this... discussing pottery -> clean: discussing pottery"}]}
{"status": "success", "index": 650, "source_record_id": "assigned_records.jsonl:9086", "source_line": 650, "audio": "audio/daily_chat__assigned_recordsjsonl9086.wav", "scene": "daily_chat", "language": "en", "oral": "ya i wanna visit Ms Gable in Melbourne Laneys and then maybe go to The Rusty Anchor Bar... oh no I mean The Rusty Anchor Pub plus like... let me think... how should i say... planning a visit to water park once a quarter i guess ha. also i gotta go to that garden... wait i mean garden court park ma", "clean": "I want to visit Ms Gable in Melbourne Laneys and then maybe go to The Rusty Anchor Pub. Planning a visit to the water park once a quarter. Also I gotta go to Garden Court Park.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“visit Ms Gable in Melbourne Laneys”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I want to visit Ms Gable in Melbourne Laneys"}, {"id": "q002", "category": "format", "question": "output中是否将“Ms Gable”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Ms Gable"}, {"id": "q003", "category": "format", "question": "output中是否将“Melbourne Laneys”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Melbourne Laneys"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“The Rusty Anchor Bar... oh no I mean The Rusty Anchor Pub”处理成了“The Rusty Anchor Pub”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: The Rusty Anchor Bar... oh no I mean The Rusty Anchor Pub; clean: The Rusty Anchor Pub"}, {"id": "q005", "category": "format", "question": "output中是否将“The Rusty Anchor Pub”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: The Rusty Anchor Pub"}, {"id": "q006", "category": "content", "question": "output中是否保留了“planning a visit to the water park once a quarter”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Planning a visit to the water park once a quarter"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“that garden... wait i mean garden court park”处理成了“Garden Court Park”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: that garden... wait i mean garden court park; clean: Garden Court Park"}, {"id": "q008", "category": "format", "question": "output中是否将“Garden Court Park”进行了正确的大小写规范化（首字母大写）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Garden Court Park"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ya, wanna, plus like, let me think, how should i say, i guess ha, wait, ma"}]}
{"status": "success", "index": 652, "source_record_id": "assigned_records.jsonl:8900", "source_line": 647, "audio": "audio/daily_chat__assigned_recordsjsonl8900.wav", "scene": "daily_chat", "language": "en", "oral": "dude i swear those people next door are really driving me crazy like i'm not totally sure but i think they're planning a surprise twenty fifth... oh no sorry thirtyth birthday party or something and i could hear zahra and oluchi just like shouting and sharing a life hack for cleaning the carpets at three in the morning like who even does that right i mean i tried to ignore it but it's just way too loud for a tuesday night", "clean": "Dude, I swear those people next door are really driving me crazy. I'm not totally sure, but I think they're planning a surprise 30th birthday party or something, and I could hear Zahra and Oluchi shouting and sharing a life hack for cleaning the carpets at 3:00am. Who even does that, right? I tried to ignore it, but it's just way too loud for a Tuesday night.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“twenty fifth... oh no sorry thirtyth”处理成了“30th”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: twenty fifth... oh no sorry thirtyth; clean: 30th"}, {"id": "q002", "category": "format", "question": "output中是否将“three in the morning”规范化成了“3:00am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three in the morning”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: three in the morning; clean: 3:00am"}, {"id": "q003", "category": "format", "question": "output中是否将“tuesday”规范化成了“Tuesday”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“tuesday”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: tuesday; clean: Tuesday"}, {"id": "q004", "category": "format", "question": "output中是否将“zahra and oluchi”规范化成了“Zahra and Oluchi”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“zahra and oluchi”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: zahra and oluchi; clean: Zahra and Oluchi"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: like, i mean; clean: 无"}, {"id": "q006", "category": "content", "question": "output中是否存在“driving me crazy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: driving me crazy"}, {"id": "q007", "category": "content", "question": "output中是否存在“life hack for cleaning the carpets”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: life hack for cleaning the carpets"}, {"id": "q008", "category": "content", "question": "output中是否存在“surprise birthday party”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: surprise birthday party"}]}
{"status": "success", "index": 653, "source_record_id": "assigned_records.jsonl:9110", "source_line": 651, "audio": "audio/daily_chat__assigned_recordsjsonl9110.wav", "scene": "daily_chat", "language": "en", "oral": "Man! you were venting venting about missed alarm... just like ten... five minutes ago... no wait two minutes ago... wait wrong it was about ten minutes ago! eh we were planning planning visit to flea market... at the... the Savoy Hotel... no wait at Burger King... wait wrong it is Savoy Hotel! i mean you just... just need some space maybe ya", "clean": "Man! You were venting about a missed alarm about 10 minutes ago. We were planning a visit to the flea market at the Savoy Hotel. You just need some space maybe.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“missed alarm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: about a missed alarm; oral: about missed alarm"}, {"id": "q002", "category": "format", "question": "output中是否将“ten minutes ago”规范化成了“10 minutes ago”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes ago”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: about 10 minutes ago; oral: about ten minutes ago"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“ten... five minutes ago... no wait two minutes ago... wait wrong it was about ten minutes ago”处理成了“about 10 minutes ago”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: about 10 minutes ago; oral: just like ten... five minutes ago... no wait two minutes ago... wait wrong it was about ten minutes ago"}, {"id": "q004", "category": "content", "question": "output中是否保留了“flea market”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: visit to the flea market; oral: visit to flea market"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“at the... the Savoy Hotel... no wait at Burger King... wait wrong it is Savoy Hotel”处理成了“at the Savoy Hotel”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: at the Savoy Hotel; oral: at the... the Savoy Hotel... no wait at Burger King... wait wrong it is Savoy Hotel"}, {"id": "q006", "category": "content", "question": "output中是否保留了“need some space”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: need some space; oral: need some space"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: venting venting, eh, planning planning, just... just, i mean, ya"}]}
{"status": "success", "index": 656, "source_record_id": "assigned_records.jsonl:9612", "source_line": 655, "audio": "audio/daily_chat__assigned_recordsjsonl9612.wav", "scene": "daily_chat", "language": "en", "oral": "so i found this place in Chelsea... oh no Kensington a few weeks ago that fancy a Lake Como vibe you know? like we were deciding which sneakers buy for marathon and i saw it. you fancy a go?", "clean": "I found this place in Kensington a few weeks ago that has a Lake Como vibe. We were deciding which sneakers to buy for the marathon and I saw it. Fancy a go?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“Chelsea... oh no Kensington”处理成了“Kensington”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Chelsea... oh no Kensington -> clean: Kensington"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: so, you know, like, you -> clean: 删除这些口语词"}, {"id": "q003", "category": "content", "question": "output中是否存在“Lake Como vibe”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Lake Como vibe"}, {"id": "q004", "category": "content", "question": "output中是否存在“sneakers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: sneakers"}, {"id": "q005", "category": "content", "question": "output中是否存在“marathon”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: marathon"}, {"id": "q006", "category": "format", "question": "output中是否将“kensington”规范化成了“Kensington”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“kensington”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Kensington"}, {"id": "q007", "category": "format", "question": "output中是否将句首的“i”规范化成了大写的“I”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“i”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: I found"}]}
{"status": "success", "index": 655, "source_record_id": "assigned_records.jsonl:9592", "source_line": 654, "audio": "audio/daily_chat__assigned_recordsjsonl9592.wav", "scene": "daily_chat", "language": "en", "oral": "hey so uh i went to like... the Lincoln Memorial... no wait the Washington Monument... uh actually it was the National Mall! and then spent like two hours planning a picnic in park with Poppy plus also keep complaining about loud air conditioner at home before we get together", "clean": "I went to the National Mall and then spent 2 hours planning a picnic in the park with Poppy, plus also kept complaining about the loud air conditioner at home before we got together", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'hey so uh', 'like...', 'uh actually'; clean: 无"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“the Lincoln Memorial... no wait the Washington Monument... uh actually it was the National Mall”处理成了“the National Mall”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'the Lincoln Memorial... no wait the Washington Monument... uh actually it was the National Mall!'; clean: 'the National Mall'"}, {"id": "q003", "category": "format", "question": "output中是否将“two hours”规范化成了“2 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'two hours'; clean: '2 hours'"}, {"id": "q004", "category": "content", "question": "output中是否存在“planning a picnic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'planning a picnic'"}, {"id": "q005", "category": "content", "question": "output中是否存在“with Poppy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'with Poppy'"}, {"id": "q006", "category": "content", "question": "output中是否存在“complaining about the loud air conditioner”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'complaining about the loud air conditioner'"}, {"id": "q007", "category": "content", "question": "output中是否存在“before we got together”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'before we got together'"}]}
{"status": "success", "index": 654, "source_record_id": "assigned_records.jsonl:8862", "source_line": 646, "audio": "audio/daily_chat__assigned_recordsjsonl8862.wav", "scene": "daily_chat", "language": "en", "oral": "hey so uh what'd you do this weekend? i actually went to singapore like... well i mean i just flew in and spent some time at clarke quay and uh had kofi with a friend while talking about a new fashion trend and like... at the same time i was thinking bout the sydney opera house since i want to go there too but anyway i just... stayed in the city center for two days", "clean": "Hey, what'd you do this weekend? I flew in and spent some time at Clarke Quay and had coffee with a friend while talking about a new fashion trend. At the same time, I was thinking about the Sydney Opera House since I want to go there too, but anyway I just stayed in the city center for 2 days.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“what'd you do this weekend”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: what'd you do this weekend?"}, {"id": "q002", "category": "content", "question": "output中是否保留了“flew in”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I flew in"}, {"id": "q003", "category": "content", "question": "output中是否保留了“coffee”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: had kofi; clean: had coffee"}, {"id": "q004", "category": "content", "question": "output中是否保留了“new fashion trend”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: talking about a new fashion trend"}, {"id": "q005", "category": "content", "question": "output中是否保留了“city center”这一语义？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: stayed in the city center"}, {"id": "q006", "category": "format", "question": "output中是否将“clarke quay”规范化为首字母大写的“Clarke Quay”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "oral: clarke quay; clean: Clarke Quay"}, {"id": "q007", "category": "format", "question": "output中是否将“sydney opera house”规范化为首字母大写的“Sydney Opera House”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "oral: sydney opera house; clean: Sydney Opera House"}, {"id": "q008", "category": "format", "question": "output中是否将“two days”规范化成了“2 days”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "oral: two days; clean: 2 days"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: hey so uh... like... well i mean... and uh... and like... bout... i just..."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“went to singapore like... well i mean i just flew in”处理成了“flew in”？", "options": [{"text": "保留最终结果且删掉被否定/解释性过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: i actually went to singapore like... well i mean i just flew in; clean: I flew in"}]}
{"status": "success", "index": 658, "source_record_id": "assigned_records.jsonl:9281", "source_line": 652, "audio": "audio/daily_chat__assigned_recordsjsonl9281.wav", "scene": "daily_chat", "language": "en", "oral": "Oh man! So uh I was hangin out with Kofi on Saturday and we was like planning dinner menu for guests... wait no I mean lunch menu for guests and then yall know how it is we spent like two hours just discussing cliffhanger in that TV series we keep talking about... I was tryna explain the twist to him but like I totally forgot the main part of the plot in the new episode... it was so wild man I really think the lead character is dead in the new season", "clean": "Oh man! I was hanging out with Kofi on Saturday and we were planning the lunch menu for guests, and then you all know how it is, we spent 2 hours just discussing the cliffhanger in that TV series we keep talking about... I was trying to explain the twist to him but I totally forgot the main part of the plot in the new episode... it was so wild man, I really think the lead character is dead in the new season", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“hanging out with Kofi on Saturday”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I was hanging out with Kofi on Saturday"}, {"id": "q002", "category": "content", "question": "output中是否保留了“discussing the cliffhanger in that TV series”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: discussing the cliffhanger in that TV series"}, {"id": "q003", "category": "content", "question": "output中是否保留了“explain the twist to him”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: explain the twist to him"}, {"id": "q004", "category": "content", "question": "output中是否保留了“the lead character is dead in the new season”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: the lead character is dead in the new season"}, {"id": "q005", "category": "format", "question": "output中是否将“two hours”规范化成了“2 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two hours; clean: 2 hours"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: So uh, we was like, tryna, yall, like I totally"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“dinner menu for guests... wait no I mean lunch menu for guests”处理成了“lunch menu for guests”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: planning dinner menu for guests... wait no I mean lunch menu for guests; clean: planning the lunch menu for guests"}]}
{"status": "success", "index": 657, "source_record_id": "assigned_records.jsonl:9292", "source_line": 653, "audio": "audio/daily_chat__assigned_recordsjsonl9292.wav", "scene": "daily_chat", "language": "en", "oral": "Hey Sarah, eh I gotta tell you I got like a crazy deal today. So I was scheduling dentist appointment over phone and basically multitasking while organizing surprise welcome home party for Chioma, you know? Then I saw this voucher for Pasta Palace and it was like fifty percent off but you get tickets to CN Tower too, just... how do you say... it was a total steal for only twenty dollars, like it was just too good to pass up right now in the new city, ya.", "clean": "Hey Sarah, I gotta tell you I got a crazy deal today. So I was scheduling a dentist appointment over the phone and multitasking while organizing a surprise welcome home party for Chioma. Then I saw this voucher for Pasta Palace and it was 50% off but you get tickets to CN Tower too; it was a total steal for only $20, it was just too good to pass up right now in the new city, ya.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"eh\", \"like\", \"basically\", \"you know?\", \"how do you say\""}, {"id": "q002", "category": "format", "question": "output中是否将“fifty percent”规范化成了“50%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifty percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"fifty percent\", clean: \"50%\""}, {"id": "q003", "category": "format", "question": "output中是否将“twenty dollars”规范化成了“$20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"twenty dollars\", clean: \"$20\""}, {"id": "q004", "category": "content", "question": "output中是否存在“surprise welcome home party for Chioma”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"surprise welcome home party for Chioma\""}, {"id": "q005", "category": "content", "question": "output中是否存在“voucher for Pasta Palace”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"voucher for Pasta Palace\""}, {"id": "q006", "category": "content", "question": "output中是否存在“tickets to CN Tower”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"tickets to CN Tower\""}, {"id": "q007", "category": "content", "question": "output中是否存在“total steal”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"total steal\""}]}
{"status": "success", "index": 660, "source_record_id": "assigned_records.jsonl:11778", "source_line": 659, "audio": "audio/dictation_memo__assigned_recordsjsonl11778.wav", "scene": "dictation_memo", "language": "zh", "oral": "说白了就是得赶紧把东西塞完，嗯，审稿审稿得带平板，还得跟钱助理同步一下，同步一下行程。我想想啊，Notion 里的对账单还得再核一遍，对账单核一遍才放心。诶，充电线好像忘在卧室在卧室了，赶紧拿上吧。", "clean": "说白了得赶紧把东西塞完，审稿得带平板，还得跟钱助理同步一下行程。Notion里的对账单还得再核一遍，对账单核一遍才放心。充电线好像忘在卧室了，赶紧拿上吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“把东西塞完”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "得赶紧把东西塞完"}, {"id": "q002", "category": "content", "question": "output中是否存在“审稿”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "审稿得带平板"}, {"id": "q003", "category": "content", "question": "output中是否存在“带平板”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "审稿得带平板"}, {"id": "q004", "category": "content", "question": "output中是否存在“钱助理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "还得跟钱助理同步一下行程"}, {"id": "q005", "category": "content", "question": "output中是否存在“同步行程”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "还得跟钱助理同步一下行程"}, {"id": "q006", "category": "content", "question": "output中是否存在“对账单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Notion里的对账单还得再核一遍"}, {"id": "q007", "category": "content", "question": "output中是否存在“核一遍”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "对账单还得再核一遍"}, {"id": "q008", "category": "content", "question": "output中是否存在“充电线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "充电线好像忘在卧室了"}, {"id": "q009", "category": "content", "question": "output中是否存在“卧室”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "充电线好像忘在卧室了"}, {"id": "q010", "category": "format", "question": "output中是否将“notion”或类似发音规范化成了首字母大写的“Notion”？", "options": [{"text": "存在首字母大写的“Notion”", "score": 1}, {"text": "存在全小写的“notion”或类似发音", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Notion里的对账单"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯，审稿审稿...我想想啊...诶，...在卧室在卧室"}]}
{"status": "success", "index": 661, "source_record_id": "assigned_records.jsonl:11779", "source_line": 660, "audio": "audio/dictation_memo__assigned_recordsjsonl11779.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，我想想啊，婚礼请帖与其找外面公司做，不如直接用Canva自己搞，比花三千五百块找人设计更省心。顺便问问周经理，不对，得问周姐，孩子能不能带去，要是带孩子比不带孩子更麻烦吧。", "clean": "婚礼请帖与其找外面公司做，不如直接用Canva自己搞，比花3500元找人设计更省心。顺便问问周姐，孩子能不能带去，要是带孩子比不带孩子更麻烦吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯，我想想啊，\""}, {"id": "q002", "category": "format", "question": "output中是否将“三千五百块”规范化成了“3500元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"三千五百块\" clean: \"3500元\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“周经理，不对，得问周姐”处理成了“周姐”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"周经理，不对，得问周姐\" clean: \"周姐\""}, {"id": "q004", "category": "content", "question": "output中是否存在“婚礼请帖与其找外面公司做”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"婚礼请帖与其找外面公司做\""}, {"id": "q005", "category": "content", "question": "output中是否存在“Canva”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Canva\""}, {"id": "q006", "category": "content", "question": "output中是否存在“找人设计更省心”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"找人设计更省心\""}, {"id": "q007", "category": "content", "question": "output中是否存在“孩子能不能带去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"孩子能不能带去\""}, {"id": "q008", "category": "content", "question": "output中是否存在“要是带孩子比不带孩子更麻烦吧”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"要是带孩子比不带孩子更麻烦吧\""}]}
{"status": "success", "index": 662, "source_record_id": "assigned_records.jsonl:11764", "source_line": 658, "audio": "audio/dictation_memo__assigned_recordsjsonl11764.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，先是把韩医生那个病例发给吴老师，吴老师那个最新的病例，然后把Slack上那个链接，不对，是知乎上那个链接发过去哈，最后再跟进跟进一下进度吧，我想想啊，大概在下午三点半左右发到道他邮箱里呀。", "clean": "先是把韩医生的病例发给吴老师，吴老师最新的病例，然后把知乎上那个链接发过去，最后再跟进一下进度，大概在15:30左右发到他邮箱里。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“韩医生的病例”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 先是把韩医生的病例发给吴老师"}, {"id": "q002", "category": "format", "question": "output中是否将“下午三点半”规范化成了“15:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午三点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 下午三点半; clean: 15:30"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 哈, 吧, 我想想啊, 呀, 跟进跟进"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“Slack上那个链接，不对，是知乎上那个链接”处理成了“知乎上那个链接”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Slack上那个链接，不对，是知乎上那个链接; clean: 知乎上那个链接"}, {"id": "q005", "category": "content", "question": "output中是否存在“吴老师最新的病例”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 吴老师最新的病例"}, {"id": "q006", "category": "content", "question": "output中是否存在“发到他邮箱里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 发到他邮箱里"}]}
{"status": "success", "index": 659, "source_record_id": "assigned_records.jsonl:11734", "source_line": 657, "audio": "audio/dictation_memo__assigned_recordsjsonl11734.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，充电线拿了没，对了，吴经理说文件在百度网盘，百度网盘里那个文件夹，我得赶紧下好。话说房东那边得打个招呼，哦对了，钥匙给孙姐，给孙姐吧。诶，Slack消息发给财务了没，发给财务三号，啊不，是五号，哈。我想想啊，行程单打印两份，两份才稳妥嘛。", "clean": "充电线拿了没？对了，吴经理说文件在百度网盘，百度网盘里那个文件夹，我得赶紧下好。话说房东那边得打个招呼，哦对了，钥匙给孙姐吧。Slack消息发给财务了没，发给财务5号。我想想，行程单打印2份，2份才稳妥嘛。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“充电线拿了没”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"充电线拿了没？\""}, {"id": "q002", "category": "content", "question": "output中是否存在“吴经理说文件在百度网盘”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"吴经理说文件在百度网盘\""}, {"id": "q003", "category": "content", "question": "output中是否存在“房东那边得打个招呼”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"房东那边得打个招呼\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“钥匙给孙姐，给孙姐吧”处理成了“钥匙给孙姐吧”？", "options": [{"text": "保留最终结果且删掉重复过程", "score": 2}, {"text": "删掉重复过程但最终结果不完整", "score": 1}, {"text": "仍保留重复过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"钥匙给孙姐，给孙姐吧\" -> clean: \"钥匙给孙姐吧\""}, {"id": "q005", "category": "format", "question": "output中是否保留了首字母大写的“Slack”？", "options": [{"text": "保留了首字母大写的“Slack”", "score": 1}, {"text": "保留了但首字母未大写", "score": 0}, {"text": "缺失或首字母大写错误", "score": -1}], "evidence": "oral: \"Slack\" -> clean: \"Slack\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“发给财务三号，啊不，是五号”处理成了“发给财务五号”或“发给财务5号”？", "options": [{"text": "保留最终结果且删掉纠错过程", "score": 2}, {"text": "删掉纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"发给财务三号，啊不，是五号\" -> clean: \"发给财务5号\""}, {"id": "q007", "category": "format", "question": "output中是否将“五号”规范化成了“5号”？", "options": [{"text": "保留了“5号”", "score": 1}, {"text": "仍保留“五号”但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "oral: \"五号\" -> clean: \"5号\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"嗯\", \"诶\", \"啊\", \"给孙姐，给孙姐\" -> clean: 删除了这些口语词和重复词"}, {"id": "q009", "category": "format", "question": "output中是否将“两份”规范化成了“2份”？", "options": [{"text": "保留了“2份”", "score": 1}, {"text": "仍保留“两份”但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "oral: \"两份\" -> clean: \"2份\""}]}
{"status": "success", "index": 666, "source_record_id": "assigned_records.jsonl:11817", "source_line": 663, "audio": "audio/dictation_memo__assigned_recordsjsonl11817.wav", "scene": "dictation_memo", "language": "zh", "oral": "你说家里还剩多少蚝油？我想想啊，好像没多少蚝油，顺便把生抽也买了。诶，是美团快还是饿了么快？小王小王之前说美团送得快，林主管也这么说。买两瓶，买两瓶大号的，我想想啊，应该得花二十块左右吧。我觉得美团可以。", "clean": "你说家里还剩多少蚝油？我想想，好像没多少蚝油，顺便把生抽也买了。是美团快还是饿了么快？小王之前说美团送得快，林主管也这么说。买2瓶大号的，应该得花20元左右吧。我觉得美团可以。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“生抽”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 顺便把生抽也买了"}, {"id": "q002", "category": "content", "question": "output中是否存在“林主管”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 林主管也这么说"}, {"id": "q003", "category": "format", "question": "output中是否将“二十”规范化成了“20”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 应该得花二十块左右吧 -> clean: 应该得花20元左右吧"}, {"id": "q004", "category": "format", "question": "output中是否将“两瓶”规范化成了“2瓶”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两瓶”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 买两瓶 -> clean: 买2瓶"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想想啊 / 诶， / 小王小王 / 买两瓶，买两瓶 / 我想想啊 -> clean: 我想想 / 是美团快 / 小王之前 / 买2瓶 / 应该得花"}]}
{"status": "success", "index": 663, "source_record_id": "assigned_records.jsonl:11702", "source_line": 656, "audio": "audio/dictation_memo__assigned_recordsjsonl11702.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，年终总结怎么写嘛。我想想啊，与其把所有细节都堆在石墨文档里，不如先在Trello列个清单。比单纯列时间线更重要的是突出成果，突出成果哈。诶，之前知乎上看到的那个方法，就是把数据对比写得具体一点，得写得具体一点。接着，吴老师提到的那三个核心指标，得在二零二三年十二月三十一号之前跑完。我想想，其实比追求完美更关键是赶紧写完吧，在石墨文档里直接敲就行了。", "clean": "年终总结怎么写。与其把所有细节都堆在石墨文档里，不如先在Trello列个清单。比单纯列时间线更重要的是突出成果。之前知乎上看到的那个方法，就是把数据对比写得具体一点。接着，吴老师提到的那三个核心指标，得在2023年12月31日之前跑完。其实比追求完美更关键是赶紧写完吧，在石墨文档里直接敲就行了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“年终总结”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 年终总结怎么写 / oral: 年终总结怎么写嘛"}, {"id": "q002", "category": "content", "question": "output中是否存在“石墨文档”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 与其把所有细节都堆在石墨文档里 / oral: 与其把所有细节都堆在石墨文档里"}, {"id": "q003", "category": "format", "question": "output中是否保留了“Trello”且首字母大写？", "options": [{"text": "保留了“Trello”且首字母大写", "score": 1}, {"text": "存在“Trello”但未首字母大写或拼写不同但读音一致", "score": 0}, {"text": "不存在该词或拼写及读音均错误", "score": -1}], "evidence": "clean: 不如先在Trello列个清单 / oral: 不如先在Trello列个清单"}, {"id": "q004", "category": "content", "question": "output中是否存在“时间线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 比单纯列时间线更重要的是 / oral: 比单纯列时间线更重要的是"}, {"id": "q005", "category": "content", "question": "output中是否存在“知乎”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 之前知乎上看到的那个方法 / oral: 之前知乎上看到的那个方法"}, {"id": "q006", "category": "content", "question": "output中是否存在“数据对比”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 就是把数据对比写得具体一点 / oral: 就是把数据对比写得具体一点"}, {"id": "q007", "category": "content", "question": "output中是否存在“吴老师”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 吴老师提到的那三个核心指标 / oral: 吴老师提到的那三个核心指标"}, {"id": "q008", "category": "content", "question": "output中是否存在“核心指标”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那三个核心指标 / oral: 那三个核心指标"}, {"id": "q009", "category": "format", "question": "output中是否将“二零二三年十二月三十一号”规范化成了“2023年12月31日”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二三年十二月三十一号”", "score": 0}, {"text": "不存在该日期或规范化错误", "score": -1}], "evidence": "clean: 得在2023年12月31日之前跑完 / oral: 得在二零二三年十二月三十一号之前跑完"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯 / 嘛 / 我想想啊 / 突出成果哈 / 诶 / 得写得具体一点(重复)"}]}
{"status": "success", "index": 665, "source_record_id": "assigned_records.jsonl:11813", "source_line": 662, "audio": "audio/dictation_memo__assigned_recordsjsonl11813.wav", "scene": "dictation_memo", "language": "zh", "oral": "今天练腿状态太差，主要是昨天预约预约太晚，没睡够。深蹲做了四组，每组十二个，不对，是十个。把这些记录记录到Trello里，一会儿回家续费会员。刚才滴滴司机问我怎么走，我正把百度网盘链接发他，完全没心思训练。", "clean": "今天练腿状态太差，主要是昨天预约太晚，没睡够。深蹲做了4组，每组10个。把这些记录到Trello里，一会儿回家续费会员。刚才滴滴司机问我怎么走，我正把百度网盘链接发他，完全没心思训练。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“练腿状态”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 今天练腿状态太差"}, {"id": "q002", "category": "content", "question": "output中是否存在“百度网盘”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我正把百度网盘链接发他"}, {"id": "q003", "category": "content", "question": "output中是否存在“没睡够”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 没睡够"}, {"id": "q004", "category": "content", "question": "output中是否存在“滴滴司机”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 刚才滴滴司机问我怎么走"}, {"id": "q005", "category": "format", "question": "output中是否将“四组”规范化成了“4组”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“四组”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 深蹲做了四组 -> clean: 深蹲做了4组"}, {"id": "q006", "category": "format", "question": "output中是否将“Trello”保持了首字母大写的正确格式“Trello”？", "options": [{"text": "保持了正确的首字母大写格式", "score": 1}, {"text": "没有保持正确格式但存在该词", "score": 0}, {"text": "不存在该词或格式错误", "score": -1}], "evidence": "oral: Trello -> clean: Trello"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 预约预约, 记录记录 -> clean: 预约, 记录"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“十二个，不对，是十个”处理成了“10个”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 每组十二个，不对，是十个 -> clean: 每组10个"}]}
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{"status": "success", "index": 668, "source_record_id": "assigned_records.jsonl:11827", "source_line": 665, "audio": "audio/dictation_memo__assigned_recordsjsonl11827.wav", "scene": "dictation_memo", "language": "zh", "oral": "孙主任说得那个药得每天吃两回，然后，那个…怎么说呢…得在饭后半个钟头再吃，另外记得把那个腾讯会议链接发给赵总，还有让小王帮郑先生预约下周三下午两点半的复诊，记得得在那个预约苑里操作。", "clean": "孙主任说那个药得每天吃2回，得在饭后30分钟再吃，另外记得把腾讯会议链接发给赵总，还有让小王帮郑先生预约下周三14:30的复诊，记得得在预约院里操作。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 然后，那个…怎么说呢… / 说得那个药 / 把那个 / 在那个"}, {"id": "q002", "category": "format", "question": "output中是否将“两回”规范化成了“2回”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两回”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 每天吃两回, clean: 每天吃2回"}, {"id": "q003", "category": "format", "question": "output中是否将“半个钟头”规范化成了“30分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“半个钟头”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 饭后半个钟头, clean: 饭后30分钟"}, {"id": "q004", "category": "format", "question": "output中是否将“下午两点半”规范化成了“14:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午两点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 下周三下午两点半, clean: 下周三14:30"}, {"id": "q005", "category": "content", "question": "output中是否保留了“孙主任说那个药”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 孙主任说那个药"}, {"id": "q006", "category": "content", "question": "output中是否保留了“把腾讯会议链接发给赵总”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把腾讯会议链接发给赵总"}, {"id": "q007", "category": "content", "question": "output中是否保留了“让小王帮郑先生预约复诊”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 让小王帮郑先生预约...复诊"}, {"id": "q008", "category": "content", "question": "output中是否保留了“在预约院里操作”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 在预约院里操作"}]}
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{"status": "success", "index": 670, "source_record_id": "assigned_records.jsonl:11832", "source_line": 667, "audio": "audio/dictation_memo__assigned_recordsjsonl11832.wav", "scene": "dictation_memo", "language": "zh", "oral": "那个，先是得把马总预定那个鱼露买回来，然后，我想想，还得买那个，怎么说呢，把刚才抖音看到那个特种酱油加上，除此之外，钱助理说要买两瓶白醋，最后，最后得买三块钱一包那个盐，对了，得买两包。", "clean": "先得把马总预定的鱼露买回来，然后把刚才抖音看到的特种酱油加上，除此之外，钱助理说要买2瓶白醋，最后得买3元一包的盐，得买2包。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"那个，先是...然后，我想想...怎么说呢...最后，最后...对了...\""}, {"id": "q002", "category": "format", "question": "output中是否将“两瓶”规范化成了“2瓶”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两瓶”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"两瓶白醋\", clean: \"2瓶白醋\""}, {"id": "q003", "category": "format", "question": "output中是否将“三块钱”规范化成了“3元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三块钱”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"三块钱一包\", clean: \"3元一包\""}, {"id": "q004", "category": "format", "question": "output中是否将“两包”规范化成了“2包”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两包”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"得买两包\", clean: \"得买2包\""}, {"id": "q005", "category": "content", "question": "output中是否存在“马总预定的鱼露”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"马总预定那个鱼露\", clean: \"马总预定的鱼露\""}, {"id": "q006", "category": "content", "question": "output中是否存在“抖音看到的特种酱油”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"抖音看到那个特种酱油\", clean: \"抖音看到的特种酱油\""}, {"id": "q007", "category": "content", "question": "output中是否存在“钱助理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"钱助理说要买两瓶白醋\", clean: \"钱助理说要买2瓶白醋\""}, {"id": "q008", "category": "content", "question": "output中是否存在“白醋”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"钱助理说要买两瓶白醋\", clean: \"钱助理说要买2瓶白醋\""}]}
{"status": "success", "index": 673, "source_record_id": "assigned_records.jsonl:11841", "source_line": 668, "audio": "audio/dictation_memo__assigned_recordsjsonl11841.wav", "scene": "dictation_memo", "language": "zh", "oral": "诶，年终总结不是写成工作流水账吧，其实得突出重点。我想想啊，前台接待这块，不是说只要接电话，其实核心是客情维护。比如郑女士，郑女士那次投诉，我处理得不错。怎么说呢，滴滴报销的事，小李小李得帮我核对下，总额大概是三千四百块。赵总赵总之前提过，要提高效率，哈，这个得重点写。", "clean": "年终总结不要写成工作流水账，其实得突出重点。前台接待这块，不是说只要接电话，其实核心是客情维护。比如郑女士那次投诉，我处理得不错。滴滴报销的事，小李得帮我核对下，总额大概是3400元。赵总之前提过，要提高效率，这个得重点写。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“工作流水账”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 年终总结不要写成工作流水账"}, {"id": "q002", "category": "content", "question": "output中是否存在“客情维护”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 其实核心是客情维护"}, {"id": "q003", "category": "content", "question": "output中是否存在“滴滴报销”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 滴滴报销的事"}, {"id": "q004", "category": "content", "question": "output中是否存在“提高效率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 要提高效率"}, {"id": "q005", "category": "format", "question": "output中是否将“三千四百块”规范化成了“3400元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千四百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 总额大概是三千四百块 / clean: 总额大概是3400元"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 我想想啊 / 郑女士，郑女士 / 小李小李 / 赵总赵总 / 哈"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“不是写成工作流水账吧”处理成了“不要写成工作流水账”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 年终总结不是写成工作流水账吧 / clean: 年终总结不要写成工作流水账"}]}
{"status": "success", "index": 672, "source_record_id": "assigned_records.jsonl:11831", "source_line": 666, "audio": "audio/dictation_memo__assigned_recordsjsonl11831.wav", "scene": "dictation_memo", "language": "zh", "oral": "关于韩医生那个项目，目前进度是这样的，之前在Slack上跟周主管对过，整体差不多完成了百分之八十，但有个问题，那个…我想想…要是把知乎那块的权重…怎么说呢，如果把数据同步频率调高点，应该会更稳，钱经理那边要是…要是觉得太激进可能不答应，这个方案你觉得呢？我想再确认一下，怕得不到认可。", "clean": "关于韩医生那个项目，目前进度是这样的，之前在Slack上跟周主管对过，整体差不多完成了80%，但有个问题，要是把知乎那块的权重，如果把数据同步频率调高点，应该会更稳，钱经理那边要是觉得太激进可能不答应，这个方案你觉得呢？我想再确认一下，怕得不到认可。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“韩医生”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "关于韩医生那个项目"}, {"id": "q002", "category": "content", "question": "output中是否存在“Slack”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "之前在Slack上跟周主管对过"}, {"id": "q003", "category": "content", "question": "output中是否存在“周主管”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "之前在Slack上跟周主管对过"}, {"id": "q004", "category": "content", "question": "output中是否存在“知乎”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "要是把知乎那块的权重"}, {"id": "q005", "category": "content", "question": "output中是否存在“钱经理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "钱经理那边要是觉得太激进可能不答应"}, {"id": "q006", "category": "format", "question": "output中是否将“百分之八十”规范化成了“80%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之八十”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "整体差不多完成了百分之八十 -> 整体差不多完成了80%"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "那个…我想想… / 怎么说呢 / 要是…要是"}]}
{"status": "success", "index": 671, "source_record_id": "assigned_records.jsonl:11965", "source_line": 670, "audio": "audio/dictation_memo__assigned_recordsjsonl11965.wav", "scene": "dictation_memo", "language": "zh", "oral": "说白了，嗯，这次流程得把Slack以及企微同步整合起来，就是把把同步整合起来，这样订票系统在再调用的时候才不会乱。我想想啊，最初预想是三个接口，哦不是，四个接口，然后通过Zoom开会定一下细节，细节，最后发给客户确认吧。", "clean": "说白了，这次流程得把Slack以及企微同步整合起来，这样订票系统在调用的时候才不会乱。最初预想是4个接口，然后通过Zoom开会定一下细节，最后发给客户确认吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 把把, 在再, 我想想啊, 细节，细节"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“三个接口，哦不是，四个接口”处理成了“4个接口”或“四个接口”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "三个接口，哦不是，四个接口 -> 4个接口"}, {"id": "q003", "category": "format", "question": "output中是否将“四个接口”规范化成了“4个接口”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“四个接口”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "四个接口 -> 4个接口"}, {"id": "q004", "category": "content", "question": "output中是否存在“Slack以及企微同步整合起来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Slack以及企微同步整合起来"}, {"id": "q005", "category": "content", "question": "output中是否存在“订票系统在调用的时候才不会乱”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "订票系统在调用的时候才不会乱"}, {"id": "q006", "category": "content", "question": "output中是否存在“通过Zoom开会定一下细节”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "通过Zoom开会定一下细节"}, {"id": "q007", "category": "content", "question": "output中是否存在“最后发给客户确认”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最后发给客户确认吧"}]}
{"status": "success", "index": 674, "source_record_id": "assigned_records.jsonl:11998", "source_line": 673, "audio": "audio/dictation_memo__assigned_recordsjsonl11998.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，周主管说这个鱼得先腌三十分钟，我觉得三十分钟三十分钟太久了，容易太咸吧。我想想啊，孙姐给我的那个，百度网盘里那个文档，说是得加百分之五的糖，郑先生在GitHub上面分享的配方也提到这点，得加糖加糖才行，哈。", "clean": "周主管说这个鱼得先腌30分钟，我觉得30分钟太久了，容易太咸吧。我想想，孙姐给我的百度网盘里那个文档，说是得加5%的糖，郑先生在GitHub上面分享的配方也提到这点，得加糖才行。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 三十分钟三十分钟, 我想想啊, 那个, 加糖加糖, 哈"}, {"id": "q002", "category": "format", "question": "output中是否将“三十分钟”规范化成了“30分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三十分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "三十分钟 -> 30分钟"}, {"id": "q003", "category": "format", "question": "output中是否将“百分之五”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“百分之五”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "百分之五 -> 5%"}, {"id": "q004", "category": "format", "question": "output中是否将“GitHub”保持了正确的大小写格式“GitHub”？", "options": [{"text": "保持了正确的大小写格式", "score": 1}, {"text": "大小写错误但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "GitHub -> GitHub"}, {"id": "q005", "category": "content", "question": "output中是否保留了“周主管说这个鱼得先腌”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "周主管说这个鱼得先腌"}, {"id": "q006", "category": "content", "question": "output中是否保留了“容易太咸”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "容易太咸吧"}, {"id": "q007", "category": "content", "question": "output中是否保留了“孙姐给我的百度网盘里那个文档”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "孙姐给我的百度网盘里那个文档"}, {"id": "q008", "category": "content", "question": "output中是否保留了“郑先生在GitHub上面分享的配方也提到这点”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "郑先生在GitHub上面分享的配方也提到这点"}]}
{"status": "success", "index": 675, "source_record_id": "assigned_records.jsonl:12010", "source_line": 674, "audio": "audio/dictation_memo__assigned_recordsjsonl12010.wav", "scene": "dictation_memo", "language": "zh", "oral": "关于那个续费逻辑，我刚才想，咱们能不能参考下知乎或者美团那种，呃，就是把那个...怎么说呢...如果把入口直接放在首页顶端，这样用户感知度更高。对了，这块儿得让小李那边核对下，你看这么搞行吗？", "clean": "关于续费逻辑，我刚才想，咱们能不能参考下知乎或者美团那种，如果把入口直接放在首页顶端，这样用户感知度更高。对了，这块儿得让小李那边核对下，你看这么搞行吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“续费逻辑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 关于续费逻辑"}, {"id": "q002", "category": "content", "question": "output中是否存在“知乎或者美团”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 参考下知乎或者美团那种"}, {"id": "q003", "category": "content", "question": "output中是否存在“入口直接放在首页顶端”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 如果把入口直接放在首页顶端"}, {"id": "q004", "category": "content", "question": "output中是否存在“用户感知度更高”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这样用户感知度更高"}, {"id": "q005", "category": "content", "question": "output中是否存在“小李那边核对下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这块儿得让小李那边核对下"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 关于那个...呃，就是把那个...怎么说呢..."}]}
{"status": "success", "index": 676, "source_record_id": "assigned_records.jsonl:12019", "source_line": 675, "audio": "audio/dictation_memo__assigned_recordsjsonl12019.wav", "scene": "dictation_memo", "language": "zh", "oral": "诶，明天到底要搞定多少事儿？我想想啊，上午十点半得先跟郑经理开个Zoom会，讨论下知乎那边推广方案，就是，得把预算调到三千五百块，哎呀，对了，还得看看美团外卖那个数据报告，抖音那边 短视频脚本得改一遍，我想应该能搞定吧。", "clean": "明天到底要搞定多少事儿？我想想，10:30得先跟郑经理开个Zoom会，讨论下知乎那边推广方案，得把预算调到3500元，还得看看美团外卖那个数据报告，抖音那边短视频脚本得改一遍，我想应该能搞定吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '诶', '啊', '就是', '哎呀，对了'"}, {"id": "q002", "category": "format", "question": "output中是否将“上午十点半”规范化成了“10:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“上午十点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '上午十点半', clean: '10:30'"}, {"id": "q003", "category": "format", "question": "output中是否将“三千五百块”规范化成了“3500元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: '三千五百块', clean: '3500元'"}, {"id": "q004", "category": "content", "question": "output中是否存在“郑经理”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '郑经理'"}, {"id": "q005", "category": "content", "question": "output中是否存在“知乎”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '知乎'"}, {"id": "q006", "category": "content", "question": "output中是否存在“推广方案”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '推广方案'"}, {"id": "q007", "category": "content", "question": "output中是否存在“美团外卖”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '美团外卖'"}, {"id": "q008", "category": "content", "question": "output中是否存在“数据报告”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '数据报告'"}, {"id": "q009", "category": "content", "question": "output中是否存在“抖音”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '抖音'"}, {"id": "q010", "category": "content", "question": "output中是否存在“短视频脚本”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '短视频脚本'"}]}
{"status": "success", "index": 677, "source_record_id": "assigned_records.jsonl:11993", "source_line": 672, "audio": "audio/dictation_memo__assigned_recordsjsonl11993.wav", "scene": "dictation_memo", "language": "zh", "oral": "哎呀太夸张了，今天深蹲居然推了一百二十公斤，嗯，冯总冯总之前说能到这个重量，我还没敢信。记录在Trello，记录在Trello里，得把数据传到Zoom会议那个文档里，我想想啊，周主任再三提醒过要量力而行，结果我今天竟然到点位了。", "clean": "太夸张了，今天深蹲居然推了120公斤，冯总之前说能到这个重量，我还没敢信。记录在Trello里，得把数据传到Zoom会议那个文档里，周主任再三提醒过要量力而行，结果我今天竟然到点位了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“深蹲”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 今天深蹲居然推了120公斤"}, {"id": "q002", "category": "content", "question": "output中是否存在“到点位了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 结果我今天竟然到点位了"}, {"id": "q003", "category": "format", "question": "output中是否将“一百二十公斤”规范化成了“120公斤”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一百二十公斤”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 一百二十公斤; clean: 120公斤"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哎呀...嗯...冯总冯总...我想想啊"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“记录在Trello，记录在Trello里”处理成了“记录在Trello里”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 记录在Trello，记录在Trello里; clean: 记录在Trello里"}]}
{"status": "success", "index": 678, "source_record_id": "assigned_records.jsonl:12124", "source_line": 677, "audio": "audio/dictation_memo__assigned_recordsjsonl12124.wav", "scene": "dictation_memo", "language": "zh", "oral": "马总说GitHub那个权限得改改，得改改。本来想让小李给周姐开读写权限，啊不对，是只读权限。你那边Slack同步下，同步下这个事，你觉得呢？", "clean": "马总说GitHub那个权限得改，本来想让小李给周姐开只读权限。你那边Slack同步下这个事，你觉得呢？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“马总说”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 马总说GitHub那个权限得改"}, {"id": "q002", "category": "content", "question": "output中是否存在“给周姐开权限”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 本来想让小李给周姐开只读权限"}, {"id": "q003", "category": "content", "question": "output中是否存在“你觉得呢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得呢？"}, {"id": "q004", "category": "format", "question": "output中是否将“GitHub”保持了正确的大小写形式“GitHub”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“github”等小写形式", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: GitHub, clean: GitHub"}, {"id": "q005", "category": "format", "question": "output中是否将“Slack”保持了正确的大小写形式“Slack”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“slack”等小写形式", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: Slack, clean: Slack"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 得改改，得改改 / 同步下，同步下, clean: 得改 / 同步下"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“读写权限，啊不对，是只读权限”处理成了“只读权限”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 读写权限，啊不对，是只读权限, clean: 只读权限"}]}
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{"status": "success", "index": 683, "source_record_id": "assigned_records.jsonl:12193", "source_line": 681, "audio": "audio/dictation_memo__assigned_recordsjsonl12193.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，吴教授说那个药得续费，另外还得跟周主管汇报一下，我也不太确定具体时间，但是感觉得在下午三点半之前弄完，怎么说呢，要是时间来不及的话，可能得约个Zoom开会确认一下吧。", "clean": "吴教授说那个药得续费，另外还得跟周主管汇报一下，我也不太确定具体时间，但是感觉得在15:30之前弄完，要是时间来不及的话，可能得约个Zoom开会确认一下吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“吴教授说那个药得续费”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 吴教授说那个药得续费"}, {"id": "q002", "category": "content", "question": "output中是否存在“跟周主管汇报一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 跟周主管汇报一下"}, {"id": "q003", "category": "content", "question": "output中是否存在“约个Zoom开会确认一下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 约个Zoom开会确认一下"}, {"id": "q004", "category": "format", "question": "output中是否将“下午三点半”规范化成了“15:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午三点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 下午三点半, clean: 15:30"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯， / 怎么说呢，"}]}
{"status": "success", "index": 684, "source_record_id": "assigned_records.jsonl:12158", "source_line": 679, "audio": "audio/dictation_memo__assigned_recordsjsonl12158.wav", "scene": "dictation_memo", "language": "zh", "oral": "如果钱管家能把那个房东给说通，说通的话，那我们就能在二零二五年三月一号之前把定金拿回来，那个…要是把…怎么说呢…如果把吴老师也拉进来帮着说，咱们就能把三千五百块快快拿回来，赶紧联系联系郑先生，问他能不能再到道那边帮个忙。", "clean": "如果钱管家能把房东给说通，说通的话，那我们就能在2025年3月1日之前把定金拿回来。如果把吴老师也拉进来帮着说，咱们就能把3500元快快拿回来，赶紧联系联系郑先生，问他能不能在道那边帮个忙。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“把定金拿回来”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把定金拿回来"}, {"id": "q002", "category": "format", "question": "output中是否将“二零二五年三月一号”规范化成了“2025年3月1日”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二零二五年三月一号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 二零二五年三月一号; clean: 2025年3月1日"}, {"id": "q003", "category": "format", "question": "output中是否将“三千五百块”规范化成了“3500元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三千五百块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 三千五百块; clean: 3500元"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个…要是把…怎么说呢…"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“再到道那边”处理成了“在道那边”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 再到道那边; clean: 在道那边"}]}
{"status": "success", "index": 685, "source_record_id": "assigned_records.jsonl:12200", "source_line": 682, "audio": "audio/dictation_memo__assigned_recordsjsonl12200.wav", "scene": "dictation_memo", "language": "zh", "oral": "还得买瓶生抽，然后那个...怎么说呢...把小红书上那个低钠版记一下，哦不是，是买美团那个低钠版，另外得看看滴滴账单，我想想...那个...得把欠赵总钱的事儿给结了，然后等下Zoom会议结束赶紧下单。", "clean": "还得买瓶生抽，然后把美团那个低钠版记一下，另外得看看滴滴账单，得把欠赵总钱的事儿给结了，然后等下Zoom会议结束赶紧下单。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "那个...怎么说呢..., 我想想...那个..."}, {"id": "q002", "category": "rephrase", "question": "output中是否将“小红书上那个低钠版...哦不是，是买美团那个低钠版”处理成了“美团那个低钠版”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "把小红书上那个低钠版记一下，哦不是，是买美团那个低钠版 -> 把美团那个低钠版记一下"}, {"id": "q003", "category": "format", "question": "output中是否将会议软件名称写成了大写的“Zoom”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Zoom”或“zoom”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Zoom"}, {"id": "q004", "category": "content", "question": "output中是否保留了“买瓶生抽”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "还得买瓶生抽"}, {"id": "q005", "category": "content", "question": "output中是否保留了“看看滴滴账单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "另外得看看滴滴账单"}, {"id": "q006", "category": "content", "question": "output中是否保留了“欠赵总钱的事儿给结了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "得把欠赵总钱的事儿给结了"}, {"id": "q007", "category": "content", "question": "output中是否保留了“会议结束赶紧下单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "等下Zoom会议结束赶紧下单"}]}
{"status": "success", "index": 686, "source_record_id": "assigned_records.jsonl:12278", "source_line": 684, "audio": "audio/dictation_memo__assigned_recordsjsonl12278.wav", "scene": "dictation_memo", "language": "zh", "oral": "对了，得赶紧把GitHub仓库同步一下，同步一下，不然到现场没网麻烦。嗯，钱助理说这次体检报告得带原件，带原件，诶，话说小王说帮我订了下午两点半的票，啊不对，是三点半的票，哈。哦对了，Canva那个演示文稿还没导出，得赶紧弄完吧。", "clean": "得赶紧把GitHub仓库同步一下，不然到现场没网麻烦。钱助理说这次体检报告得带原件。话说小王说帮我订了15:30的票。对了，Canva那个演示文稿还没导出，得赶紧弄完吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“GitHub仓库”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "得赶紧把GitHub仓库同步一下"}, {"id": "q002", "category": "format", "question": "output中是否将时间规范化成了“15:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午两点半”或“三点半”", "score": 0}, {"text": "不存在该时间或规范化错误", "score": -1}], "evidence": "帮我订了下午两点半的票，啊不对，是三点半的票 -> 帮我订了15:30的票"}, {"id": "q003", "category": "format", "question": "output中是否将演示文稿软件名称规范化为首字母大写的“Canva”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“canva”等小写形式", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Canva那个演示文稿还没导出"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词（如“对了”“嗯”“诶”“哈”“哦”），或重复词语（如“同步一下，同步一下”“带原件，带原件”）情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "对了...同步一下，同步一下...嗯...带原件，带原件...诶...哈...哦对了"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“下午两点半的票，啊不对，是三点半的票”处理成了最终结果“三点半的票”或“15:30的票”，并删除了“啊不对”等纠错过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "帮我订了下午两点半的票，啊不对，是三点半的票 -> 帮我订了15:30的票"}, {"id": "q006", "category": "content", "question": "output中是否保留了“到现场没网麻烦”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "不然到现场没网麻烦"}, {"id": "q007", "category": "content", "question": "output中是否保留了“钱助理”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "钱助理说这次体检报告得带原件"}, {"id": "q008", "category": "content", "question": "output中是否保留了“体检报告”和“原件”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "钱助理说这次体检报告得带原件"}, {"id": "q009", "category": "content", "question": "output中是否保留了“小王”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "话说小王说帮我订了15:30的票"}, {"id": "q010", "category": "content", "question": "output中是否保留了“演示文稿”和“导出”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Canva那个演示文稿还没导出"}, {"id": "q011", "category": "content", "question": "output中是否保留了“弄完”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "得赶紧弄完吧"}]}
{"status": "success", "index": 687, "source_record_id": "assigned_records.jsonl:12290", "source_line": 685, "audio": "audio/dictation_memo__assigned_recordsjsonl12290.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，这个做法比起小红书上那个教程更简单，与其在那儿死磕火候不如直接用空气炸锅，记得提醒小王把钱管家同步一下，对了最后得把截图发到Slack，我想想，应该是再加热两分钟就行，这样比之前那个版本好得多。", "clean": "这个做法比起小红书上的教程更简单，与其在那儿死磕火候不如直接用空气炸锅，记得提醒小王把钱管家同步一下，对了最后得把截图发到Slack，应该是再加热2分钟就行，这样比之前那个版本好得多。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“空气炸锅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接用空气炸锅"}, {"id": "q002", "category": "content", "question": "output中是否存在“钱管家”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 提醒小王把钱管家同步一下"}, {"id": "q003", "category": "content", "question": "output中是否存在“Slack”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 把截图发到Slack"}, {"id": "q004", "category": "format", "question": "output中是否将“两分钟”规范化成了“2分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 两分钟, clean: 2分钟"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 我想想"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“我想想，应该是”处理成了“应该是”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我想想，应该是, clean: 应该是"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“小红书上那个教程”处理成了“小红书上的教程”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 小红书上那个教程, clean: 小红书上的教程"}]}
{"status": "success", "index": 688, "source_record_id": "assigned_records.jsonl:12308", "source_line": 686, "audio": "audio/dictation_memo__assigned_recordsjsonl12308.wav", "scene": "dictation_memo", "language": "zh", "oral": "充电宝充好没，充电宝得带上，给郑经理准备文件，给郑经理准备的文件放包里没，不对，是给郑先生准备，周工说得带个U盘，U盘得带个备份的，滴滴约下午两点半，啊不，两点一刻到机场，郑女士那边会议时间没变吧。", "clean": "充电宝充好没，充电宝得带上。给郑先生准备的文件放包里没？周工说得带个U盘，U盘得带个备份的。滴滴约14:15到机场，郑女士那边会议时间没变吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“充电宝充好没，充电宝得带上”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"充电宝充好没，充电宝得带上。\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“给郑经理准备文件...不对，是给郑先生准备”处理成了“给郑先生准备”？", "options": [{"text": "保留最终结果且删掉纠错过程", "score": 2}, {"text": "删掉纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"给郑经理准备文件，给郑经理准备的文件放包里没，不对，是给郑先生准备\", clean: \"给郑先生准备的文件放包里没？\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“周工说得带个U盘，U盘得带个备份的”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"周工说得带个U盘，U盘得带个备份的。\""}, {"id": "q004", "category": "format", "question": "output中是否将“两点一刻”规范化成了“14:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“两点一刻”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: \"两点一刻\", clean: \"14:15\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“郑女士那边会议时间没变吧”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"郑女士那边会议时间没变吧。\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"不对\", \"啊不\", clean: 无"}]}
{"status": "success", "index": 689, "source_record_id": "assigned_records.jsonl:12275", "source_line": 683, "audio": "audio/dictation_memo__assigned_recordsjsonl12275.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，捐赠清单，先记一下。那个给赵总的两本杂志，不对，其实给吴老师更合适，就放一起吧。诶，还有小红书上刷到说要捐旧衣服，得把Trello里标记三件，不对，是三件长袖，得赶紧跟进一下，我想想啊，是不是得装在那个大纸箱子里呀。", "clean": "捐赠清单，先记一下。给吴老师的两本杂志，就放一起吧。还有小红书上刷到说要捐旧衣服，得把Trello里标记3件长袖，得赶紧跟进一下，我想想，是不是得装在那个大纸箱子里呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“捐赠清单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 捐赠清单"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“给赵总的两本杂志，不对，其实给吴老师更合适”处理成了“给吴老师的两本杂志”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 给赵总的两本杂志，不对，其实给吴老师更合适; clean: 给吴老师的两本杂志"}, {"id": "q003", "category": "format", "question": "output中是否将“Trello”保持为首字母大写的“Trello”？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "存在该词但未首字母大写", "score": 0}, {"text": "不存在该词或拼写错误", "score": -1}], "evidence": "clean: Trello"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“三件，不对，是三件长袖”处理成了“3件长袖”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 三件，不对，是三件长袖; clean: 3件长袖"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 诶, 我想想啊"}, {"id": "q006", "category": "content", "question": "output中是否存在“小红书”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 小红书"}, {"id": "q007", "category": "content", "question": "output中是否存在“大纸箱子里”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 大纸箱子里"}]}
{"status": "success", "index": 690, "source_record_id": "assigned_records.jsonl:12354", "source_line": 688, "audio": "audio/dictation_memo__assigned_recordsjsonl12354.wav", "scene": "dictation_memo", "language": "zh", "oral": "诶，如果美团能把接机服务和对账流程给整合起来，我想想啊，要是能让快递小哥顺便说一下，帮用户把东西带到机场的话，那我们就能，怎么说呢，直接提升整体配送效率吧。", "clean": "如果美团能把接机服务和对账流程整合起来，要是能让快递小哥顺便帮用户把东西带到机场的话，那我们就能直接提升整体配送效率吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"诶，...我想想啊，...顺便说一下，...怎么说呢，...给整合起来\" -> clean: 删除了这些口语词。"}, {"id": "q002", "category": "content", "question": "output中是否保留了“美团”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"美团\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“接机服务”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"接机服务\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“对账流程”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"对账流程\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“快递小哥”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"快递小哥\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“整体配送效率”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"整体配送效率\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“顺便说一下，帮用户”处理成了“顺便帮用户”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"顺便说一下，帮用户\" -> clean: \"顺便帮用户\""}]}
{"status": "success", "index": 691, "source_record_id": "assigned_records.jsonl:12312", "source_line": 687, "audio": "audio/dictation_memo__assigned_recordsjsonl12312.wav", "scene": "dictation_memo", "language": "zh", "oral": "孙姐，刚才看那套三室两厅，采光真不错，但那个客厅面积大概有二十五平米，哦不是，是十八平米，有点局促。吴老师推荐那套虽然贵，但地段没得说。对了，那个李经理说能打九五折，我得赶紧把这些对比项填到Trello里去，省得忘了。", "clean": "孙姐，刚才看那套三室两厅，采光真不错，但客厅面积大概有18平米，有点局促。吴老师推荐那套虽然贵，但地段没得说。对了，李经理说能打95折，我得赶紧把这些对比项填到Trello里去，省得忘了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“三室两厅”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 三室两厅"}, {"id": "q002", "category": "content", "question": "output中是否存在“采光真不错”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 采光真不错"}, {"id": "q003", "category": "content", "question": "output中是否存在“有点局促”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 有点局促"}, {"id": "q004", "category": "content", "question": "output中是否存在“吴老师推荐那套虽然贵”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 吴老师推荐那套虽然贵"}, {"id": "q005", "category": "content", "question": "output中是否存在“地段没得说”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 地段没得说"}, {"id": "q006", "category": "content", "question": "output中是否存在“对比项”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 对比项"}, {"id": "q007", "category": "content", "question": "output中是否存在“省得忘了”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 省得忘了"}, {"id": "q008", "category": "format", "question": "output中是否将“十八平米”规范化成了“18平米”？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“十八平米”(0)", "不存在这个词或规范化结果(-1)"], "evidence": "oral: 十八平米, clean: 18平米"}, {"id": "q009", "category": "format", "question": "output中是否将“九五折”规范化成了“95折”？", "options": ["进行了相同或合理的规范化(1)", "没有进行规范化但存在“九五折”(0)", "不存在这个词或规范化结果(-1)"], "evidence": "oral: 九五折, clean: 95折"}, {"id": "q010", "category": "format", "question": "output中是否保留了专有名词“Trello”且大小写正确？", "options": ["保留了目标规范化结果(1)", "仍保留原始说法但没规范化(0)", "缺失或规范化错误(-1)"], "evidence": "oral: Trello, clean: Trello"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: 那个, 哦不是"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“二十五平米，哦不是，是十八平米”处理成了“18平米”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 二十五平米，哦不是，是十八平米, clean: 18平米"}]}
{"status": "success", "index": 693, "source_record_id": "assigned_records.jsonl:12449", "source_line": 693, "audio": "audio/dictation_memo__assigned_recordsjsonl12449.wav", "scene": "dictation_memo", "language": "zh", "oral": "诶，你说婚礼视觉评审得定在几号，我想想啊，得在电话回访完之后，然后记得预约美容，怎么说呢，还得准备个PPT，应该得定在下周三吧。", "clean": "你说婚礼视觉评审得定在几号，得在电话回访完之后，然后记得预约美容，还得准备个PPT，应该得定在下周三吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶、我想想啊、怎么说呢"}, {"id": "q002", "category": "format", "question": "output中是否将英文缩写规范化成了大写的“PPT”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“PPT”或“ppt”", "score": 0}, {"text": "不存在该词或输出为其他错误形式", "score": -1}], "evidence": "PPT"}, {"id": "q003", "category": "content", "question": "output中是否存在“婚礼视觉评审”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "婚礼视觉评审"}, {"id": "q004", "category": "content", "question": "output中是否存在“电话回访”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "电话回访"}, {"id": "q005", "category": "content", "question": "output中是否存在“预约美容”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "预约美容"}, {"id": "q006", "category": "content", "question": "output中是否存在“下周三”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "下周三"}]}
{"status": "success", "index": 694, "source_record_id": "assigned_records.jsonl:12360", "source_line": 690, "audio": "audio/dictation_memo__assigned_recordsjsonl12360.wav", "scene": "dictation_memo", "language": "zh", "oral": "吴总说这些旧设备捐掉捐掉比较好，我觉得挺好，得赶紧腾空间。先把那个小王给我的企业微信文档找出来，得核对核对清单。韩总之前提到审稿那个文件夹，好像在那个旧硬盘里，得一起捐了。那个硬盘大概有五百个G，五百个G，应该能用，先放进箱子吧。", "clean": "吴总说这些旧设备捐掉比较好，我觉得挺好，得赶紧腾空间。先把小王给我的企业微信文档找出来，得核对清单。韩总之前提到审稿那个文件夹，好像在旧硬盘里，得一起捐了。那个硬盘大概有500G，应该能用，先放进箱子吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“企业微信文档”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 企业微信文档; oral: 企业微信文档"}, {"id": "q002", "category": "content", "question": "output中是否存在“审稿”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 审稿; oral: 审稿"}, {"id": "q003", "category": "content", "question": "output中是否存在“腾空间”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 腾空间; oral: 腾空间"}, {"id": "q004", "category": "format", "question": "output中是否将“五百个G”规范化成了“500G”？", "options": [{"text": "输出了“500G”", "score": 1}, {"text": "没有进行规范化但存在“五百个G”", "score": 0}, {"text": "不存在“500G”或“五百个G”", "score": -1}], "evidence": "clean: 500G; oral: 五百个G"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clean: 捐掉比较好...核对清单...旧硬盘; oral: 捐掉捐掉...核对核对...那个旧硬盘"}]}
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{"status": "success", "index": 692, "source_record_id": "assigned_records.jsonl:12357", "source_line": 689, "audio": "audio/dictation_memo__assigned_recordsjsonl12357.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，今天这行程，我觉得与其在市区逛，不如直接打滴滴去那个博物馆，比挤地铁舒服多了。刚才算了下，打车花了五十八块，不对，是六十二块。再者，还得把之前在京东买的那个充电宝给周主任，我想想啊，明天见面对比发快递更稳当吧。对了，还得用Canva改一下行程单，到道酒店再发给他们，那个排版得弄好呀。", "clean": "今天这行程，我觉得与其在市区逛，不如直接打滴滴去博物馆，比挤地铁舒服多了。刚才算了下，打车花了62元。再者，还得把之前在京东买的充电宝给周主任，明天见面对比发快递更稳当吧。对了，还得用Canva改一下行程单，到酒店再发给他们，那个排版得弄好呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, 那个, 我想想啊"}, {"id": "q002", "category": "format", "question": "output中是否将“六十二块”规范化成了“62元”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“六十二块”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "六十二块 -> 62元"}, {"id": "q003", "category": "format", "question": "output中是否将“Canva”保持了首字母大写的专有名词格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Canva”或“canva”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Canva"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“五十八块，不对，是六十二块”处理成了“62元”或“六十二块”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "五十八块，不对，是六十二块 -> 62元"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“到道酒店”处理成了“到酒店”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "到道酒店 -> 到酒店"}, {"id": "q006", "category": "content", "question": "output中是否存在“今天这行程，我觉得与其在市区逛，不如”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "今天这行程，我觉得与其在市区逛，不如"}, {"id": "q007", "category": "content", "question": "output中是否存在“打滴滴去博物馆”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "打滴滴去博物馆"}, {"id": "q008", "category": "content", "question": "output中是否存在“比挤地铁舒服多了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "比挤地铁舒服多了"}, {"id": "q009", "category": "content", "question": "output中是否存在“刚才算了下，打车花了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "刚才算了下，打车花了"}, {"id": "q010", "category": "content", "question": "output中是否存在“把之前在京东买的充电宝给周主任”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把之前在京东买的充电宝给周主任"}, {"id": "q011", "category": "content", "question": "output中是否存在“明天见面对比发快递更稳当”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天见面对比发快递更稳当吧"}, {"id": "q012", "category": "content", "question": "output中是否存在“用Canva改一下行程单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "用Canva改一下行程单"}, {"id": "q013", "category": "content", "question": "output中是否存在“再发给他们”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "到酒店再发给他们"}, {"id": "q014", "category": "content", "question": "output中是否存在“排版得弄好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "那个排版得弄好呀"}]}
{"status": "success", "index": 697, "source_record_id": "assigned_records.jsonl:12455", "source_line": 694, "audio": "audio/dictation_memo__assigned_recordsjsonl12455.wav", "scene": "dictation_memo", "language": "zh", "oral": "如果打车能直接对接Foxmail，那…哎怎么说，如果能直接起草邮件的话，咱们就能在Microsoft Teams再撰写指南，省得得手动导出了。", "clean": "如果打车能直接对接Foxmail，如果能直接起草邮件的话，咱们就能在Microsoft Teams撰写指南，省得手动导出了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Foxmail”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“foxmail”或类似发音", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Foxmail; oral: Foxmail"}, {"id": "q002", "category": "format", "question": "output中是否将“Microsoft Teams”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“microsoft teams”或类似发音", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "clean: Microsoft Teams; oral: Microsoft Teams"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那…哎怎么说; 得得"}, {"id": "q004", "category": "content", "question": "output中是否保留了“直接对接”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 直接对接; oral: 直接对接"}, {"id": "q005", "category": "content", "question": "output中是否保留了“起草邮件”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 起草邮件; oral: 起草邮件"}, {"id": "q006", "category": "content", "question": "output中是否保留了“撰写指南”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 撰写指南; oral: 再撰写指南"}, {"id": "q007", "category": "content", "question": "output中是否保留了“手动导出”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 手动导出; oral: 手动导出"}]}
{"status": "success", "index": 698, "source_record_id": "assigned_records.jsonl:12480", "source_line": 695, "audio": "audio/dictation_memo__assigned_recordsjsonl12480.wav", "scene": "dictation_memo", "language": "zh", "oral": "嗯，如果把这些数据先导进 Google Sheets 话，Google Sheets 吧，那咱们就能快速汇总，对了，办理年检，不对，是寄快递那个流程，我想想啊，如果把 Logseq 里的笔记，笔记直接用 Google Translate 翻译，翻译成英文的话，那我们就能直接发给外方了呀。", "clean": "如果把这些数据先导进Google Sheets，那咱们就能快速汇总。关于寄快递那个流程，如果把Logseq里的笔记直接用Google Translate翻译成英文的话，那我们就能直接发给外方了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "嗯, Google Sheets 话，Google Sheets 吧, 对了, 我想想啊, 笔记，笔记, 呀"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“办理年检，不对，是寄快递那个流程”处理成了“寄快递那个流程”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "办理年检，不对，是寄快递那个流程"}, {"id": "q003", "category": "format", "question": "output中是否将“google sheets”规范化成了“Google Sheets”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Google Sheets"}, {"id": "q004", "category": "format", "question": "output中是否将“logseq”规范化成了“Logseq”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Logseq"}, {"id": "q005", "category": "format", "question": "output中是否将“google translate”规范化成了“Google Translate”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Google Translate"}, {"id": "q006", "category": "content", "question": "output中是否存在“把这些数据先导进”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "把这些数据先导进"}, {"id": "q007", "category": "content", "question": "output中是否存在“快速汇总”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "快速汇总"}, {"id": "q008", "category": "content", "question": "output中是否存在“翻译成英文”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "翻译成英文"}, {"id": "q009", "category": "content", "question": "output中是否存在“发给外方”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "发给外方"}]}
{"status": "success", "index": 699, "source_record_id": "assigned_records.jsonl:12482", "source_line": 696, "audio": "audio/dictation_memo__assigned_recordsjsonl12482.wav", "scene": "dictation_memo", "language": "zh", "oral": "明天早上九点得先看钉钉，钉钉上那个测试工程师发的消息，再一个，我得把 Bank of China 那个报表导出来，导出来核对一遍。我也不太确定，但是感觉数据好像有问题，怎么说呢，如果把对比维度换一下可能更准。哦不对，是换成月度维度。而且而且明天下午两点半还得开会，得赶紧准备准备。", "clean": "明天早上9:00得先看钉钉，钉钉上测试工程师发的消息。再一个，我得把 Bank of China 那个报表导出来核对一遍。我不太确定，但感觉数据好像有问题，如果把对比维度换成月度维度可能更准。而且明天14:30还得开会，得赶紧准备准备。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“九点”规范化成了“9:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“九点”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 明天早上九点; clean: 明天早上9:00"}, {"id": "q002", "category": "format", "question": "output中是否将“下午两点半”规范化成了“14:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“下午两点半”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 明天下午两点半; clean: 明天14:30"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 怎么说呢, 哦不对, 而且而且; clean: 无"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“如果把对比维度换一下可能更准。哦不对，是换成月度维度。”处理成了“如果把对比维度换成月度维度可能更准。”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 如果把对比维度换一下可能更准。哦不对，是换成月度维度。; clean: 如果把对比维度换成月度维度可能更准。"}, {"id": "q005", "category": "content", "question": "output中是否存在“测试工程师发的消息”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 测试工程师发的消息; clean: 测试工程师发的消息"}, {"id": "q006", "category": "content", "question": "output中是否存在“Bank of China”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: Bank of China; clean: Bank of China"}, {"id": "q007", "category": "content", "question": "output中是否存在“数据好像有问题”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 感觉数据好像有问题; clean: 感觉数据好像有问题"}, {"id": "q008", "category": "content", "question": "output中是否存在“赶紧准备准备”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 得赶紧准备准备; clean: 得赶紧准备准备"}]}
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{"status": "success", "index": 708, "source_record_id": "assigned_records.jsonl:16930", "source_line": 708, "audio": "audio/navigation__assigned_recordsjsonl16930.wav", "scene": "navigation", "language": "zh", "oral": "说白了，去崟山，嗯，走寰宇大道，别走长安街，对了，改走隽永路吧。", "clean": "说白了，去崟山走隽永路，别走长安街。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“说白了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 说白了"}, {"id": "q002", "category": "content", "question": "output中是否存在“去崟山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去崟山"}, {"id": "q003", "category": "content", "question": "output中是否存在“别走长安街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 别走长安街"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯，对了，吧"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“走寰宇大道，对了，改走隽永路吧”处理成了“走隽永路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 走寰宇大道...改走隽永路吧, clean: 走隽永路"}]}
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{"status": "success", "index": 710, "source_record_id": "assigned_records.jsonl:12483", "source_line": 697, "audio": "audio/dictation_memo__assigned_recordsjsonl12483.wav", "scene": "dictation_memo", "language": "zh", "oral": "如果把那个战略讨论的PDF发给Kevin的话，那我们就能在会议上管理库存，管理库存得更高效，哎，那个发给Kevin，不对，发给Linda，这样她能提前看。要是能把那个Outlook日程再，怎么说呢，如果把Outlook日程提前同步好，同步好，那我就不用在路上再查一遍，查一遍那个时间点在没在行程单里。", "clean": "如果把战略讨论的PDF发给Linda的话，那我们就能在会议上管理库存得更高效，这样她能提前看。如果把Outlook日程提前同步好，那我就不用在路上再查一遍时间点在没在行程单里。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“战略讨论”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 战略讨论"}, {"id": "q002", "category": "content", "question": "output中是否存在“管理库存”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 管理库存"}, {"id": "q003", "category": "content", "question": "output中是否存在“会议上”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 会议上"}, {"id": "q004", "category": "content", "question": "output中是否存在“提前看”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 提前看"}, {"id": "q005", "category": "content", "question": "output中是否存在“行程单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 行程单"}, {"id": "q006", "category": "format", "question": "output中是否将“PDF”保留为英文字母大写形式？", "options": [{"text": "保留了英文字母大写形式", "score": 1}, {"text": "没有保留大写形式但存在“pdf”或对应读音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: PDF"}, {"id": "q007", "category": "format", "question": "output中是否将“Outlook”保留为英文字母首字母大写形式？", "options": [{"text": "保留了首字母大写形式", "score": 1}, {"text": "没有保留首字母大写形式但存在“outlook”或对应读音", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: Outlook"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 哎, 怎么说呢, 管理库存，管理库存, 同步好，同步好, 查一遍，查一遍"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“发给Kevin，不对，发给Linda”处理成了“发给Linda”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 发给Kevin，不对，发给Linda; clean: 发给Linda"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“要是能把那个Outlook日程再，怎么说呢，如果把Outlook日程提前同步好”处理成了“如果把Outlook日程提前同步好”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 要是能把那个Outlook日程再，怎么说呢，如果把Outlook日程提前同步好; clean: 如果把Outlook日程提前同步好"}]}
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{"status": "success", "index": 715, "source_record_id": "assigned_records.jsonl:17028", "source_line": 713, "audio": "audio/navigation__assigned_recordsjsonl17028.wav", "scene": "navigation", "language": "zh", "oral": "诶，我这会儿在涠洲岛那边，我想想啊，在麒麟路一零二号，不对，一零三号，等等错了，是一零四号，您直接开到环球路御道街口哈！", "clean": "我这会儿在涠洲岛那边，在麒麟路104号，您直接开到环球路御道街口哈！", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，我想想啊"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“一零二号，不对，一零三号，等等错了，是一零四号”处理成了“104号”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "一零二号，不对，一零三号，等等错了，是一零四号 -> 104号"}, {"id": "q003", "category": "format", "question": "output中是否将“一零四号”规范化成了“104号”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一零四号”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "一零四号 -> 104号"}, {"id": "q004", "category": "content", "question": "output中是否存在“涠洲岛”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "涠洲岛"}, {"id": "q005", "category": "content", "question": "output中是否存在“环球路御道街口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "环球路御道街口"}]}
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{"status": "success", "index": 716, "source_record_id": "assigned_records.jsonl:17043", "source_line": 714, "audio": "audio/navigation__assigned_recordsjsonl17043.wav", "scene": "navigation", "language": "zh", "oral": "诶，请问出口在御道街，啊不是，麒麟路那边？我想再到...怎么说呢，往建国门外大结走走得通嘛？", "clean": "请问出口在麒麟路那边？我想往建国门外大街走走得通吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶, 啊不是, 怎么说呢"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“御道街，啊不是，麒麟路”处理成了“麒麟路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 御道街，啊不是，麒麟路; clean: 麒麟路"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“我想再到...怎么说呢，往”处理成了“我想往”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我想再到...怎么说呢，往; clean: 我想往"}, {"id": "q004", "category": "content", "question": "output中是否存在“建国门外大街”？", "options": [{"text": "有，或写成了同音/近音字如“大结”", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 建国门外大结; clean: 建国门外大街"}, {"id": "q005", "category": "content", "question": "output中是否存在“走走得通”？", "options": [{"text": "有，或写成了同音/近音字如“嘛”", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 走走得通嘛; clean: 走走得通吗"}]}
{"status": "success", "index": 718, "source_record_id": "assigned_records.jsonl:17060", "source_line": 717, "audio": "audio/navigation__assigned_recordsjsonl17060.wav", "scene": "navigation", "language": "zh", "oral": "我登机口在曙光路，曙光路那边，得走麒麟路再绕道御道街，御道街走过去，你觉得这样走对不对？", "clean": "我登机口在曙光路，得走麒麟路再绕道御道街走过去，你觉得这样走对不对？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“登机口在曙光路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我登机口在曙光路"}, {"id": "q002", "category": "content", "question": "output中是否保留了“得走麒麟路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得走麒麟路"}, {"id": "q003", "category": "content", "question": "output中是否保留了“再绕道御道街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再绕道御道街"}, {"id": "q004", "category": "content", "question": "output中是否保留了“走过去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 御道街走过去"}, {"id": "q005", "category": "content", "question": "output中是否保留了“你觉得这样走对不对”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得这样走对不对"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 曙光路，曙光路那边；御道街，御道街走过去"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“曙光路，曙光路那边”处理成了“曙光路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 曙光路，曙光路那边；clean: 曙光路"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“御道街，御道街走过去”处理成了“御道街走过去”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 御道街，御道街走过去；clean: 御道街走过去"}]}
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{"status": "success", "index": 723, "source_record_id": "assigned_records.jsonl:17319", "source_line": 723, "audio": "audio/navigation__assigned_recordsjsonl17319.wav", "scene": "navigation", "language": "zh", "oral": "诶，对了，这家店在共和路还是南京路哈，我想想啊，是在汊口那边三层吧？", "clean": "这家店在共和路还是南京路，是在汊口那边3层吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，对了， / 哈， / 我想想啊，"}, {"id": "q002", "category": "format", "question": "output中是否将“三层”规范化成了“3层”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三层”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "三层 -> 3层"}, {"id": "q003", "category": "content", "question": "output中是否存在“这家店在共和路还是南京路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "这家店在共和路还是南京路"}, {"id": "q004", "category": "content", "question": "output中是否存在“是在汊口那边”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "是在汊口那边"}]}
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{"status": "success", "index": 726, "source_record_id": "assigned_records.jsonl:17260", "source_line": 722, "audio": "audio/navigation__assigned_recordsjsonl17260.wav", "scene": "navigation", "language": "zh", "oral": "简单来说，你从靖康路那边进来，过了濉江，嗯，就在汊口路拐弯，诶，我想想啊，你直接走崇礼路，吧，往崀山那个方向开，就是，应该是二号门进。", "clean": "简单来说，你从靖康路那边进来，过了濉江，在汊口路拐弯，你直接走崇礼路，往崀山那个方向开，应该是2号门进。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“靖康路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 靖康路; oral: 靖康路"}, {"id": "q002", "category": "content", "question": "output中是否存在“濉江”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 濉江; oral: 濉江"}, {"id": "q003", "category": "content", "question": "output中是否存在“汊口路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 汊口路; oral: 汊口路"}, {"id": "q004", "category": "content", "question": "output中是否存在“崇礼路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 崇礼路; oral: 崇礼路"}, {"id": "q005", "category": "content", "question": "output中是否存在“崀山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 崀山; oral: 崀山"}, {"id": "q006", "category": "format", "question": "output中是否将“二号门”规范化成了“2号门”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二号门”", "score": 0}, {"text": "不存在“2号门”或“二号门”", "score": -1}], "evidence": "oral: 二号门; clean: 2号门"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯, 诶，我想想啊, 吧, 就是; clean: 无"}]}
{"status": "success", "index": 725, "source_record_id": "assigned_records.jsonl:17214", "source_line": 720, "audio": "audio/navigation__assigned_recordsjsonl17214.wav", "scene": "navigation", "language": "zh", "oral": "师傅去麒麟路，麒麟路那个茑屋。哦对了，走崇礼路走崇礼路，别走潖口，潖口那道堵得厉害，对了得走汊河路汊河路再绕过去。", "clean": "师傅去麒麟路茑屋。走崇礼路，别走潖口，潖口那道堵得厉害，得走汊河路再绕过去。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“师傅”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "师傅去麒麟路茑屋"}, {"id": "q002", "category": "content", "question": "output中是否保留了“麒麟路茑屋”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "师傅去麒麟路茑屋"}, {"id": "q003", "category": "content", "question": "output中是否保留了“崇礼路”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "走崇礼路"}, {"id": "q004", "category": "content", "question": "output中是否保留了“潖口”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "别走潖口"}, {"id": "q005", "category": "content", "question": "output中是否保留了“堵得厉害”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "潖口那道堵得厉害"}, {"id": "q006", "category": "content", "question": "output中是否保留了“汊河路”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "得走汊河路"}, {"id": "q007", "category": "content", "question": "output中是否保留了“再绕过去”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "再绕过去"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "麒麟路，麒麟路那个茑屋。哦对了，走崇礼路走崇礼路...对了得走汊河路汊河路"}]}
{"status": "success", "index": 727, "source_record_id": "assigned_records.jsonl:17322", "source_line": 725, "audio": "audio/navigation__assigned_recordsjsonl17322.wav", "scene": "navigation", "language": "zh", "oral": "咱们下服务区下服务区吧，我得去趟梓州路，哦不是，是靖安路，你开到开到那个珞珈山附近再停，得赶紧走，不然朝阳门内大街那边得堵死。", "clean": "咱们下服务区吧，我得去趟靖安路，你开到珞珈山附近再停，得赶紧走，不然朝阳门内大街那边得堵死。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "下服务区下服务区吧 -> 下服务区吧；开到开到那个 -> 开到"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“梓州路，哦不是，是靖安路”处理成了“靖安路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "梓州路，哦不是，是靖安路 -> 靖安路"}, {"id": "q003", "category": "content", "question": "output中是否存在“珞珈山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "珞珈山"}, {"id": "q004", "category": "content", "question": "output中是否存在“朝阳门内大街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "朝阳门内大街"}]}
{"status": "success", "index": 728, "source_record_id": "assigned_records.jsonl:17510", "source_line": 728, "audio": "audio/navigation__assigned_recordsjsonl17510.wav", "scene": "navigation", "language": "zh", "oral": "快递员，你走崇光路崇光路，转到寰宇大到，到了麓山大道麓山大道左转，在皛曄苑门口停，你再看下位置。", "clean": "快递员，你走崇光路，转到寰宇大道，到了麓山大道左转，在皛曄苑门口停，你再看下位置。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“快递员”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"快递员\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“崇光路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"崇光路\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“寰宇大道”？", "options": [{"text": "有（包含同音/近音词）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"寰宇大道\" (oral: \"寰宇大到\")"}, {"id": "q004", "category": "content", "question": "output中是否保留了“麓山大道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"麓山大道\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“左转”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"左转\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“皛曄苑”？", "options": [{"text": "有（包含同音/近音词）", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"皛曄苑\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“门口停”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"门口停\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“再看下位置”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"再看下位置\""}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"崇光路崇光路\", \"麓山大道麓山大道\""}]}
{"status": "success", "index": 729, "source_record_id": "assigned_records.jsonl:17540", "source_line": 729, "audio": "audio/navigation__assigned_recordsjsonl17540.wav", "scene": "navigation", "language": "zh", "oral": "要是那个，走霄云路那边能直接到的话，那我们就能，额，换个说，如果能直接走潏江路过去的话，是不是快一点？", "clean": "如果能直接走潏江路过去的话，是不是快一点？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“走潏江路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 走潏江路"}, {"id": "q002", "category": "content", "question": "output中是否存在“快一点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 快一点"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, 额, 换个说"}, {"id": "q004", "category": "rephrase", "question": "output中是否去除了“走霄云路那边能直接到的话”并保留了最终结果“走潏江路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 走霄云路那边能直接到的话...换个说，如果能直接走潏江路; clean: 走潏江路"}]}
{"status": "success", "index": 731, "source_record_id": "assigned_records.jsonl:17542", "source_line": 730, "audio": "audio/navigation__assigned_recordsjsonl17542.wav", "scene": "navigation", "language": "zh", "oral": "我现在在璟南路璟南路这边，不对，是鲁迅路，鲁迅路这边出站口等你，你觉得你觉得怎么走快？", "clean": "我现在在鲁迅路这边出站口等你，你觉得怎么走快？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“璟南路...不对，是鲁迅路”处理成了“鲁迅路”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 璟南路璟南路这边，不对，是鲁迅路，鲁迅路这边; clean: 鲁迅路这边"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: 璟南路璟南路, 鲁迅路，鲁迅路, 你觉得你觉得; clean: 无重复"}, {"id": "q003", "category": "content", "question": "output中是否保留了“出站口”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 出站口"}, {"id": "q004", "category": "content", "question": "output中是否保留了“怎么走快”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 怎么走快"}]}
{"status": "success", "index": 730, "source_record_id": "assigned_records.jsonl:17501", "source_line": 727, "audio": "audio/navigation__assigned_recordsjsonl17501.wav", "scene": "navigation", "language": "zh", "oral": "诶，帮我指下登机口怎么走，就是我得赶快去，因为我之前在潏江那边走错了，还绕到承天大道跟崀山那边去，怎么说呢，感觉像在买籼米一样乱转，现在得赶紧去栖霞路那个口吧。", "clean": "帮我指下登机口怎么走，我得赶快去，因为我之前在潏江那边走错了，还绕到承天大道跟崀山那边去，感觉像在买籼米一样乱转，现在得赶紧去栖霞路那个口吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“登机口怎么走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 帮我指下登机口怎么走"}, {"id": "q002", "category": "content", "question": "output中是否存在“潏江”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 因为我之前在潏江那边走错了"}, {"id": "q003", "category": "content", "question": "output中是否存在“承天大道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 还绕到承天大道跟崀山那边去"}, {"id": "q004", "category": "content", "question": "output中是否存在“崀山”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 还绕到承天大道跟崀山那边去"}, {"id": "q005", "category": "content", "question": "output中是否存在“买籼米”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 感觉像在买籼米一样乱转"}, {"id": "q006", "category": "content", "question": "output中是否存在“栖霞路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 现在得赶紧去栖霞路那个口吧"}, {"id": "q007", "category": "content", "question": "output中是否存在“乱转”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 感觉像在买籼米一样乱转"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，...就是我得...怎么说呢，... -> clean中删除了这些口语词和插入语"}]}
{"status": "success", "index": 732, "source_record_id": "assigned_records.jsonl:17794", "source_line": 732, "audio": "audio/navigation__assigned_recordsjsonl17794.wav", "scene": "navigation", "language": "zh", "oral": "诶，去积水潭得坐哪路，是坐动车转芍药居吗？我想想，得在钟楼下车，体育西路那边太远，还是走这一路吧。", "clean": "去积水潭得坐哪路，是坐动车转芍药居吗？得在钟楼下车，体育西路那边太远，还是走这一路吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“积水潭”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去积水潭得坐哪路"}, {"id": "q002", "category": "content", "question": "output中是否存在“坐哪路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去积水潭得坐哪路"}, {"id": "q003", "category": "content", "question": "output中是否存在“动车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是坐动车转芍药居吗"}, {"id": "q004", "category": "content", "question": "output中是否存在“芍药居”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是坐动车转芍药居吗"}, {"id": "q005", "category": "content", "question": "output中是否存在“钟楼”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得在钟楼下车"}, {"id": "q006", "category": "content", "question": "output中是否存在“下车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 得在钟楼下车"}, {"id": "q007", "category": "content", "question": "output中是否存在“体育西路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 体育西路那边太远"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，去积水潭得坐哪路...我想想，得在钟楼下车"}]}
{"status": "success", "index": 736, "source_record_id": "assigned_records.jsonl:17807", "source_line": 734, "audio": "audio/navigation__assigned_recordsjsonl17807.wav", "scene": "navigation", "language": "zh", "oral": "诶，直接往山顶走，就是往山顶走，因为武汉站那边堵，走体育西路，不对，走体育西道，嗯，在大街...在大街这边掉头再掉头哈。", "clean": "直接往山顶走，因为武汉站那边堵，走体育西道，在大街这边掉头哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“往山顶走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接往山顶走; oral: 直接往山顶走"}, {"id": "q002", "category": "content", "question": "output中是否存在“武汉站那边堵”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 因为武汉站那边堵; oral: 因为武汉站那边堵"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“走体育西路，不对，走体育西道”处理成了“走体育西道”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 走体育西路，不对，走体育西道; clean: 走体育西道"}, {"id": "q004", "category": "content", "question": "output中是否存在“在大街这边掉头”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 在大街这边掉头哈; oral: 在大街...在大街这边掉头再掉头哈"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，就是往山顶走，嗯，在大街...在大街这边，再掉头; clean: 无"}]}
{"status": "success", "index": 735, "source_record_id": "assigned_records.jsonl:17803", "source_line": 733, "audio": "audio/navigation__assigned_recordsjsonl17803.wav", "scene": "navigation", "language": "zh", "oral": "诶，对了，周边周边有什么好吃的嘛？走这条小路走这条小路能飞过去春熙路吗？嗯，员村那边有自行车道没？", "clean": "周边有什么好吃的吗？走这条小路能到春熙路吗？员村那边有自行车道没？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，对了，周边周边...走这条小路走这条小路...嗯，"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“能飞过去春熙路”处理成了“能到春熙路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 能飞过去春熙路吗？ clean: 能到春熙路吗？"}, {"id": "q003", "category": "content", "question": "output中是否存在“周边有什么好吃的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 周边有什么好吃的吗？"}, {"id": "q004", "category": "content", "question": "output中是否存在“员村那边有自行车道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 员村那边有自行车道没？"}]}
{"status": "success", "index": 733, "source_record_id": "assigned_records.jsonl:17733", "source_line": 731, "audio": "audio/navigation__assigned_recordsjsonl17733.wav", "scene": "navigation", "language": "zh", "oral": "先是坐火车到站，然后沿着人行道走，诶我想用打车软件叫车结果信号不好，感觉像在南锣鼓巷那样绕圈，最后绕到内环线那边才找着，一共走了大概两千三百步，快下午三点半了才到这栋楼，就是没找着科室。", "clean": "先是坐火车到站，然后沿着人行道走，我想用打车软件叫车结果信号不好，感觉像在南锣鼓巷那样绕圈，最后绕到内环线那边才找着，一共走了大概2300步，快15:30了才到这栋楼，没找着科室。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“坐火车到站”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "先是坐火车到站"}, {"id": "q002", "category": "content", "question": "output中是否存在“沿着人行道走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "然后沿着人行道走"}, {"id": "q003", "category": "content", "question": "output中是否存在“打车软件叫车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "我想用打车软件叫车"}, {"id": "q004", "category": "content", "question": "output中是否存在“信号不好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "结果信号不好"}, {"id": "q005", "category": "content", "question": "output中是否存在“南锣鼓巷”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "感觉像在南锣鼓巷那样绕圈"}, {"id": "q006", "category": "content", "question": "output中是否存在“绕圈”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "那样绕圈"}, {"id": "q007", "category": "content", "question": "output中是否存在“内环线”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最后绕到内环线那边才找着"}, {"id": "q008", "category": "content", "question": "output中是否存在“找着”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "才找着"}, {"id": "q009", "category": "content", "question": "output中是否存在“这栋楼”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "才到这栋楼"}, {"id": "q010", "category": "content", "question": "output中是否存在“没找着科室”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "就是没找着科室"}, {"id": "q011", "category": "format", "question": "output中是否将“两千三百步”写成了“2300步”？", "options": [{"text": "写成了“2300步”", "score": 1}, {"text": "没有写成“2300步”但存在“两千三百步”", "score": 0}, {"text": "不存在“2300步”也不存在“两千三百步”", "score": -1}], "evidence": "一共走了大概两千三百步 -> 一共走了大概2300步"}, {"id": "q012", "category": "format", "question": "output中是否将“下午三点半”写成了“15:30”？", "options": [{"text": "写成了“15:30”", "score": 1}, {"text": "没有写成“15:30”但存在“下午三点半”", "score": 0}, {"text": "不存在“15:30”也不存在“下午三点半”", "score": -1}], "evidence": "快下午三点半了 -> 快15:30了"}, {"id": "q013", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶我想用打车软件叫车...就是没找着科室"}]}
{"status": "success", "index": 734, "source_record_id": "assigned_records.jsonl:17449", "source_line": 726, "audio": "audio/navigation__assigned_recordsjsonl17449.wav", "scene": "navigation", "language": "zh", "oral": "师傅，去寰宇大到，呃，我也不太确定，但是感觉走滎阳那边快点，对，过个环球路，别走建国门外大街，再，啊不，走崟山那条路，到吧。", "clean": "师傅，去寰宇大道，我也不太确定，但是感觉走荥阳那边快点，对，过个环球路，别走建国门外大街，走玉山那条路到吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“寰宇大道”（或同音词如“寰宇大到”）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 去寰宇大道 / oral: 去寰宇大到"}, {"id": "q002", "category": "content", "question": "output中是否保留了“荥阳”（或同音/繁体词如“滎阳”）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 走荥阳那边 / oral: 走滎阳那边"}, {"id": "q003", "category": "content", "question": "output中是否保留了“环球路”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 过个环球路 / oral: 过个环球路"}, {"id": "q004", "category": "content", "question": "output中是否保留了“建国门外大街”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 别走建国门外大街 / oral: 别走建国门外大街"}, {"id": "q005", "category": "content", "question": "output中是否保留了“玉山”（或同音词如“崟山”）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 走玉山那条路 / oral: 走崟山那条路"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 呃 / 再，啊不"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“再，啊不，走崟山那条路”处理成了“走玉山那条路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 再，啊不，走崟山那条路 / clean: 走玉山那条路"}]}
{"status": "success", "index": 738, "source_record_id": "assigned_records.jsonl:17912", "source_line": 739, "audio": "audio/navigation__assigned_recordsjsonl17912.wav", "scene": "navigation", "language": "zh", "oral": "诶，先走海淀路，然后骑蓝单车钻支路，怎么说呢，最后走北三环再到郊区吧，开私家车得堵死呀。", "clean": "先走海淀路，然后骑蓝单车钻支路，最后走北三环再到郊区吧，开私家车得堵死呀。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“先走海淀路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "先走海淀路"}, {"id": "q002", "category": "content", "question": "output中是否存在“骑蓝单车钻支路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "骑蓝单车钻支路"}, {"id": "q003", "category": "content", "question": "output中是否存在“最后走北三环再到郊区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "最后走北三环再到郊区"}, {"id": "q004", "category": "content", "question": "output中是否存在“开私家车得堵死”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "开私家车得堵死"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，怎么说呢"}]}
{"status": "success", "index": 740, "source_record_id": "assigned_records.jsonl:17849", "source_line": 736, "audio": "audio/navigation__assigned_recordsjsonl17849.wav", "scene": "navigation", "language": "zh", "oral": "诶，对了，你到解放碑路，解放碑路往东偏北走，嗯，过了密云路，密云路这边有个分隔带，就是得绕开人力车吧。", "clean": "你到解放碑路往东偏北走，过了密云路，密云路这边有个分隔带，得绕开人力车吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶，对了， / 解放碑路，解放碑路 / 嗯， / 就是"}, {"id": "q002", "category": "content", "question": "output中是否存在“你到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "你到"}, {"id": "q003", "category": "content", "question": "output中是否存在“解放碑路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "解放碑路"}, {"id": "q004", "category": "content", "question": "output中是否存在“往东偏北走”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "往东偏北走"}, {"id": "q005", "category": "content", "question": "output中是否存在“过了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "过了"}, {"id": "q006", "category": "content", "question": "output中是否存在“密云路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "密云路"}, {"id": "q007", "category": "content", "question": "output中是否存在“分隔带”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "分隔带"}, {"id": "q008", "category": "content", "question": "output中是否存在“人力车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "人力车"}]}
{"status": "success", "index": 739, "source_record_id": "assigned_records.jsonl:17926", "source_line": 741, "audio": "audio/navigation__assigned_recordsjsonl17926.wav", "scene": "navigation", "language": "zh", "oral": "不是在江汉路，诶，是在友谊大街封闭路后面。", "clean": "是在友谊大街封闭路后面。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“友谊大街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是在友谊大街封闭路后面。"}, {"id": "q002", "category": "content", "question": "output中是否存在“封闭路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是在友谊大街封闭路后面。"}, {"id": "q003", "category": "content", "question": "output中是否存在“后面”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 是在友谊大街封闭路后面。"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不是在江汉路，诶，是在友谊大街封闭路后面。"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“不是在江汉路，诶，是在友谊大街封闭路后面”处理成了“是在友谊大街封闭路后面”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 不是在江汉路，诶，是在友谊大街封闭路后面。 clean: 是在友谊大街封闭路后面。"}]}
{"status": "success", "index": 741, "source_record_id": "assigned_records.jsonl:17917", "source_line": 740, "audio": "audio/navigation__assigned_recordsjsonl17917.wav", "scene": "navigation", "language": "zh", "oral": "哦对了，你走通州路，走通州路，在下一个路口转弯，转弯去经纬路，不对，是滨江路，你…那边…要是走滨江路，滨江路就没那么堵。", "clean": "你走通州路，在下一个路口转弯去滨江路，走滨江路就没那么堵。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“通州路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你走通州路; oral: 你走通州路，走通州路"}, {"id": "q002", "category": "content", "question": "output中是否保留了“下一个路口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 在下一个路口转弯; oral: 在下一个路口转弯"}, {"id": "q003", "category": "content", "question": "output中是否保留了“没那么堵”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 就没那么堵; oral: 就没那么堵"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“经纬路，不对，是滨江路”处理成了“滨江路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 去滨江路; oral: 去经纬路，不对，是滨江路"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦对了; 走通州路，走通州路; 你…那边…要是"}]}
{"status": "success", "index": 743, "source_record_id": "assigned_records.jsonl:17857", "source_line": 737, "audio": "audio/navigation__assigned_recordsjsonl17857.wav", "scene": "navigation", "language": "zh", "oral": "老王，诶，你得走这条路，一直往前走一直往前走，到环岛路拐弯，记得记得打车到陵园苑，别走主路，走立交桥那边快，怎么说呢，大概能省十五分钟吧，只要在在立交桥右转就到了哈。", "clean": "老王，你得走这条路，一直往前走，到环岛路拐弯，记得打车到陵园苑，别走主路，走立交桥那边快，大概能省15分钟吧，只要在立交桥右转就到了哈。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "诶, 一直往前走一直往前走, 记得记得, 怎么说呢, 在在"}, {"id": "q002", "category": "format", "question": "output中是否将“十五分钟”规范化成了“15分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“十五分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "十五分钟 -> 15分钟"}, {"id": "q003", "category": "content", "question": "output中是否存在“环岛路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "环岛路"}, {"id": "q004", "category": "content", "question": "output中是否存在“陵园苑”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "陵园苑"}, {"id": "q005", "category": "content", "question": "output中是否存在“立交桥”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "立交桥"}]}
{"status": "success", "index": 742, "source_record_id": "assigned_records.jsonl:17976", "source_line": 742, "audio": "audio/navigation__assigned_recordsjsonl17976.wav", "scene": "navigation", "language": "zh", "oral": "师傅，去橘子洲，走解放碑那条路，不对，是走底道走到底，再走一条近路快点，你觉得行不？", "clean": "师傅，去橘子洲，走底道走到底，再走一条近路快点，你觉得行不？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“师傅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 师傅"}, {"id": "q002", "category": "content", "question": "output中是否存在“去橘子洲”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 去橘子洲"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“走解放碑那条路，不对，是走底道走到底”处理成了“走底道走到底”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 走解放碑那条路，不对，是走底道走到底; clean: 走底道走到底"}, {"id": "q004", "category": "content", "question": "output中是否存在“再走一条近路快点，你觉得行不”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再走一条近路快点，你觉得行不？"}]}
{"status": "success", "index": 744, "source_record_id": "assigned_records.jsonl:17816", "source_line": 735, "audio": "audio/navigation__assigned_recordsjsonl17816.wav", "scene": "navigation", "language": "zh", "oral": "你好，我想问问登机口怎么走，往东北方向走，往东北方向走能到吗，还是得走那条道，走那条道，我想想，我们要去体育西路，哦不是，是去机场北区，如果走那边的话，得乘公交，啊不，是得坐接驳车，怎么说，得坐摆渡车才能到吧？", "clean": "你好，我想问问登机口怎么走，往东北方向走能到吗，还是得走那条道？我们要去机场北区，如果走那边的话，得坐摆渡车才能到吧？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“登机口”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我想问问登机口怎么走"}, {"id": "q002", "category": "content", "question": "output中是否存在“东北方向”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 往东北方向走能到吗"}, {"id": "q003", "category": "content", "question": "output中是否存在“那条道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 还是得走那条道"}, {"id": "q004", "category": "content", "question": "output中是否存在“能到吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 往东北方向走能到吗"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“我们要去体育西路，哦不是，是去机场北区”处理成了“我们要去机场北区”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 我们要去体育西路，哦不是，是去机场北区; clean: 我们要去机场北区"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“得乘公交，啊不，是得坐接驳车，怎么说，得坐摆渡车”处理成了“得坐摆渡车”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 得乘公交，啊不，是得坐接驳车，怎么说，得坐摆渡车; clean: 得坐摆渡车"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 往东北方向走，往东北方向走; 我想想; 哦不是; 啊不; 怎么说"}]}
{"status": "success", "index": 746, "source_record_id": "assigned_records.jsonl:18108", "source_line": 747, "audio": "audio/navigation__assigned_recordsjsonl18108.wav", "scene": "navigation", "language": "zh", "oral": "诶，我车在体育西路，就就就是，我想想啊，在那个高新园那边，你接单过来吧。", "clean": "我车在体育西路，在高新园那边，你接单过来吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“我车在体育西路”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 我车在体育西路"}, {"id": "q002", "category": "content", "question": "output中是否保留了“高新园”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 在高新园那边"}, {"id": "q003", "category": "content", "question": "output中是否保留了“你接单过来吧”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 你接单过来吧"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，就就就是，我想想啊"}]}
{"status": "success", "index": 747, "source_record_id": "assigned_records.jsonl:18098", "source_line": 746, "audio": "audio/navigation__assigned_recordsjsonl18098.wav", "scene": "navigation", "language": "zh", "oral": "诶，重庆北往南偏西，往南偏西走，在辅路，啊不对，龙冬大道辅路，就是中关村那边，哈，你觉得能到吗？", "clean": "重庆北往南偏西走，在龙冬大道辅路，中关村那边，你觉得能到吗？", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“重庆北”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 重庆北往南偏西走"}, {"id": "q002", "category": "content", "question": "output中是否存在“南偏西”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 往南偏西走"}, {"id": "q003", "category": "content", "question": "output中是否存在“能到吗”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 你觉得能到吗？"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“辅路，啊不对，龙冬大道辅路”处理成了“龙冬大道辅路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 在辅路，啊不对，龙冬大道辅路 / clean: 在龙冬大道辅路"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“就是中关村那边”处理成了“中关村那边”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 就是中关村那边 / clean: 中关村那边"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶，啊不对，哈，往南偏西，往南偏西 / clean: 无"}]}
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{"status": "success", "index": 749, "source_record_id": "assigned_records.jsonl:18113", "source_line": 748, "audio": "audio/navigation__assigned_recordsjsonl18113.wav", "scene": "navigation", "language": "zh", "oral": "诶，太离谱了，我从黄埔大道走，黄埔大道走过来，就是经过南滨路，啊不对，是单行道，怎么说呢，还得搭轮渡到南滨路，走到冬门那边吧。", "clean": "太离谱了，我从黄埔大道走过来，经过单行道，还得搭轮渡到南滨路，走到东门那边吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"诶...走，黄埔大道走...啊不对...怎么说呢...\" / clean: 无口语词和重复"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“经过南滨路，啊不对，是单行道”处理成了“经过单行道”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"就是经过南滨路，啊不对，是单行道\" / clean: \"经过单行道\""}, {"id": "q003", "category": "content", "question": "output中是否存在“太离谱了”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"太离谱了\""}, {"id": "q004", "category": "content", "question": "output中是否存在“黄埔大道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"黄埔大道\""}, {"id": "q005", "category": "content", "question": "output中是否存在“搭轮渡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"搭轮渡\""}, {"id": "q006", "category": "content", "question": "output中是否存在“南滨路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"南滨路\""}, {"id": "q007", "category": "content", "question": "output中是否存在“东门”或“冬门”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"东门\" / oral: \"冬门\""}]}
{"status": "success", "index": 750, "source_record_id": "assigned_records.jsonl:18123", "source_line": 749, "audio": "audio/navigation__assigned_recordsjsonl18123.wav", "scene": "navigation", "language": "zh", "oral": "先是公交道五一广场，然后走体育西路，诶，再走成雅高速，最后得在体育西路找那栋楼，我想想啊，得是三号楼吧。", "clean": "先是公交到五一广场，然后走体育西路，再走成雅高速，最后在体育西路找3号楼。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“公交到五一广场”（或同音的“公交道五一广场”）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 先是公交到五一广场 / oral: 先是公交道五一广场"}, {"id": "q002", "category": "content", "question": "output中是否保留了“体育西路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 然后走体育西路 / oral: 然后走体育西路"}, {"id": "q003", "category": "content", "question": "output中是否保留了“成雅高速”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再走成雅高速 / oral: 再走成雅高速"}, {"id": "q004", "category": "format", "question": "output中是否将“三号楼”规范化成了“3号楼”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“三号楼”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 找3号楼 / oral: 得是三号楼吧"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶 / clean: 无"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“最后得在体育西路找那栋楼，我想想啊，得是三号楼吧”处理成了“最后在体育西路找3号楼”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: 最后在体育西路找3号楼 / oral: 最后得在体育西路找那栋楼，我想想啊，得是三号楼吧"}]}
{"status": "success", "index": 753, "source_record_id": "assigned_records.jsonl:18142", "source_line": 751, "audio": "audio/navigation__assigned_recordsjsonl18142.wav", "scene": "navigation", "language": "zh", "oral": "嗯，我刚从西安南站过来，就在陵园路这边，我想想啊，这附近…怎么说呢，有什么好吃的餐厅吧？就那种在观音桥附近得口味好的呀。", "clean": "我刚从西安南站过来，就在陵园路这边，这附近有什么好吃的餐厅吧？就那种在观音桥附近口味好的。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“西安南站”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 我刚从西安南站过来; clean: 我刚从西安南站过来"}, {"id": "q002", "category": "content", "question": "output中是否存在“陵园路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 就在陵园路这边; clean: 就在陵园路这边"}, {"id": "q003", "category": "content", "question": "output中是否存在“好吃的餐厅”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 有什么好吃的餐厅吧; clean: 有什么好吃的餐厅吧"}, {"id": "q004", "category": "content", "question": "output中是否存在“观音桥”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 就那种在观音桥附近; clean: 就那种在观音桥附近"}, {"id": "q005", "category": "content", "question": "output中是否存在“口味好”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 得口味好的呀; clean: 口味好的"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 嗯...我想想啊...怎么说呢...呀; clean: 删除了这些口语词和语气词"}]}
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{"status": "success", "index": 754, "source_record_id": "assigned_records.jsonl:18308", "source_line": 755, "audio": "audio/navigation__assigned_recordsjsonl18308.wav", "scene": "navigation", "language": "zh", "oral": "他说体育西路右转一百米到，诶，我看南锣鼓巷那边得徒步走长安大街才行吧。", "clean": "他说体育西路右转100米到，我看南锣鼓巷那边得徒步走长安大街才行吧。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“体育西路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 体育西路"}, {"id": "q002", "category": "content", "question": "output中是否存在“右转”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 右转"}, {"id": "q003", "category": "format", "question": "output中是否将“一百米”规范化成了“100米”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“一百米”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 一百米, clean: 100米"}, {"id": "q004", "category": "content", "question": "output中是否存在“南锣鼓巷”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 南锣鼓巷"}, {"id": "q005", "category": "content", "question": "output中是否存在“徒步”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 徒步"}, {"id": "q006", "category": "content", "question": "output中是否存在“长安大街”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 长安大街"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 诶"}]}
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{"status": "success", "index": 757, "source_record_id": "assigned_records.jsonl:18204", "source_line": 753, "audio": "audio/navigation__assigned_recordsjsonl18204.wav", "scene": "navigation", "language": "zh", "oral": "他说在东四那个出口，不对，不是，哎呀那个河西大到...对了，我这车停在武侯祠那边，您帮我看看是不是在观音桥路那块儿，我得赶紧叫辆车走，我都找了二十分钟了，在那新园子里找不到", "clean": "我这车停在武侯祠那边，您帮我看看是不是在观音桥路那块儿，我得赶紧叫辆车走，我都找了20分钟了，在那新园子里找不到", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“武侯祠”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我这车停在武侯祠那边"}, {"id": "q002", "category": "content", "question": "output中是否存在“观音桥路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 您帮我看看是不是在观音桥路那块儿"}, {"id": "q003", "category": "content", "question": "output中是否存在“新园子”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 在那新园子里找不到"}, {"id": "q004", "category": "format", "question": "output中是否将“二十分钟”规范化成了“20分钟”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“二十分钟”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 二十分钟, clean: 20分钟"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不对，不是，哎呀"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“东四那个出口，不对，不是，哎呀那个河西大到...对了”处理成了删除这些被否定和重新表述的过程？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 他说在东四那个出口，不对，不是，哎呀那个河西大到...对了"}]}
{"status": "success", "index": 756, "source_record_id": "assigned_records.jsonl:18599", "source_line": 757, "audio": "audio/passthrough__assigned_recordsjsonl18599.wav", "scene": "passthrough", "language": "en", "oral": "Play the latest album by Taylor Swift on Spotify.", "clean": "Play the latest album by Taylor Swift on Spotify.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Play the latest album”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Play the latest album"}, {"id": "q002", "category": "format", "question": "output中是否将“taylor swift”规范化成了“Taylor Swift”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“taylor swift”", "score": 0}, {"text": "不存在该词或首字母未大写", "score": -1}], "evidence": "clean: Taylor Swift"}, {"id": "q003", "category": "format", "question": "output中是否将“spotify”规范化成了“Spotify”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“spotify”", "score": 0}, {"text": "不存在该词或首字母未大写", "score": -1}], "evidence": "clean: Spotify"}, {"id": "q004", "category": "content", "question": "output中是否存在“by”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: by"}, {"id": "q005", "category": "content", "question": "output中是否存在“on”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: on"}]}
{"status": "success", "index": 758, "source_record_id": "assigned_records.jsonl:18336", "source_line": 756, "audio": "audio/navigation__assigned_recordsjsonl18336.wav", "scene": "navigation", "language": "zh", "oral": "老王，环湖路那边...堵得死死，往往往回走吧，走高新园那边，比体育西路快，东单那边...也堵，快四点啦。", "clean": "老王，环湖路那边堵得死死的，往回走吧，走高新园那边，比体育西路快，东单那边也堵，快16:00了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“体育西路”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 比体育西路快"}, {"id": "q002", "category": "content", "question": "output中是否存在“东单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 东单那边也堵"}, {"id": "q003", "category": "content", "question": "output中是否存在“堵得死死的”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 堵得死死的"}, {"id": "q004", "category": "format", "question": "output中是否将“快四点啦”规范化成了“快16:00了”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“快四点啦”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: 快四点啦, clean: 快16:00了"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 往往往回走吧, 东单那边...也堵"}]}
{"status": "success", "index": 759, "source_record_id": "assigned_records.jsonl:18605", "source_line": 758, "audio": "audio/passthrough__assigned_recordsjsonl18605.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the project timeline in the shared spreadsheet and notify the stakeholders by 5:00pm today?", "clean": "Could you please update the project timeline in the shared spreadsheet and notify the stakeholders by 5:00pm today?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“update the project timeline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "update the project timeline"}, {"id": "q002", "category": "content", "question": "output中是否存在“shared spreadsheet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "shared spreadsheet"}, {"id": "q003", "category": "content", "question": "output中是否存在“notify the stakeholders”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "notify the stakeholders"}, {"id": "q004", "category": "format", "question": "output中是否将时间规范化成了“5:00pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“5:00pm”或类似表达", "score": 0}, {"text": "不存在该时间表达或规范化错误", "score": -1}], "evidence": "5:00pm"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Could you please update the project timeline in the shared spreadsheet and notify the stakeholders by 5:00pm today?"}]}
{"status": "success", "index": 762, "source_record_id": "assigned_records.jsonl:18608", "source_line": 759, "audio": "audio/passthrough__assigned_recordsjsonl18608.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the deployment script to use the latest Docker image and set the memory limit to 4GB?", "clean": "Could you please update the deployment script to use the latest Docker image and set the memory limit to 4GB?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“update the deployment script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: update the deployment script"}, {"id": "q002", "category": "content", "question": "output中是否存在“use the latest Docker image”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: use the latest Docker image"}, {"id": "q003", "category": "content", "question": "output中是否存在“set the memory limit to 4GB”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: set the memory limit to 4GB"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Could you please update the deployment script to use the latest Docker image and set the memory limit to 4GB?"}]}
{"status": "success", "index": 763, "source_record_id": "assigned_records.jsonl:18614", "source_line": 761, "audio": "audio/passthrough__assigned_recordsjsonl18614.wav", "scene": "passthrough", "language": "en", "oral": "I'm thinking of grabbing some tacos for dinner around 7pm. Do you want to join me, or are you too busy?", "clean": "I'm thinking of grabbing some tacos for dinner around 7pm. Do you want to join me, or are you too busy?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“grabbing some tacos for dinner”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "grabbing some tacos for dinner"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Do you want to join me”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Do you want to join me"}, {"id": "q003", "category": "content", "question": "output中是否保留了“or are you too busy”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "or are you too busy"}, {"id": "q004", "category": "format", "question": "output中是否保留了“7pm”？", "options": [{"text": "保留了目标规范化结果", "score": 1}, {"text": "仍保留原始说法但没规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "7pm"}]}
{"status": "success", "index": 761, "source_record_id": "assigned_records.jsonl:18613", "source_line": 760, "audio": "audio/passthrough__assigned_recordsjsonl18613.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the Jira ticket for the authentication bug and link it to the latest pull request?", "clean": "Could you please update the Jira ticket for the authentication bug and link it to the latest pull request?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Jira”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“jira”", "score": 0}, {"text": "不存在该词或首字母未大写", "score": -1}], "evidence": "Jira"}, {"id": "q002", "category": "content", "question": "output中是否存在“update the ticket”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "update the ticket"}, {"id": "q003", "category": "content", "question": "output中是否存在“authentication bug”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "authentication bug"}, {"id": "q004", "category": "content", "question": "output中是否存在“latest pull request”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "latest pull request"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Could you please update the Jira ticket for the authentication bug and link it to the latest pull request?"}, {"id": "q006", "category": "rephrase", "question": "output中是否去除了oral中的自我修正或解释性语句并保留了最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Could you please update the Jira ticket for the authentication bug and link it to the latest pull request?"}]}
{"status": "success", "index": 760, "source_record_id": "assigned_records.jsonl:18156", "source_line": 752, "audio": "audio/navigation__assigned_recordsjsonl18156.wav", "scene": "navigation", "language": "zh", "oral": "你刚才说往东走五百米能快，我觉得往东走五百米不行，那边现在是封闭路，封闭路得绕好远。我看地图说坐客车，哦不是，乘轻轨最稳当，乘轻轨直接能到郊区，或者咱们走快捷通道，走快捷通道避开市区堵车，比坐客车快多了，你快看一眼现在几点，是不是得赶紧出发了。", "clean": "你刚才说往东走500米能快，我觉得往东走500米不行，那边现在是封闭路，封闭路得绕好远。我看地图说乘轻轨最稳当，乘轻轨直接能到郊区，或者咱们走快捷通道，走快捷通道避开市区堵车，比坐客车快多了，你快看一眼现在几点，是不是得赶紧出发了。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“五百米”规范化成了“500米”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“五百米”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 五百米; clean: 500米"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“坐客车，哦不是，乘轻轨”处理成了“乘轻轨”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 坐客车，哦不是，乘轻轨; clean: 乘轻轨"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 哦不是, 封闭路，封闭路; clean: 封闭路，封闭路"}, {"id": "q004", "category": "content", "question": "output中是否存在“郊区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 直接能到郊区"}, {"id": "q005", "category": "content", "question": "output中是否存在“快捷通道”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 走快捷通道"}, {"id": "q006", "category": "content", "question": "output中是否存在“避开市区堵车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 避开市区堵车"}, {"id": "q007", "category": "content", "question": "output中是否存在“现在几点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 现在几点"}]}
{"status": "success", "index": 764, "source_record_id": "assigned_records.jsonl:18616", "source_line": 762, "audio": "audio/passthrough__assigned_recordsjsonl18616.wav", "scene": "passthrough", "language": "en", "oral": "Set a reminder for tomorrow at 10am to call the insurance company regarding the claim for the water damage.", "clean": "Set a reminder for tomorrow at 10am to call the insurance company regarding the claim for the water damage.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Set a reminder”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Set a reminder"}, {"id": "q002", "category": "format", "question": "output中是否将时间表示为了“10am”？", "options": [{"text": "保留了“10am”或“10:00 AM”等合理格式", "score": 1}, {"text": "保留了“ten am”等未进行数字规范化的说法", "score": 0}, {"text": "缺失或格式错误", "score": -1}], "evidence": "oral: 10am, clean: 10am"}, {"id": "q003", "category": "content", "question": "output中是否存在“insurance company”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: insurance company"}, {"id": "q004", "category": "content", "question": "output中是否存在“claim”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: claim"}, {"id": "q005", "category": "content", "question": "output中是否存在“water damage”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: water damage"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Set a reminder for tomorrow at 10am to call the insurance company regarding the claim for the water damage."}]}
{"status": "success", "index": 765, "source_record_id": "assigned_records.jsonl:18625", "source_line": 763, "audio": "audio/passthrough__assigned_recordsjsonl18625.wav", "scene": "passthrough", "language": "en", "oral": "The quarterly growth rate increased by 12% compared to the last fiscal year, primarily driven by our expansion into the Southeast Asian market.", "clean": "The quarterly growth rate increased by 12% compared to the last fiscal year, primarily driven by our expansion into the Southeast Asian market.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“quarterly growth rate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "quarterly growth rate"}, {"id": "q002", "category": "format", "question": "output中是否将数字和符号规范化成了“12%”？", "options": [{"text": "保留了“12%”", "score": 1}, {"text": "保留了原始说法如“twelve percent”但没有“12%”", "score": 0}, {"text": "不存在“12%”或写成了其他错误格式", "score": -1}], "evidence": "12%"}, {"id": "q003", "category": "format", "question": "output中是否将专有名词规范化成了“Southeast Asian”？", "options": [{"text": "保留了“Southeast Asian”", "score": 1}, {"text": "保留了原始说法如“southeast asian”但没有大写", "score": 0}, {"text": "不存在“Southeast Asian”或大小写错误", "score": -1}], "evidence": "Southeast Asian"}, {"id": "q004", "category": "content", "question": "output中是否存在“last fiscal year”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "last fiscal year"}, {"id": "q005", "category": "content", "question": "output中是否存在“expansion”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "expansion"}, {"id": "q006", "category": "content", "question": "output中是否存在“compared to”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "compared to"}, {"id": "q007", "category": "content", "question": "output中是否存在“primarily driven by”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "primarily driven by"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "The quarterly growth rate increased by 12% compared to the last fiscal year, primarily driven by our expansion into the Southeast Asian market."}]}
{"status": "success", "index": 766, "source_record_id": "assigned_records.jsonl:18630", "source_line": 764, "audio": "audio/passthrough__assigned_recordsjsonl18630.wav", "scene": "passthrough", "language": "en", "oral": "Play some lo-fi hip hop on Spotify and dim the living room lights to 30%.", "clean": "Play some lo-fi hip hop on Spotify and dim the living room lights to 30%.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“lo-fi hip hop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "lo-fi hip hop"}, {"id": "q002", "category": "content", "question": "output中是否存在“dim the living room lights”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "dim the living room lights"}, {"id": "q003", "category": "format", "question": "output中是否将“spotify”规范化成了“Spotify”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“spotify”或“Spotify”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Spotify"}, {"id": "q004", "category": "format", "question": "output中是否将“thirty percent”规范化成了“30%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“30%”或“thirty percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "30%"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Play some lo-fi hip hop on Spotify and dim the living room lights to 30%."}]}
{"status": "success", "index": 767, "source_record_id": "assigned_records.jsonl:18637", "source_line": 766, "audio": "audio/passthrough__assigned_recordsjsonl18637.wav", "scene": "passthrough", "language": "en", "oral": "Set a timer for 15 minutes and dim the living room lights to 30%.", "clean": "Set a timer for 15 minutes and dim the living room lights to 30%.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“set a timer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Set a timer"}, {"id": "q002", "category": "content", "question": "output中是否存在“dim the living room lights”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "dim the living room lights"}, {"id": "q003", "category": "format", "question": "output中是否保留了“15”？", "options": [{"text": "保留了“15”", "score": 1}, {"text": "保留了“fifteen”等未规范化形式", "score": 0}, {"text": "未保留“15”或规范化错误", "score": -1}], "evidence": "15"}, {"id": "q004", "category": "format", "question": "output中是否保留了“30%”？", "options": [{"text": "保留了“30%”", "score": 1}, {"text": "保留了“thirty percent”等未规范化形式", "score": 0}, {"text": "未保留“30%”或规范化错误", "score": -1}], "evidence": "30%"}]}
{"status": "success", "index": 768, "source_record_id": "assigned_records.jsonl:18638", "source_line": 767, "audio": "audio/passthrough__assigned_recordsjsonl18638.wav", "scene": "passthrough", "language": "en", "oral": "I'm feeling a bit overwhelmed with work lately, I think I need a short vacation this weekend to recharge.", "clean": "I'm feeling a bit overwhelmed with work lately, I think I need a short vacation this weekend to recharge.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“feeling a bit overwhelmed with work”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "feeling a bit overwhelmed with work"}, {"id": "q002", "category": "content", "question": "output中是否保留了“need a short vacation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "need a short vacation"}, {"id": "q003", "category": "content", "question": "output中是否保留了“this weekend to recharge”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "this weekend to recharge"}]}
{"status": "success", "index": 769, "source_record_id": "assigned_records.jsonl:18635", "source_line": 765, "audio": "audio/passthrough__assigned_recordsjsonl18635.wav", "scene": "passthrough", "language": "en", "oral": "My order number is 88492017, and I'd like to check if the shipping status has been updated to 'delivered'.", "clean": "My order number is 88492017, and I'd like to check if the shipping status has been updated to 'delivered'.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“order number”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "order number"}, {"id": "q002", "category": "content", "question": "output中是否存在“88492017”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "88492017"}, {"id": "q003", "category": "content", "question": "output中是否存在“I'd like to check”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I'd like to check"}, {"id": "q004", "category": "content", "question": "output中是否存在“shipping status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "shipping status"}, {"id": "q005", "category": "content", "question": "output中是否存在“updated to 'delivered'”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "updated to 'delivered'"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、犹豫词、重复词、插入语"}]}
{"status": "success", "index": 770, "source_record_id": "assigned_records.jsonl:18639", "source_line": 768, "audio": "audio/passthrough__assigned_recordsjsonl18639.wav", "scene": "passthrough", "language": "en", "oral": "The current latency in the production environment is spiking to 500ms, we need to check the Redis cache hit rate immediately.", "clean": "The current latency in the production environment is spiking to 500ms, we need to check the Redis cache hit rate immediately.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“latency in the production environment”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "latency in the production environment"}, {"id": "q002", "category": "content", "question": "output中是否保留了“spiking”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "spiking"}, {"id": "q003", "category": "format", "question": "output中是否保留了“500ms”？", "options": [{"text": "保留了“500ms”", "score": 1}, {"text": "保留了“five hundred milliseconds”等未规范化的说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "500ms"}, {"id": "q004", "category": "format", "question": "output中是否将“Redis”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化（如“Redis”）", "score": 1}, {"text": "没有进行规范化但存在“redis”等", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Redis"}, {"id": "q005", "category": "content", "question": "output中是否保留了“cache hit rate”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "cache hit rate"}, {"id": "q006", "category": "content", "question": "output中是否保留了“immediately”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "immediately"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "The current latency in the production environment is spiking to 500ms, we need to check the Redis cache hit rate immediately."}]}
{"status": "success", "index": 771, "source_record_id": "assigned_records.jsonl:18641", "source_line": 769, "audio": "audio/passthrough__assigned_recordsjsonl18641.wav", "scene": "passthrough", "language": "en", "oral": "I'll be about 15 minutes late because of the traffic on I-95, just start the meeting without me.", "clean": "I'll be about 15 minutes late because of the traffic on I-95, just start the meeting without me.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“minutes late”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: minutes late"}, {"id": "q002", "category": "content", "question": "output中是否存在“traffic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: traffic"}, {"id": "q003", "category": "content", "question": "output中是否存在“start the meeting”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: start the meeting"}, {"id": "q004", "category": "content", "question": "output中是否存在“without me”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: without me"}, {"id": "q005", "category": "format", "question": "output中是否将“15”规范化成了“15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“15”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 15"}, {"id": "q006", "category": "format", "question": "output中是否将“I-95”规范化成了“I-95”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“I-95”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: I-95"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I'll be about 15 minutes late because of the traffic on I-95, just start the meeting without me."}]}
{"status": "success", "index": 772, "source_record_id": "assigned_records.jsonl:18647", "source_line": 770, "audio": "audio/passthrough__assigned_recordsjsonl18647.wav", "scene": "passthrough", "language": "en", "oral": "Could you please check the status of order 8829104? It was supposed to arrive two days ago.", "clean": "Could you please check the status of order 8829104? It was supposed to arrive two days ago.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“check the status of order 8829104”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "check the status of order 8829104"}, {"id": "q002", "category": "content", "question": "output中是否保留了“supposed to arrive two days ago”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "supposed to arrive two days ago"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Could you please check the status of order 8829104? It was supposed to arrive two days ago."}]}
{"status": "success", "index": 773, "source_record_id": "assigned_records.jsonl:18650", "source_line": 772, "audio": "audio/passthrough__assigned_recordsjsonl18650.wav", "scene": "passthrough", "language": "en", "oral": "Please update the production environment to version 2.4.1 and restart the Nginx service.", "clean": "Please update the production environment to version 2.4.1 and restart the Nginx service.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“production environment”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "production environment"}, {"id": "q002", "category": "format", "question": "output中是否将版本号规范化成了“2.4.1”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2.4.1”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "2.4.1"}, {"id": "q003", "category": "format", "question": "output中是否保留了首字母大写的专有名词“Nginx”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Nginx”或“nginx”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Nginx"}, {"id": "q004", "category": "content", "question": "output中是否保留了“restart”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "restart"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 775, "source_record_id": "assigned_records.jsonl:18652", "source_line": 774, "audio": "audio/passthrough__assigned_recordsjsonl18652.wav", "scene": "passthrough", "language": "en", "oral": "The attention mechanism in the Transformer architecture allows the model to focus on different parts of the input sequence.", "clean": "The attention mechanism in the Transformer architecture allows the model to focus on different parts of the input sequence.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“attention mechanism”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反（-1）"], "evidence": "attention mechanism"}, {"id": "q002", "category": "format", "question": "output中是否将“transformer”首字母大写成了“Transformer”？", "options": ["进行了相同处理(1)", "没有首字母大写但存在“transformer”(0)", "不存在该词(-1)"], "evidence": "Transformer"}, {"id": "q003", "category": "content", "question": "output中是否存在“in the architecture”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反（-1）"], "evidence": "in the architecture"}, {"id": "q004", "category": "content", "question": "output中是否存在“allows the model to”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反（-1）"], "evidence": "allows the model to"}, {"id": "q005", "category": "content", "question": "output中是否存在“focus on different parts”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反（-1）"], "evidence": "focus on different parts"}, {"id": "q006", "category": "content", "question": "output中是否存在“input sequence”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反（-1）"], "evidence": "input sequence"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "The attention mechanism in the Transformer architecture allows the model to focus on different parts of the input sequence."}]}
{"status": "success", "index": 774, "source_record_id": "assigned_records.jsonl:18648", "source_line": 771, "audio": "audio/passthrough__assigned_recordsjsonl18648.wav", "scene": "passthrough", "language": "en", "oral": "The current latency of the API endpoint is approximately 250ms, which exceeds our SLA of 100ms.", "clean": "The current latency of the API endpoint is approximately 250ms, which exceeds our SLA of 100ms.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“latency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "The current latency of the API endpoint"}, {"id": "q002", "category": "content", "question": "output中是否保留了“endpoint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "The current latency of the API endpoint"}, {"id": "q003", "category": "format", "question": "output中是否将“API”保持了全大写格式？", "options": [{"text": "保持了全大写格式", "score": 1}, {"text": "没有保持全大写但存在该词", "score": 0}, {"text": "不存在该词或格式错误", "score": -1}], "evidence": "API endpoint"}, {"id": "q004", "category": "content", "question": "output中是否保留了“approximately”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "approximately 250ms"}, {"id": "q005", "category": "format", "question": "output中是否将“250ms”保留为“250ms”？", "options": [{"text": "保留了“250ms”", "score": 1}, {"text": "保留了“250 ms”或“250 milliseconds”等未完全规范化形式", "score": 0}, {"text": "不存在该数值或单位", "score": -1}], "evidence": "approximately 250ms"}, {"id": "q006", "category": "content", "question": "output中是否保留了“exceeds”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "which exceeds our SLA"}, {"id": "q007", "category": "format", "question": "output中是否将“SLA”保持了全大写格式？", "options": [{"text": "保持了全大写格式", "score": 1}, {"text": "没有保持全大写但存在该词", "score": 0}, {"text": "不存在该词或格式错误", "score": -1}], "evidence": "our SLA of 100ms"}, {"id": "q008", "category": "format", "question": "output中是否将“100ms”保留为“100ms”？", "options": [{"text": "保留了“100ms”", "score": 1}, {"text": "保留了“100 ms”或“100 milliseconds”等未完全规范化形式", "score": 0}, {"text": "不存在该数值或单位", "score": -1}], "evidence": "SLA of 100ms"}]}
{"status": "success", "index": 777, "source_record_id": "assigned_records.jsonl:18651", "source_line": 773, "audio": "audio/passthrough__assigned_recordsjsonl18651.wav", "scene": "passthrough", "language": "en", "oral": "My order number is 88293410, but the tracking status hasn't updated for 3 days.", "clean": "My order number is 88293410, but the tracking status hasn't updated for 3 days.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“order number”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "My order number"}, {"id": "q002", "category": "content", "question": "output中是否存在“tracking status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the tracking status"}, {"id": "q003", "category": "content", "question": "output中是否存在“hasn't updated”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "hasn't updated"}, {"id": "q004", "category": "format", "question": "output中是否将“three days”规范化成了“3 days”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three days”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "for 3 days"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、重复词"}]}
{"status": "success", "index": 776, "source_record_id": "assigned_records.jsonl:18659", "source_line": 775, "audio": "audio/passthrough__assigned_recordsjsonl18659.wav", "scene": "passthrough", "language": "en", "oral": "Set a reminder for 6:00pm tomorrow to call the dentist and reschedule my appointment for next Tuesday.", "clean": "Set a reminder for 6:00pm tomorrow to call the dentist and reschedule my appointment for next Tuesday.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Set a reminder”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Set a reminder"}, {"id": "q002", "category": "format", "question": "output中是否保留了“6:00pm”？", "options": [{"text": "保留了“6:00pm”", "score": 1}, {"text": "保留了类似“six pm”的原始说法但没有规范化", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "6:00pm"}, {"id": "q003", "category": "content", "question": "output中是否存在“tomorrow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "tomorrow"}, {"id": "q004", "category": "content", "question": "output中是否存在“call the dentist”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "call the dentist"}, {"id": "q005", "category": "content", "question": "output中是否存在“reschedule my appointment”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "reschedule my appointment"}, {"id": "q006", "category": "format", "question": "output中是否保留了“next Tuesday”且“Tuesday”首字母大写？", "options": [{"text": "保留了“next Tuesday”且首字母大写", "score": 1}, {"text": "保留了“next tuesday”但没有首字母大写", "score": 0}, {"text": "缺失或错误", "score": -1}], "evidence": "next Tuesday"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词、犹豫词、重复词、插入语"}]}
{"status": "success", "index": 779, "source_record_id": "assigned_records.jsonl:18664", "source_line": 776, "audio": "audio/passthrough__assigned_recordsjsonl18664.wav", "scene": "passthrough", "language": "en", "oral": "The current implementation of the transformer model is causing a memory leak during the backward pass of the training loop.", "clean": "The current implementation of the transformer model is causing a memory leak during the backward pass of the training loop.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“transformer model”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "transformer model"}, {"id": "q002", "category": "content", "question": "output中是否存在“memory leak”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "memory leak"}, {"id": "q003", "category": "content", "question": "output中是否存在“backward pass”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "backward pass"}, {"id": "q004", "category": "content", "question": "output中是否存在“training loop”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "training loop"}]}
{"status": "success", "index": 780, "source_record_id": "assigned_records.jsonl:18670", "source_line": 778, "audio": "audio/passthrough__assigned_recordsjsonl18670.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the status of order 88291 and check if the shipping address was corrected?", "clean": "Could you please update the status of order 88291 and check if the shipping address was corrected?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“update the status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: update the status"}, {"id": "q002", "category": "content", "question": "output中是否保留了“order 88291”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: order 88291"}, {"id": "q003", "category": "content", "question": "output中是否保留了“shipping address”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: shipping address"}, {"id": "q004", "category": "content", "question": "output中是否保留了“was corrected”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: was corrected"}]}
{"status": "success", "index": 781, "source_record_id": "assigned_records.jsonl:18696", "source_line": 782, "audio": "audio/passthrough__assigned_recordsjsonl18696.wav", "scene": "passthrough", "language": "en", "oral": "Turn off the living room lights and set the thermostat to 22 degrees.", "clean": "Turn off the living room lights and set the thermostat to 22 degrees.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Turn off the living room lights”（关掉客厅的灯）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Turn off the living room lights"}, {"id": "q002", "category": "content", "question": "output中是否保留了“set the thermostat”（设定恒温器）？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "set the thermostat"}, {"id": "q003", "category": "format", "question": "output中是否将温度规范化为了“22 degrees”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "22 degrees"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Turn off the living room lights and set the thermostat to 22 degrees."}]}
{"status": "success", "index": 778, "source_record_id": "assigned_records.jsonl:18668", "source_line": 777, "audio": "audio/passthrough__assigned_recordsjsonl18668.wav", "scene": "passthrough", "language": "en", "oral": "I need to schedule a meeting with the design team for next Tuesday at 2:00pm to review the Figma prototypes.", "clean": "I need to schedule a meeting with the design team for next Tuesday at 2:00pm to review the Figma prototypes.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“schedule a meeting”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "schedule a meeting"}, {"id": "q002", "category": "content", "question": "output中是否存在“design team”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "design team"}, {"id": "q003", "category": "content", "question": "output中是否存在“review”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "review"}, {"id": "q004", "category": "content", "question": "output中是否存在“prototypes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "prototypes"}, {"id": "q005", "category": "format", "question": "output中是否将时间表达规范化成了“2:00pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2:00pm”或“two o'clock pm”等原始说法", "score": 0}, {"text": "不存在该时间表达或规范化错误", "score": -1}], "evidence": "2:00pm"}, {"id": "q006", "category": "format", "question": "output中是否将专有名词正确拼写并首字母大写为“Figma”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“figma”等原始说法", "score": 0}, {"text": "不存在该词或拼写及大小写错误", "score": -1}], "evidence": "Figma"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I need to schedule a meeting with the design team for next Tuesday at 2:00pm to review the Figma prototypes."}]}
{"status": "success", "index": 782, "source_record_id": "assigned_records.jsonl:18681", "source_line": 780, "audio": "audio/passthrough__assigned_recordsjsonl18681.wav", "scene": "passthrough", "language": "en", "oral": "Could you explain the difference between the Transformer architecture and traditional RNNs in terms of parallelization?", "clean": "Could you explain the difference between the Transformer architecture and traditional RNNs in terms of parallelization?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Transformer”保持了首字母大写的正确格式？", "options": [{"text": "保持了正确的大写格式", "score": 1}, {"text": "没有保持正确的大写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Transformer"}, {"id": "q002", "category": "format", "question": "output中是否将“RNNs”保持了全大写的正确格式？", "options": [{"text": "保持了正确的大写格式", "score": 1}, {"text": "没有保持正确的大写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "RNNs"}, {"id": "q003", "category": "content", "question": "output中是否存在“explain the difference”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "explain the difference"}, {"id": "q004", "category": "content", "question": "output中是否存在“architecture”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "architecture"}, {"id": "q005", "category": "content", "question": "output中是否存在“traditional”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "traditional"}, {"id": "q006", "category": "content", "question": "output中是否存在“in terms of parallelization”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "in terms of parallelization"}]}
{"status": "success", "index": 783, "source_record_id": "assigned_records.jsonl:18672", "source_line": 779, "audio": "audio/passthrough__assigned_recordsjsonl18672.wav", "scene": "passthrough", "language": "en", "oral": "The current model's F1 score has improved by 2.5% after applying the new regularization technique described in the 2023 paper.", "clean": "The current model's F1 score has improved by 2.5% after applying the new regularization technique described in the 2023 paper.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“current model's F1 score”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: The current model's F1 score"}, {"id": "q002", "category": "format", "question": "output中是否将“2.5%”规范化成了“2.5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2.5%”的原始说法", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "clean: improved by 2.5%"}, {"id": "q003", "category": "content", "question": "output中是否保留了“new regularization technique”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: the new regularization technique"}, {"id": "q004", "category": "format", "question": "output中是否将“2023”规范化成了“2023”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2023”的原始说法", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "clean: the 2023 paper"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: The current model's F1 score has improved by 2.5% after applying the new regularization technique described in the 2023 paper."}]}
{"status": "success", "index": 785, "source_record_id": "assigned_records.jsonl:18697", "source_line": 783, "audio": "audio/passthrough__assigned_recordsjsonl18697.wav", "scene": "passthrough", "language": "en", "oral": "Regarding the Q3 financial report, we need to analyze the correlation between user acquisition costs and the lifetime value of the customer.", "clean": "Regarding the Q3 financial report, we need to analyze the correlation between user acquisition costs and the lifetime value of the customer.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Q3”保留为了“Q3”？", "options": [{"text": "进行了相同或合理的规范化，保留了“Q3”", "score": 1}, {"text": "没有进行规范化但存在“Q3”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Q3"}, {"id": "q002", "category": "content", "question": "output中是否存在“user acquisition costs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "user acquisition costs"}, {"id": "q003", "category": "content", "question": "output中是否存在“lifetime value of the customer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "lifetime value of the customer"}, {"id": "q004", "category": "content", "question": "output中是否存在“correlation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "correlation"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 784, "source_record_id": "assigned_records.jsonl:18684", "source_line": 781, "audio": "audio/passthrough__assigned_recordsjsonl18684.wav", "scene": "passthrough", "language": "en", "oral": "The p-value of the experimental group is 0.03, which indicates a statistically significant result at the 5% level.", "clean": "The p-value of the experimental group is 0.03, which indicates a statistically significant result at the 5% level.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“experimental group”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "experimental group"}, {"id": "q002", "category": "content", "question": "output中是否存在“statistically significant”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "statistically significant"}, {"id": "q003", "category": "format", "question": "output中是否将“0.03”规范化成了“0.03”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“0.03”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "0.03"}, {"id": "q004", "category": "format", "question": "output中是否将“5%”规范化成了“5%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“5%”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "5%"}, {"id": "q005", "category": "format", "question": "output中是否将“p-value”规范化成了“p-value”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“p-value”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "p-value"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词语"}]}
{"status": "success", "index": 786, "source_record_id": "assigned_records.jsonl:18721", "source_line": 786, "audio": "audio/passthrough__assigned_recordsjsonl18721.wav", "scene": "passthrough", "language": "en", "oral": "Set a reminder for 8:00pm tonight to take the laundry out of the washing machine.", "clean": "Set a reminder for 8:00pm tonight to take the laundry out of the washing machine.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“set a reminder”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Set a reminder"}, {"id": "q002", "category": "content", "question": "output中是否保留了“take the laundry out of the washing machine”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: take the laundry out of the washing machine"}, {"id": "q003", "category": "format", "question": "output中是否将时间表达规范化成了“8:00pm”或“8:00 PM”？", "options": [{"text": "规范化成了“8:00pm”或“8:00 PM”", "score": 1}, {"text": "没有规范化但存在“eight pm”或“8:00pm”", "score": 0}, {"text": "不存在该时间表达或规范化成了其他错误形式", "score": -1}], "evidence": "clean: 8:00pm"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Set a reminder for 8:00pm tonight to take the laundry out of the washing machine."}]}
{"status": "success", "index": 787, "source_record_id": "assigned_records.jsonl:18711", "source_line": 785, "audio": "audio/passthrough__assigned_recordsjsonl18711.wav", "scene": "passthrough", "language": "en", "oral": "Can you check the status of order number 8829401 and tell me if it has shipped yet?", "clean": "Can you check the status of order number 8829401 and tell me if it has shipped yet?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“check the status of order”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check the status of order"}, {"id": "q002", "category": "content", "question": "output中是否存在“if it has shipped yet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: if it has shipped yet"}, {"id": "q003", "category": "format", "question": "output中是否将订单号写成了“8829401”？", "options": [{"text": "写成了“8829401”", "score": 1}, {"text": "没有写成“8829401”但存在该订单号的英文读法", "score": 0}, {"text": "不存在该订单号或写错", "score": -1}], "evidence": "clean: 8829401"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Can you check the status of order number 8829401 and tell me if it has shipped yet?"}]}
{"status": "success", "index": 789, "source_record_id": "assigned_records.jsonl:18732", "source_line": 787, "audio": "audio/passthrough__assigned_recordsjsonl18732.wav", "scene": "passthrough", "language": "en", "oral": "Remind me to buy milk and pick up the dry cleaning tomorrow at 9:00am.", "clean": "Remind me to buy milk and pick up the dry cleaning tomorrow at 9:00am.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“buy milk”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: buy milk"}, {"id": "q002", "category": "content", "question": "output中是否存在“pick up the dry cleaning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pick up the dry cleaning"}, {"id": "q003", "category": "content", "question": "output中是否存在“tomorrow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: tomorrow"}, {"id": "q004", "category": "format", "question": "output中是否将时间表示为了“9:00am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“9:00am”", "score": 0}, {"text": "不存在该时间表达或规范化错误", "score": -1}], "evidence": "clean: 9:00am"}]}
{"status": "success", "index": 788, "source_record_id": "assigned_records.jsonl:18705", "source_line": 784, "audio": "audio/passthrough__assigned_recordsjsonl18705.wav", "scene": "passthrough", "language": "en", "oral": "The latest benchmark results show that the Transformer-based model outperforms the previous baseline by 12% in terms of F1 score.", "clean": "The latest benchmark results show that the Transformer-based model outperforms the previous baseline by 12% in terms of F1 score.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“the latest benchmark results”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "The latest benchmark results"}, {"id": "q002", "category": "format", "question": "output中是否将“12%”规范化成了“12%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“12%”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "12%"}, {"id": "q003", "category": "format", "question": "output中是否将“Transformer-based”规范化成了首字母大写的“Transformer-based”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Transformer-based”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Transformer-based"}, {"id": "q004", "category": "format", "question": "output中是否将“F1 score”规范化成了首字母大写和数字结合的“F1 score”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“F1 score”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "F1 score"}, {"id": "q005", "category": "content", "question": "output中是否保留了“outperforms the previous baseline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "outperforms the previous baseline"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "The latest benchmark results show that the Transformer-based model outperforms the previous baseline by 12% in terms of F1 score."}]}
{"status": "success", "index": 790, "source_record_id": "assigned_records.jsonl:18735", "source_line": 788, "audio": "audio/passthrough__assigned_recordsjsonl18735.wav", "scene": "passthrough", "language": "en", "oral": "How do I configure the environment variables for a React project using Vite?", "clean": "How do I configure the environment variables for a React project using Vite?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“configure the environment variables”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: configure the environment variables"}, {"id": "q002", "category": "format", "question": "output中是否将“React”保持首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: React"}, {"id": "q003", "category": "format", "question": "output中是否将“Vite”保持首字母大写？", "options": [{"text": "保持了首字母大写", "score": 1}, {"text": "没有保持首字母大写但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "clean: Vite"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: How do I configure the environment variables for a React project using Vite?"}]}
{"status": "success", "index": 792, "source_record_id": "assigned_records.jsonl:18742", "source_line": 790, "audio": "audio/passthrough__assigned_recordsjsonl18742.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the project timeline for the Q3 deliverables and send it to the stakeholders by 5:00pm tomorrow?", "clean": "Could you please update the project timeline for the Q3 deliverables and send it to the stakeholders by 5:00pm tomorrow?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“project timeline”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: project timeline"}, {"id": "q002", "category": "content", "question": "output中是否存在“Q3 deliverables”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: Q3 deliverables"}, {"id": "q003", "category": "format", "question": "output中是否保留了“5:00pm”？", "options": ["保留了“5:00pm”(1)", "没有进行规范化但存在“five pm”等原始说法(0)", "不存在这个词或规范化错误(-1)"], "evidence": "clean: 5:00pm"}, {"id": "q004", "category": "content", "question": "output中是否存在“stakeholders”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: stakeholders"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: Could you please update the project timeline for the Q3 deliverables and send it to the stakeholders by 5:00pm tomorrow?"}, {"id": "q006", "category": "content", "question": "output中是否存在“update”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: update"}, {"id": "q007", "category": "content", "question": "output中是否存在“tomorrow”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: tomorrow"}]}
{"status": "success", "index": 791, "source_record_id": "assigned_records.jsonl:18747", "source_line": 791, "audio": "audio/passthrough__assigned_recordsjsonl18747.wav", "scene": "passthrough", "language": "en", "oral": "Navigate to the nearest Starbucks on Broadway and avoid tolls if possible.", "clean": "Navigate to the nearest Starbucks on Broadway and avoid tolls if possible.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“nearest”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "nearest"}, {"id": "q002", "category": "content", "question": "output中是否存在“avoid tolls”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "avoid tolls"}, {"id": "q003", "category": "content", "question": "output中是否存在“if possible”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "if possible"}, {"id": "q004", "category": "format", "question": "output中是否将“Starbucks”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“starbucks”", "score": 0}, {"text": "不存在该词或首字母未大写", "score": -1}], "evidence": "Starbucks"}, {"id": "q005", "category": "format", "question": "output中是否将“Broadway”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“broadway”", "score": 0}, {"text": "不存在该词或首字母未大写", "score": -1}], "evidence": "Broadway"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 793, "source_record_id": "assigned_records.jsonl:18752", "source_line": 792, "audio": "audio/passthrough__assigned_recordsjsonl18752.wav", "scene": "passthrough", "language": "en", "oral": "Who won the 2024 Academy Award for Best Picture?", "clean": "Who won the 2024 Academy Award for Best Picture?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Who won”这一语义单元？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Who won"}, {"id": "q002", "category": "format", "question": "output中是否保留了“2024”？", "options": [{"text": "保留了“2024”", "score": 1}, {"text": "未保留“2024”或写成了其他形式", "score": -1}], "evidence": "2024"}, {"id": "q003", "category": "format", "question": "output中是否保留了“Academy Award”且首字母大写？", "options": [{"text": "保留了“Academy Award”且首字母大写", "score": 1}, {"text": "保留了该词但未大写或大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Academy Award"}, {"id": "q004", "category": "format", "question": "output中是否保留了“Best Picture”且首字母大写？", "options": [{"text": "保留了“Best Picture”且首字母大写", "score": 1}, {"text": "保留了该词但未大写或大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Best Picture"}]}
{"status": "success", "index": 795, "source_record_id": "assigned_records.jsonl:18760", "source_line": 794, "audio": "audio/passthrough__assigned_recordsjsonl18760.wav", "scene": "passthrough", "language": "en", "oral": "We should pivot the current sprint to prioritize the security patches before we release the beta version to the public.", "clean": "We should pivot the current sprint to prioritize the security patches before we release the beta version to the public.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pivot the current sprint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "pivot the current sprint"}, {"id": "q002", "category": "content", "question": "output中是否保留了“prioritize the security patches”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "prioritize the security patches"}, {"id": "q003", "category": "content", "question": "output中是否保留了“release the beta version”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "release the beta version"}, {"id": "q004", "category": "content", "question": "output中是否保留了“to the public”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "to the public"}]}
{"status": "success", "index": 794, "source_record_id": "assigned_records.jsonl:18736", "source_line": 789, "audio": "audio/passthrough__assigned_recordsjsonl18736.wav", "scene": "passthrough", "language": "en", "oral": "Please update the Jira ticket to 'In Progress' and assign the bug fix to the backend team.", "clean": "Please update the Jira ticket to 'In Progress' and assign the bug fix to the backend team.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“update the ticket”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "update the Jira ticket"}, {"id": "q002", "category": "format", "question": "output中是否将“Jira”保持了首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“jira”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "Jira"}, {"id": "q003", "category": "format", "question": "output中是否将“In Progress”保持了首字母大写并带有引号？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“in progress”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "'In Progress'"}, {"id": "q004", "category": "content", "question": "output中是否保留了“assign the bug fix”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "assign the bug fix"}, {"id": "q005", "category": "content", "question": "output中是否保留了“backend team”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "backend team"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 797, "source_record_id": "assigned_records.jsonl:18782", "source_line": 796, "audio": "audio/passthrough__assigned_recordsjsonl18782.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the Jira ticket for the API integration issue and assign it to the backend team?", "clean": "Could you please update the Jira ticket for the API integration issue and assign it to the backend team?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“Jira”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“jira”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"Jira\""}, {"id": "q002", "category": "format", "question": "output中是否将“API”全大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“api”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"API\""}, {"id": "q003", "category": "content", "question": "output中是否存在“integration issue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"integration issue\""}, {"id": "q004", "category": "content", "question": "output中是否存在“assign it to the backend team”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"assign it to the backend team\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Could you please update the Jira ticket for the API integration issue and assign it to the backend team?\""}]}
{"status": "success", "index": 798, "source_record_id": "assigned_records.jsonl:18775", "source_line": 795, "audio": "audio/passthrough__assigned_recordsjsonl18775.wav", "scene": "passthrough", "language": "en", "oral": "Please update the Kubernetes cluster to version 1.28 and restart the ingress controller.", "clean": "Please update the Kubernetes cluster to version 1.28 and restart the ingress controller.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“update the cluster”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "update the Kubernetes cluster"}, {"id": "q002", "category": "format", "question": "output中是否保留了“Kubernetes”的首字母大写？", "options": [{"text": "保留了首字母大写", "score": 1}, {"text": "没有首字母大写", "score": 0}, {"text": "缺失或大小写错误", "score": -1}], "evidence": "Kubernetes"}, {"id": "q003", "category": "format", "question": "output中是否保留了“1.28”的数字格式？", "options": [{"text": "保留了“1.28”格式", "score": 1}, {"text": "仍保留原始说法但没规范化（如拼写为one point two eight）", "score": 0}, {"text": "缺失或规范化错误", "score": -1}], "evidence": "1.28"}, {"id": "q004", "category": "content", "question": "output中是否保留了“restart the ingress controller”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "restart the ingress controller"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Please update the Kubernetes cluster to version 1.28 and restart the ingress controller."}]}
{"status": "success", "index": 796, "source_record_id": "assigned_records.jsonl:18757", "source_line": 793, "audio": "audio/passthrough__assigned_recordsjsonl18757.wav", "scene": "passthrough", "language": "en", "oral": "I need to schedule a 1:1 sync with the product manager to discuss the Q3 roadmap and resource allocation.", "clean": "I need to schedule a 1:1 sync with the product manager to discuss the Q3 roadmap and resource allocation.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“1:1”保留为“1:1”？", "options": [{"text": "保留了“1:1”", "score": 1}, {"text": "没有保留为“1:1”但存在“one to one”等", "score": 0}, {"text": "不存在这个词或格式错误", "score": -1}], "evidence": "1:1"}, {"id": "q002", "category": "format", "question": "output中是否将“Q3”保留为“Q3”？", "options": [{"text": "保留了“Q3”", "score": 1}, {"text": "没有保留为“Q3”但存在“quarter three”等", "score": 0}, {"text": "不存在这个词或格式错误", "score": -1}], "evidence": "Q3"}, {"id": "q003", "category": "content", "question": "output中是否存在“schedule a sync”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "schedule a sync"}, {"id": "q004", "category": "content", "question": "output中是否存在“product manager”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "product manager"}, {"id": "q005", "category": "content", "question": "output中是否存在“roadmap”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "roadmap"}, {"id": "q006", "category": "content", "question": "output中是否存在“resource allocation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "resource allocation"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 800, "source_record_id": "assigned_records.jsonl:18814", "source_line": 801, "audio": "audio/passthrough__assigned_recordsjsonl18814.wav", "scene": "passthrough", "language": "en", "oral": "Remind me to pick up the dry cleaning and buy some almond milk at 6:30pm tonight.", "clean": "Remind me to pick up the dry cleaning and buy some almond milk at 6:30pm tonight.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pick up the dry cleaning”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "pick up the dry cleaning"}, {"id": "q002", "category": "content", "question": "output中是否保留了“buy some almond milk”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "buy some almond milk"}, {"id": "q003", "category": "content", "question": "output中是否保留了“at 6:30pm tonight”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "at 6:30pm tonight"}]}
{"status": "success", "index": 799, "source_record_id": "assigned_records.jsonl:18796", "source_line": 799, "audio": "audio/passthrough__assigned_recordsjsonl18796.wav", "scene": "passthrough", "language": "en", "oral": "Can you remind me to submit the quarterly budget report by 5:00pm this Friday?", "clean": "Can you remind me to submit the quarterly budget report by 5:00pm this Friday?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“quarterly budget report”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "quarterly budget report"}, {"id": "q002", "category": "content", "question": "output中是否存在“remind me to submit”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "remind me to submit"}, {"id": "q003", "category": "content", "question": "output中是否存在“this Friday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "this Friday"}, {"id": "q004", "category": "format", "question": "output中是否将时间表达规范化为“5:00pm”？", "options": [{"text": "进行了相同或合理的规范化，如“5:00pm”", "score": 1}, {"text": "没有进行规范化但存在“5:00pm”或“five pm”等原始说法", "score": 0}, {"text": "不存在该时间表达或规范化错误", "score": -1}], "evidence": "5:00pm"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Can you remind me to submit the quarterly budget report by 5:00pm this Friday?"}]}
{"status": "success", "index": 804, "source_record_id": "assigned_records.jsonl:18815", "source_line": 802, "audio": "audio/passthrough__assigned_recordsjsonl18815.wav", "scene": "passthrough", "language": "en", "oral": "I'm sorry to hear that your package hasn't arrived yet. Could you please provide your order number so I can track it?", "clean": "I'm sorry to hear that your package hasn't arrived yet. Could you please provide your order number so I can track it?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“I'm sorry to hear that”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I'm sorry to hear that"}, {"id": "q002", "category": "content", "question": "output中是否存在“package hasn't arrived yet”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "package hasn't arrived yet"}, {"id": "q003", "category": "content", "question": "output中是否存在“order number”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "order number"}, {"id": "q004", "category": "content", "question": "output中是否存在“track it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "track it"}]}
{"status": "success", "index": 801, "source_record_id": "assigned_records.jsonl:18811", "source_line": 800, "audio": "audio/passthrough__assigned_recordsjsonl18811.wav", "scene": "passthrough", "language": "en", "oral": "I need to draft a summary of today's sprint planning meeting, focusing on the three main blockers identified by the frontend team.", "clean": "I need to draft a summary of today's sprint planning meeting, focusing on the three main blockers identified by the frontend team.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“draft a summary”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "draft a summary"}, {"id": "q002", "category": "content", "question": "output中是否存在“sprint planning meeting”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "sprint planning meeting"}, {"id": "q003", "category": "content", "question": "output中是否存在“three main blockers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "three main blockers"}, {"id": "q004", "category": "content", "question": "output中是否存在“frontend team”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "frontend team"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I need to draft a summary of today's sprint planning meeting, focusing on the three main blockers identified by the frontend team."}]}
{"status": "success", "index": 803, "source_record_id": "assigned_records.jsonl:18783", "source_line": 797, "audio": "audio/passthrough__assigned_recordsjsonl18783.wav", "scene": "passthrough", "language": "en", "oral": "I'm looking for a high-resolution PDF of the 2023 Transformer architecture survey paper, specifically focusing on the attention mechanism metrics.", "clean": "I'm looking for a high-resolution PDF of the 2023 Transformer architecture survey paper, specifically focusing on the attention mechanism metrics.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“high-resolution PDF”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "high-resolution PDF"}, {"id": "q002", "category": "content", "question": "output中是否存在“attention mechanism metrics”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "attention mechanism metrics"}, {"id": "q003", "category": "format", "question": "output中是否将“Transformer”首字母大写？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Transformer”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Transformer"}, {"id": "q004", "category": "format", "question": "output中是否将“2023”规范化为数字“2023”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“2023”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "2023"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I'm looking for a high-resolution PDF of the 2023 Transformer architecture survey paper, specifically focusing on the attention mechanism metrics."}, {"id": "q006", "category": "rephrase", "question": "output中是否将oral中的自我修正或解释性语句进行了删减并保留最终结果？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "I'm looking for a high-resolution PDF of the 2023 Transformer architecture survey paper, specifically focusing on the attention mechanism metrics."}]}
{"status": "success", "index": 802, "source_record_id": "assigned_records.jsonl:18792", "source_line": 798, "audio": "audio/passthrough__assigned_recordsjsonl18792.wav", "scene": "passthrough", "language": "en", "oral": "I think we should prioritize the API integration before moving on to the frontend UI polish.", "clean": "I think we should prioritize the API integration before moving on to the frontend UI polish.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“I think we should”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I think we should"}, {"id": "q002", "category": "content", "question": "output中是否存在“prioritize the API integration”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: prioritize the API integration"}, {"id": "q003", "category": "content", "question": "output中是否存在“before moving on to”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: before moving on to"}, {"id": "q004", "category": "content", "question": "output中是否存在“the frontend UI polish”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the frontend UI polish"}, {"id": "q005", "category": "format", "question": "output中是否将“API”保持为大写字母格式？", "options": [{"text": "进行了相同或合理的规范化，保持大写", "score": 1}, {"text": "没有进行规范化，写成了小写“api”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: API"}, {"id": "q006", "category": "format", "question": "output中是否将“UI”保持为大写字母格式？", "options": [{"text": "进行了相同或合理的规范化，保持大写", "score": 1}, {"text": "没有进行规范化，写成了小写“ui”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: UI"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I think we should prioritize the API integration before moving on to the frontend UI polish."}]}
{"status": "success", "index": 806, "source_record_id": "assigned_records.jsonl:18831", "source_line": 806, "audio": "audio/passthrough__assigned_recordsjsonl18831.wav", "scene": "passthrough", "language": "en", "oral": "I need to remember to pick up the dry cleaning and buy some almond milk on my way home tonight.", "clean": "I need to remember to pick up the dry cleaning and buy some almond milk on my way home tonight.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“pick up the dry cleaning”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "pick up the dry cleaning"}, {"id": "q002", "category": "content", "question": "output中是否存在“buy some almond milk”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "buy some almond milk"}, {"id": "q003", "category": "content", "question": "output中是否存在“on my way home tonight”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "on my way home tonight"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I need to remember to pick up the dry cleaning and buy some almond milk on my way home tonight."}]}
{"status": "success", "index": 807, "source_record_id": "assigned_records.jsonl:18836", "source_line": 808, "audio": "audio/passthrough__assigned_recordsjsonl18836.wav", "scene": "passthrough", "language": "en", "oral": "Hey, are you free this Saturday? A few of us are planning to go hiking at 8:00am.", "clean": "Hey, are you free this Saturday? A few of us are planning to go hiking at 8:00am.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“free this Saturday”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "free this Saturday"}, {"id": "q002", "category": "content", "question": "output中是否保留了“planning to go hiking”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "planning to go hiking"}, {"id": "q003", "category": "format", "question": "output中是否将时间规范化成了“8:00am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“8:00am”等原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "8:00am"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 808, "source_record_id": "assigned_records.jsonl:18829", "source_line": 804, "audio": "audio/passthrough__assigned_recordsjsonl18829.wav", "scene": "passthrough", "language": "en", "oral": "The current model achieves an F1 score of 0.89 on the validation set, but we are seeing significant overfitting on the training data.", "clean": "The current model achieves an F1 score of 0.89 on the validation set, but we are seeing significant overfitting on the training data.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“F1”正确大写？", "options": [{"text": "正确大写", "score": 1}, {"text": "未大写但存在", "score": 0}, {"text": "不存在", "score": -1}], "evidence": "F1"}, {"id": "q002", "category": "format", "question": "output中是否将“0.89”正确规范化为数字格式？", "options": [{"text": "正确规范化为0.89", "score": 1}, {"text": "未规范化但存在0.89或零点八九", "score": 0}, {"text": "不存在", "score": -1}], "evidence": "0.89"}, {"id": "q003", "category": "content", "question": "output中是否存在“validation set”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "validation set"}, {"id": "q004", "category": "content", "question": "output中是否存在“significant overfitting”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "significant overfitting"}, {"id": "q005", "category": "content", "question": "output中是否存在“training data”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "training data"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "The current model achieves an F1 score of 0.89 on the validation set, but we are seeing significant overfitting on the training data."}]}
{"status": "success", "index": 805, "source_record_id": "assigned_records.jsonl:18828", "source_line": 803, "audio": "audio/passthrough__assigned_recordsjsonl18828.wav", "scene": "passthrough", "language": "en", "oral": "Could you please provide the latest project update and let me know if there are any blockers for the Q3 release?", "clean": "Could you please provide the latest project update and let me know if there are any blockers for the Q3 release?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“latest project update”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: latest project update"}, {"id": "q002", "category": "content", "question": "output中是否保留了“blockers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: blockers"}, {"id": "q003", "category": "format", "question": "output中是否将“Q3”规范化成了“Q3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Q3”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Q3 / clean: Q3"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Could you please provide the latest project update and let me know if there are any blockers for the Q3 release?"}]}
{"status": "success", "index": 809, "source_record_id": "assigned_records.jsonl:18830", "source_line": 805, "audio": "audio/passthrough__assigned_recordsjsonl18830.wav", "scene": "passthrough", "language": "en", "oral": "Please run the docker-compose up command and check if the redis container is running on port 6379.", "clean": "Please run the docker-compose up command and check if the redis container is running on port 6379.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“docker-compose up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "docker-compose up"}, {"id": "q002", "category": "content", "question": "output中是否存在“redis”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "redis"}, {"id": "q003", "category": "content", "question": "output中是否存在“6379”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "6379"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral中无口语词或重复词"}]}
{"status": "success", "index": 811, "source_record_id": "assigned_records.jsonl:18832", "source_line": 807, "audio": "audio/passthrough__assigned_recordsjsonl18832.wav", "scene": "passthrough", "language": "en", "oral": "I think we should pivot our strategy for Q3 to focus more on user retention rather than aggressive acquisition.", "clean": "I think we should pivot our strategy for Q3 to focus more on user retention rather than aggressive acquisition.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“pivot our strategy”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "pivot our strategy"}, {"id": "q002", "category": "content", "question": "output中是否存在“Q3”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Q3"}, {"id": "q003", "category": "content", "question": "output中是否存在“user retention”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "user retention"}, {"id": "q004", "category": "content", "question": "output中是否存在“aggressive acquisition”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "aggressive acquisition"}]}
{"status": "success", "index": 810, "source_record_id": "assigned_records.jsonl:18840", "source_line": 809, "audio": "audio/passthrough__assigned_recordsjsonl18840.wav", "scene": "passthrough", "language": "en", "oral": "Could you please update the project timeline in Jira and notify the stakeholders about the delay in the API integration?", "clean": "Could you please update the project timeline in Jira and notify the stakeholders about the delay in the API integration?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“project timeline”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "project timeline"}, {"id": "q002", "category": "format", "question": "output中是否将专有名词“Jira”正确大写为“Jira”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Jira"}, {"id": "q003", "category": "content", "question": "output中是否保留了“stakeholders”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "stakeholders"}, {"id": "q004", "category": "format", "question": "output中是否将“API”规范化为全大写的“API”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在该词", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "API"}, {"id": "q005", "category": "content", "question": "output中是否保留了“delay”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "delay"}, {"id": "q006", "category": "content", "question": "output中是否保留了“integration”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "integration"}, {"id": "q007", "category": "content", "question": "output中是否保留了“update”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "update"}, {"id": "q008", "category": "content", "question": "output中是否保留了“notify”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "notify"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Could you please update the project timeline in Jira and notify the stakeholders about the delay in the API integration?"}]}
{"status": "success", "index": 812, "source_record_id": "assigned_records.jsonl:19011", "source_line": 811, "audio": "audio/tech__assigned_recordsjsonl19011.wav", "scene": "tech", "language": "en", "oral": "Hey, so, quick thing. People always think that just dumping everything into Azure Blob is the fastest way to cache, but that is actually a huge misconception because of the latency. I want to run a real benchmark. I have got some configs in slash dot kube slash config and I am looking at the trivy image scan logs. Uh, let us compare the performance between using Amazon RDS... oh wait, no, I mean Amazon ElastiCache... and a local filesystem cache at slash var lib docker slash. Can you help me script a test for this? I need it to run for like ten... uh, let us say fifteen iterations.", "clean": "Hey, quick thing. People always think that just dumping everything into Azure Blob is the fastest way to cache, but that is actually a huge misconception because of the latency. I want to run a real benchmark. I have got some configs in /.kube/config and I am looking at the Trivy image scan logs. Let us compare the performance between using Amazon ElastiCache and a local filesystem cache at /var/lib/docker/. Can you help me script a test for this? I need it to run for 15 iterations.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Azure Blob”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Azure Blob"}, {"id": "q002", "category": "content", "question": "output中是否存在“huge misconception”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: huge misconception"}, {"id": "q003", "category": "content", "question": "output中是否存在“image scan logs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: image scan logs"}, {"id": "q004", "category": "content", "question": "output中是否存在“local filesystem cache”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: local filesystem cache"}, {"id": "q005", "category": "format", "question": "output中是否将“slash dot kube slash config”规范化成了“/.kube/config”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“slash dot kube slash config”", "score": 0}, {"text": "不存在该词或规范化后的文本", "score": -1}], "evidence": "oral: slash dot kube slash config; clean: /.kube/config"}, {"id": "q006", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在该词或规范化后的文本", "score": -1}], "evidence": "oral: trivy; clean: Trivy"}, {"id": "q007", "category": "format", "question": "output中是否将“slash var lib docker slash”规范化成了“/var/lib/docker/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“slash var lib docker slash”", "score": 0}, {"text": "不存在该词或规范化后的文本", "score": -1}], "evidence": "oral: slash var lib docker slash; clean: /var/lib/docker/"}, {"id": "q008", "category": "format", "question": "output中是否将“fifteen”规范化成了“15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen”", "score": 0}, {"text": "不存在该词或规范化后的文本", "score": -1}], "evidence": "oral: fifteen; clean: 15"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: so, Uh, oh wait, no, I mean, like, uh, let us say"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“Amazon RDS... oh wait, no, I mean Amazon ElastiCache”处理成了“Amazon ElastiCache”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Amazon RDS... oh wait, no, I mean Amazon ElastiCache; clean: Amazon ElastiCache"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“ten... uh, let us say fifteen”处理成了“15”或“fifteen”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: ten... uh, let us say fifteen; clean: 15"}]}
{"status": "success", "index": 813, "source_record_id": "assigned_records.jsonl:19256", "source_line": 813, "audio": "audio/tech__assigned_recordsjsonl19256.wav", "scene": "tech", "language": "en", "oral": "Hey! So I got this Express app and I need to add some authentication middleware. Currently I'm using Azure Cosmos DB... oh no, I mean Azure SQL Database for user storage. Anyway, I just ran docker-compose up to test locally and it's fine, but I'm seeing some weird cluster-dns issues in the dev environment. I tried a kubectl rollout undo but that didn't help, so I'm gonna try an argocd app sync. Can you help me write the middleware logic?", "clean": "Hey! So I got this Express app and I need to add some authentication middleware. Currently I'm using Azure SQL Database for user storage. Anyway, I just ran docker-compose up to test locally and it's fine, but I'm seeing some weird cluster-dns issues in the dev environment. I tried a kubectl rollout undo but that didn't help, so I'm gonna try an ArgoCD app sync. Can you help me write the middleware logic?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“authentication middleware”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I need to add some authentication middleware"}, {"id": "q002", "category": "content", "question": "output中是否存在“cluster-dns issues”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I'm seeing some weird cluster-dns issues"}, {"id": "q003", "category": "content", "question": "output中是否存在“kubectl rollout undo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: I tried a kubectl rollout undo"}, {"id": "q004", "category": "format", "question": "output中是否将“argocd”规范化成了“ArgoCD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“argocd”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: argocd app sync; clean: ArgoCD app sync"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Hey! So..., oh no, I mean...; clean: 去除了口语化插入语和犹豫词"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Azure Cosmos DB... oh no, I mean Azure SQL Database”处理成了“Azure SQL Database”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Currently I'm using Azure Cosmos DB... oh no, I mean Azure SQL Database; clean: Currently I'm using Azure SQL Database"}]}
{"status": "success", "index": 814, "source_record_id": "assigned_records.jsonl:19580", "source_line": 817, "audio": "audio/tech__assigned_recordsjsonl19580.wav", "scene": "tech", "language": "en", "oral": "Actually, people think I need to run terraform state pull to check the current schema, but that's not it. I'm actually seeing a 401 Unauthorized error when accessing the config in slash etc slash kubernetes slash or the one in tilde dot kube slash config. I already ran a trivy scan and everything is clean. Can you write the migration script for the database schema change?", "clean": "People think I need to run terraform state pull to check the current schema, but that's not it. I'm seeing a 401 Unauthorized error when accessing the config in /etc/kubernetes/ or the one in ~/.kube/config. I already ran a Trivy scan and everything is clean. Can you write the migration script for the database schema change?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, people think... I'm actually seeing -> People think... I'm seeing"}, {"id": "q002", "category": "format", "question": "output中是否将“slash etc slash kubernetes slash”规范化成了“/etc/kubernetes/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“slash etc slash kubernetes slash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "slash etc slash kubernetes slash -> /etc/kubernetes/"}, {"id": "q003", "category": "format", "question": "output中是否将“tilde dot kube slash config”规范化成了“~/.kube/config”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“tilde dot kube slash config”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "tilde dot kube slash config -> ~/.kube/config"}, {"id": "q004", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "trivy -> Trivy"}, {"id": "q005", "category": "content", "question": "output中是否存在“terraform state pull”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "terraform state pull"}, {"id": "q006", "category": "content", "question": "output中是否存在“401 Unauthorized error”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "401 Unauthorized error"}, {"id": "q007", "category": "content", "question": "output中是否存在“migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "migration script"}, {"id": "q008", "category": "content", "question": "output中是否存在“database schema change”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "database schema change"}]}
{"status": "success", "index": 815, "source_record_id": "assigned_records.jsonl:19568", "source_line": 816, "audio": "audio/tech__assigned_recordsjsonl19568.wav", "scene": "tech", "language": "en", "oral": "How should we configure the alerting for our queue depth? Actually I think we should trigger a warning when the concurrency limit hits eighty percent. We need to check if eksctl managed the node groups correctly. I will update the ansible playbook, update the ansible playbook to include the monitoring agent. Then we can monitor the RabbitMQ cluster, the RabbitMQ cluster specifically for unacknowledged messages. Also check the Amazon Aurora instance, wait, not the Aurora instance, the Aurora cluster for slow queries. Let us set the threshold to five hundred milliseconds.", "clean": "How should we configure the alerting for our queue depth? I think we should trigger a warning when the concurrency limit hits 80%. We need to check if eksctl managed the node groups correctly. I will update the Ansible playbook to include the monitoring agent. Then we can monitor the RabbitMQ cluster specifically for unacknowledged messages. Also check the Amazon Aurora cluster for slow queries. Let us set the threshold to 500ms.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“configure the alerting for our queue depth”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: How should we configure the alerting for our queue depth? clean: How should we configure the alerting for our queue depth?"}, {"id": "q002", "category": "content", "question": "output中是否保留了“trigger a warning when the concurrency limit hits”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: trigger a warning when the concurrency limit hits eighty percent. clean: trigger a warning when the concurrency limit hits 80%."}, {"id": "q003", "category": "content", "question": "output中是否保留了“check if eksctl managed the node groups correctly”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: We need to check if eksctl managed the node groups correctly. clean: We need to check if eksctl managed the node groups correctly."}, {"id": "q004", "category": "content", "question": "output中是否保留了“include the monitoring agent”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: to include the monitoring agent. clean: to include the monitoring agent."}, {"id": "q005", "category": "content", "question": "output中是否保留了“monitor the RabbitMQ cluster specifically for unacknowledged messages”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: monitor the RabbitMQ cluster specifically for unacknowledged messages. clean: monitor the RabbitMQ cluster specifically for unacknowledged messages."}, {"id": "q006", "category": "format", "question": "output中是否将“eighty percent”规范化成了“80%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: eighty percent. clean: 80%."}, {"id": "q007", "category": "format", "question": "output中是否将“ansible”规范化成了首字母大写的“Ansible”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: ansible playbook. clean: Ansible playbook."}, {"id": "q008", "category": "format", "question": "output中是否将“five hundred milliseconds”规范化成了“500ms”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原始说法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: five hundred milliseconds. clean: 500ms."}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Actually I think... update the ansible playbook, update the ansible playbook... the RabbitMQ cluster, the RabbitMQ cluster... clean: 无上述口语词和重复词语。"}, {"id": "q010", "category": "rephrase", "question": "output中是否将“Amazon Aurora instance, wait, not the Aurora instance, the Aurora cluster”处理成了“Amazon Aurora cluster”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Also check the Amazon Aurora instance, wait, not the Aurora instance, the Aurora cluster for slow queries. clean: Also check the Amazon Aurora cluster for slow queries."}]}
{"status": "success", "index": 816, "source_record_id": "assigned_records.jsonl:19317", "source_line": 814, "audio": "audio/tech__assigned_recordsjsonl19317.wav", "scene": "tech", "language": "en", "oral": "Hey, so my lead just told me, and I quote, the system is throwing a five zero four Gateway Timeout and we need to check the ingress. But, uh, looking at the logs, it seems... wait, let me rephrase... it looks more like a backend hang. I already ran aws e-k-s update kubeconfig to get into the cluster, and everything seems fine there. I suspect maybe RabbitMQ is bottlenecking or... um... maybe the connection to DynamoDB is lagging. Or, actually, it could be Amazon Aurora hitting some connection limit. Can you help me analyze if this timeout is coming from the load balancer or deeper in the stack?", "clean": "Hey, so my lead just told me, and I quote, the system is throwing a 504 Gateway Timeout and we need to check the ingress. But looking at the logs, it looks more like a backend hang. I already ran aws eks update-kubeconfig to get into the cluster, and everything seems fine there. I suspect maybe RabbitMQ is bottlenecking or maybe the connection to DynamoDB is lagging. Or, actually, it could be Amazon Aurora hitting some connection limit. Can you help me analyze if this timeout is coming from the load balancer or deeper in the stack?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“five zero four”规范化成了“504”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five zero four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: “five zero four”, clean: “504”"}, {"id": "q002", "category": "format", "question": "output中是否将“Gateway Timeout”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“gateway timeout”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: “Gateway Timeout”, clean: “Gateway Timeout”"}, {"id": "q003", "category": "format", "question": "output中是否将“aws e-k-s update kubeconfig”规范化成了“aws eks update-kubeconfig”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“aws e-k-s update kubeconfig”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: “aws e-k-s update kubeconfig”, clean: “aws eks update-kubeconfig”"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“it seems... wait, let me rephrase... it looks more like”处理成了“it looks more like”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: “it seems... wait, let me rephrase... it looks more like”, clean: “it looks more like”"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: “uh”, “um”, clean: 无"}, {"id": "q006", "category": "content", "question": "output中是否存在“backend hang”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “backend hang”"}, {"id": "q007", "category": "content", "question": "output中是否存在“RabbitMQ”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “RabbitMQ”"}, {"id": "q008", "category": "content", "question": "output中是否存在“DynamoDB”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “DynamoDB”"}, {"id": "q009", "category": "content", "question": "output中是否存在“Amazon Aurora”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “Amazon Aurora”"}, {"id": "q010", "category": "content", "question": "output中是否存在“load balancer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “load balancer”"}, {"id": "q011", "category": "content", "question": "output中是否存在“ingress”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: “ingress”"}]}
{"status": "success", "index": 818, "source_record_id": "assigned_records.jsonl:19696", "source_line": 818, "audio": "audio/tech__assigned_recordsjsonl19696.wav", "scene": "tech", "language": "en", "oral": "Hey. So, first off, just to be clear, we aren't just wrapping the shell commands in a subprocess call. That is not what I mean. I want a proper rewrite into a Python CLI tool. Okay, so... uh... the script basically handles the RabbitMQ setup. It needs to trigger pulumi up for the infra, and then it scans images using trivy. Actually, wait... it should... let me rephrase... it needs to check the files in forward slash etc forward slash kubernetes forward slash manifests forward slash and then run trivy against those specific images. Can you handle that conversion?", "clean": "Hey. So, first off, just to be clear, we aren't just wrapping the shell commands in a subprocess call. That is not what I mean. I want a proper rewrite into a Python CLI tool. The script handles the RabbitMQ setup. It needs to trigger pulumi up for the infra, and then it needs to check the files in /etc/kubernetes/manifests/ and then run trivy against those specific images. Can you handle that conversion?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“subprocess call”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "wrapping the shell commands in a subprocess call"}, {"id": "q002", "category": "content", "question": "output中是否存在“Python CLI tool”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "rewrite into a Python CLI tool"}, {"id": "q003", "category": "content", "question": "output中是否存在“RabbitMQ setup”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "handles the RabbitMQ setup"}, {"id": "q004", "category": "content", "question": "output中是否存在“pulumi up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "trigger pulumi up for the infra"}, {"id": "q005", "category": "format", "question": "output中是否将“forward slash etc forward slash kubernetes forward slash manifests forward slash”规范化成了“/etc/kubernetes/manifests/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forward slash etc forward slash kubernetes forward slash manifests forward slash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "check the files in forward slash etc forward slash kubernetes forward slash manifests forward slash -> check the files in /etc/kubernetes/manifests/"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Okay, so... uh... / Actually, wait... it should... let me rephrase..."}, {"id": "q007", "category": "rephrase", "question": "output中是否将“scans images using trivy. Actually, wait... it should... let me rephrase...”处理成了“check the files in”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "scans images using trivy. Actually, wait... it should... let me rephrase... it needs to check the files in -> needs to check the files in"}]}
{"status": "success", "index": 820, "source_record_id": "assigned_records.jsonl:19782", "source_line": 819, "audio": "audio/tech__assigned_recordsjsonl19782.wav", "scene": "tech", "language": "en", "oral": "Honestly, I think we got a four hundred nine Conflict on the state lock. I was trying to push the az network vnet peer changes, but uh, maybe we should... wait, let me rephrase... if we just tweak the concurrency limit in the provider block, it might stop hitting MongoDB Atlas so hard. Also, we need to check if Grafana Loki is actually receiving the logs or if it is just... uh... dropping them.", "clean": "Honestly, I think we got a 409 Conflict on the state lock. I was trying to push the az network vnet peer changes, but if we just tweak the concurrency limit in the provider block, it might stop hitting MongoDB Atlas so hard. Also, we need to check if Grafana Loki is actually receiving the logs or if it is just dropping them.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“four hundred nine”规范化成了“409”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four hundred nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"four hundred nine\", clean: \"409\""}, {"id": "q002", "category": "content", "question": "output中是否存在“az network vnet peer”或其同音/近音写法？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"az network vnet peer\", clean: \"az network vnet peer\""}, {"id": "q003", "category": "content", "question": "output中是否存在“MongoDB Atlas”或其同音/近音写法？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"MongoDB Atlas\", clean: \"MongoDB Atlas\""}, {"id": "q004", "category": "content", "question": "output中是否存在“Grafana Loki”或其同音/近音写法？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"Grafana Loki\", clean: \"Grafana Loki\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“maybe we should... wait, let me rephrase... if we just tweak”处理成了“if we just tweak”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"maybe we should... wait, let me rephrase... if we just tweak\", clean: \"if we just tweak\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh\", \"uh\""}]}
{"status": "success", "index": 817, "source_record_id": "assigned_records.jsonl:19202", "source_line": 812, "audio": "audio/tech__assigned_recordsjsonl19202.wav", "scene": "tech", "language": "en", "oral": "Hey, can you write me a migration script to add a new column for event tracking to our main table? Uh, so we're moving some logic from Apache Kafka into the DB to reduce latency. I tried running gcloud alpha... oh wait, not alpha, gcloud beta to check some configs, and I noticed we need this change before we push to /etc/kubernetes/manifests/ for the core components. We also gotta make sure the enable admission webhook... uh, enable admission webhook flag is set in ArgoCD, wait, no, it's in the cluster config... oh no, it's in ArgoCD, sorry. Anyway, just need that SQL script for the schema update, thanks.", "clean": "Hey, can you write me a migration script to add a new column for event tracking to our main table? So we're moving some logic from Apache Kafka into the DB to reduce latency. I tried running gcloud beta to check some configs, and I noticed we need this change before we push to /etc/kubernetes/manifests/ for the core components. We also gotta make sure the enable admission webhook flag is set in ArgoCD. Anyway, just need that SQL script for the schema update, thanks.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Uh, oh wait, uh, wait, no, oh no, sorry, enable admission webhook... uh, enable admission webhook"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“gcloud alpha... oh wait, not alpha, gcloud beta”处理成了“gcloud beta”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "gcloud alpha... oh wait, not alpha, gcloud beta -> gcloud beta"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“enable admission webhook flag is set in ArgoCD, wait, no, it's in the cluster config... oh no, it's in ArgoCD, sorry”处理成了“enable admission webhook flag is set in ArgoCD”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "enable admission webhook flag is set in ArgoCD, wait, no, it's in the cluster config... oh no, it's in ArgoCD, sorry -> enable admission webhook flag is set in ArgoCD"}, {"id": "q004", "category": "format", "question": "output中是否将路径输出为“/etc/kubernetes/manifests/”？", "options": [{"text": "输出了“/etc/kubernetes/manifests/”", "score": 1}, {"text": "输出了该路径但格式错误", "score": 0}, {"text": "不存在该路径", "score": -1}], "evidence": "/etc/kubernetes/manifests/"}, {"id": "q005", "category": "format", "question": "output中是否将专有名词正确输出为“Apache Kafka”？", "options": [{"text": "正确输出了“Apache Kafka”", "score": 1}, {"text": "存在该词但大小写错误", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Apache Kafka"}, {"id": "q006", "category": "content", "question": "output中是否存在“migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "migration script"}, {"id": "q007", "category": "content", "question": "output中是否存在“event tracking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "event tracking"}, {"id": "q008", "category": "content", "question": "output中是否存在“moving some logic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "moving some logic"}, {"id": "q009", "category": "content", "question": "output中是否存在“reduce latency”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "reduce latency"}, {"id": "q010", "category": "content", "question": "output中是否存在“check some configs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check some configs"}, {"id": "q011", "category": "content", "question": "output中是否存在“core components”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "core components"}, {"id": "q012", "category": "content", "question": "output中是否存在“SQL script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "SQL script"}, {"id": "q013", "category": "content", "question": "output中是否存在“schema update”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "schema update"}]}
{"status": "success", "index": 821, "source_record_id": "assigned_records.jsonl:20180", "source_line": 822, "audio": "audio/tech__assigned_recordsjsonl20180.wav", "scene": "tech", "language": "en", "oral": "If we switch from the standard az network vnet setup to crossplane beta, then we could benchmark if increasing keepalive_timeout helps, but I need you to check the auth context in my dot kube slash config first.", "clean": "If we switch from the standard Azure network VNet setup to Crossplane beta, then we could benchmark if increasing keepalive_timeout helps, but I need you to check the auth context in my .kube/config first.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“dot kube slash config”规范化成了“.kube/config”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dot kube slash config”", "score": 0}, {"text": "不存在“.kube/config”或“dot kube slash config”", "score": -1}], "evidence": "clean: \".kube/config\", oral: \"dot kube slash config\""}, {"id": "q002", "category": "format", "question": "output中是否将“vnet”规范化成了“VNet”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“vnet”", "score": 0}, {"text": "不存在“VNet”或“vnet”", "score": -1}], "evidence": "clean: \"VNet\", oral: \"vnet\""}, {"id": "q003", "category": "format", "question": "output中是否将“crossplane”规范化成了“Crossplane”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“crossplane”", "score": 0}, {"text": "不存在“Crossplane”或“crossplane”", "score": -1}], "evidence": "clean: \"Crossplane\", oral: \"crossplane\""}, {"id": "q004", "category": "content", "question": "output中是否存在“Azure”或“az”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Azure\", oral: \"az\""}, {"id": "q005", "category": "content", "question": "output中是否存在“keepalive_timeout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"keepalive_timeout\", oral: \"keepalive_timeout\""}, {"id": "q006", "category": "content", "question": "output中是否存在“auth context”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"auth context\", oral: \"auth context\""}, {"id": "q007", "category": "content", "question": "output中是否存在“benchmark”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"benchmark\", oral: \"benchmark\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"If we switch from the standard az network vnet setup to crossplane beta, then we could benchmark if increasing keepalive_timeout helps, but I need you to check the auth context in my dot kube slash config first.\""}]}
{"status": "success", "index": 819, "source_record_id": "assigned_records.jsonl:19454", "source_line": 815, "audio": "audio/tech__assigned_recordsjsonl19454.wav", "scene": "tech", "language": "en", "oral": "Hey, quick question. I think some people think Exit Code one hundred thirty seven means a generic application crash, but oh no, it's specifically an OOM kill, right? So I'm trying to fix this in my pipeline. I need to scale the worker-processes, scale the worker-processes to maybe four or eight. I'm running the ansible-playbook now, but it keeps failing. Wait, it's failing with Exit Code one hundred thirty seven... ah no, it's actually one hundred twenty seven. Anyway, I'm also seeing some throttled requests on DynamoDB, so I think I need to bump the write-capacity-units to five hundred... five hundred. And lastly, can you help me check if Grafana Loki is actually indexing the logs? Because, how to say, the dashboard is just blank.", "clean": "Hey, quick question. I think some people think Exit Code 137 means a generic application crash, but it's specifically an OOM kill, right? So I'm trying to fix this in my pipeline. I need to scale the worker-processes to maybe 4 or 8. I'm running the ansible-playbook now, but it keeps failing. It's failing with Exit Code 127. Anyway, I'm also seeing some throttled requests on DynamoDB, so I think I need to bump the write-capacity-units to 500. And lastly, can you help me check if Grafana Loki is actually indexing the logs? Because the dashboard is just blank.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“generic application crash”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: generic application crash"}, {"id": "q002", "category": "content", "question": "output中是否存在“OOM kill”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: OOM kill"}, {"id": "q003", "category": "content", "question": "output中是否存在“pipeline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pipeline"}, {"id": "q004", "category": "content", "question": "output中是否存在“ansible-playbook”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: ansible-playbook"}, {"id": "q005", "category": "content", "question": "output中是否存在“throttled requests”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: throttled requests"}, {"id": "q006", "category": "content", "question": "output中是否存在“DynamoDB”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: DynamoDB"}, {"id": "q007", "category": "content", "question": "output中是否存在“Grafana Loki”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Grafana Loki"}, {"id": "q008", "category": "content", "question": "output中是否存在“indexing the logs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: indexing the logs"}, {"id": "q009", "category": "content", "question": "output中是否存在“dashboard is just blank”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: dashboard is just blank"}, {"id": "q010", "category": "format", "question": "output中是否将“one hundred thirty seven”规范化成了“137”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred thirty seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one hundred thirty seven, clean: 137"}, {"id": "q011", "category": "format", "question": "output中是否将“four or eight”规范化成了“4 or 8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four or eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: four or eight, clean: 4 or 8"}, {"id": "q012", "category": "format", "question": "output中是否将“one hundred twenty seven”规范化成了“127”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twenty seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one hundred twenty seven, clean: 127"}, {"id": "q013", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred, clean: 500"}, {"id": "q014", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: oh no, scale the worker-processes scale the worker-processes, Wait, ah no, how to say"}, {"id": "q015", "category": "rephrase", "question": "output中是否将“Exit Code one hundred thirty seven... ah no, it's actually one hundred twenty seven”处理成了“Exit Code 127”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Exit Code one hundred thirty seven... ah no, it's actually one hundred twenty seven, clean: Exit Code 127"}]}
{"status": "success", "index": 822, "source_record_id": "assigned_records.jsonl:19809", "source_line": 820, "audio": "audio/tech__assigned_recordsjsonl19809.wav", "scene": "tech", "language": "en", "oral": "Honestly, I am staring at this production log and it makes zero sense. I tried running flux get kustomization to check the state, but it just keeps throwing a weird timeout. I think it might be buffer size issue, maybe set it to five hundred twelve? Just, how should I put this, I noticed the disk is almost full at forward slash var lib docker forward slash and we are connecting to Amazon RDS and az iot hub simultaneously. Can you help me decode this error?", "clean": "Honestly, I am staring at this production log and it makes zero sense. I tried running flux get kustomization to check the state, but it just keeps throwing a weird timeout. I think it might be a buffer size issue, maybe set it to 512? I noticed the disk is almost full at /var/lib/docker/ and we are connecting to Amazon RDS and Azure IoT Hub simultaneously. Can you help me decode this error?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“production log”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "staring at this production log"}, {"id": "q002", "category": "content", "question": "output中是否保留了“flux get kustomization”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "running flux get kustomization"}, {"id": "q003", "category": "content", "question": "output中是否保留了“buffer size issue”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "it might be buffer size issue"}, {"id": "q004", "category": "content", "question": "output中是否保留了“Amazon RDS”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "connecting to Amazon RDS"}, {"id": "q005", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "maybe set it to five hundred twelve -> maybe set it to 512"}, {"id": "q006", "category": "format", "question": "output中是否将“forward slash var lib docker forward slash”规范化成了“/var/lib/docker/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“forward slash var lib docker forward slash”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "full at forward slash var lib docker forward slash -> full at /var/lib/docker/"}, {"id": "q007", "category": "format", "question": "output中是否将“az iot hub”规范化成了“Azure IoT Hub”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“az iot hub”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "and az iot hub simultaneously -> and Azure IoT Hub simultaneously"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Just, how should I put this,"}]}
{"status": "success", "index": 825, "source_record_id": "assigned_records.jsonl:20389", "source_line": 826, "audio": "audio/tech__assigned_recordsjsonl20389.wav", "scene": "tech", "language": "en", "oral": "I am setting up the pipeline and I am not totally sure but I think I need to check the az network vnet configuration first. Then I will probably git rebase my feature branch before checking the config in /etc/nginx/ to make sure it is correct. After that I will trigger an argocd app sync and maybe tweak the cpu-shares to five hundred twelve to avoid throttling.", "clean": "I am setting up the pipeline and I am not totally sure but I think I need to check the Azure Network VNet configuration first. Then I will probably git rebase my feature branch before checking the config in /etc/nginx/ to make sure it is correct. After that I will trigger an ArgoCD app sync and maybe tweak the cpu-shares to 512 to avoid throttling.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“az network vnet”规范化成了“Azure Network VNet”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“az network vnet”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: az network vnet; clean: Azure Network VNet"}, {"id": "q002", "category": "format", "question": "output中是否将“argocd”规范化成了“ArgoCD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“argocd”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: argocd; clean: ArgoCD"}, {"id": "q003", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred twelve; clean: 512"}, {"id": "q004", "category": "content", "question": "output中是否存在“setting up the pipeline”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: setting up the pipeline"}, {"id": "q005", "category": "content", "question": "output中是否存在“git rebase my feature branch”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: git rebase my feature branch"}, {"id": "q006", "category": "content", "question": "output中是否存在“checking the config in /etc/nginx/”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: checking the config in /etc/nginx/"}, {"id": "q007", "category": "content", "question": "output中是否存在“trigger an app sync”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: trigger an ArgoCD app sync"}, {"id": "q008", "category": "content", "question": "output中是否存在“tweak the cpu-shares”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: tweak the cpu-shares"}, {"id": "q009", "category": "content", "question": "output中是否存在“avoid throttling”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: avoid throttling"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I am setting up the pipeline and I am not totally sure but I think I need to check the az network vnet configuration first. Then I will probably git rebase my feature branch before checking the config in /etc/nginx/ to make sure it is correct. After that I will trigger an argocd app sync and maybe tweak the cpu-shares to five hundred twelve to avoid throttling."}]}
{"status": "success", "index": 824, "source_record_id": "assigned_records.jsonl:20234", "source_line": 823, "audio": "audio/tech__assigned_recordsjsonl20234.wav", "scene": "tech", "language": "en", "oral": "So I just finished cleaning up the environment. I had to run terraform state rm to remove some stale resources. Then I did a trivy scan on the images and everything looks good. I already ran terraform apply for the Apache Kafka cluster and the MongoDB Atlas instance. Actually the MongoDB Atlas... it's like... it is fully provisioned now. So, uh, I think I think we are ready. Just, how should I put it, if you could just... could you write some integration tests for the user profile API endpoint, right?", "clean": "So I just finished cleaning up the environment. I had to run terraform state rm to remove some stale resources. Then I did a Trivy scan on the images and everything looks good. I already ran terraform apply for the Apache Kafka cluster and the MongoDB Atlas instance. The MongoDB Atlas is fully provisioned now. So, I think we are ready. If you could just write some integration tests for the user profile API endpoint, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“terraform state rm”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I had to run terraform state rm to remove some stale resources."}, {"id": "q002", "category": "content", "question": "output中是否保留了“Apache Kafka cluster”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I already ran terraform apply for the Apache Kafka cluster and the MongoDB Atlas instance."}, {"id": "q003", "category": "content", "question": "output中是否保留了“user profile API endpoint”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "could you write some integration tests for the user profile API endpoint, right?"}, {"id": "q004", "category": "content", "question": "output中是否保留了“cleaning up the environment”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "So I just finished cleaning up the environment."}, {"id": "q005", "category": "content", "question": "output中是否保留了“remove some stale resources”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "to remove some stale resources."}, {"id": "q006", "category": "content", "question": "output中是否保留了“integration tests”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "write some integration tests for the user profile API endpoint"}, {"id": "q007", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Then I did a trivy scan on the images -> Then I did a Trivy scan on the images"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually the MongoDB Atlas... it's like... it is / So, uh, I think I think / Just, how should I put it, if you could just... could you"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“Actually the MongoDB Atlas... it's like... it is fully provisioned now.”处理成了“The MongoDB Atlas is fully provisioned now.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Actually the MongoDB Atlas... it's like... it is fully provisioned now. -> The MongoDB Atlas is fully provisioned now."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“Just, how should I put it, if you could just... could you write”处理成了“If you could just write”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Just, how should I put it, if you could just... could you write -> If you could just write"}]}
{"status": "success", "index": 823, "source_record_id": "assigned_records.jsonl:20290", "source_line": 824, "audio": "audio/tech__assigned_recordsjsonl20290.wav", "scene": "tech", "language": "en", "oral": "Why is my pod stuck in crash loop back off again? Hmm, I think it might be the cluster port configuration. I used eksctl to spin up the nodes, but I might have messed up the networking. It should be connecting to Amazon RDS, oh no, I mean Azure Cosmos DB for the state store, and then passing messages through RabbitMQ. Let me check if port eight zero eight zero... no, eight thousand eighty is open.", "clean": "Why is my pod stuck in CrashLoopBackOff again? I think it might be the cluster port configuration. I used eksctl to spin up the nodes, but I might have messed up the networking. It should be connecting to Azure Cosmos DB for the state store, and then passing messages through RabbitMQ. Let me check if port 8080 is open.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“crash loop back off”规范化成了“CrashLoopBackOff”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“crash loop back off”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: crash loop back off; clean: CrashLoopBackOff"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Hmm,"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Amazon RDS, oh no, I mean Azure Cosmos DB”处理成了“Azure Cosmos DB”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Amazon RDS, oh no, I mean Azure Cosmos DB; clean: Azure Cosmos DB"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“eight zero eight zero... no, eight thousand eighty”处理成了“8080”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: eight zero eight zero... no, eight thousand eighty; clean: 8080"}, {"id": "q005", "category": "content", "question": "output中是否存在“pod stuck”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: pod stuck"}, {"id": "q006", "category": "content", "question": "output中是否存在“cluster port configuration”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: cluster port configuration"}, {"id": "q007", "category": "content", "question": "output中是否存在“eksctl”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: eksctl"}, {"id": "q008", "category": "content", "question": "output中是否存在“spin up the nodes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: spin up the nodes"}, {"id": "q009", "category": "content", "question": "output中是否存在“messed up the networking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: messed up the networking"}, {"id": "q010", "category": "content", "question": "output中是否存在“state store”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: state store"}, {"id": "q011", "category": "content", "question": "output中是否存在“RabbitMQ”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: RabbitMQ"}]}
{"status": "success", "index": 826, "source_record_id": "assigned_records.jsonl:19965", "source_line": 821, "audio": "audio/tech__assigned_recordsjsonl19965.wav", "scene": "tech", "language": "en", "oral": "Look, most people think we just need to tweak the /proc/sys/net/ settings for this latency issue. But actually, it's not a kernel parameter problem. No, it's not a kernel parameter problem. I've been checking Datadog and the spikes are coming from the logging layer. We need to change Terraform to mount /var/log/pods/ as a separate volume. We should... I mean... if we adjust the storage class for the logs, it should stabilize. Also, make sure the trivy image scan is running before the deploy. I want the trivy image scan to fail the build if high severity hits. Once that's done, just trigger the argocd app sync. Trigger the argocd app sync for all twenty four clusters.", "clean": "Look, most people think we just need to tweak the /proc/sys/net/ settings for this latency issue. But actually, it's not a kernel parameter problem. I've been checking Datadog and the spikes are coming from the logging layer. We need to change Terraform to mount /var/log/pods/ as a separate volume. If we adjust the storage class for the logs, it should stabilize. Also, make sure the Trivy image scan is running before the deploy. I want the Trivy image scan to fail the build if high severity hits. Once that's done, just trigger the ArgoCD app sync for all 24 clusters.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“/proc/sys/net/”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: /proc/sys/net/"}, {"id": "q002", "category": "content", "question": "output中是否存在“Datadog”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Datadog"}, {"id": "q003", "category": "content", "question": "output中是否存在“/var/log/pods/”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: /var/log/pods/"}, {"id": "q004", "category": "content", "question": "output中是否存在“storage class”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: storage class"}, {"id": "q005", "category": "content", "question": "output中是否存在“high severity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: high severity"}, {"id": "q006", "category": "format", "question": "output中是否将“trivy”规范化成了“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: trivy, clean: Trivy"}, {"id": "q007", "category": "format", "question": "output中是否将“argocd”规范化成了“ArgoCD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“argocd”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: argocd, clean: ArgoCD"}, {"id": "q008", "category": "format", "question": "output中是否将“twenty four”规范化成了“24”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twenty four, clean: 24"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: We should... I mean..., No, it's not a kernel parameter problem."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“No, it's not a kernel parameter problem.”处理成了删除该重复语句？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: No, it's not a kernel parameter problem., clean: 删除"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“We should... I mean... if we adjust”处理成了“If we adjust”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: We should... I mean... if we adjust, clean: If we adjust"}, {"id": "q012", "category": "rephrase", "question": "output中是否将重复的“Trigger the argocd app sync.”处理成了删除该重复语句？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Trigger the argocd app sync., clean: 删除"}]}
{"status": "success", "index": 829, "source_record_id": "assigned_records.jsonl:20520", "source_line": 828, "audio": "audio/tech__assigned_recordsjsonl20520.wav", "scene": "tech", "language": "en", "oral": "So my lead told me we need to move the stateful set to cluster mode, cluster mode to handle the scaling better. I think I think this is overkill for our current load. I checked the nodes via k9s and noticed the disk pressure is mostly in var lib docker. I tried running aws eks update kubeconfig to sync everything but I still cannot hit the pod. Also we need to check gcloud iam permissions for the service account. Can you write me a migration script to update the schema? Make sure it handles the three hundred twenty two tables without locking the database.", "clean": "So my lead told me we need to move the stateful set to cluster mode to handle the scaling better. I think this is overkill for our current load. I checked the nodes via k9s and noticed the disk pressure is mostly in /var/lib/docker. I tried running aws eks update-kubeconfig to sync everything but I still cannot hit the pod. Also we need to check gcloud IAM permissions for the service account. Can you write me a migration script to update the schema? Make sure it handles the 322 tables without locking the database.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "cluster mode, cluster mode; I think I think"}, {"id": "q002", "category": "format", "question": "output中是否将“var lib docker”规范化成了“/var/lib/docker”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“var lib docker”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "var lib docker -> /var/lib/docker"}, {"id": "q003", "category": "format", "question": "output中是否将“update kubeconfig”规范化成了“update-kubeconfig”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“update kubeconfig”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "update kubeconfig -> update-kubeconfig"}, {"id": "q004", "category": "format", "question": "output中是否将“iam”规范化成了“IAM”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“iam”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "iam -> IAM"}, {"id": "q005", "category": "format", "question": "output中是否将“three hundred twenty two”规范化成了“322”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hundred twenty two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "three hundred twenty two -> 322"}, {"id": "q006", "category": "content", "question": "output中是否存在“stateful set”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stateful set"}, {"id": "q007", "category": "content", "question": "output中是否存在“k9s”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "k9s"}, {"id": "q008", "category": "content", "question": "output中是否存在“disk pressure”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "disk pressure"}, {"id": "q009", "category": "content", "question": "output中是否存在“migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "migration script"}, {"id": "q010", "category": "content", "question": "output中是否存在“locking the database”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "locking the database"}]}
{"status": "success", "index": 828, "source_record_id": "assigned_records.jsonl:20346", "source_line": 825, "audio": "audio/tech__assigned_recordsjsonl20346.wav", "scene": "tech", "language": "en", "oral": "Hey, so I thought this was a gcloud pubsub issue at first, but actually it is not. The leak is happening at the node level. I checked the pod status and it was showing ErrImagePull... oh wait, no, it was ImagePullBackOff. Anyway, I am looking at the config in etc kubernetes manifests slash, and I think max worker processes is set way too high. I tried tuning some kernel parameters in proc sys net ipv4 slash but it did not help. I need to figure out why memory keeps climbing in this xing environment, so let me know if you see any pattern in the logs when it reaches two gigabytes of usage. I just want to make sure it does not crash again in the production garden.", "clean": "Hey, so I thought this was a gcloud Pub/Sub issue at first, but actually it is not. The leak is happening at the node level. I checked the pod status and it was showing ImagePullBackOff. Anyway, I am looking at the config in /etc/kubernetes/manifests/, and I think max worker processes is set way too high. I tried tuning some kernel parameters in /proc/sys/net/ipv4/ but it did not help. I need to figure out why memory keeps climbing in this xing environment, so let me know if you see any pattern in the logs when it reaches 2GB of usage. I just want to make sure it does not crash again in the production garden.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“gcloud issue”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"gcloud Pub/Sub issue\" / oral: \"gcloud pubsub issue\""}, {"id": "q002", "category": "format", "question": "output中是否将“pubsub”规范化成了“Pub/Sub”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“pubsub”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"Pub/Sub\" / oral: \"pubsub\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“leak at the node level”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"leak is happening at the node level\" / oral: \"leak is happening at the node level\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“ErrImagePull... oh wait, no, it was ImagePullBackOff”处理成了“ImagePullBackOff”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: \"ImagePullBackOff\" / oral: \"ErrImagePull... oh wait, no, it was ImagePullBackOff\""}, {"id": "q005", "category": "format", "question": "output中是否将“etc kubernetes manifests slash”规范化成了“/etc/kubernetes/manifests/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“etc kubernetes manifests slash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"/etc/kubernetes/manifests/\" / oral: \"etc kubernetes manifests slash\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“max worker processes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"max worker processes\" / oral: \"max worker processes\""}, {"id": "q007", "category": "format", "question": "output中是否将“proc sys net ipv4 slash”规范化成了“/proc/sys/net/ipv4/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“proc sys net ipv4 slash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"/proc/sys/net/ipv4/\" / oral: \"proc sys net ipv4 slash\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“xing environment”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"xing environment\" / oral: \"xing environment\""}, {"id": "q009", "category": "format", "question": "output中是否将“two gigabytes”规范化成了“2GB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two gigabytes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"2GB\" / oral: \"two gigabytes\""}, {"id": "q010", "category": "content", "question": "output中是否保留了“production garden”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"production garden\" / oral: \"production garden\""}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"oh wait, no\""}]}
{"status": "success", "index": 827, "source_record_id": "assigned_records.jsonl:20515", "source_line": 827, "audio": "audio/tech__assigned_recordsjsonl20515.wav", "scene": "tech", "language": "en", "oral": "Hey Alex, I need help optimizing a slow SQL query. I think I think the bottleneck is in the worker-processes configuration. We are currently running on MongoDB Atlas, but the latency is spiking. I checked the port-mapping and ran istioctl analyze... it showed some issues with the health-check-interval. It was set to ten seconds... oh no, it was fifteen seconds. Can you look at the query plan and tell me if we should adjust the worker-processes worker-processes to handle more concurrent loads?", "clean": "Hey Alex, I need help optimizing a slow SQL query. I think the bottleneck is in the worker-processes configuration. We are currently running on MongoDB Atlas, but the latency is spiking. I checked the port-mapping and ran istioctl analyze... it showed some issues with the health-check-interval. It was set to 15 seconds. Can you look at the query plan and tell me if we should adjust the worker-processes to handle more concurrent loads?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I think I think, worker-processes worker-processes"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ten seconds... oh no, it was fifteen seconds”处理成了“15 seconds”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "ten seconds... oh no, it was fifteen seconds. -> 15 seconds."}, {"id": "q003", "category": "format", "question": "output中是否将“fifteen seconds”规范化成了“15 seconds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen seconds”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "fifteen seconds -> 15 seconds"}, {"id": "q004", "category": "format", "question": "output中是否将“MongoDB Atlas”和“istioctl”保持了正确的大小写格式（即“MongoDB Atlas”和“istioctl”）？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "MongoDB Atlas, istioctl"}, {"id": "q005", "category": "content", "question": "output中是否存在“optimizing a slow SQL query”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "optimizing a slow SQL query"}, {"id": "q006", "category": "content", "question": "output中是否存在“bottleneck is in the worker-processes configuration”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "bottleneck is in the worker-processes configuration"}, {"id": "q007", "category": "content", "question": "output中是否存在“latency is spiking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "latency is spiking"}, {"id": "q008", "category": "content", "question": "output中是否存在“health-check-interval”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "health-check-interval"}, {"id": "q009", "category": "content", "question": "output中是否存在“handle more concurrent loads”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "handle more concurrent loads"}]}
{"status": "success", "index": 830, "source_record_id": "assigned_records.jsonl:20786", "source_line": 831, "audio": "audio/tech__assigned_recordsjsonl20786.wav", "scene": "tech", "language": "en", "oral": "Honestly, this function is a total mess. I need you to refactor it to handle the integration between Kong Gateway and HashiCorp Vault more cleanly, and then split the messaging logic between RabbitMQ and Apache Kafka. Also, make sure it correctly parses the path to dot slash kube slash config. Just keep it modular.", "clean": "Honestly, this function is a total mess. I need you to refactor it to handle the integration between Kong Gateway and HashiCorp Vault more cleanly, and then split the messaging logic between RabbitMQ and Apache Kafka. Also, make sure it correctly parses the path to ./kube/config. Just keep it modular.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“dot slash kube slash config”规范化成了“./kube/config”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dot slash kube slash config”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "oral: \"dot slash kube slash config\", clean: \"./kube/config\""}, {"id": "q002", "category": "format", "question": "output中是否将“Kong Gateway”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“kong gateway”等未大写形式", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"Kong Gateway\""}, {"id": "q003", "category": "format", "question": "output中是否将“HashiCorp Vault”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“hashicorp vault”等未大写形式", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"HashiCorp Vault\""}, {"id": "q004", "category": "format", "question": "output中是否将“RabbitMQ”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“rabbitmq”等未大写形式", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"RabbitMQ\""}, {"id": "q005", "category": "format", "question": "output中是否将“Apache Kafka”进行了正确的大小写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“apache kafka”等未大写形式", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "clean: \"Apache Kafka\""}, {"id": "q006", "category": "content", "question": "output中是否存在“refactor it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"refactor it\""}, {"id": "q007", "category": "content", "question": "output中是否存在“handle the integration”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"handle the integration\""}, {"id": "q008", "category": "content", "question": "output中是否存在“split the messaging logic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"split the messaging logic\""}, {"id": "q009", "category": "content", "question": "output中是否存在“parses the path”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"parses the path\""}, {"id": "q010", "category": "content", "question": "output中是否存在“keep it modular”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"keep it modular\""}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Honestly, this function is a total mess...\" (无明显口语词、犹豫词、重复词)"}]}
{"status": "success", "index": 833, "source_record_id": "assigned_records.jsonl:20740", "source_line": 830, "audio": "audio/tech__assigned_recordsjsonl20740.wav", "scene": "tech", "language": "en", "oral": "Hey, can you help me add some auth middleware to my Express app? I need it to check tokens and... uh... maybe log the requests to var slash log slash pods slash... oh wait, actually just set the log level to debug for now. Also, make sure the idle timeout is set to sixty seconds... no, sorry, ninety seconds. I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that. I just ran az login and then triggered an Argo CD app sync, so can you show me where to plug in the middleware in the main app file?", "clean": "Hey, can you help me add some auth middleware to my Express app? I need it to check tokens and just set the log level to debug for now. Also, make sure the idle timeout is set to 90 seconds. I just ran az login and then triggered an Argo CD app sync, so can you show me where to plug in the middleware in the main app file?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“auth middleware”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: add some auth middleware"}, {"id": "q002", "category": "content", "question": "output中是否保留了“check tokens”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check tokens"}, {"id": "q003", "category": "format", "question": "output中是否将“ninety seconds”规范化成了“90 seconds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ninety seconds”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: ninety seconds; clean: 90 seconds"}, {"id": "q004", "category": "format", "question": "output中是否将“az login”保持了“az”小写的格式？", "options": [{"text": "保持了正确格式", "score": 1}, {"text": "没有保持正确格式但存在该词", "score": 0}, {"text": "不存在该词或格式错误", "score": -1}], "evidence": "clean: az login"}, {"id": "q005", "category": "format", "question": "output中是否将“Argo CD”保持了“Argo”首字母大写和“CD”全大写的格式？", "options": [{"text": "保持了正确格式", "score": 1}, {"text": "没有保持正确格式但存在该词", "score": 0}, {"text": "不存在该词或格式错误", "score": -1}], "evidence": "clean: Argo CD"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, oh wait, no sorry, wait let me rephrase that"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“maybe log the requests to var slash log slash pods slash... oh wait, actually”去除了，并保留了最终结果“just set the log level to debug”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: maybe log the requests to var slash log slash pods slash... oh wait, actually just set the log level to debug; clean: just set the log level to debug"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that.”去除了，并保留了最终结果“I just ran az login and then triggered an Argo CD app sync”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I just did an az login and tried an Argo CD app sync but... wait, let me rephrase that. I just ran az login and then triggered an Argo CD app sync; clean: I just ran az login and then triggered an Argo CD app sync"}]}
{"status": "success", "index": 831, "source_record_id": "assigned_records.jsonl:20728", "source_line": 829, "audio": "audio/tech__assigned_recordsjsonl20728.wav", "scene": "tech", "language": "en", "oral": "Honestly, I need you to scan the source and generate full API docs from the comments. I keep getting this... uh... Invalid Token error when I try to pull from slash etc slash kubernetes slash manifests slash. Also, could you... wait, actually, just look at the CI pipeline. Check if the helm upgrade dash install command is failing. I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first, that would be better. Oh, and I probably need to do a git rebase dash i for those last three commits. Just... skip the a header for now.", "clean": "Honestly, I need you to scan the source and generate full API docs from the comments. I keep getting this Invalid Token error when I try to pull from /etc/kubernetes/manifests/. Also, just look at the CI pipeline. Check if the helm upgrade --install command is failing. If you could just check the sync status first, that would be better. Oh, and I probably need to do a git rebase -i for those last 3 commits. Just skip the a header for now.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“scan the source and generate full API docs”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: scan the source and generate full API docs"}, {"id": "q002", "category": "format", "question": "output中是否将“slash etc slash kubernetes slash manifests slash”规范化成了“/etc/kubernetes/manifests/”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: slash etc slash kubernetes slash manifests slash, clean: /etc/kubernetes/manifests/"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: this... uh... Invalid Token error, clean: this Invalid Token error"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“could you... wait, actually, just look at”处理成了“just look at”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: could you... wait, actually, just look at, clean: just look at"}, {"id": "q005", "category": "format", "question": "output中是否将“helm upgrade dash install”规范化成了“helm upgrade --install”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: helm upgrade dash install, clean: helm upgrade --install"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first”处理成了“If you could just check the sync status first”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I tried to run flux get kustomization but... let me rephrase... if you could just check the sync status first, clean: If you could just check the sync status first"}, {"id": "q007", "category": "format", "question": "output中是否将“git rebase dash i”规范化成了“git rebase -i”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: git rebase dash i, clean: git rebase -i"}, {"id": "q008", "category": "format", "question": "output中是否将“last three commits”规范化成了“last 3 commits”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词", "score": 0}, {"text": "不存在或规范化错误", "score": -1}], "evidence": "oral: last three commits, clean: last 3 commits"}, {"id": "q009", "category": "content", "question": "output中是否保留了“check the sync status”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check the sync status"}, {"id": "q010", "category": "content", "question": "output中是否保留了“skip the a header”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: skip the a header"}]}
{"status": "success", "index": 832, "source_record_id": "assigned_records.jsonl:20788", "source_line": 832, "audio": "audio/tech__assigned_recordsjsonl20788.wav", "scene": "tech", "language": "en", "oral": "Hey, I need to benchmark these two caching strategies. It's more like comparing throughput efficiency than just latency, you know? I'm seeing some weird spikes in Grafana Loki, and uh, I keep hitting a four hundred nine Conflict when I scale up worker-processes. Oh, wait, make that eight worker-processes. Also, the trivy scan is failing with Exit Code one hundred thirty seven, so it's probably OOM. Can you help me figure out which strategy handles this better?", "clean": "Hey, I need to benchmark these two caching strategies. It's more comparing throughput efficiency than just latency. I'm seeing some weird spikes in Grafana Loki, and I keep hitting a 409 Conflict when I scale up 8 worker-processes. Also, the Trivy scan is failing with Exit Code 137, so it's probably OOM. Can you help me figure out which strategy handles this better?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“benchmark these two caching strategies”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "I need to benchmark these two caching strategies."}, {"id": "q002", "category": "content", "question": "output中是否保留了“throughput efficiency”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "comparing throughput efficiency than just latency"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Grafana Loki”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "weird spikes in Grafana Loki"}, {"id": "q004", "category": "format", "question": "output中是否将“four hundred nine”规范化成了“409”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four hundred nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "hitting a four hundred nine Conflict -> hitting a 409 Conflict"}, {"id": "q005", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "the trivy scan -> the Trivy scan"}, {"id": "q006", "category": "format", "question": "output中是否将“one hundred thirty seven”规范化成了“137”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred thirty seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Exit Code one hundred thirty seven -> Exit Code 137"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "you know?, uh"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“worker-processes. Oh, wait, make that eight worker-processes”处理成了“8 worker-processes”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "scale up worker-processes. Oh, wait, make that eight worker-processes. -> scale up 8 worker-processes."}, {"id": "q009", "category": "content", "question": "output中是否保留了“OOM”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "so it's probably OOM"}]}
{"status": "success", "index": 834, "source_record_id": "assigned_records.jsonl:20842", "source_line": 833, "audio": "audio/tech__assigned_recordsjsonl20842.wav", "scene": "tech", "language": "en", "oral": "So I've been looking at our setup on Cloudflare and some of the Google Cloud Spanner instances. I noticed we had some ImagePullBackOff errors on a few pods... oh wait, not ImagePullBackOff, it was CrashLoopBackOff. Anyway, I tried to trigger an ArgoCD app sync, an ArgoCD app sync to see if it clears up, but the memory usage just keeps climbing. I think, how should I put it, I think the memory leak leak is happening in the connection pool logic.", "clean": "So I've been looking at our setup on Cloudflare and some of the Google Cloud Spanner instances. I noticed we had some CrashLoopBackOff errors on a few pods. Anyway, I tried to trigger an ArgoCD app sync to see if it clears up, but the memory usage just keeps climbing. I think the memory leak is happening in the connection pool logic.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“connection pool logic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the connection pool logic"}, {"id": "q002", "category": "content", "question": "output中是否保留了“memory usage just keeps climbing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the memory usage just keeps climbing"}, {"id": "q003", "category": "format", "question": "output中是否将“crashloopbackoff”或类似发音规范化成了“CrashLoopBackOff”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或全小写", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "CrashLoopBackOff"}, {"id": "q004", "category": "format", "question": "output中是否将“argocd”或类似发音规范化成了“ArgoCD”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在原词或全小写", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "ArgoCD"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oh wait, an ArgoCD app sync, an ArgoCD app sync, leak leak, how should I put it"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“ImagePullBackOff... oh wait, not ImagePullBackOff, it was CrashLoopBackOff”处理成了“CrashLoopBackOff”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "ImagePullBackOff errors on a few pods... oh wait, not ImagePullBackOff, it was CrashLoopBackOff"}]}
{"status": "success", "index": 836, "source_record_id": "assigned_records.jsonl:21286", "source_line": 837, "audio": "audio/tech__assigned_recordsjsonl21286.wav", "scene": "tech", "language": "en", "oral": "Hey, I got this slow query on Amazon Aurora that is just killing performance. I'm not totally sure but I think it might be related to some cluster-visibility issues, uh, maybe combined with how we configured the Cloudflare Tunnel. Wait, I checked the logs and it is not the tunnel, oh no, it is actually the database indexing. Anyway, I already ran istioctl analyze and scanned everything with trivy, but the latency is still over five hundred milliseconds. Can you help me optimize the join logic?", "clean": "Hey, I got this slow query on Amazon Aurora that is just killing performance. I'm not totally sure but I think it might be related to some cluster-visibility issues, maybe combined with how we configured the Cloudflare Tunnel. I checked the logs and it is actually the database indexing. Anyway, I already ran istioctl analyze and scanned everything with Trivy, but the latency is still over 500 milliseconds. Can you help me optimize the join logic?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“slow query on Amazon Aurora”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: slow query on Amazon Aurora"}, {"id": "q002", "category": "content", "question": "output中是否保留了“cluster-visibility issues”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: cluster-visibility issues"}, {"id": "q003", "category": "content", "question": "output中是否保留了“database indexing”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: database indexing"}, {"id": "q004", "category": "content", "question": "output中是否保留了“istioctl analyze”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: istioctl analyze"}, {"id": "q005", "category": "content", "question": "output中是否保留了“optimize the join logic”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: optimize the join logic"}, {"id": "q006", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: trivy, clean: Trivy"}, {"id": "q007", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在该词或规范化结果", "score": -1}], "evidence": "oral: five hundred, clean: 500"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“Wait, I checked the logs and it is not the tunnel, oh no, it is actually”处理成了“I checked the logs and it is actually”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Wait, I checked the logs and it is not the tunnel, oh no, it is actually, clean: I checked the logs and it is actually"}]}
{"status": "success", "index": 838, "source_record_id": "assigned_records.jsonl:21456", "source_line": 843, "audio": "audio/tech__assigned_recordsjsonl21456.wav", "scene": "tech", "language": "en", "oral": "Actually, use curl dash d... oh no, curl dash k for docs.", "clean": "Use curl -k for docs.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“curl”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Use curl -k for docs."}, {"id": "q002", "category": "content", "question": "output中是否存在“docs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Use curl -k for docs."}, {"id": "q003", "category": "format", "question": "output中是否将“dash k”规范化成了“-k”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash k”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: curl dash k; clean: curl -k"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Actually, oh no"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“curl dash d... oh no, curl dash k”处理成了“curl -k”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: curl dash d... oh no, curl dash k; clean: curl -k"}]}
{"status": "success", "index": 835, "source_record_id": "assigned_records.jsonl:20867", "source_line": 834, "audio": "audio/tech__assigned_recordsjsonl20867.wav", "scene": "tech", "language": "en", "oral": "Hey, can you write some integration tests for this endpoint? I need it to be more like a full end to end flow than just simple mocking. Just, uh, make sure it covers the Amazon Aurora connection and gcloud pubsub triggers. Also, we need to simulate a five hundred Internal Server Error when idle timeout hits. Oh and let's check if Datadog picks up the trace, right?", "clean": "Hey, can you write some integration tests for this endpoint? I need it to be more like a full end-to-end flow than just simple mocking. Just make sure it covers the Amazon Aurora connection and gcloud Pub/Sub triggers. Also, we need to simulate a 500 Internal Server Error when idle timeout hits. Oh and let's check if Datadog picks up the trace, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“end to end”规范化成了“end-to-end”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“end to end”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: end to end, clean: end-to-end"}, {"id": "q002", "category": "format", "question": "output中是否将“gcloud pubsub”规范化成了“gcloud Pub/Sub”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“gcloud pubsub”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: gcloud pubsub, clean: gcloud Pub/Sub"}, {"id": "q003", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: five hundred, clean: 500"}, {"id": "q004", "category": "format", "question": "output中是否将“Internal Server Error”保留了首字母大写的格式？", "options": [{"text": "保留了首字母大写格式", "score": 1}, {"text": "没有保留首字母大写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Internal Server Error, clean: Internal Server Error"}, {"id": "q005", "category": "format", "question": "output中是否将“Datadog”保留了首字母大写的格式？", "options": [{"text": "保留了首字母大写格式", "score": 1}, {"text": "没有保留首字母大写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Datadog, clean: Datadog"}, {"id": "q006", "category": "format", "question": "output中是否将“Amazon Aurora”保留了首字母大写的格式？", "options": [{"text": "保留了首字母大写格式", "score": 1}, {"text": "没有保留首字母大写格式但存在该词", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "oral: Amazon Aurora, clean: Amazon Aurora"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Just, uh, make sure, clean: Just make sure"}, {"id": "q008", "category": "content", "question": "output中是否存在“integration tests”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: integration tests"}, {"id": "q009", "category": "content", "question": "output中是否存在“endpoint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: endpoint"}, {"id": "q010", "category": "content", "question": "output中是否存在“simple mocking”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: simple mocking"}, {"id": "q011", "category": "content", "question": "output中是否存在“connection”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: connection"}, {"id": "q012", "category": "content", "question": "output中是否存在“triggers”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: triggers"}, {"id": "q013", "category": "content", "question": "output中是否存在“idle timeout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: idle timeout"}, {"id": "q014", "category": "content", "question": "output中是否存在“picks up the trace”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: picks up the trace"}]}
{"status": "success", "index": 837, "source_record_id": "assigned_records.jsonl:21097", "source_line": 835, "audio": "audio/tech__assigned_recordsjsonl21097.wav", "scene": "tech", "language": "en", "oral": "Hey can you help me port this bash script to a Python CLI tool. I need it to parse /var/log/syslog and then... uh... maybe instead of just grep... let's say it should filter for five hundred Internal Server Error. Also need to add a configurable buffer size... say like four thousand ninety six bytes. Plus it should... wait... actually... if we could integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync when it finds an error. Hope this makes sense and let me know if you need more context to get it right.", "clean": "Hey, can you help me port this bash script to a Python CLI tool? I need it to parse /var/log/syslog and then it should filter for 500 Internal Server Error. Also need to add a configurable buffer size, say 4096 bytes. Plus it should trigger an ArgoCD app sync when it finds an error. Hope this makes sense and let me know if you need more context to get it right.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“port this bash script to a Python CLI tool”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "port this bash script to a Python CLI tool"}, {"id": "q002", "category": "content", "question": "output中是否保留了“parse /var/log/syslog”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "parse /var/log/syslog"}, {"id": "q003", "category": "content", "question": "output中是否保留了“Internal Server Error”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Internal Server Error"}, {"id": "q004", "category": "content", "question": "output中是否保留了“configurable buffer size”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "configurable buffer size"}, {"id": "q005", "category": "content", "question": "output中是否保留了“app sync”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "app sync"}, {"id": "q006", "category": "content", "question": "output中是否保留了“when it finds an error”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "when it finds an error"}, {"id": "q007", "category": "format", "question": "output中是否将“five hundred”规范化成了“500”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred -> 500"}, {"id": "q008", "category": "format", "question": "output中是否将“four thousand ninety six”规范化成了“4096”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“four thousand ninety six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "four thousand ninety six -> 4096"}, {"id": "q009", "category": "format", "question": "output中是否将专有名词正确拼写为“ArgoCD”？", "options": [{"text": "正确拼写为“ArgoCD”", "score": 1}, {"text": "拼写为“argocd”或其他未规范大小写的形式", "score": 0}, {"text": "缺失或拼写错误", "score": -1}], "evidence": "ArgoCD"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, wait, actually, how should I put it"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“maybe instead of just grep... let's say it should filter for”处理成了“filter for”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "maybe instead of just grep... let's say it should filter for -> filter for"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync”处理成了“trigger an ArgoCD app sync”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "integrate it with k9s or... how should I put it... basically just trigger an ArgoCD app sync -> trigger an ArgoCD app sync"}]}
{"status": "success", "index": 840, "source_record_id": "assigned_records.jsonl:21336", "source_line": 838, "audio": "audio/tech__assigned_recordsjsonl21336.wav", "scene": "tech", "language": "en", "oral": "Hey, I want you to scan my source code and generate API documentation from comments. I am not totally sure but I think... I think we need to adjust heap-size and buffer-size, maybe set heap-size to two gigabytes. We are using Amazon Aurora for database, and... wait... if we just use... how should I put this... if we use pulumi up to deploy, it might trigger a restart. Also check the az network vnet configuration. Make sure the config is correct so it can reach the server. I think we need to check check the network routes again.", "clean": "Hey, I want you to scan my source code and generate API documentation from comments. I am not totally sure but I think we need to adjust heap-size and buffer-size, maybe set heap-size to 2GB. We are using Amazon Aurora for database, and if we use pulumi up to deploy, it might trigger a restart. Also check the Azure network VNet configuration. Make sure the config is correct so it can reach the server. I think we need to check the network routes again.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I think... I think, check check, wait, how should I put this"}, {"id": "q002", "category": "format", "question": "output中是否将“two gigabytes”规范化成了“2GB”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two gigabytes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two gigabytes -> 2GB"}, {"id": "q003", "category": "format", "question": "output中是否将“az network vnet”规范化成了“Azure network VNet”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“az network vnet”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "az network vnet -> Azure network VNet"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“if we just use... how should I put this... if we use”处理成了“if we use”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "if we just use... how should I put this... if we use -> if we use"}, {"id": "q005", "category": "content", "question": "output中是否存在“scan my source code and generate API documentation”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "scan my source code and generate API documentation"}, {"id": "q006", "category": "content", "question": "output中是否存在“adjust heap-size and buffer-size”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "adjust heap-size and buffer-size"}, {"id": "q007", "category": "content", "question": "output中是否存在“Amazon Aurora”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Amazon Aurora"}, {"id": "q008", "category": "content", "question": "output中是否存在“trigger a restart”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "trigger a restart"}]}
{"status": "success", "index": 839, "source_record_id": "assigned_records.jsonl:21374", "source_line": 840, "audio": "audio/tech__assigned_recordsjsonl21374.wav", "scene": "tech", "language": "en", "oral": "I checked helm list and saw the pod crashing. I tried wget dash dash spider... oh wait, wget dash dash header to check the endpoint, but it failed. I might need to run terraform destroy... no, terraform apply to reset everything. I'll update the config using aws ssm put parameter. Does that sound right to you, or should I check the logs first in the new cluster?", "clean": "I checked helm list and saw the pod crashing. I tried wget --header to check the endpoint, but it failed. I might need to run terraform apply to reset everything. I'll update the config using aws ssm put-parameter. Does that sound right to you, or should I check the logs first in the new cluster?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"oh wait\", \"no\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“wget dash dash spider... oh wait, wget dash dash header”处理成了“wget --header”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"wget dash dash spider... oh wait, wget dash dash header\", clean: \"wget --header\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“terraform destroy... no, terraform apply”处理成了“terraform apply”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"terraform destroy... no, terraform apply\", clean: \"terraform apply\""}, {"id": "q004", "category": "format", "question": "output中是否将“dash dash”规范化成了“--”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"dash dash\", clean: \"--\""}, {"id": "q005", "category": "format", "question": "output中是否将“put parameter”规范化成了“put-parameter”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“put parameter”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"put parameter\", clean: \"put-parameter\""}, {"id": "q006", "category": "content", "question": "output中是否存在“helm list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"helm list\""}, {"id": "q007", "category": "content", "question": "output中是否存在“pod crashing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"pod crashing\""}, {"id": "q008", "category": "content", "question": "output中是否存在“check the endpoint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"check the endpoint\""}, {"id": "q009", "category": "content", "question": "output中是否存在“reset everything”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"reset everything\""}, {"id": "q010", "category": "content", "question": "output中是否存在“update the config”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"update the config\""}, {"id": "q011", "category": "content", "question": "output中是否存在“check the logs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"check the logs\""}, {"id": "q012", "category": "content", "question": "output中是否存在“new cluster”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"new cluster\""}]}
{"status": "success", "index": 841, "source_record_id": "assigned_records.jsonl:21271", "source_line": 836, "audio": "audio/tech__assigned_recordsjsonl21271.wav", "scene": "tech", "language": "en", "oral": "Hey Claude, uh, I got this messy script for gcloud container clusters and it needs a serious cleanup. It is... wait, actually... let me rephrase, it is basically a disaster. Like, it tries to check the liveness-probe by digging into /etc/kubernetes/ and then it just fails with ImagePullBackOff... just totally randomly, you know? I want to stop doing docker exec -it on every single node, so, uh, can you refactor this into some clean Python logic, maybe? I think it would be better, right?", "clean": "Hey Claude, I got this messy script for gcloud container clusters and it needs a serious cleanup. It is a disaster. It tries to check the liveness-probe by digging into /etc/kubernetes/ and then it just fails with ImagePullBackOff totally randomly. I want to stop doing docker exec -it on every single node, so can you refactor this into some clean Python logic, maybe? I think it would be better, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“gcloud container clusters”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"gcloud container clusters\""}, {"id": "q002", "category": "content", "question": "output中是否存在“Python”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"Python\""}, {"id": "q003", "category": "format", "question": "output中是否将“/etc/kubernetes/”保留了正确的斜杠和路径格式？", "options": [{"text": "保留了正确的斜杠和路径格式", "score": 1}, {"text": "没有保留正确的格式但存在该路径的读音", "score": 0}, {"text": "不存在该路径或格式错误", "score": -1}], "evidence": "clean: \"/etc/kubernetes/\""}, {"id": "q004", "category": "format", "question": "output中是否将“ImagePullBackOff”保留了正确的驼峰命名大小写格式？", "options": [{"text": "保留了正确的驼峰命名大小写格式", "score": 1}, {"text": "没有保留正确的大小写但存在该词的读音", "score": 0}, {"text": "不存在该词或大小写错误", "score": -1}], "evidence": "clean: \"ImagePullBackOff\""}, {"id": "q005", "category": "format", "question": "output中是否将“liveness-probe”保留了正确的连字符格式？", "options": [{"text": "保留了正确的连字符格式", "score": 1}, {"text": "没有保留连字符但存在该词的读音", "score": 0}, {"text": "不存在该词或连字符错误", "score": -1}], "evidence": "clean: \"liveness-probe\""}, {"id": "q006", "category": "format", "question": "output中是否将“docker exec -it”保留了正确的连字符格式？", "options": [{"text": "保留了正确的连字符格式", "score": 1}, {"text": "没有保留连字符但存在该命令的读音", "score": 0}, {"text": "不存在该命令或连字符错误", "score": -1}], "evidence": "clean: \"docker exec -it\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"uh\", \"wait, actually... let me rephrase\", \"Like,\", \"you know?\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“It is... wait, actually... let me rephrase, it is basically a disaster.”处理成了“It is a disaster.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"It is... wait, actually... let me rephrase, it is basically a disaster.\" clean: \"It is a disaster.\""}]}
{"status": "success", "index": 842, "source_record_id": "assigned_records.jsonl:21429", "source_line": 842, "audio": "audio/tech__assigned_recordsjsonl21429.wav", "scene": "tech", "language": "en", "oral": "Hey, can you refactor this function? It's more like a messy terraform plan than clean code. Um, it's like... just a giant list of az group create... oh no, az webapp deploy calls. I mean... it's more like a shell script with ssh dash i and docker ps, just... way too cluttered.", "clean": "Hey, can you refactor this function? It's more like a messy Terraform plan than clean code. It's just a giant list of az webapp deploy calls. It's more like a shell script with ssh -i and docker ps, just way too cluttered.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“refactor this function”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Hey, can you refactor this function?"}, {"id": "q002", "category": "content", "question": "output中是否保留了“clean code”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "than clean code"}, {"id": "q003", "category": "content", "question": "output中是否保留了“giant list”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "just a giant list of"}, {"id": "q004", "category": "content", "question": "output中是否保留了“shell script”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "it's more like a shell script"}, {"id": "q005", "category": "content", "question": "output中是否保留了“docker ps”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "and docker ps"}, {"id": "q006", "category": "content", "question": "output中是否保留了“way too cluttered”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "just... way too cluttered"}, {"id": "q007", "category": "format", "question": "output中是否将“terraform”规范化成了首字母大写的“Terraform”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“terraform”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "messy terraform plan -> messy Terraform plan"}, {"id": "q008", "category": "format", "question": "output中是否将“ssh dash i”规范化成了“ssh -i”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh dash i”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "ssh dash i -> ssh -i"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Um, it's like... oh no, I mean..."}, {"id": "q010", "category": "rephrase", "question": "output中是否将“az group create... oh no, az webapp deploy calls”处理成了“az webapp deploy calls”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "az group create... oh no, az webapp deploy calls -> az webapp deploy calls"}]}
{"status": "success", "index": 845, "source_record_id": "assigned_records.jsonl:21858", "source_line": 846, "audio": "audio/tech__assigned_recordsjsonl21858.wav", "scene": "tech", "language": "en", "oral": "Hmm it's more like a leak during helm upgrade dash dash install than a fresh helm install. The id id from jq dot items bracket zero bracket dot id is climbing, climbing way too fast.", "clean": "It's more like a leak during helm upgrade --install than a fresh helm install. The id from jq .items[0].id is climbing way too fast.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Hmm, id id, climbing, climbing"}, {"id": "q002", "category": "format", "question": "output中是否将“dash dash install”规范化成了“--install”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash install”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "dash dash install -> --install"}, {"id": "q003", "category": "format", "question": "output中是否将“jq dot items bracket zero bracket dot id”规范化成了“jq .items[0].id”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“jq dot items bracket zero bracket dot id”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "jq dot items bracket zero bracket dot id -> jq .items[0].id"}, {"id": "q004", "category": "content", "question": "output中是否存在“more like a leak”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "more like a leak"}, {"id": "q005", "category": "content", "question": "output中是否存在“during helm upgrade”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "during helm upgrade"}, {"id": "q006", "category": "content", "question": "output中是否存在“fresh helm install”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "fresh helm install"}, {"id": "q007", "category": "content", "question": "output中是否存在“climbing way too fast”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "climbing way too fast"}]}
{"status": "success", "index": 843, "source_record_id": "assigned_records.jsonl:21337", "source_line": 839, "audio": "audio/tech__assigned_recordsjsonl21337.wav", "scene": "tech", "language": "en", "oral": "Hey, can you help me write some integration tests for the new endpoint? I'm not totally sure but I think we need to mock the Apache Kafka producer, mock the Apache Kafka producer to avoid hitting the actual broker. Also, we should check if the message reaches gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS for the final state check. And I want to make sure the pipeline includes a trivy image scan, includes a trivy image scan before we deploy through Cloudflare Tunnel. Can you use port eight thousand eight hundred eighty eight for the local setup?", "clean": "Hey, can you help me write some integration tests for the new endpoint? I'm not totally sure but I think we need to mock the Apache Kafka producer to avoid hitting the actual broker. Also, we should check if the message reaches Amazon RDS for the final state check. And I want to make sure the pipeline includes a Trivy image scan before we deploy through Cloudflare Tunnel. Can you use port 8888 for the local setup?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“integration tests for the new endpoint”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "write some integration tests for the new endpoint"}, {"id": "q002", "category": "content", "question": "output中是否保留了“mock the Apache Kafka producer”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "mock the Apache Kafka producer"}, {"id": "q003", "category": "content", "question": "output中是否保留了“avoid hitting the actual broker”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "avoid hitting the actual broker"}, {"id": "q004", "category": "format", "question": "output中是否将“eight thousand eight hundred eighty eight”规范化成了“8888”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight thousand eight hundred eighty eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "port eight thousand eight hundred eighty eight -> port 8888"}, {"id": "q005", "category": "format", "question": "output中是否将“trivy”规范化成了首字母大写的“Trivy”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“trivy”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "trivy image scan -> Trivy image scan"}, {"id": "q006", "category": "format", "question": "output中是否保留了首字母大写的专有名词“Cloudflare Tunnel”？", "options": [{"text": "保留了“Cloudflare Tunnel”", "score": 1}, {"text": "存在但大小写错误如“cloudflare tunnel”", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Cloudflare Tunnel"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "mock the Apache Kafka producer, mock the Apache Kafka producer; includes a trivy image scan, includes a trivy image scan"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS”处理成了“Amazon RDS”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "reaches gcloud pubsub. Wait, oh no, it's not pubsub, it's Amazon RDS -> reaches Amazon RDS"}]}
{"status": "success", "index": 846, "source_record_id": "assigned_records.jsonl:21716", "source_line": 845, "audio": "audio/tech__assigned_recordsjsonl21716.wav", "scene": "tech", "language": "en", "oral": "Actually it is not just adding a column but splitting the table, so please write a migration script where I can check logs using ssh minus v or verify checksums with openssl dgst dash sha two hundred fifty six after I run docker volume ls to confirm the data paths.", "clean": "Actually it is not just adding a column but splitting the table, so please write a migration script where I can check logs using ssh -v or verify checksums with openssl dgst -sha256 after I run docker volume ls to confirm the data paths.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually it is not just adding a column but splitting the table, so please write a migration script where I can check logs using ssh minus v or verify checksums with openssl dgst dash sha two hundred fifty six after I run docker volume ls to confirm the data paths."}, {"id": "q002", "category": "format", "question": "output中是否将“ssh minus v”规范化成了“ssh -v”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh minus v”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ssh minus v -> clean: ssh -v"}, {"id": "q003", "category": "format", "question": "output中是否将“openssl dgst dash sha two hundred fifty six”规范化成了“openssl dgst -sha256”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl dgst dash sha two hundred fifty six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: openssl dgst dash sha two hundred fifty six -> clean: openssl dgst -sha256"}, {"id": "q004", "category": "content", "question": "output中是否存在“splitting the table”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: splitting the table"}, {"id": "q005", "category": "content", "question": "output中是否存在“write a migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: write a migration script"}, {"id": "q006", "category": "content", "question": "output中是否存在“verify checksums”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: verify checksums"}, {"id": "q007", "category": "content", "question": "output中是否存在“docker volume ls”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: docker volume ls"}]}
{"status": "success", "index": 844, "source_record_id": "assigned_records.jsonl:21388", "source_line": 841, "audio": "audio/tech__assigned_recordsjsonl21388.wav", "scene": "tech", "language": "en", "oral": "Uh, I need to sync the monitoring rules. It is more like... uh... debugging the infrastructure flow than just writing a config. So, let us start by running helm list to see what is deployed, then maybe a curl dash v to check the health endpoint. Oh, I should probably use ssh dash P... no, wait, not P, it is ssh dash N for the tunnel. After that, I will run terraform output to grab the load balancer I P and then, uh, terraform apply to push the changes. I think we need to set the threshold to eighty percent... oh no, not eighty, it is ninety five percent for the critical alert. Does that sound right?", "clean": "I need to sync the monitoring rules. It is more like debugging the infrastructure flow than just writing a config. So, let us start by running helm list to see what is deployed, then maybe a curl -v to check the health endpoint. I should probably use ssh -N for the tunnel. After that, I will run terraform output to grab the load balancer IP and then terraform apply to push the changes. I think we need to set the threshold to 95% for the critical alert. Does that sound right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Uh', 'uh', 'Oh'"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“ssh dash P... no, wait, not P, it is ssh dash N”处理成了“ssh -N”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'ssh dash P... no, wait, not P, it is ssh dash N'; clean: 'ssh -N'"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“eighty percent... oh no, not eighty, it is ninety five percent”处理成了“95%”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'eighty percent... oh no, not eighty, it is ninety five percent'; clean: '95%'"}, {"id": "q004", "category": "format", "question": "output中是否将“curl dash v”规范化成了“curl -v”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“curl dash v”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'curl dash v'; clean: 'curl -v'"}, {"id": "q005", "category": "format", "question": "output中是否将“load balancer I P”规范化成了“load balancer IP”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“load balancer I P”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'load balancer I P'; clean: 'load balancer IP'"}, {"id": "q006", "category": "content", "question": "output中是否存在“sync the monitoring rules”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'sync the monitoring rules'"}, {"id": "q007", "category": "content", "question": "output中是否存在“debugging the infrastructure flow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'debugging the infrastructure flow'"}, {"id": "q008", "category": "content", "question": "output中是否存在“helm list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'helm list'"}, {"id": "q009", "category": "content", "question": "output中是否存在“terraform apply”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'terraform apply'"}, {"id": "q010", "category": "content", "question": "output中是否存在“critical alert”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'critical alert'"}]}
{"status": "success", "index": 848, "source_record_id": "assigned_records.jsonl:22020", "source_line": 849, "audio": "audio/tech__assigned_recordsjsonl22020.wav", "scene": "tech", "language": "en", "oral": "Wait, I thought terraform output would show the error, but it actually just shows state. Actually, actually, I need to check docker volume ls first, then maybe kubectl get pods, huh. Let me try git rebase dash i to clean up, or maybe curl dash u with user credentials, user credentials, maybe that works, right?", "clean": "I thought terraform output would show the error, but it actually just shows state. I need to check docker volume ls first, then maybe kubectl get pods. Let me try git rebase -i to clean up, or maybe curl -u with user credentials, maybe that works, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Wait, Actually, actually, huh, user credentials, user credentials"}, {"id": "q002", "category": "format", "question": "output中是否将“git rebase dash i”规范化成了“git rebase -i”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“git rebase dash i”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "git rebase dash i -> git rebase -i"}, {"id": "q003", "category": "format", "question": "output中是否将“curl dash u”规范化成了“curl -u”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“curl dash u”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "curl dash u -> curl -u"}, {"id": "q004", "category": "content", "question": "output中是否存在“terraform output”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "terraform output"}, {"id": "q005", "category": "content", "question": "output中是否存在“docker volume ls”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "docker volume ls"}, {"id": "q006", "category": "content", "question": "output中是否存在“kubectl get pods”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "kubectl get pods"}]}
{"status": "success", "index": 849, "source_record_id": "assigned_records.jsonl:22054", "source_line": 850, "audio": "audio/tech__assigned_recordsjsonl22054.wav", "scene": "tech", "language": "en", "oral": "My lead said just run kubectl delete namespace... uh no, kubectl get namespace first, then... I mean... just use az vm create and ssh-keygen dash t ed two five five one nine, plus openssl req dash new and openssl pkey, you know? Now write tests for that endpoint, okay?", "clean": "My lead said just run kubectl get namespace first, then just use az vm create and ssh-keygen -t ed25519, plus openssl req -new and openssl pkey. Now write tests for that endpoint, okay?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“kubectl delete namespace... uh no, kubectl get namespace first”处理成了“kubectl get namespace first”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: kubectl delete namespace... uh no, kubectl get namespace first; clean: kubectl get namespace first"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh no, I mean, you know?; clean: (deleted)"}, {"id": "q003", "category": "format", "question": "output中是否将“ssh-keygen dash t ed two five five one nine”规范化成了“ssh-keygen -t ed25519”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh-keygen dash t ed two five five one nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ssh-keygen dash t ed two five five one nine; clean: ssh-keygen -t ed25519"}, {"id": "q004", "category": "format", "question": "output中是否将“openssl req dash new”规范化成了“openssl req -new”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl req dash new”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: openssl req dash new; clean: openssl req -new"}, {"id": "q005", "category": "content", "question": "output中是否存在“just run”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: just run"}, {"id": "q006", "category": "content", "question": "output中是否存在“az vm create”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: az vm create"}, {"id": "q007", "category": "content", "question": "output中是否存在“openssl pkey”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: openssl pkey"}, {"id": "q008", "category": "content", "question": "output中是否存在“write tests for that endpoint”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: write tests for that endpoint"}]}
{"status": "success", "index": 850, "source_record_id": "assigned_records.jsonl:22161", "source_line": 851, "audio": "audio/tech__assigned_recordsjsonl22161.wav", "scene": "tech", "language": "en", "oral": "I want to start by az group create, az group create a new resource group. Then use openssl req dash new for certificates, oh no, use az keyvault secret set instead. Then I'll check kubectl get events, kubectl get events to see if it's running. Does that sound like a good plan?", "clean": "I want to start by az group create a new resource group. Then use az keyvault secret set instead. Then I'll check kubectl get events to see if it's running. Does that sound like a good plan?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "az group create, az group create; kubectl get events, kubectl get events"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“openssl req dash new for certificates, oh no, use az keyvault secret set instead”处理成了“az keyvault secret set”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "use openssl req dash new for certificates, oh no, use az keyvault secret set instead -> use az keyvault secret set instead"}, {"id": "q003", "category": "content", "question": "output中是否存在“az group create”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "az group create"}, {"id": "q004", "category": "content", "question": "output中是否存在“a new resource group”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "a new resource group"}, {"id": "q005", "category": "content", "question": "output中是否存在“kubectl get events”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "kubectl get events"}, {"id": "q006", "category": "content", "question": "output中是否存在“to see if it's running”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "to see if it's running"}, {"id": "q007", "category": "content", "question": "output中是否存在“Does that sound like a good plan?”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Does that sound like a good plan?"}]}
{"status": "success", "index": 847, "source_record_id": "assigned_records.jsonl:21572", "source_line": 844, "audio": "audio/tech__assigned_recordsjsonl21572.wav", "scene": "tech", "language": "en", "oral": "Wait, do I need to manually handle the state for this database schema change? Actually, I think it's better if we just automate it. So, uh, I already did the terraform init and ran aws iam create user to set up permissions. Now I need a migration script because I am about to do a git merge into main. After that, I will probably run helm upgrade dash dash values for the config, and then maybe helm upgrade dash dash atomic to make sure it rolls back if it fails. Can you write that script for me, please?", "clean": "Do I need to manually handle the state for this database schema change? I think it's better if we just automate it. I already did the terraform init and ran aws iam create user to set up permissions. Now I need a migration script because I am about to do a git merge into main. After that, I will probably run helm upgrade --values for the config, and then maybe helm upgrade --atomic to make sure it rolls back if it fails. Can you write that script for me, please?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Wait, Actually, So, uh"}, {"id": "q002", "category": "format", "question": "output中是否将“dash dash values”规范化成了“--values”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash values”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "dash dash values -> --values"}, {"id": "q003", "category": "format", "question": "output中是否将“dash dash atomic”规范化成了“--atomic”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash atomic”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "dash dash atomic -> --atomic"}, {"id": "q004", "category": "content", "question": "output中是否存在“database schema change”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "database schema change"}, {"id": "q005", "category": "content", "question": "output中是否存在“terraform init”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "terraform init"}, {"id": "q006", "category": "content", "question": "output中是否存在“aws iam create user”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "aws iam create user"}, {"id": "q007", "category": "content", "question": "output中是否存在“git merge into main”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "git merge into main"}, {"id": "q008", "category": "content", "question": "output中是否存在“migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "migration script"}]}
{"status": "success", "index": 853, "source_record_id": "assigned_records.jsonl:21981", "source_line": 848, "audio": "audio/tech__assigned_recordsjsonl21981.wav", "scene": "tech", "language": "en", "oral": "Hey, can you help me add authentication middleware to my Express app? I need it to parse the token from a response using jq minus r... wait, no, using jq map dot name. I was trying to run terraform validate and then git stash pop to get my changes back... I mean... if we could just... maybe integrate it so I can check the bucket with aws s3 ls. I need to run the run the script and... and the script should check the user roles... oh not roles, the user permissions for the five hundred twelve endpoints.", "clean": "Hey, can you help me add authentication middleware to my Express app? I need it to parse the token from a response using jq map .name. I was trying to run terraform validate and then git stash pop to get my changes back, if we could just integrate it so I can check the bucket with aws s3 ls. I need to run the script and the script should check the user permissions for the 512 endpoints.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“authentication middleware”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "add authentication middleware"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Express app”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Express app"}, {"id": "q003", "category": "format", "question": "output中是否将“jq map dot name”规范化成了“jq map .name”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“jq map dot name”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "jq map dot name -> jq map .name"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“user roles... oh not roles, the user permissions”处理成了“user permissions”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "user roles... oh not roles, the user permissions -> user permissions"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I mean... if we could just... maybe, run the run the, and... and"}, {"id": "q006", "category": "format", "question": "output中是否将“five hundred twelve”规范化成了“512”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five hundred twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "five hundred twelve -> 512"}, {"id": "q007", "category": "content", "question": "output中是否保留了“terraform validate”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "terraform validate"}, {"id": "q008", "category": "content", "question": "output中是否保留了“git stash pop”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "git stash pop"}, {"id": "q009", "category": "content", "question": "output中是否保留了“aws s3 ls”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "aws s3 ls"}]}
{"status": "success", "index": 851, "source_record_id": "assigned_records.jsonl:21899", "source_line": 847, "audio": "audio/tech__assigned_recordsjsonl21899.wav", "scene": "tech", "language": "en", "oral": "Honestly, I think we have a memory leak... a memory leak in the pod. I tried docker build, then... how should I put it... I ran helm upgrade dash dash atomic. Wait, I meant helm upgrade dash dash install, no, it was atomic. I used aws ssm put parameter to update config, but the pods keep crashing. I tried ssh dash L to tunnel in... tunnel in and ran aws rds describe dash db dash instances to check connection. I think the memory usage is... is getting higher and higher in the new system.", "clean": "Honestly, I think we have a memory leak in the pod. I tried docker build, then I ran helm upgrade --atomic. I used aws ssm put-parameter to update config, but the pods keep crashing. I tried ssh -L to tunnel in and ran aws rds describe-db-instances to check connection. I think the memory usage is getting higher and higher in the new system.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“pod中的内存泄漏”（memory leak in the pod）这一语义？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"memory leak in the pod\" / oral: \"memory leak... a memory leak in the pod\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“pods持续崩溃”（pods keep crashing）这一语义？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"pods keep crashing\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“检查连接”（check connection）这一语义？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"check connection\""}, {"id": "q004", "category": "format", "question": "output中是否将“dash dash atomic”规范化成了“--atomic”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash atomic”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"--atomic\" / oral: \"dash dash atomic\""}, {"id": "q005", "category": "format", "question": "output中是否将“put parameter”规范化成了“put-parameter”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“put parameter”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"put-parameter\" / oral: \"put parameter\""}, {"id": "q006", "category": "format", "question": "output中是否将“ssh dash L”规范化成了“ssh -L”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh dash L”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"ssh -L\" / oral: \"ssh dash L\""}, {"id": "q007", "category": "format", "question": "output中是否将“describe dash db dash instances”规范化成了“describe-db-instances”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“describe dash db dash instances”", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "clean: \"describe-db-instances\" / oral: \"describe dash db dash instances\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"...\", \"how should I put it\", \"tunnel in... tunnel in\", \"is... is\""}, {"id": "q009", "category": "rephrase", "question": "output中是否去除了“Wait, I meant helm upgrade dash dash install, no, it was atomic”的纠错过程，并保留了最终结果“helm upgrade --atomic”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: \"helm upgrade --atomic\" / oral: \"helm upgrade dash dash atomic. Wait, I meant helm upgrade dash dash install, no, it was atomic.\""}]}
{"status": "success", "index": 852, "source_record_id": "assigned_records.jsonl:22269", "source_line": 854, "audio": "audio/tech__assigned_recordsjsonl22269.wav", "scene": "tech", "language": "en", "oral": "If terraform validate passes, then we could check helm rollout history or kubectl get events, maybe run helm template and openssl x509 dash in to verify certs.", "clean": "If terraform validate passes, then we could check helm rollout history or kubectl get events, maybe run helm template and openssl x509 -in to verify certs.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“terraform validate passes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: If terraform validate passes"}, {"id": "q002", "category": "content", "question": "output中是否存在“helm rollout history”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check helm rollout history"}, {"id": "q003", "category": "content", "question": "output中是否存在“kubectl get events”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: or kubectl get events"}, {"id": "q004", "category": "content", "question": "output中是否存在“helm template”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: maybe run helm template"}, {"id": "q005", "category": "content", "question": "output中是否存在“verify certs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: to verify certs"}, {"id": "q006", "category": "format", "question": "output中是否将“dash in”规范化成了“-in”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash in”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: dash in, clean: -in"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: If terraform validate passes, then we could check helm rollout history or kubectl get events, maybe run helm template and openssl x509 dash in to verify certs."}]}
{"status": "success", "index": 854, "source_record_id": "assigned_records.jsonl:22248", "source_line": 853, "audio": "audio/tech__assigned_recordsjsonl22248.wav", "scene": "tech", "language": "en", "oral": "Hey, if this bash script still uses docker push... oh wait, not docker pull, then we could rewrite it as Python CLI tool. Like, handle terraform plan, openssl x five hundred nine, and wget dash c, plus that openssl s underscore client dash connect part too.", "clean": "Hey, if this bash script still uses docker push, then we could rewrite it as a Python CLI tool. Handle terraform plan, openssl x509, and wget -c, plus that openssl s_client -connect part too.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Like, handle / oh wait"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“docker push... oh wait, not docker pull”处理成了“docker push”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "docker push... oh wait, not docker pull -> docker push"}, {"id": "q003", "category": "format", "question": "output中是否将“openssl x five hundred nine”规范化成了“openssl x509”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl x five hundred nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "openssl x five hundred nine -> openssl x509"}, {"id": "q004", "category": "format", "question": "output中是否将“wget dash c”规范化成了“wget -c”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“wget dash c”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "wget dash c -> wget -c"}, {"id": "q005", "category": "format", "question": "output中是否将“openssl s underscore client dash connect”规范化成了“openssl s_client -connect”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl s underscore client dash connect”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "openssl s underscore client dash connect -> openssl s_client -connect"}, {"id": "q006", "category": "content", "question": "output中是否存在“bash script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "bash script"}, {"id": "q007", "category": "content", "question": "output中是否存在“Python CLI tool”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Python CLI tool"}, {"id": "q008", "category": "content", "question": "output中是否存在“terraform plan”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "terraform plan"}]}
{"status": "success", "index": 857, "source_record_id": "assigned_records.jsonl:22310", "source_line": 857, "audio": "audio/tech__assigned_recordsjsonl22310.wav", "scene": "tech", "language": "en", "oral": "Need migration script for user table. Need migration script because I gotta git commit dash m then git push origin. Also check gcloud compute instances list and curl dash L the endpoint, then aws secrets manager get secret value for keys.", "clean": "Need migration script for user table. Need migration script because I gotta git commit -m then git push origin. Also check gcloud compute instances list and curl -L the endpoint, then aws secrets manager get secret value for keys.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“migration script for user table”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Need migration script for user table."}, {"id": "q002", "category": "content", "question": "output中是否保留了“git push origin”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "git push origin"}, {"id": "q003", "category": "content", "question": "output中是否保留了“gcloud compute instances list”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "gcloud compute instances list"}, {"id": "q004", "category": "content", "question": "output中是否保留了“aws secrets manager get secret value”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "aws secrets manager get secret value"}, {"id": "q005", "category": "format", "question": "output中是否将“dash m”规范化成了“-m”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash m”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "git commit dash m -> git commit -m"}, {"id": "q006", "category": "format", "question": "output中是否将“dash L”规范化成了“-L”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash L”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "curl dash L -> curl -L"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "无口语词、犹豫词、插入语；“Need migration script”重复但clean中已保留，不属于需过滤的口语重复。"}]}
{"status": "success", "index": 855, "source_record_id": "assigned_records.jsonl:22275", "source_line": 855, "audio": "audio/tech__assigned_recordsjsonl22275.wav", "scene": "tech", "language": "en", "oral": "First I ran terraform workspace select, terraform workspace select to switch env. Then I tried terraform import, wait, I mean I used terraform import to bring in state. Finally I did helm upgrade dash dash install and curl dash k, curl dash k to check, then ssh dash R for tunnel, but memory keep climbing.", "clean": "1. I ran terraform workspace select to switch env.\n2. I used terraform import to bring in state.\n3. I did helm upgrade --install, curl -k to check, then ssh -R for tunnel, but memory keep climbing.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“terraform workspace select”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: terraform workspace select; clean: terraform workspace select"}, {"id": "q002", "category": "format", "question": "output中是否将“First”规范化成了“1.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“First”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: First; clean: 1."}, {"id": "q003", "category": "format", "question": "output中是否将“Then”规范化成了“2.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Then”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Then; clean: 2."}, {"id": "q004", "category": "format", "question": "output中是否将“Finally”规范化成了“3.”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Finally”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: Finally; clean: 3."}, {"id": "q005", "category": "format", "question": "output中是否将“dash dash”规范化成了“--”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash dash”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: dash dash; clean: --"}, {"id": "q006", "category": "format", "question": "output中是否将“dash k”规范化成了“-k”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash k”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: dash k; clean: -k"}, {"id": "q007", "category": "format", "question": "output中是否将“ssh dash R”规范化成了“ssh -R”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh dash R”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ssh dash R; clean: ssh -R"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: terraform workspace select, terraform workspace select; curl dash k, curl dash k; clean: terraform workspace select; curl -k"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“tried terraform import, wait, I mean I used”处理成了“used”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: tried terraform import, wait, I mean I used; clean: used"}, {"id": "q010", "category": "content", "question": "output中是否存在“bring in state”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: bring in state; clean: bring in state"}, {"id": "q011", "category": "content", "question": "output中是否存在“memory keep climbing”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: memory keep climbing; clean: memory keep climbing"}]}
{"status": "success", "index": 856, "source_record_id": "assigned_records.jsonl:22298", "source_line": 856, "audio": "audio/tech__assigned_recordsjsonl22298.wav", "scene": "tech", "language": "en", "oral": "Hey, this SQL query performance is just... uh, it's more like a slow crawl than a quick fetch. I already checked gcloud sql instances list and terraform output, but nothing. Can you optimize it? It feels more like trying to run kubectl describe node on a thousand pods than a simple select.", "clean": "Hey, this SQL query performance is just more like a slow crawl than a quick fetch. I already checked gcloud sql instances list and terraform output, but nothing. Can you optimize it? It feels more like trying to run kubectl describe node on a thousand pods than a simple select.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“SQL query performance”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Hey, this SQL query performance is just..."}, {"id": "q002", "category": "content", "question": "output中是否保留了“slow crawl”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...more like a slow crawl than a quick fetch."}, {"id": "q003", "category": "content", "question": "output中是否保留了“quick fetch”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...more like a slow crawl than a quick fetch."}, {"id": "q004", "category": "content", "question": "output中是否保留了“gcloud sql instances list”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: I already checked gcloud sql instances list..."}, {"id": "q005", "category": "content", "question": "output中是否保留了“terraform output”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...and terraform output, but nothing."}, {"id": "q006", "category": "content", "question": "output中是否保留了“optimize it”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Can you optimize it?"}, {"id": "q007", "category": "content", "question": "output中是否保留了“kubectl describe node”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...trying to run kubectl describe node on a thousand pods..."}, {"id": "q008", "category": "content", "question": "output中是否保留了“thousand pods”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...on a thousand pods than a simple select."}, {"id": "q009", "category": "content", "question": "output中是否保留了“simple select”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: ...than a simple select."}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...just... uh, it's..."}]}
{"status": "success", "index": 858, "source_record_id": "assigned_records.jsonl:22167", "source_line": 852, "audio": "audio/tech__assigned_recordsjsonl22167.wav", "scene": "tech", "language": "en", "oral": "Can you help me clean up this function? Actually, actually I think it needs a full refactor. This block is a mess, it mixes git cherry pick and git rebase dash i logic with cloud commands like az appservice plan create. It even has these raw openssl x five hundred nine and openssl dgst dash s h a two hundred fifty six calls. The logic... the logic is all tangled. I want you to separate the git operations and these openssl commands into different modules. This function is too long, too long for one file.", "clean": "Can you help me clean up this function? I think it needs a full refactor. This block is a mess; it mixes git cherry-pick and git rebase -i logic with cloud commands like az appservice plan create. It even has these raw openssl x509 and openssl dgst -sha256 calls. The logic is all tangled. I want you to separate the git operations and these openssl commands into different modules. This function is too long for one file.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, actually; The logic... the logic; too long, too long"}, {"id": "q002", "category": "format", "question": "output中是否将“git cherry pick”规范化成了“git cherry-pick”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“git cherry pick”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "git cherry pick -> git cherry-pick"}, {"id": "q003", "category": "format", "question": "output中是否将“git rebase dash i”规范化成了“git rebase -i”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“git rebase dash i”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "git rebase dash i -> git rebase -i"}, {"id": "q004", "category": "format", "question": "output中是否将“openssl x five hundred nine”规范化成了“openssl x509”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl x five hundred nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "openssl x five hundred nine -> openssl x509"}, {"id": "q005", "category": "format", "question": "output中是否将“openssl dgst dash s h a two hundred fifty six”规范化成了“openssl dgst -sha256”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“openssl dgst dash s h a two hundred fifty six”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "openssl dgst dash s h a two hundred fifty six -> openssl dgst -sha256"}, {"id": "q006", "category": "content", "question": "output中是否存在“az appservice plan create”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "az appservice plan create"}, {"id": "q007", "category": "content", "question": "output中是否存在“full refactor”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "full refactor"}, {"id": "q008", "category": "content", "question": "output中是否存在“separate the git operations and these openssl commands into different modules”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "separate the git operations and these openssl commands into different modules"}]}
{"status": "success", "index": 860, "source_record_id": "assigned_records.jsonl:24355", "source_line": 860, "audio": "audio/voice_search__assigned_recordsjsonl24355.wav", "scene": "voice_search", "language": "en", "oral": "Hey, check flight status for flight one hundred twenty. I thought it was delayed three and a half hours, oh no, it's just a short delay. Check check the gate. I was looking at... I mean, I was browsing Pinterest and Duolingo and saw some ad for eighty-eight cents, but that's not it. The flight... the flight is departing from terminal two, no, terminal three. Wait, it's departing from terminal three. Is it on time or on time for the gate change? I need to know if it's still at the same gate.", "clean": "Hey, check flight status for flight 120. I thought it was delayed 3.5 hours, no, it's just a short delay. Check the gate. I was browsing Pinterest and Duolingo and saw some ad for $0.88, but that's not it. The flight is departing from terminal 3. Is it on time for the gate change? I need to know if it's still at the same gate.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“one hundred twenty”规范化成了“120”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twenty”或其等价读法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: flight one hundred twenty; clean: flight 120"}, {"id": "q002", "category": "format", "question": "output中是否将“three and a half hours”规范化成了“3.5 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three and a half hours”或其等价读法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: delayed three and a half hours; clean: delayed 3.5 hours"}, {"id": "q003", "category": "format", "question": "output中是否将“eighty-eight cents”规范化成了“$0.88”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty-eight cents”或其等价读法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: ad for eighty-eight cents; clean: ad for $0.88"}, {"id": "q004", "category": "format", "question": "output中是否将“terminal three”规范化成了“terminal 3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“terminal three”或其等价读法", "score": 0}, {"text": "不存在该词或规范化结果错误", "score": -1}], "evidence": "oral: departing from terminal three; clean: departing from terminal 3"}, {"id": "q005", "category": "content", "question": "output中是否存在“flight status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: check flight status; clean: check flight status"}, {"id": "q006", "category": "content", "question": "output中是否存在“short delay”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: it's just a short delay; clean: it's just a short delay"}, {"id": "q007", "category": "content", "question": "output中是否存在“Pinterest”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: browsing Pinterest; clean: browsing Pinterest"}, {"id": "q008", "category": "content", "question": "output中是否存在“Duolingo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: and Duolingo; clean: and Duolingo"}, {"id": "q009", "category": "content", "question": "output中是否存在“same gate”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: at the same gate; clean: at the same gate"}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: oh no, Check check, I was looking at... I mean,, The flight... the flight, Wait,"}, {"id": "q011", "category": "rephrase", "question": "output中是否将“terminal two, no, terminal three. Wait, it's departing from terminal three.”处理成了“terminal 3”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: departing from terminal two, no, terminal three. Wait, it's departing from terminal three.; clean: departing from terminal 3"}, {"id": "q012", "category": "rephrase", "question": "output中是否将“Is it on time or on time for the gate change?”处理成了“Is it on time for the gate change?”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Is it on time or on time for the gate change?; clean: Is it on time for the gate change?"}]}
{"status": "success", "index": 859, "source_record_id": "assigned_records.jsonl:24381", "source_line": 861, "audio": "audio/voice_search__assigned_recordsjsonl24381.wav", "scene": "voice_search", "language": "en", "oral": "Maya, what score score is it for the Lakers game? Wait, not Lakers, oh no, the Celtics game. Tell me tell me the score and wake me up at seven tomorrow morning. Also, turn off all lights in living room and open Pin-t-rest for Sophia.", "clean": "Maya, what score is it for the Celtics game? Tell me the score and wake me up at 7 tomorrow morning. Also, turn off all lights in the living room and open Pinterest for Sophia.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Maya”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Maya"}, {"id": "q002", "category": "content", "question": "output中是否存在“what score is it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "what score is it"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“Lakers game? Wait, not Lakers, oh no, the Celtics game”处理成了“Celtics game”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Lakers game? Wait, not Lakers, oh no, the Celtics game -> Celtics game"}, {"id": "q004", "category": "content", "question": "output中是否存在“the score”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "the score"}, {"id": "q005", "category": "content", "question": "output中是否存在“wake me up”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "wake me up"}, {"id": "q006", "category": "format", "question": "output中是否将“seven”规范化成了“7”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "seven -> 7"}, {"id": "q007", "category": "content", "question": "output中是否存在“turn off all lights”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "turn off all lights"}, {"id": "q008", "category": "content", "question": "output中是否存在“in the living room”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "in the living room"}, {"id": "q009", "category": "format", "question": "output中是否将“Pin-t-rest”规范化成了“Pinterest”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Pin-t-rest”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Pin-t-rest -> Pinterest"}, {"id": "q010", "category": "content", "question": "output中是否存在“Sophia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Sophia"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "score score, Tell me tell me"}]}
{"status": "success", "index": 861, "source_record_id": "assigned_records.jsonl:24543", "source_line": 863, "audio": "audio/voice_search__assigned_recordsjsonl24543.wav", "scene": "voice_search", "language": "en", "oral": "Hey, find that podcast with... uh... the one about Dominic and Isabella. Also, set alarm for seven fifteen tomorrow, and then... wait, no... actually, what's definition of serendipity? Plus, call my brother on speaker.", "clean": "Hey, find that podcast with the one about Dominic and Isabella. Also, set alarm for 7:15 tomorrow, and then what's the definition of serendipity? Plus, call my brother on speaker.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将人名“Dominic”和“Isabella”进行了首字母大写的规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Dominic”和“Isabella”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: Dominic and Isabella; oral: Dominic and Isabella"}, {"id": "q002", "category": "format", "question": "output中是否将“seven fifteen”规范化成了“7:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven fifteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: 7:15; oral: seven fifteen"}, {"id": "q003", "category": "content", "question": "output中是否存在“find that podcast”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: find that podcast; oral: find that podcast"}, {"id": "q004", "category": "content", "question": "output中是否存在“call my brother on speaker”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: call my brother on speaker; oral: call my brother on speaker"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "clean: 无; oral: uh, wait, no, actually"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“wait, no... actually, what's definition of serendipity”处理成了“what's the definition of serendipity”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: what's the definition of serendipity; oral: wait, no... actually, what's definition of serendipity"}]}
{"status": "success", "index": 862, "source_record_id": "assigned_records.jsonl:22373", "source_line": 858, "audio": "audio/tech__assigned_recordsjsonl22373.wav", "scene": "tech", "language": "en", "oral": "Can you help me port this bash script into a Python CLI tool? Actually I want I want to convert it. It uses openssl x five zero nine and wget dash O to fetch files, then it uses jq quote map dot name quote for parsing, and it needs to run terraform fmt and ssh dash o for config. Wait, I mean it should handle ssh dash o options, it should handle options in Python. I think we can use a library for that, but it must be fast, fast enough for production, so we need to make sure it's efficient in the new version.", "clean": "Can you help me convert this bash script into a Python CLI tool? It uses openssl x509 and wget -O to fetch files, then it uses jq \"map(.name)\" for parsing, and it needs to run terraform fmt and ssh -o for config. It should handle options in Python. I think we can use a library for that, but it must be fast enough for production, so we need to make sure it's efficient in the new version.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually I want I want to convert it., Wait, I mean, fast, fast"}, {"id": "q002", "category": "format", "question": "output中是否将“x five zero nine”规范化成了“x509”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“x five zero nine”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "openssl x five zero nine -> openssl x509"}, {"id": "q003", "category": "format", "question": "output中是否将“dash O”规范化成了“-O”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“dash O”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "wget dash O -> wget -O"}, {"id": "q004", "category": "format", "question": "output中是否将“quote map dot name quote”规范化成了“\"map(.name)\"”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“quote map dot name quote”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "jq quote map dot name quote -> jq \"map(.name)\""}, {"id": "q005", "category": "format", "question": "output中是否将“ssh dash o”规范化成了“ssh -o”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ssh dash o”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ssh dash o -> ssh -o"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“port”处理成了“convert”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "port this bash script... Actually I want I want to convert it -> convert this bash script"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“Wait, I mean it should handle ssh dash o options, it should handle options in Python.”处理成了“It should handle options in Python.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Wait, I mean it should handle ssh dash o options, it should handle options in Python. -> It should handle options in Python."}, {"id": "q008", "category": "content", "question": "output中是否存在“terraform fmt”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "terraform fmt"}, {"id": "q009", "category": "content", "question": "output中是否存在“Python CLI tool”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Python CLI tool"}, {"id": "q010", "category": "content", "question": "output中是否存在“fetch files”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "fetch files"}, {"id": "q011", "category": "content", "question": "output中是否存在“efficient in the new version”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "efficient in the new version"}]}
{"status": "success", "index": 863, "source_record_id": "assigned_records.jsonl:22380", "source_line": 859, "audio": "audio/tech__assigned_recordsjsonl22380.wav", "scene": "tech", "language": "en", "oral": "Wait, people think we need kubectl delete namespace, no, not that, we just need to update the schema. I mean, we need to update update the schema. I think... if we... how to put it... if we use aws eks update-kubeconfig first... wait, no, gcloud compute instances list first. Just give me migration script for the users table, users table, for that new column. I need it to be... to be compatible with the current version. Oh, I mean... the version two point zero. I'm working in this new new environment.", "clean": "People think we need kubectl delete namespace, but we just need to update the schema. If we use gcloud compute instances list first, just give me the migration script for the users table for that new column. I need it to be compatible with version 2.0. I'm working in this new environment.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“kubectl delete namespace”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: kubectl delete namespace; clean: kubectl delete namespace"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“no, not that”等否定过程去除，并保留了“we just need to update the schema”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: no, not that, we just need to update the schema; clean: but we just need to update the schema"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: update update, users table users table, new new; clean: update, users table, new"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“aws eks update-kubeconfig”等纠错过程去除，并保留了最终结果“gcloud compute instances list”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: aws eks update-kubeconfig first... wait, no, gcloud compute instances list first; clean: gcloud compute instances list first"}, {"id": "q005", "category": "content", "question": "output中是否存在“migration script”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: migration script; clean: migration script"}, {"id": "q006", "category": "content", "question": "output中是否存在“users table”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: users table; clean: users table"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“the current version”等重新表述过程去除，并保留了最终结果“version two point zero”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: the current version. Oh, I mean... the version two point zero; clean: version 2.0"}, {"id": "q008", "category": "format", "question": "output中是否将“two point zero”规范化成了“2.0”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two point zero”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two point zero; clean: 2.0"}, {"id": "q009", "category": "content", "question": "output中是否存在“new environment”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: new environment; clean: new environment"}]}
{"status": "success", "index": 864, "source_record_id": "assigned_records.jsonl:24442", "source_line": 862, "audio": "audio/voice_search__assigned_recordsjsonl24442.wav", "scene": "voice_search", "language": "en", "oral": "Hey kitchen speaker, if eighty eight percent of a cup is too much... then we could use... use half a cup. Wait, actually, call my brother on speaker. Call my brother on speaker to ask him. Also, set an alarm for seven forty five and... open You tube on the kitchen speakar.", "clean": "Hey kitchen speaker, if 88% of a cup is too much, then we could use half a cup. Call my brother on speaker to ask him. Also, set an alarm for 7:45 and open YouTube on the kitchen speaker.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“eighty eight percent”规范化成了“88%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty eight percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"eighty eight percent\", clean: \"88%\""}, {"id": "q002", "category": "format", "question": "output中是否将“seven forty five”规范化成了“7:45”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven forty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"seven forty five\", clean: \"7:45\""}, {"id": "q003", "category": "format", "question": "output中是否将“You tube”规范化成了“YouTube”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“You tube”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"You tube\", clean: \"YouTube\""}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"use... use\", \"Wait, actually\", clean: 无"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“Wait, actually, call my brother on speaker. Call my brother on speaker to ask him.”处理成了“Call my brother on speaker to ask him.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"Wait, actually, call my brother on speaker. Call my brother on speaker to ask him.\", clean: \"Call my brother on speaker to ask him.\""}, {"id": "q006", "category": "content", "question": "output中是否存在“half a cup”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"half a cup\""}, {"id": "q007", "category": "content", "question": "output中是否存在“kitchen speaker”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"kitchen speaker\""}, {"id": "q008", "category": "content", "question": "output中是否存在“set an alarm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"set an alarm\""}]}
{"status": "success", "index": 865, "source_record_id": "assigned_records.jsonl:24565", "source_line": 865, "audio": "audio/voice_search__assigned_recordsjsonl24565.wav", "scene": "voice_search", "language": "en", "oral": "Actually, uh, set timer for ten minutes. Oh, and just... search for best pizza place nearby, maybe order pepperoni pizza from Dominoes, ya. I think I'll check TikTok, just... how should I put it... just for reviews, ba.", "clean": "Set timer for 10 minutes. Search for best pizza place nearby, maybe order pepperoni pizza from Domino's. I think I'll check TikTok for reviews.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, uh / Oh, and just... / ya / just... how should I put it... just / ba"}, {"id": "q002", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten minutes -> 10 minutes"}, {"id": "q003", "category": "format", "question": "output中是否将“Dominoes”规范化成了“Domino's”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Dominoes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "Dominoes -> Domino's"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“just... how should I put it... just for reviews”处理成了“for reviews”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "just... how should I put it... just for reviews -> for reviews"}, {"id": "q005", "category": "content", "question": "output中是否存在“set timer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "set timer"}, {"id": "q006", "category": "content", "question": "output中是否存在“best pizza place nearby”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "best pizza place nearby"}, {"id": "q007", "category": "content", "question": "output中是否存在“pepperoni pizza”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "pepperoni pizza"}, {"id": "q008", "category": "content", "question": "output中是否存在“check TikTok”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check TikTok"}]}
{"status": "success", "index": 866, "source_record_id": "assigned_records.jsonl:24549", "source_line": 864, "audio": "audio/voice_search__assigned_recordsjsonl24549.wav", "scene": "voice_search", "language": "en", "oral": "Hey, check flight status for... check flight status for my trip. Also, find nearest Whole Foods... oh no, nearest airport parking. Wait, actually, schedule a meeting with Sarah for tomorrow at two P M. And check if Duolingo... Duolingo app updated. Oh, and... open Pinterest... no, open Pinterest at eleven forty five P M.", "clean": "Hey, check flight status for my trip. Also, find nearest airport parking. Schedule a meeting with Sarah for tomorrow at 2pm. And check if the Duolingo app updated. Oh, and open Pinterest at 11:45pm.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“flight status”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check flight status for my trip"}, {"id": "q002", "category": "content", "question": "output中是否保留了“my trip”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check flight status for my trip"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“nearest Whole Foods... oh no, nearest airport parking”处理成了“nearest airport parking”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: find nearest Whole Foods... oh no, nearest airport parking. clean: find nearest airport parking."}, {"id": "q004", "category": "format", "question": "output中是否将“two P M”规范化成了“2pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two P M”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two P M. clean: 2pm"}, {"id": "q005", "category": "content", "question": "output中是否保留了“Sarah”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: meeting with Sarah"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Duolingo app”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check if the Duolingo app updated"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“open Pinterest... no, open Pinterest”处理成了“open Pinterest”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: open Pinterest... no, open Pinterest. clean: open Pinterest"}, {"id": "q008", "category": "format", "question": "output中是否将“eleven forty five P M”规范化成了“11:45pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eleven forty five P M”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: eleven forty five P M. clean: 11:45pm"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: check flight status for... check flight status, Wait, actually, Duolingo... Duolingo, Oh, and..."}]}
{"status": "success", "index": 867, "source_record_id": "assigned_records.jsonl:24631", "source_line": 867, "audio": "audio/voice_search__assigned_recordsjsonl24631.wav", "scene": "voice_search", "language": "en", "oral": "Hey, wait, I thought one cup was eight ounces but eh, that's only for liquid. How many grams in one cup of flour? Also, read my unread emails from today on Discord, Coursera, and LinkedIn.", "clean": "Hey, wait, I thought 1 cup was 8 ounces but that's only for liquid. How many grams in 1 cup of flour? Also, read my unread emails from today on Discord, Coursera, and LinkedIn.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“one cup”规范化成了“1 cup”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one cup”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'one cup', clean: '1 cup'"}, {"id": "q002", "category": "format", "question": "output中是否将“eight ounces”规范化成了“8 ounces”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight ounces”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'eight ounces', clean: '8 ounces'"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'but eh, that's', clean: 'but that's'"}, {"id": "q004", "category": "content", "question": "output中是否存在“only for liquid”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'that's only for liquid'"}, {"id": "q005", "category": "content", "question": "output中是否存在“grams in 1 cup of flour”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'How many grams in 1 cup of flour?'"}, {"id": "q006", "category": "content", "question": "output中是否存在“read my unread emails from today”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'read my unread emails from today'"}, {"id": "q007", "category": "content", "question": "output中是否存在“Discord, Coursera, and LinkedIn”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'on Discord, Coursera, and LinkedIn'"}]}
{"status": "success", "index": 868, "source_record_id": "assigned_records.jsonl:24661", "source_line": 869, "audio": "audio/voice_search__assigned_recordsjsonl24661.wav", "scene": "voice_search", "language": "en", "oral": "Play my workout playlist for 15 minutes, also set smart thermostat, and then set an alarm for 7:15 tomorrow, plus find closest gas station and read my last 3 unread emails", "clean": "Play my workout playlist for 15 minutes, also set smart thermostat, and then set an alarm for 7:15 tomorrow, plus find closest gas station and read my last 3 unread emails", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“workout playlist”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Play my workout playlist"}, {"id": "q002", "category": "content", "question": "output中是否存在“smart thermostat”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "set smart thermostat"}, {"id": "q003", "category": "content", "question": "output中是否存在“closest gas station”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "find closest gas station"}, {"id": "q004", "category": "content", "question": "output中是否存在“unread emails”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "read my last 3 unread emails"}, {"id": "q005", "category": "format", "question": "output中是否将“seven fifteen”规范化成了“7:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven fifteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "set an alarm for 7:15 tomorrow"}, {"id": "q006", "category": "format", "question": "output中是否将“fifteen”规范化成了“15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "for 15 minutes"}, {"id": "q007", "category": "format", "question": "output中是否将“three”规范化成了“3”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "last 3 unread emails"}]}
{"status": "success", "index": 869, "source_record_id": "assigned_records.jsonl:24598", "source_line": 866, "audio": "audio/voice_search__assigned_recordsjsonl24598.wav", "scene": "voice_search", "language": "en", "oral": "Hey, I'm not totally sure but I think... I think it's a song Isabella and Penelope found on Pinterest. It's... wait, it's the one Julian likes. Let me... let me hum it. Hmm, it sounds like... well, if I can remember... it's like this. Does it sound like something from city library playlist?", "clean": "Hey, I'm not totally sure but I think it's a song Isabella and Penelope found on Pinterest. It's the one Julian likes. Let me hum it. It sounds like this. Does it sound like something from the city library playlist?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Isabella and Penelope found on Pinterest”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Isabella and Penelope found on Pinterest"}, {"id": "q002", "category": "content", "question": "output中是否存在“Julian likes”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Julian likes"}, {"id": "q003", "category": "content", "question": "output中是否存在“the city library playlist”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: the city library playlist"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“It's... wait, it's”处理成了“It's”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: It's... wait, it's / clean: It's"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: I think... I think / Let me... let me / Hmm / well / if I can remember"}]}
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{"status": "success", "index": 871, "source_record_id": "assigned_records.jsonl:24705", "source_line": 870, "audio": "audio/voice_search__assigned_recordsjsonl24705.wav", "scene": "voice_search", "language": "en", "oral": "Hey Siri, tell me scores for the game. Give me give me the score. Wait, for the Snapchat league... no, DoorDash league. Did they hit eleven thousand points? Eleven thousand points? Also find closest gym, then open Duolingo.", "clean": "Hey Siri, tell me scores for the game. Give me the score for the DoorDash league. Did they hit 11,000 points? Also find closest gym, then open Duolingo.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“scores for the game”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "tell me scores for the game"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Snapchat league... no, DoorDash league”处理成了“DoorDash league”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Wait, for the Snapchat league... no, DoorDash league."}, {"id": "q003", "category": "format", "question": "output中是否将“eleven thousand”规范化成了“11,000”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eleven thousand”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eleven thousand points"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Give me give me the score. / Eleven thousand points? Eleven thousand points?"}, {"id": "q005", "category": "content", "question": "output中是否保留了“closest gym”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "find closest gym"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Duolingo”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "open Duolingo"}, {"id": "q007", "category": "content", "question": "output中是否保留了“Hey Siri”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Hey Siri"}]}
{"status": "success", "index": 872, "source_record_id": "assigned_records.jsonl:24756", "source_line": 872, "audio": "audio/voice_search__assigned_recordsjsonl24756.wav", "scene": "voice_search", "language": "en", "oral": "Honestly, uh, search for best pizza place nearby. Oh wait, also what's on my calendar for next Tuesday? And, just... book ride to airport for tomorrow at five. Oh, and send it to Xavier and Sophia.", "clean": "Honestly, search for the best pizza place nearby. Also, what's on my calendar for next Tuesday? And just book a ride to the airport for tomorrow at 5. Oh, and send it to Xavier and Sophia.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“best pizza place nearby”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: search for the best pizza place nearby"}, {"id": "q002", "category": "content", "question": "output中是否存在“what's on my calendar for next Tuesday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: what's on my calendar for next Tuesday"}, {"id": "q003", "category": "content", "question": "output中是否存在“book a ride to the airport”或“book ride to airport”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: book a ride to the airport"}, {"id": "q004", "category": "content", "question": "output中是否存在“for tomorrow”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: for tomorrow at 5"}, {"id": "q005", "category": "content", "question": "output中是否存在“send it to Xavier and Sophia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: send it to Xavier and Sophia"}, {"id": "q006", "category": "format", "question": "output中是否将“five”规范化成了“5”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five”", "score": 0}, {"text": "不存在“five”或“5”", "score": -1}], "evidence": "oral: at five; clean: at 5"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, Oh wait, just..."}]}
{"status": "success", "index": 873, "source_record_id": "assigned_records.jsonl:24840", "source_line": 874, "audio": "audio/voice_search__assigned_recordsjsonl24840.wav", "scene": "voice_search", "language": "en", "oral": "Wow! Quick, tell me score score of the game. Also... check if I got... check if I got any new messages on Discord, and read my last unread email. Then open Coursera, open Coursera and Twitch.", "clean": "Wow! Quick, tell me the score of the game. Also, check if I got any new messages on Discord, and read my last unread email. Then open Coursera and Twitch.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "score score, check if I got... check if I got, open Coursera, open Coursera"}, {"id": "q002", "category": "content", "question": "output中是否存在“score of the game”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "tell me the score of the game"}, {"id": "q003", "category": "content", "question": "output中是否存在“new messages on Discord”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check if I got any new messages on Discord"}, {"id": "q004", "category": "content", "question": "output中是否存在“last unread email”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "read my last unread email"}, {"id": "q005", "category": "format", "question": "output中是否将“Discord”首字母大写？", "options": [{"text": "首字母大写", "score": 1}, {"text": "存在该词但首字母小写", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Discord"}, {"id": "q006", "category": "format", "question": "output中是否将“Coursera”首字母大写？", "options": [{"text": "首字母大写", "score": 1}, {"text": "存在该词但首字母小写", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Coursera"}, {"id": "q007", "category": "format", "question": "output中是否将“Twitch”首字母大写？", "options": [{"text": "首字母大写", "score": 1}, {"text": "存在该词但首字母小写", "score": 0}, {"text": "不存在该词", "score": -1}], "evidence": "Twitch"}]}
{"status": "success", "index": 874, "source_record_id": "assigned_records.jsonl:24745", "source_line": 871, "audio": "audio/voice_search__assigned_recordsjsonl24745.wav", "scene": "voice_search", "language": "en", "oral": "Hey, uh, can you find this song? Hmm, it goes like... wait, let me... it sounds like Maya singing, plus also check if Oliver or Olivia shared it on Discord, and then just... just search Coursera for that music course, yeah.", "clean": "Hey, can you find this song? It sounds like Maya singing, plus also check if Oliver or Olivia shared it on Discord, and then just search Coursera for that music course, yeah.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“find this song”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "can you find this song"}, {"id": "q002", "category": "content", "question": "output中是否保留了“music course”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "search Coursera for that music course"}, {"id": "q003", "category": "format", "question": "output中是否将“maya”规范化成了首字母大写的“Maya”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“maya”或“Maya”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "it sounds like Maya singing"}, {"id": "q004", "category": "format", "question": "output中是否将“oliver”规范化成了首字母大写的“Oliver”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“oliver”或“Oliver”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "check if Oliver or Olivia shared it"}, {"id": "q005", "category": "format", "question": "output中是否将“olivia”规范化成了首字母大写的“Olivia”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“olivia”或“Olivia”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "check if Oliver or Olivia shared it"}, {"id": "q006", "category": "format", "question": "output中是否将“discord”规范化成了首字母大写的“Discord”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“discord”或“Discord”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "shared it on Discord"}, {"id": "q007", "category": "format", "question": "output中是否将“coursera”规范化成了首字母大写的“Coursera”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“coursera”或“Coursera”", "score": 0}, {"text": "不存在这个词或规范化错误", "score": -1}], "evidence": "search Coursera for that music course"}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, Hmm, wait, let me, just... just"}, {"id": "q009", "category": "rephrase", "question": "output中是否将“it goes like... wait, let me... it sounds like”处理成了“it sounds like”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "it goes like... wait, let me... it sounds like"}]}
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{"status": "success", "index": 875, "source_record_id": "assigned_records.jsonl:24816", "source_line": 873, "audio": "audio/voice_search__assigned_recordsjsonl24816.wav", "scene": "voice_search", "language": "en", "oral": "Set timer for ten minutes. If timer goes off... then we could check Waze, check Waze for traffic. Also add organic eggs to my grocery list. Remind me to finish Coursera course... no, finish Udemy course tomorrow. Find nearest DMV and close window blinds, close window blinds.", "clean": "Set timer for 10 minutes. If timer goes off, then we could check Waze for traffic. Also add organic eggs to my grocery list. Remind me to finish Udemy course tomorrow. Find nearest DMV and close window blinds.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten minutes; clean: 10 minutes"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Coursera course... no, finish Udemy course”处理成了“Udemy course”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: Coursera course... no, finish Udemy course; clean: Udemy course"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: check Waze, check Waze; close window blinds, close window blinds"}, {"id": "q004", "category": "content", "question": "output中是否存在“organic eggs”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: organic eggs"}, {"id": "q005", "category": "content", "question": "output中是否存在“grocery list”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: grocery list"}, {"id": "q006", "category": "content", "question": "output中是否存在“nearest DMV”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: nearest DMV"}, {"id": "q007", "category": "content", "question": "output中是否存在“check Waze for traffic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check Waze for traffic"}]}
{"status": "success", "index": 877, "source_record_id": "assigned_records.jsonl:24887", "source_line": 875, "audio": "audio/voice_search__assigned_recordsjsonl24887.wav", "scene": "voice_search", "language": "en", "oral": "Sebastian, wait, what time... uh, just start a workout for thirty minutes. And check traffic on the way to airport. Oh, and check my Zoom, wait, no, check Tinder. Is it... is it raining? No, it's fine. Actually, what's traffic like on the way to airport? Oh, wait, I already asked that. Just do it.", "clean": "Sebastian, what time... just start a workout for 30 minutes. And check traffic on the way to the airport. Oh, and check Tinder. Is it raining? No, it's fine. What's traffic like on the way to the airport? Oh, wait, I already asked that. Just do it.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "wait, uh, is it... is it"}, {"id": "q002", "category": "format", "question": "output中是否将“thirty minutes”规范化成了“30 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirty minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "thirty minutes -> 30 minutes"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“check my Zoom, wait, no, check Tinder”处理成了“check Tinder”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "check my Zoom, wait, no, check Tinder -> check Tinder"}, {"id": "q004", "category": "content", "question": "output中是否存在“start a workout”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "start a workout"}, {"id": "q005", "category": "content", "question": "output中是否存在“check traffic”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check traffic"}, {"id": "q006", "category": "content", "question": "output中是否存在“Is it raining”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Is it raining"}]}
{"status": "success", "index": 878, "source_record_id": "assigned_records.jsonl:25031", "source_line": 877, "audio": "audio/voice_search__assigned_recordsjsonl25031.wav", "scene": "voice_search", "language": "en", "oral": "Hey, what's weather like this weekend? Oh, wait, I can just check. Actually, uh, check weather for Saturday and Sunday. And also, find nearest twenty four hour gym... no, wait, local pharmacy. And tell Isabella how long does it take to get to airport. Oh, and check if Tinder notification is on.", "clean": "Hey, what's the weather like this weekend? Check weather for Saturday and Sunday. And also, find nearest 24-hour local pharmacy. And tell Isabella how long does it take to get to the airport. Oh, and check if Tinder notification is on.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“weather like this weekend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"what's the weather like this weekend?\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“Saturday and Sunday”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"Check weather for Saturday and Sunday.\""}, {"id": "q003", "category": "format", "question": "output中是否将“twenty four hour”规范化成了“24-hour”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty four hour”", "score": 0}, {"text": "不存在这个词或规范化结果错误", "score": -1}], "evidence": "oral: \"twenty four hour\", clean: \"24-hour\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“local pharmacy”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"find nearest 24-hour local pharmacy.\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“Isabella”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"And tell Isabella\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“how long does it take to get to the airport”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"how long does it take to get to the airport.\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“Tinder notification is on”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"check if Tinder notification is on.\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Oh, wait\", \"Actually, uh\", \"no, wait\", \"Oh\""}, {"id": "q009", "category": "rephrase", "question": "output中是否将“gym... no, wait, local pharmacy”处理成了“local pharmacy”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"gym... no, wait, local pharmacy\", clean: \"local pharmacy\""}]}
{"status": "success", "index": 879, "source_record_id": "assigned_records.jsonl:25035", "source_line": 878, "audio": "audio/voice_search__assigned_recordsjsonl25035.wav", "scene": "voice_search", "language": "en", "oral": "Hey, uh, find me that YouTube podcast about vacuum robot... vacuum robot technology, and, well, I think think it was episode twenty two. Actually, it was... maybe episode twenty five? Do you think it's worth a listen, huh?", "clean": "Hey, find me that YouTube podcast about vacuum robot technology, and I think it was episode 25. Do you think it's worth a listen?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, vacuum robot... vacuum robot, well, think think, huh"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“vacuum robot... vacuum robot technology”处理成了“vacuum robot technology”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "vacuum robot... vacuum robot technology -> vacuum robot technology"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“episode twenty two. Actually, it was... maybe episode twenty five”处理成了“episode twenty five”（或“episode 25”）？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "episode twenty two. Actually, it was... maybe episode twenty five -> episode 25"}, {"id": "q004", "category": "format", "question": "output中是否将“twenty five”规范化成了“25”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty five”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "twenty five -> 25"}, {"id": "q005", "category": "content", "question": "output中是否存在“YouTube podcast”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "YouTube podcast"}, {"id": "q006", "category": "content", "question": "output中是否存在“worth a listen”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "worth a listen"}]}
{"status": "success", "index": 880, "source_record_id": "assigned_records.jsonl:25121", "source_line": 879, "audio": "audio/voice_search__assigned_recordsjsonl25121.wav", "scene": "voice_search", "language": "en", "oral": "Oh! Set alarm for six thirty. Six thirty. Then set one for seven. Then set one for seven. Remind Julian to check Spotify. Also remind Benjamin... remind Benjamin to navigate to nearest airport. And tell me how many calories... how many calories in avocado.", "clean": "Set alarm for 6:30. Then set one for 7. Remind Julian to check Spotify. Also remind Benjamin to navigate to nearest airport. And tell me how many calories in avocado.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Oh! ... Six thirty. Six thirty. ... seven. Then set one for seven. ... Benjamin... remind Benjamin ... calories... how many calories"}, {"id": "q002", "category": "format", "question": "output中是否将“six thirty”规范化成了“6:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six thirty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "six thirty -> 6:30"}, {"id": "q003", "category": "format", "question": "output中是否将“seven”规范化成了“7”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "seven -> 7"}, {"id": "q004", "category": "content", "question": "output中是否存在“Set alarm”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Set alarm"}, {"id": "q005", "category": "content", "question": "output中是否存在“Remind Julian to check Spotify”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Remind Julian to check Spotify"}, {"id": "q006", "category": "content", "question": "output中是否存在“navigate to nearest airport”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "navigate to nearest airport"}, {"id": "q007", "category": "content", "question": "output中是否存在“how many calories in avocado”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "how many calories in avocado"}]}
{"status": "success", "index": 881, "source_record_id": "assigned_records.jsonl:25174", "source_line": 880, "audio": "audio/voice_search__assigned_recordsjsonl25174.wav", "scene": "voice_search", "language": "en", "oral": "Hey! Show me photos from my trip. I think I took... I took two hundred and ten... no, two hundred and twenty... wait wrong, is two hundred and twelve! The ones from... from Uber ride. Also check front door lock. Oh, what's latest score of Lakers game? And set alarm for eleven forty-five PM.", "clean": "Hey! Show me photos from my trip. I think I took 212! The ones from the Uber ride. Also check front door lock. Oh, what's the latest score of the Lakers game? And set alarm for 11:45pm.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "I took... I took, from... from, no, wait wrong"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“two hundred and ten... no, two hundred and twenty... wait wrong, is two hundred and twelve!”的纠错过程去除，并保留了最终结果“212”或“two hundred and twelve”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "two hundred and ten... no, two hundred and twenty... wait wrong, is two hundred and twelve! -> 212"}, {"id": "q003", "category": "format", "question": "output中是否将“two hundred and twelve”规范化成了“212”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred and twelve”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred and twelve -> 212"}, {"id": "q004", "category": "format", "question": "output中是否将“eleven forty-five PM”规范化成了“11:45pm”或“11:45 PM”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eleven forty-five PM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eleven forty-five PM -> 11:45pm"}, {"id": "q005", "category": "content", "question": "output中是否存在“Show me photos from my trip”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Show me photos from my trip"}, {"id": "q006", "category": "content", "question": "output中是否存在“Uber ride”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Uber ride"}, {"id": "q007", "category": "content", "question": "output中是否存在“check front door lock”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check front door lock"}, {"id": "q008", "category": "content", "question": "output中是否存在“latest score of Lakers game”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "latest score of Lakers game"}]}
{"status": "success", "index": 882, "source_record_id": "assigned_records.jsonl:25253", "source_line": 882, "audio": "audio/voice_search__assigned_recordsjsonl25253.wav", "scene": "voice_search", "language": "en", "oral": "Honestly... uh... set timer for... wait... set timer for three and a half hours. And... um... play some relaxing jazz in living room. Oh, also... remind me to check Discord... actually, remind me to check Coursera and that two hundred dollars thing.", "clean": "Honestly, set timer for 3.5 hours. And play some relaxing jazz in the living room. Oh, also, remind me to check Coursera and that $200 thing.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, um, wait, actually"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“set timer for... wait... set timer for”处理成了“set timer for”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "set timer for... wait... set timer for -> set timer for"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“check Discord... actually, remind me to check Coursera”处理成了“check Coursera”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "check Discord... actually, remind me to check Coursera -> check Coursera"}, {"id": "q004", "category": "format", "question": "output中是否将“three and a half hours”规范化成了“3.5 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three and a half hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "three and a half hours -> 3.5 hours"}, {"id": "q005", "category": "format", "question": "output中是否将“two hundred dollars”规范化成了“$200”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hundred dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hundred dollars -> $200"}, {"id": "q006", "category": "content", "question": "output中是否存在“relaxing jazz”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "play some relaxing jazz"}, {"id": "q007", "category": "content", "question": "output中是否存在“set timer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "set timer"}]}
{"status": "success", "index": 884, "source_record_id": "assigned_records.jsonl:25324", "source_line": 884, "audio": "audio/voice_search__assigned_recordsjsonl25324.wav", "scene": "voice_search", "language": "en", "oral": "Find podcast episode about Sophia... Sophia... about Pinterest... no, not Pinterest, about half a million... half a million calories... oh no, how many calories are in a medium banana, and turn off all the lights in the living room.", "clean": "Find podcast episode about Sophia about how many calories are in a medium banana, and turn off all the lights in the living room.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“podcast episode”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Find podcast episode"}, {"id": "q002", "category": "content", "question": "output中是否存在“medium banana”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "medium banana"}, {"id": "q003", "category": "content", "question": "output中是否存在“turn off all the lights”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "turn off all the lights"}, {"id": "q004", "category": "content", "question": "output中是否存在“living room”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "living room"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Sophia... Sophia..., half a million... half a million, oh no"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“Sophia... Sophia...”处理成了“Sophia”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Sophia... Sophia..."}, {"id": "q007", "category": "rephrase", "question": "output中是否去除了“about Pinterest... no, not Pinterest”的否定和纠错过程？", "options": [{"text": "进行了相同处理，完全去除", "score": 2}, {"text": "去除了否定过程但保留了被否定的词", "score": 1}, {"text": "没有去除，仍保留否定和纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "about Pinterest... no, not Pinterest"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“half a million... half a million calories... oh no, how many calories”处理成了“how many calories”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "没有去除，仍保留纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "half a million... half a million calories... oh no, how many calories"}]}
{"status": "success", "index": 883, "source_record_id": "assigned_records.jsonl:25178", "source_line": 881, "audio": "audio/voice_search__assigned_recordsjsonl25178.wav", "scene": "voice_search", "language": "en", "oral": "Set alarm for six... uh six thirty. And if I wake up early then we could find a recipe for gluten-free lasagna. Also set one for seven... oh no, seven fifteen. What's definition of serendipity? Remind me to do Duolingo at eight. Last one, find closest gym... no, closest movie theater for tomorrow.", "clean": "Set alarm for 6:30. And if I wake up early then we could find a recipe for gluten-free lasagna. Also set one for 7:15. What's the definition of serendipity? Remind me to do Duolingo at 8. Last one, find closest movie theater for tomorrow.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“six thirty”规范化成了“6:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six thirty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "six thirty -> 6:30"}, {"id": "q002", "category": "content", "question": "output中是否存在“gluten-free lasagna”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "gluten-free lasagna"}, {"id": "q003", "category": "format", "question": "output中是否将“seven fifteen”规范化成了“7:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven fifteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "seven fifteen -> 7:15"}, {"id": "q004", "category": "content", "question": "output中是否存在“definition of serendipity”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "definition of serendipity"}, {"id": "q005", "category": "format", "question": "output中是否将“eight”规范化成了“8”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eight -> 8"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“closest gym... no, closest movie theater”处理成了“closest movie theater”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "closest gym... no, closest movie theater -> closest movie theater"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“six... uh six thirty”处理成了“six thirty”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "six... uh six thirty -> six thirty"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“seven... oh no, seven fifteen”处理成了“seven fifteen”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "seven... oh no, seven fifteen -> seven fifteen"}, {"id": "q009", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh, oh no"}, {"id": "q010", "category": "content", "question": "output中是否存在“Duolingo”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "Duolingo"}]}
{"status": "success", "index": 886, "source_record_id": "assigned_records.jsonl:25406", "source_line": 888, "audio": "audio/voice_search__assigned_recordsjsonl25406.wav", "scene": "voice_search", "language": "en", "oral": "Hey, find me Xavier's pasta recipe on YouTube, and then check if Beatrice sent one, plus... uh, see if hallway dimmer light is on. Oh, and how much one hundred twenty dollars in euros?", "clean": "Hey, find me Xavier's pasta recipe on YouTube, and then check if Beatrice sent one, plus see if the hallway dimmer light is on. Oh, and how much is $120 in euros?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Xavier's pasta recipe on YouTube”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Xavier's pasta recipe on YouTube"}, {"id": "q002", "category": "content", "question": "output中是否保留了“check if Beatrice sent one”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: check if Beatrice sent one"}, {"id": "q003", "category": "content", "question": "output中是否保留了“hallway dimmer light”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: hallway dimmer light"}, {"id": "q004", "category": "format", "question": "output中是否将“one hundred twenty dollars”规范化成了“$120”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twenty dollars”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one hundred twenty dollars | clean: $120"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: plus... uh, see if"}]}
{"status": "success", "index": 885, "source_record_id": "assigned_records.jsonl:25290", "source_line": 883, "audio": "audio/voice_search__assigned_recordsjsonl25290.wav", "scene": "voice_search", "language": "en", "oral": "Actually... check flight status check flight status for me. Is it still on time? Also find closest gym near city hall. I need to check Coursera Coursera course later. Is it twenty-two degrees outside? And delete Tinder.", "clean": "Check flight status for me. Is it still on time? Also find the closest gym near City Hall. I need to check Coursera course later. Is it 22 degrees outside? And delete Tinder.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Actually..., check flight status check flight status, Coursera Coursera"}, {"id": "q002", "category": "format", "question": "output中是否将“twenty-two”规范化成了“22”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“twenty-two”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: twenty-two, clean: 22"}, {"id": "q003", "category": "format", "question": "output中是否将“city hall”规范化成了“City Hall”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“city hall”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: city hall, clean: City Hall"}, {"id": "q004", "category": "content", "question": "output中是否存在“still on time”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Is it still on time?"}, {"id": "q005", "category": "content", "question": "output中是否存在“closest gym”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: find the closest gym"}, {"id": "q006", "category": "content", "question": "output中是否存在“Coursera course”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check Coursera course"}, {"id": "q007", "category": "content", "question": "output中是否存在“delete Tinder”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: delete Tinder"}]}
{"status": "success", "index": 887, "source_record_id": "assigned_records.jsonl:25336", "source_line": 886, "audio": "audio/voice_search__assigned_recordsjsonl25336.wav", "scene": "voice_search", "language": "en", "oral": "Actually, can you search Spotify, search Spotify for that episode from eleven forty five PM? Oh and set an alarm for seven fifteen tomorrow morning. Also search for best pizza place nearby on DoorDash... DoorDash, but make sure it's open now. Wait, check if it's open now.", "clean": "Can you search Spotify for that episode from 11:45pm? Oh and set an alarm for 7:15 tomorrow morning. Also search for best pizza place nearby on DoorDash, but check if it's open now.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Can you search Spotify for that episode”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"Can you search Spotify for that episode\""}, {"id": "q002", "category": "format", "question": "output中是否将“eleven forty five PM”规范化成了“11:45pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eleven forty five PM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"eleven forty five PM\", clean: \"11:45pm\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“set an alarm”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"set an alarm\""}, {"id": "q004", "category": "format", "question": "output中是否将“seven fifteen”规范化成了“7:15”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven fifteen”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"seven fifteen\", clean: \"7:15\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“search for best pizza place nearby on DoorDash”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"search for best pizza place nearby on DoorDash\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"Actually, \", \"search Spotify, search Spotify\", \"DoorDash... DoorDash\""}, {"id": "q007", "category": "rephrase", "question": "output中是否将“make sure it's open now. Wait, check if it's open now.”处理成了“check if it's open now.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"make sure it's open now. Wait, check if it's open now.\", clean: \"check if it's open now.\""}]}
{"status": "success", "index": 888, "source_record_id": "assigned_records.jsonl:25330", "source_line": 885, "audio": "audio/voice_search__assigned_recordsjsonl25330.wav", "scene": "voice_search", "language": "en", "oral": "Hey Serenity, uh, turn off lights. All lights. Wait, search for nearest charging station... no, closest movie theater... wait, wrong, is nearest charging station! I need to check LinkedIn... check LinkedIn, and Pinterest, just for a bit, ya.", "clean": "Hey Serenity, turn off the lights. All lights. Search for the nearest charging station! I need to check LinkedIn and Pinterest, just for a bit, ya.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“turn off the lights”或“turn off lights”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: turn off the lights / oral: turn off lights"}, {"id": "q002", "category": "content", "question": "output中是否保留了“All lights”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: All lights."}, {"id": "q003", "category": "format", "question": "output中是否将“LinkedIn”正确拼写并首字母大写？", "options": [{"text": "正确拼写并首字母大写", "score": 1}, {"text": "拼写正确但未首字母大写", "score": 0}, {"text": "拼写错误或缺失", "score": -1}], "evidence": "clean: LinkedIn"}, {"id": "q004", "category": "format", "question": "output中是否将“Pinterest”正确拼写并首字母大写？", "options": [{"text": "正确拼写并首字母大写", "score": 1}, {"text": "拼写正确但未首字母大写", "score": 0}, {"text": "拼写错误或缺失", "score": -1}], "evidence": "clean: Pinterest"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, check LinkedIn... check LinkedIn"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“search for nearest charging station... no, closest movie theater... wait, wrong, is nearest charging station!”处理成了“Search for the nearest charging station”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: search for nearest charging station... no, closest movie theater... wait, wrong, is nearest charging station! / clean: Search for the nearest charging station!"}, {"id": "q007", "category": "content", "question": "output中是否保留了“just for a bit, ya”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: just for a bit, ya."}]}
{"status": "success", "index": 889, "source_record_id": "assigned_records.jsonl:25453", "source_line": 889, "audio": "audio/voice_search__assigned_recordsjsonl25453.wav", "scene": "voice_search", "language": "en", "oral": "Find that podcast where he said call my boss on speaker and then mentioned Tinder. He said eighty-five percent eighty-five percent of people use it wrong. I think he think... he meant... basically he's wrong about Pinterest. Book a ride to airport for eight AM.", "clean": "Find that podcast where he said call my boss on speaker and then mentioned Tinder. He said 85% of people use it wrong. I think he meant he's wrong about Pinterest. Book a ride to the airport for 8am.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“call my boss on speaker”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: call my boss on speaker"}, {"id": "q002", "category": "content", "question": "output中是否保留了“mentioned Tinder”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: mentioned Tinder"}, {"id": "q003", "category": "format", "question": "output中是否将“eighty-five percent”规范化成了“85%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty-five percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: eighty-five percent; clean: 85%"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“I think he think... he meant... basically he's wrong”处理成了“I think he meant he's wrong”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I think he think... he meant... basically he's wrong; clean: I think he meant he's wrong"}, {"id": "q005", "category": "content", "question": "output中是否保留了“wrong about Pinterest”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: wrong about Pinterest"}, {"id": "q006", "category": "format", "question": "output中是否将“eight AM”规范化成了“8am”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eight AM”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: eight AM; clean: 8am"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: eighty-five percent eighty-five percent; he think... he meant... basically"}, {"id": "q008", "category": "content", "question": "output中是否保留了“Book a ride to the airport”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Book a ride to the airport"}]}
{"status": "success", "index": 891, "source_record_id": "assigned_records.jsonl:25635", "source_line": 894, "audio": "audio/voice_search__assigned_recordsjsonl25635.wav", "scene": "voice_search", "language": "en", "oral": "Hey, check flight status for my sister, uh, is flight 204 on time? Actually, just tell me if flight 204 is delayed.", "clean": "Hey, check flight status for my sister, tell me if flight 204 is delayed.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“check flight status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check flight status; oral: check flight status"}, {"id": "q002", "category": "content", "question": "output中是否存在“my sister”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: my sister; oral: my sister"}, {"id": "q003", "category": "content", "question": "output中是否存在“flight 204”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: flight 204; oral: flight 204"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, Actually, just"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“is flight 204 on time? Actually, just tell me if flight 204 is delayed.”处理成了“tell me if flight 204 is delayed.”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: is flight 204 on time? Actually, just tell me if flight 204 is delayed.; clean: tell me if flight 204 is delayed."}]}
{"status": "success", "index": 890, "source_record_id": "assigned_records.jsonl:25366", "source_line": 887, "audio": "audio/voice_search__assigned_recordsjsonl25366.wav", "scene": "voice_search", "language": "en", "oral": "Send text to Julian. Tell him it's negative five... oh no, negative ten degrees outside, so turn on smart plug. Also, schedule a meeting with Sarah for tomorrow at two p.m. and then remind him about Airbnb... plus, check if he got the mail in the new garden.", "clean": "Send text to Julian. Tell him it's -10 degrees outside, so turn on smart plug. Also, schedule a meeting with Sarah for tomorrow at 2pm and then remind him about Airbnb... plus, check if he got the mail in the new garden.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“negative five... oh no, negative ten”处理成了“-10”或“negative ten”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: negative five... oh no, negative ten; clean: -10"}, {"id": "q002", "category": "format", "question": "output中是否将“negative ten”规范化成了“-10”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“negative ten”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: negative ten; clean: -10"}, {"id": "q003", "category": "format", "question": "output中是否将“two p.m.”规范化成了“2pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two p.m.”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: two p.m.; clean: 2pm"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: oh no; clean: 无"}, {"id": "q005", "category": "content", "question": "output中是否存在“Send text to Julian”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Send text to Julian"}, {"id": "q006", "category": "content", "question": "output中是否存在“turn on smart plug”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: turn on smart plug"}, {"id": "q007", "category": "content", "question": "output中是否存在“schedule a meeting with Sarah”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: schedule a meeting with Sarah"}, {"id": "q008", "category": "content", "question": "output中是否存在“remind him about Airbnb”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: remind him about Airbnb"}, {"id": "q009", "category": "content", "question": "output中是否存在“check if he got the mail in the new garden”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: check if he got the mail in the new garden"}]}
{"status": "success", "index": 892, "source_record_id": "assigned_records.jsonl:25523", "source_line": 891, "audio": "audio/voice_search__assigned_recordsjsonl25523.wav", "scene": "voice_search", "language": "en", "oral": "Eh, set timer for three hours, three hours, just... I mean, turn off TV... no, turn off the TV first and turn on sprinkler system, turn on sprinkler system since it's fifty percent dry, ya. Wait, Frank, Frank said... how should I put it... just make sure the water is on, ha.", "clean": "Set timer for 3 hours, turn off the TV first and turn on sprinkler system since it's 50% dry. Frank said just make sure the water is on.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“three hours”规范化成了“3 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“three hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'three hours', clean: '3 hours'"}, {"id": "q002", "category": "format", "question": "output中是否将“fifty percent”规范化成了“50%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifty percent”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'fifty percent', clean: '50%'"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'Eh', 'just...', 'I mean', 'no', 'ya', 'Wait', 'how should I put it', 'ha', 'three hours, three hours', 'Frank, Frank'"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“turn off TV... no, turn off the TV first”处理成了“turn off the TV first”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'turn off TV... no, turn off the TV first', clean: 'turn off the TV first'"}, {"id": "q005", "category": "content", "question": "output中是否存在“set timer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Set timer'"}, {"id": "q006", "category": "content", "question": "output中是否存在“turn on sprinkler system”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'turn on sprinkler system'"}, {"id": "q007", "category": "content", "question": "output中是否存在“make sure the water is on”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'make sure the water is on'"}, {"id": "q008", "category": "content", "question": "output中是否存在“Frank said”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Frank said'"}]}
{"status": "success", "index": 893, "source_record_id": "assigned_records.jsonl:25586", "source_line": 892, "audio": "audio/voice_search__assigned_recordsjsonl25586.wav", "scene": "voice_search", "language": "en", "oral": "Hey, check flight status for Ian, Ian's flight. Also, check if... check if it's delayed by fifteen percent or more. And then find out who is Prime Minister of Canada, plus... see if switches are... wait, check if Ian's six months visa is still valid.", "clean": "Hey, check flight status for Ian's flight. Also, check if it's delayed by 15% or more. And then find out who is Prime Minister of Canada, plus check if Ian's 6 months visa is still valid.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“flight status for Ian's flight”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: flight status for Ian's flight"}, {"id": "q002", "category": "content", "question": "output中是否保留了“Prime Minister of Canada”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: Prime Minister of Canada"}, {"id": "q003", "category": "format", "question": "output中是否将“fifteen percent”规范化成了“15%”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“fifteen percent”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: fifteen percent, clean: 15%"}, {"id": "q004", "category": "format", "question": "output中是否将“six months”规范化成了“6 months”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six months”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: six months, clean: 6 months"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Ian, Ian's / check if... check if / see if switches are... wait"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“see if switches are... wait, check if”处理成了“check if”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性/纠正性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: see if switches are... wait, check if, clean: check if"}]}
{"status": "success", "index": 895, "source_record_id": "assigned_records.jsonl:25861", "source_line": 897, "audio": "audio/voice_search__assigned_recordsjsonl25861.wav", "scene": "voice_search", "language": "en", "oral": "Hey Alexa, play some eighties pop... play play some eighties pop, oh no, play a random song, random song from library, and set timer... set timer for ten minutes.", "clean": "Hey Alexa, play a random song from library, and set timer for 10 minutes.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“Hey Alexa”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Hey Alexa"}, {"id": "q002", "category": "content", "question": "output中是否存在“play a random song from library”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: play a random song from library"}, {"id": "q003", "category": "content", "question": "output中是否存在“set timer”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: set timer"}, {"id": "q004", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten minutes, clean: 10 minutes"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: play play, oh no"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“play some eighties pop, oh no, play a random song”处理成了“play a random song”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: play some eighties pop... play play some eighties pop, oh no, play a random song, clean: play a random song"}]}
{"status": "success", "index": 894, "source_record_id": "assigned_records.jsonl:25498", "source_line": 890, "audio": "audio/voice_search__assigned_recordsjsonl25498.wav", "scene": "voice_search", "language": "en", "oral": "Honestly, uh, turn off all lights. Also, play some relaxing jazz in living room. Oh, and check if Sophia... wait, Sophia... no, Discord... wait wrong, is Duolingo sent me notification? I think... I mean... let me see... check if I spent one hundred ten dollars and fifty cents... no, one hundred twenty dollars and ten cents... wait wrong, is one hundred twenty dollars and fifty cents, huh. Just do it, ya. Just... just shut everything down, ba.", "clean": "Honestly, turn off all lights. Also, play some relaxing jazz in the living room. Oh, and check if Duolingo sent me a notification? Let me see... check if I spent $120.50. Just do it, ya. Just shut everything down, ba.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“turn off all lights”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: turn off all lights; clean: turn off all lights"}, {"id": "q002", "category": "content", "question": "output中是否保留了“play some relaxing jazz”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: play some relaxing jazz; clean: play some relaxing jazz"}, {"id": "q003", "category": "content", "question": "output中是否保留了“in the living room”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: in living room; clean: in the living room"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“Sophia... no, Discord... wait wrong, is Duolingo”处理成了“Duolingo”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: check if Sophia... wait, Sophia... no, Discord... wait wrong, is Duolingo; clean: check if Duolingo"}, {"id": "q005", "category": "rephrase", "question": "output中是否去除了“I think... I mean...”并保留了“let me see”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: I think... I mean... let me see...; clean: Let me see..."}, {"id": "q006", "category": "format", "question": "output中是否将“one hundred twenty dollars and fifty cents”规范化成了“$120.50”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one hundred twenty dollars and fifty cents”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one hundred twenty dollars and fifty cents; clean: $120.50"}, {"id": "q007", "category": "content", "question": "output中是否保留了“sent me a notification”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: sent me notification; clean: sent me a notification"}, {"id": "q008", "category": "content", "question": "output中是否保留了“Just do it, ya”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: Just do it, ya.; clean: Just do it, ya."}, {"id": "q009", "category": "content", "question": "output中是否保留了“shut everything down, ba”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "oral: shut everything down, ba.; clean: shut everything down, ba."}, {"id": "q010", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: uh, wait, no, wait wrong, I think, I mean, huh, Just... just; clean: 无此类词语"}]}
{"status": "success", "index": 896, "source_record_id": "assigned_records.jsonl:25804", "source_line": 896, "audio": "audio/voice_search__assigned_recordsjsonl25804.wav", "scene": "voice_search", "language": "en", "oral": "Hey, my brother said make it warmer in here, but uh, I think we just need to read weather forecast for weekend. Check score for the Lakers game. They got eighty two... oh no, eighty four points. Just turn on living room lights and lock front door, deadbolt it.", "clean": "Hey, my brother said make it warmer in here, but I think we just need to read the weather forecast for the weekend. Check the score for the Lakers game. They got 84 points. Just turn on the living room lights and lock the front door, deadbolt it.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“Hey”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Hey"}, {"id": "q002", "category": "content", "question": "output中是否保留了“my brother said”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "my brother said"}, {"id": "q003", "category": "content", "question": "output中是否保留了“make it warmer in here”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "make it warmer in here"}, {"id": "q004", "category": "content", "question": "output中是否保留了“read the weather forecast for the weekend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "read the weather forecast for the weekend"}, {"id": "q005", "category": "content", "question": "output中是否保留了“Check the score”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Check the score"}, {"id": "q006", "category": "content", "question": "output中是否保留了“Lakers game”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "Lakers game"}, {"id": "q007", "category": "format", "question": "output中是否将“eighty four”规范化成了“84”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“eighty four”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "eighty four points -> 84 points"}, {"id": "q008", "category": "rephrase", "question": "output中是否将“eighty two... oh no, eighty four”处理成了“84”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "eighty two... oh no, eighty four -> 84"}, {"id": "q009", "category": "content", "question": "output中是否保留了“turn on the living room lights”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "turn on the living room lights"}, {"id": "q010", "category": "content", "question": "output中是否保留了“lock the front door, deadbolt it”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "lock the front door, deadbolt it"}, {"id": "q011", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "uh"}]}
{"status": "success", "index": 897, "source_record_id": "assigned_records.jsonl:25641", "source_line": 895, "audio": "audio/voice_search__assigned_recordsjsonl25641.wav", "scene": "voice_search", "language": "en", "oral": "Eh, play soft pop song, hmm, you know the one that sounds like... wait, actually, just search for the song I am humming now and then turn volume down. Plus, I want to know if sushi bar is open for one week, or like, ten million people go there, how say... just check it, ya.", "clean": "Play soft pop song, just search for the song I am humming now and then turn volume down. Plus, I want to know if the sushi bar is open for 1 week, or if 10 million people go there, just check it.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Eh, hmm, you know the one that sounds like... wait, actually, or like, how say..., ya"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“you know the one that sounds like... wait, actually, just search for the song I am humming now”处理成了“just search for the song I am humming now”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: you know the one that sounds like... wait, actually, just search for the song I am humming now; clean: just search for the song I am humming now"}, {"id": "q003", "category": "format", "question": "output中是否将“one week”规范化成了“1 week”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“one week”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: one week; clean: 1 week"}, {"id": "q004", "category": "format", "question": "output中是否将“ten million”规范化成了“10 million”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten million”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: ten million; clean: 10 million"}, {"id": "q005", "category": "content", "question": "output中是否存在“play soft pop song”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Play soft pop song"}, {"id": "q006", "category": "content", "question": "output中是否存在“turn volume down”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: turn volume down"}, {"id": "q007", "category": "content", "question": "output中是否存在“sushi bar”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: sushi bar"}, {"id": "q008", "category": "content", "question": "output中是否存在“just check it”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: just check it"}]}
{"status": "success", "index": 899, "source_record_id": "assigned_records.jsonl:26002", "source_line": 899, "audio": "audio/voice_search__assigned_recordsjsonl26002.wav", "scene": "voice_search", "language": "en", "oral": "Hey, uh, I'm not totally sure but I think Jessica... oh no, John, start a call with John, and then check weather for Saturday and Sunday, right?", "clean": "I'm not totally sure but I think start a call with John, and then check weather for Saturday and Sunday, right?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Hey, uh,"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“Jessica... oh no, John”处理成了“John”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "Jessica... oh no, John"}, {"id": "q003", "category": "format", "question": "output中是否将人名“john”规范化为首字母大写的“John”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“john”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "John"}, {"id": "q004", "category": "content", "question": "output中是否存在“I'm not totally sure but I think”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I'm not totally sure but I think"}, {"id": "q005", "category": "content", "question": "output中是否存在“start a call”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "start a call"}, {"id": "q006", "category": "content", "question": "output中是否存在“check weather for Saturday and Sunday”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "check weather for Saturday and Sunday"}]}
{"status": "success", "index": 898, "source_record_id": "assigned_records.jsonl:25601", "source_line": 893, "audio": "audio/voice_search__assigned_recordsjsonl25601.wav", "scene": "voice_search", "language": "en", "oral": "Hey, tell me score for Son. Wait, s-s-son is playing... uh, one hundred yen... no, one hundred twenty... wait wrong, it is one hundred thirty five! This game... I missing because Microsoft Teams meeting. Who who who is president of Brazil? I forgot. Play latest episode of The Daily... and then, the score, please tell me!", "clean": "Hey, tell me the score for Son. Son is playing 135! I missed this game because of a Microsoft Teams meeting. Who is the president of Brazil? I forgot. Play the latest episode of The Daily... and then, the score, please tell me!", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“score for Son”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"the score for Son\" / oral: \"score for Son\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“missed this game”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"I missed this game\" / oral: \"I missing\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“president of Brazil”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"president of Brazil\" / oral: \"president of Brazil\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“latest episode”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"the latest episode\" / oral: \"latest episode\""}, {"id": "q005", "category": "format", "question": "output中是否将专有名词“Microsoft Teams”保持了正确的大写格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Microsoft Teams”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"Microsoft Teams\" / oral: \"Microsoft Teams\""}, {"id": "q006", "category": "format", "question": "output中是否将专有名词“The Daily”保持了正确的大写格式？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“The Daily”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "clean: \"The Daily\" / oral: \"The Daily\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"s-s-son\", \"who who who\" / clean: \"Son\", \"Who\""}, {"id": "q008", "category": "rephrase", "question": "output中是否将“one hundred yen... no, one hundred twenty... wait wrong, it is one hundred thirty five!”处理成了“135”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "clean: \"135\" / oral: \"one hundred yen... no, one hundred twenty... wait wrong, it is one hundred thirty five!\""}]}
{"status": "success", "index": 901, "source_record_id": "assigned_records.jsonl:26033", "source_line": 901, "audio": "audio/voice_search__assigned_recordsjsonl26033.wav", "scene": "voice_search", "language": "en", "oral": "Actually Quora says it is different, but what is current exchange rate for Yen? Set alarm for Sophia at six thirty, then one for Isabel at seven. Set thermostat to eco mode.", "clean": "Quora says it is different, but what is the current exchange rate for Yen? Set alarm for Sophia at 6:30, then one for Isabel at 7:00. Set thermostat to eco mode.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: Actually Quora says... / clean: Quora says..."}, {"id": "q002", "category": "format", "question": "output中是否将“six thirty”规范化成了“6:30”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“six thirty”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: at six thirty / clean: at 6:30"}, {"id": "q003", "category": "format", "question": "output中是否将“seven”规范化成了“7:00”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“seven”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: at seven / clean: at 7:00"}, {"id": "q004", "category": "content", "question": "output中是否存在“Quora”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Quora says it is different"}, {"id": "q005", "category": "content", "question": "output中是否存在“exchange rate for Yen”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: what is the current exchange rate for Yen"}, {"id": "q006", "category": "content", "question": "output中是否存在“alarm for Sophia”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Set alarm for Sophia"}, {"id": "q007", "category": "content", "question": "output中是否存在“one for Isabel”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: then one for Isabel"}, {"id": "q008", "category": "content", "question": "output中是否存在“thermostat to eco mode”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: Set thermostat to eco mode"}]}
{"status": "success", "index": 900, "source_record_id": "assigned_records.jsonl:26095", "source_line": 903, "audio": "audio/voice_search__assigned_recordsjsonl26095.wav", "scene": "voice_search", "language": "en", "oral": "Set alarms every thir- thir- thirty minutes, also... wait, play my Workout playlist, and then... uh, check Binance in thir- thirty seconds.", "clean": "Set alarms every 30 minutes, play my Workout playlist, and check Binance in 30 seconds.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“set alarms”（设置闹钟）的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"Set alarms\", clean: \"Set alarms\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“play my playlist”（播放我的播放列表）的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"play my ... playlist\", clean: \"play my ... playlist\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“check”（查看/检查）的语义？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: \"check\", clean: \"check\""}, {"id": "q004", "category": "format", "question": "output中是否将“thirty minutes”规范化成了“30 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirty minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"thirty minutes\", clean: \"30 minutes\""}, {"id": "q005", "category": "format", "question": "output中是否将“Workout”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“workout”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Workout\", clean: \"Workout\""}, {"id": "q006", "category": "format", "question": "output中是否将“Binance”进行了首字母大写规范化？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“binance”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Binance\", clean: \"Binance\""}, {"id": "q007", "category": "format", "question": "output中是否将“thirty seconds”规范化成了“30 seconds”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“thirty seconds”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"thirty seconds\", clean: \"30 seconds\""}, {"id": "q008", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"thir- thir-\", \"also... wait\", \"uh\", \"thir- thirty\""}, {"id": "q009", "category": "rephrase", "question": "output中是否去除了“also... wait,”等插入语，并保留了“play my Workout playlist”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"also... wait, play my Workout playlist\", clean: \"play my Workout playlist\""}, {"id": "q010", "category": "rephrase", "question": "output中是否去除了“and then... uh,”等插入语，并保留了“check Binance”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"and then... uh, check Binance\", clean: \"check Binance\""}]}
{"status": "success", "index": 903, "source_record_id": "assigned_records.jsonl:25999", "source_line": 898, "audio": "audio/voice_search__assigned_recordsjsonl25999.wav", "scene": "voice_search", "language": "en", "oral": "Hey, uh, resume playback for a sec. I'm not totally sure but I think my flight with Liam Airlines is at five fifteen P M. Could you check status? I just need to find parking spot nearby, maybe near Century Plaza? I mean, I think it's five fifteen P M, but let me double check. Just... uh, actually, just tell me if it's delayed, okay?", "clean": "Hey, resume playback for a sec. I'm not totally sure but I think my flight with Liam Airlines is at 5:15pm. Could you check status? I just need to find a parking spot nearby, maybe near Century Plaza? Just tell me if it's delayed, okay?", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 'uh', 'Just... uh, actually,'"}, {"id": "q002", "category": "format", "question": "output中是否将“five fifteen P M”规范化成了“5:15pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“five fifteen P M”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: 'five fifteen P M' -> clean: '5:15pm'"}, {"id": "q003", "category": "rephrase", "question": "output中是否去除了“I mean, I think it's five fifteen P M, but let me double check. Just... uh, actually,”等犹豫或重新表述的过程，并保留了最终结果“Just tell me if it's delayed, okay?”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 'I mean, I think it's five fifteen P M, but let me double check. Just... uh, actually, just tell me if it's delayed, okay?' -> clean: 'Just tell me if it's delayed, okay?'"}, {"id": "q004", "category": "content", "question": "output中是否存在“resume playback”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'resume playback'"}, {"id": "q005", "category": "content", "question": "output中是否存在“Liam Airlines”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Liam Airlines'"}, {"id": "q006", "category": "content", "question": "output中是否存在“parking spot”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'parking spot'"}, {"id": "q007", "category": "content", "question": "output中是否存在“Century Plaza”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'Century Plaza'"}, {"id": "q008", "category": "content", "question": "output中是否存在“check status”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 'check status'"}]}
{"status": "success", "index": 902, "source_record_id": "assigned_records.jsonl:26094", "source_line": 902, "audio": "audio/voice_search__assigned_recordsjsonl26094.wav", "scene": "voice_search", "language": "en", "oral": "Actually, uh, can you find recipe for... recipe for chicken? Oh and just... just check what's on my schedule for Friday, and oh, turn off bedroom fan, yeah.", "clean": "Can you find a recipe for chicken? Check what's on my schedule for Friday, and turn off the bedroom fan.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“find a recipe for chicken”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "find a recipe for chicken"}, {"id": "q002", "category": "content", "question": "output中是否保留了“check what's on my schedule for Friday”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "check what's on my schedule for Friday"}, {"id": "q003", "category": "content", "question": "output中是否保留了“turn off the bedroom fan”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "turn off the bedroom fan"}, {"id": "q004", "category": "format", "question": "output中是否将“friday”规范化成了首字母大写的“Friday”？", "options": [{"text": "进行了相同或合理的规范化，首字母大写", "score": 1}, {"text": "没有进行规范化，仍为小写", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "Friday"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, uh, recipe for... recipe for, just... just, Oh, yeah"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“recipe for... recipe for chicken”处理成了“recipe for chicken”？", "options": [{"text": "进行了相同处理，保留最终结果并删除重复", "score": 2}, {"text": "去除了重复但没保留最终结果", "score": 1}, {"text": "没有去除重复", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "recipe for... recipe for chicken -> recipe for chicken"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“just... just check”处理成了“check”？", "options": [{"text": "进行了相同处理，保留最终结果并删除重复", "score": 2}, {"text": "去除了重复但没保留最终结果", "score": 1}, {"text": "没有去除重复", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "just... just check -> check"}]}
{"status": "success", "index": 904, "source_record_id": "assigned_records.jsonl:26032", "source_line": 900, "audio": "audio/voice_search__assigned_recordsjsonl26032.wav", "scene": "voice_search", "language": "en", "oral": "I been busy for ten minutes... ten minutes washing machine and two hours slow cooker. I need to call call my accountant... oh no, call my lawyer. Anyway, can you find this song? Hmm, it goes like... mmm hmmm mmm.", "clean": "I've been busy for 10 minutes washing machine and 2 hours slow cooker. I need to call my lawyer. Anyway, can you find this song? It goes mmm hmmm mmm.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "format", "question": "output中是否将“ten minutes”规范化成了“10 minutes”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten minutes”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "ten minutes -> 10 minutes"}, {"id": "q002", "category": "format", "question": "output中是否将“two hours”规范化成了“2 hours”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two hours”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "two hours -> 2 hours"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "ten minutes... ten minutes, call call, Hmm, like"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“my accountant... oh no, call my lawyer”处理成了“my lawyer”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "my accountant... oh no, call my lawyer -> my lawyer"}, {"id": "q005", "category": "content", "question": "output中是否存在“washing machine”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "washing machine"}, {"id": "q006", "category": "content", "question": "output中是否存在“slow cooker”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "slow cooker"}, {"id": "q007", "category": "content", "question": "output中是否存在“find this song”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "find this song"}, {"id": "q008", "category": "content", "question": "output中是否存在“I've been”或“I have been”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "I been -> I've been"}]}
{"status": "success", "index": 906, "source_record_id": "assigned_records.jsonl:26116", "source_line": 904, "audio": "audio/voice_search__assigned_recordsjsonl26116.wav", "scene": "voice_search", "language": "en", "oral": "Actually, can you find that podcast episode from June twelfth... oh no, June fourteenth? And... check if... just tell me what's the status of my Amazon package, turn off oven, and also... uh... tell me what stock price of Apple is right now, then call my brother on speaker, thanks.", "clean": "Can you find that podcast episode from June 14? And tell me what's the status of my Amazon package, turn off the oven, and tell me what the stock price of Apple is right now, then call my brother on speaker, thanks.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "Actually, oh no, uh, and also"}, {"id": "q002", "category": "format", "question": "output中是否将“June fourteenth”规范化成了“June 14”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“June fourteenth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "June fourteenth -> June 14"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“June twelfth... oh no, June fourteenth”处理成了“June 14”或“June fourteenth”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "June twelfth... oh no, June fourteenth -> June 14"}, {"id": "q004", "category": "content", "question": "output中是否存在“find that podcast episode”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "find that podcast episode"}, {"id": "q005", "category": "content", "question": "output中是否存在“status of my Amazon package”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "status of my Amazon package"}, {"id": "q006", "category": "content", "question": "output中是否存在“turn off the oven”或“turn off oven”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "turn off oven / turn off the oven"}, {"id": "q007", "category": "content", "question": "output中是否存在“stock price of Apple”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "stock price of Apple"}, {"id": "q008", "category": "content", "question": "output中是否存在“call my brother on speaker”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "call my brother on speaker"}]}
{"status": "success", "index": 905, "source_record_id": "assigned_records.jsonl:26152", "source_line": 905, "audio": "audio/voice_search__assigned_recordsjsonl26152.wav", "scene": "voice_search", "language": "en", "oral": "David said... David said call the Uber driver... no, call the dentist at two... two P M. Convert... convert ten days... wait... how many hours ten days is.", "clean": "David said call the dentist at 2pm. Convert how many hours 10 days is.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“David said”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"David said\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“call the Uber driver... no, call the dentist”处理成了“call the dentist”？", "options": [{"text": "进行了相同处理，保留最终结果且删掉被否定过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定或解释性过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"call the Uber driver... no, call the dentist\", clean: \"call the dentist\""}, {"id": "q003", "category": "format", "question": "output中是否将“two P M”规范化成了“2pm”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“two P M”或“two PM”等原始说法", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: \"two P M\", clean: \"2pm\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“Convert... convert ten days... wait... how many hours”处理成了“Convert how many hours”？", "options": [{"text": "进行了相同处理，保留最终结果且删掉被否定/犹豫过程", "score": 2}, {"text": "删掉过程但最终结果不完整", "score": 1}, {"text": "仍保留被否定/犹豫过程", "score": 0}, {"text": "相关结果缺失", "score": -1}], "evidence": "oral: \"Convert... convert ten days... wait... how many hours\", clean: \"Convert how many hours\""}, {"id": "q005", "category": "format", "question": "output中是否将“ten days”规范化成了“10 days”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“ten days”", "score": 0}, {"text": "不存在该词或规范化错误", "score": -1}], "evidence": "oral: \"ten days\", clean: \"10 days\""}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"David said... David said\", \"Convert... convert\", \"wait\""}]}
{"status": "success", "index": 907, "source_record_id": "assigned_records.jsonl:26199", "source_line": 906, "audio": "audio/voice_search__assigned_recordsjsonl26199.wav", "scene": "voice_search", "language": "en", "oral": "Hey, tell me weather for this weekend, eh, I need know if I can... can take my wallet and go out. Also show me front porch camera and check security system, just to be sure. Oh, and what's on my calender for tomorrow? I think I orderd something from Amazon, check if it arrive on Saturday the twelfth.", "clean": "Hey, tell me the weather for this weekend, I need to know if I can take my wallet and go out. Also show me the front porch camera and check the security system, just to be sure. Oh, and what's on my calendar for tomorrow? I think I ordered something from Amazon, check if it arrives on Saturday the 12th.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "filter", "question": "output中是否出现了oral中的口语词（如“eh”），或重复词语（如“can... can”）情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"eh, I need know if I can... can take\""}, {"id": "q002", "category": "format", "question": "output中是否将“Saturday the twelfth”规范化成了“Saturday the 12th”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“Saturday the twelfth”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"Saturday the twelfth\", clean: \"Saturday the 12th\""}, {"id": "q003", "category": "format", "question": "output中是否将“calender”规范化成了“calendar”？", "options": [{"text": "进行了相同或合理的规范化", "score": 1}, {"text": "没有进行规范化但存在“calender”", "score": 0}, {"text": "不存在这个词或规范化结果", "score": -1}], "evidence": "oral: \"calender\", clean: \"calendar\""}, {"id": "q004", "category": "content", "question": "output中是否保留了“weather for this weekend”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"weather for this weekend\""}, {"id": "q005", "category": "content", "question": "output中是否保留了“take my wallet and go out”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"take my wallet and go out\""}, {"id": "q006", "category": "content", "question": "output中是否保留了“front porch camera”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"front porch camera\""}, {"id": "q007", "category": "content", "question": "output中是否保留了“check the security system”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"check the security system\""}, {"id": "q008", "category": "content", "question": "output中是否保留了“ordered something from Amazon”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"ordered something from Amazon\""}]}
{"status": "success", "index": 908, "source_record_id": "explanation.jsonl:2002", "source_line": 912, "audio": "audio/explanation__explanationjsonl2002.wav", "scene": "explanation", "language": "zh", "oral": "明早我们在落家山...不对，珞珈山见，珞是王字旁一个各自的各，珈是王字旁一个加法的加。", "clean": "明早我们在珞珈山见。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“明早”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 明早"}, {"id": "q002", "category": "content", "question": "output中是否保留了“见”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 见"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“落家山...不对，珞珈山”及后续字形解释处理成了“珞珈山”？", "options": [{"text": "进行了相同处理，保留了“珞珈山”且去除了纠错和解释过程", "score": 2}, {"text": "去除了纠错和解释过程但最终结果不完整", "score": 1}, {"text": "仍保留了纠错或解释过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 落家山...不对，珞珈山见，珞是王字旁一个各自的各，珈是王字旁一个加法的加。 clean: 珞珈山"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 明早我们在落家山...不对，珞珈山见，珞是王字旁一个各自的各，珈是王字旁一个加法的加。"}]}
{"status": "success", "index": 909, "source_record_id": "assigned_records.jsonl:26482", "source_line": 909, "audio": "audio/voice_search__assigned_recordsjsonl26482.wav", "scene": "voice_search", "language": "en", "oral": "I need to calculate 15 percent of 85 dollars and check Postmates, oh and what's the temperature outside, also 180 centimeters and what's the definition of serendipity, send this to Mom.", "clean": "I need to calculate 15% of $85 and check Postmates, oh and what's the temperature outside, also 180cm and what's the definition of serendipity, send this to Mom.", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“check Postmates”？", "options": [{"text": "存在“check Postmates”或等价含义", "score": 1}, {"text": "不存在该词或只存在一部分", "score": 0}, {"text": "存在与“check Postmates”含义相反的词", "score": -1}], "evidence": "check Postmates"}, {"id": "q002", "category": "content", "question": "output中是否存在“definition of serendipity”？", "options": [{"text": "存在“definition of serendipity”或等价含义", "score": 1}, {"text": "不存在该词或只存在一部分", "score": 0}, {"text": "存在与“definition of serendipity”含义相反的词", "score": -1}], "evidence": "what's the definition of serendipity"}, {"id": "q003", "category": "content", "question": "output中是否存在“send this to Mom”？", "options": [{"text": "存在“send this to Mom”或等价含义", "score": 1}, {"text": "不存在该词或只存在一部分", "score": 0}, {"text": "存在与“send this to Mom”含义相反的词", "score": -1}], "evidence": "send this to Mom"}, {"id": "q004", "category": "format", "question": "output中是否将“15 percent”规范化成了“15%”？", "options": [{"text": "输出了“15%”或等价形式", "score": 1}, {"text": "输出了“15 percent”但没有进行规范化", "score": 0}, {"text": "既没有“15%”也没有“15 percent”", "score": -1}], "evidence": "15 percent -> 15%"}, {"id": "q005", "category": "format", "question": "output中是否将“85 dollars”规范化成了“$85”？", "options": [{"text": "输出了“$85”或等价形式", "score": 1}, {"text": "输出了“85 dollars”但没有进行规范化", "score": 0}, {"text": "既没有“$85”也没有“85 dollars”", "score": -1}], "evidence": "85 dollars -> $85"}, {"id": "q006", "category": "format", "question": "output中是否将“180 centimeters”规范化成了“180cm”？", "options": [{"text": "输出了“180cm”或等价形式", "score": 1}, {"text": "输出了“180 centimeters”但没有进行规范化", "score": 0}, {"text": "既没有“180cm”也没有“180 centimeters”", "score": -1}], "evidence": "180 centimeters -> 180cm"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oh"}]}
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{"status": "success", "index": 919, "source_record_id": "explanation.jsonl:2010", "source_line": 920, "audio": "audio/explanation__explanationjsonl2010.wav", "scene": "explanation", "language": "zh", "oral": "纪念品帮我带一方吸砚...不是，歙砚，歙是歙县的歙，下午再去李园，不对，蠡园，蠡是范蠡的蠡。", "clean": "纪念品帮我带一方歙砚，下午再去蠡园。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在\"纪念品帮我带一方\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"纪念品帮我带一方歙砚\""}, {"id": "q002", "category": "content", "question": "output中是否存在\"下午再去\"？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"下午再去蠡园\""}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"吸砚...不是\" \"歙是歙县的歙\" \"李园，不对\" \"蠡是范蠡的蠡\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将\"吸砚...不是，歙砚，歙是歙县的歙\"处理成了\"歙砚\"？", "options": [{"text": "进行了相同处理，保留了\"歙砚\"并去除了纠错和解释过程", "score": 2}, {"text": "去除了解释性语句但没保留最终结果\"歙砚\"", "score": 1}, {"text": "没有去除，仍保留了\"吸砚...不是\"或\"歙是歙县的歙\"等过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"吸砚...不是，歙砚，歙是歙县的歙\" -> clean: \"歙砚\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将\"李园，不对，蠡园，蠡是范蠡的蠡\"处理成了\"蠡园\"？", "options": [{"text": "进行了相同处理，保留了\"蠡园\"并去除了纠错和解释过程", "score": 2}, {"text": "去除了解释性语句但没保留最终结果\"蠡园\"", "score": 1}, {"text": "没有去除，仍保留了\"李园，不对\"或\"蠡是范蠡的蠡\"等过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"李园，不对，蠡园，蠡是范蠡的蠡\" -> clean: \"蠡园\""}]}
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{"status": "success", "index": 920, "source_record_id": "explanation.jsonl:2008", "source_line": 918, "audio": "audio/explanation__explanationjsonl2008.wav", "scene": "explanation", "language": "zh", "oral": "快递先寄到宜南...不对，沂南，沂是沂河的沂，然后地址在浪苑路，不是，阆苑路，阆是阆中古城的阆，苑是公园的苑。", "clean": "快递先寄到沂南，地址在阆苑路。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“快递先寄到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 快递先寄到"}, {"id": "q002", "category": "content", "question": "output中是否保留了“地址在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 地址在"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对，不是"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“宜南...不对，沂南，沂是沂河的沂”处理成了“沂南”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 宜南...不对，沂南，沂是沂河的沂; clean: 沂南"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“浪苑路，不是，阆苑路，阆是阆中古城的阆，苑是公园的苑”处理成了“阆苑路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 浪苑路，不是，阆苑路，阆是阆中古城的阆，苑是公园的苑; clean: 阆苑路"}]}
{"status": "success", "index": 922, "source_record_id": "explanation.jsonl:2015", "source_line": 925, "audio": "audio/explanation__explanationjsonl2015.wav", "scene": "explanation", "language": "zh", "oral": "周六上午先去七霞寺...不对，栖霞寺，栖是栖息的栖，下午再爬牢山，不是，崂山，崂是山字旁一个劳累的劳。", "clean": "周六上午先去栖霞寺，下午再爬崂山。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“七霞寺...不对，栖霞寺，栖是栖息的栖”处理成了“栖霞寺”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "七霞寺...不对，栖霞寺，栖是栖息的栖 -> 栖霞寺"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“牢山，不是，崂山，崂是山字旁一个劳累的劳”处理成了“崂山”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "牢山，不是，崂山，崂是山字旁一个劳累的劳 -> 崂山"}, {"id": "q003", "category": "content", "question": "output中是否存在“周六上午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "周六上午"}, {"id": "q004", "category": "content", "question": "output中是否存在“先去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "先去"}, {"id": "q005", "category": "content", "question": "output中是否存在“下午”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "下午"}, {"id": "q006", "category": "content", "question": "output中是否存在“再爬”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "再爬"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "不对，不是"}]}
{"status": "success", "index": 921, "source_record_id": "explanation.jsonl:2011", "source_line": 921, "audio": "audio/explanation__explanationjsonl2011.wav", "scene": "explanation", "language": "zh", "oral": "路线先到番阳湖...不是，鄱阳湖，鄱是番茄的番右边一个双耳旁，然后再转车去批州，不对，邳州，邳是一个丕字右边加双耳旁。", "clean": "路线先到鄱阳湖，然后再转车去邳州。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“路线先到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 路线先到 / oral: 路线先到"}, {"id": "q002", "category": "content", "question": "output中是否存在“转车”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 转车 / oral: 转车"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不是...不对..."}, {"id": "q004", "category": "rephrase", "question": "output中是否将“番阳湖...不是，鄱阳湖，鄱是番茄的番右边一个双耳旁”处理成了“鄱阳湖”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 番阳湖...不是，鄱阳湖，鄱是番茄的番右边一个双耳旁 / clean: 鄱阳湖"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“批州，不对，邳州，邳是一个丕字右边加双耳旁”处理成了“邳州”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 批州，不对，邳州，邳是一个丕字右边加双耳旁 / clean: 邳州"}]}
{"status": "success", "index": 923, "source_record_id": "explanation.jsonl:2016", "source_line": 926, "audio": "audio/explanation__explanationjsonl2016.wav", "scene": "explanation", "language": "zh", "oral": "实验室名称写甬江实验室，甬是甬道的甬，回来的路上顺便买两个金云烧饼，不对，缙云烧饼，缙是绞丝旁一个晋升的晋。", "clean": "实验室名称写甬江实验室，回来的路上顺便买两个缙云烧饼。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“实验室名称写”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 实验室名称写甬江实验室"}, {"id": "q002", "category": "content", "question": "output中是否存在“甬江实验室”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 实验室名称写甬江实验室"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“甬是甬道的甬”去除了？", "options": [{"text": "去除了该解释性语句", "score": 2}, {"text": "去除了部分解释性语句但保留了部分", "score": 1}, {"text": "仍保留该解释性语句", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 甬是甬道的甬"}, {"id": "q004", "category": "content", "question": "output中是否存在“回来的路上顺便买两个”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 回来的路上顺便买两个缙云烧饼"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“金云烧饼，不对，缙云烧饼”处理成了“缙云烧饼”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了纠错过程但最终结果不完整", "score": 1}, {"text": "仍保留纠错过程", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 金云烧饼，不对，缙云烧饼 clean: 缙云烧饼"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“缙是绞丝旁一个晋升的晋”去除了？", "options": [{"text": "去除了该解释性语句", "score": 2}, {"text": "去除了部分解释性语句但保留了部分", "score": 1}, {"text": "仍保留该解释性语句", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 缙是绞丝旁一个晋升的晋"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不对"}]}
{"status": "success", "index": 924, "source_record_id": "explanation.jsonl:2013", "source_line": 923, "audio": "audio/explanation__explanationjsonl2013.wav", "scene": "explanation", "language": "zh", "oral": "药先买氯雷他定，氯是气字头那个氯化钠的氯，不是绿色的绿，再带一盒普地蓝，不对，蒲地蓝，蒲是蒲公英的蒲。", "clean": "药先买氯雷他定，再带一盒蒲地蓝。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“药先买”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 药先买氯雷他定"}, {"id": "q002", "category": "content", "question": "output中是否存在“再带一盒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再带一盒蒲地蓝"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“氯是气字头那个氯化钠的氯，不是绿色的绿”等解释过程去除，保留了“氯雷他定”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 氯是气字头那个氯化钠的氯，不是绿色的绿 / clean: 氯雷他定"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“普地蓝，不对，蒲地蓝，蒲是蒲公英的蒲”处理成了“蒲地蓝”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 普地蓝，不对，蒲地蓝，蒲是蒲公英的蒲 / clean: 蒲地蓝"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 药先买氯雷他定，氯是气字头那个氯化钠的氯，不是绿色的绿，再带一盒普地蓝，不对，蒲地蓝，蒲是蒲公英的蒲。"}]}
{"status": "success", "index": 926, "source_record_id": "explanation.jsonl:2018", "source_line": 928, "audio": "audio/explanation__explanationjsonl2018.wav", "scene": "explanation", "language": "zh", "oral": "我想在举南看房，不是，莒南，莒是莒国的莒，旁边那个小区叫若溪公馆...不对，栎溪公馆，栎是栎树的栎。", "clean": "我想在莒南看房，旁边那个小区叫栎溪公馆。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“举南，不是，莒南，莒是莒国的莒”处理成了“莒南”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 举南看房，不是，莒南，莒是莒国的莒; clean: 莒南"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“若溪公馆...不对，栎溪公馆，栎是栎树的栎”处理成了“栎溪公馆”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 若溪公馆...不对，栎溪公馆，栎是栎树的栎; clean: 栎溪公馆"}, {"id": "q003", "category": "content", "question": "output中是否保留了“看房”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 我想在莒南看房"}, {"id": "q004", "category": "content", "question": "output中是否保留了“旁边那个小区”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 旁边那个小区叫栎溪公馆"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不是, 不对, ..."}]}
{"status": "success", "index": 925, "source_record_id": "explanation.jsonl:2012", "source_line": 922, "audio": "audio/explanation__explanationjsonl2012.wav", "scene": "explanation", "language": "zh", "oral": "晚饭我要一盘同蒿，不是，茼蒿，茼是草字头下面一个同学的同，蒿是草字头下面一个高低的高，然后再来一碗合络面，不对，饸饹面，饸是食字旁一个合适的合，饹是食字旁一个各自的各。", "clean": "晚饭我要一盘茼蒿，再来一碗饸饹面。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“晚饭我要一盘”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 晚饭我要一盘"}, {"id": "q002", "category": "content", "question": "output中是否保留了“茼蒿”（或同音词）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 茼蒿"}, {"id": "q003", "category": "content", "question": "output中是否保留了“再来一碗”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 再来一碗"}, {"id": "q004", "category": "content", "question": "output中是否保留了“饸饹面”（或同音词）？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 饸饹面"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不是, 不对"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“同蒿，不是，茼蒿，茼是草字头下面一个同学的同，蒿是草字头下面一个高低的高”处理成了“茼蒿”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 同蒿，不是，茼蒿，茼是草字头下面一个同学的同，蒿是草字头下面一个高低的高; clean: 茼蒿"}, {"id": "q007", "category": "rephrase", "question": "output中是否将“合络面，不对，饸饹面，饸是食字旁一个合适的合，饹是食字旁一个各自的各”处理成了“饸饹面”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 合络面，不对，饸饹面，饸是食字旁一个合适的合，饹是食字旁一个各自的各; clean: 饸饹面"}]}
{"status": "success", "index": 928, "source_record_id": "explanation.jsonl:2017", "source_line": 927, "audio": "audio/explanation__explanationjsonl2017.wav", "scene": "explanation", "language": "zh", "oral": "船票订到圣泗...不对，嵊泗，嵊是山字旁一个乘车的乘，泗是泗水的泗。", "clean": "船票订到嵊泗。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“船票订到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 船票订到嵊泗。"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“圣泗...不对，嵊泗，嵊是山字旁一个乘车的乘，泗是泗水的泗”处理成了“嵊泗”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 船票订到圣泗...不对，嵊泗，嵊是山字旁一个乘车的乘，泗是泗水的泗。 clean: 船票订到嵊泗。"}]}
{"status": "success", "index": 927, "source_record_id": "explanation.jsonl:2014", "source_line": 924, "audio": "audio/explanation__explanationjsonl2014.wav", "scene": "explanation", "language": "zh", "oral": "嘴上起泡那个药你给我拿阿夕洛韦...不对，阿昔洛韦，昔是今昔的昔，再备两包蒙脱石散，蒙是蒙古的蒙。", "clean": "嘴上起泡那个药你给我拿阿昔洛韦，再备两包蒙脱石散。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“嘴上起泡”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 嘴上起泡"}, {"id": "q002", "category": "content", "question": "output中是否保留了“那个药你给我拿”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 那个药你给我拿"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“阿夕洛韦...不对，阿昔洛韦，昔是今昔的昔”处理成了“阿昔洛韦”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 阿夕洛韦...不对，阿昔洛韦，昔是今昔的昔 | clean: 阿昔洛韦"}, {"id": "q004", "category": "content", "question": "output中是否保留了“再备两包”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再备两包"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“蒙脱石散，蒙是蒙古的蒙”处理成了“蒙脱石散”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 蒙脱石散，蒙是蒙古的蒙 | clean: 蒙脱石散"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 那个, ...不对, 昔是今昔的昔, 蒙是蒙古的蒙"}]}
{"status": "success", "index": 930, "source_record_id": "explanation.jsonl:2023", "source_line": 933, "audio": "audio/explanation__explanationjsonl2023.wav", "scene": "explanation", "language": "zh", "oral": "导航直接到许树关...不是，浒墅关，浒是水浒的浒，墅是别墅的墅。", "clean": "导航直接到浒墅关。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“导航直接到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 导航直接到浒墅关。"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“许树关...不是，浒墅关，浒是水浒的浒，墅是别墅的墅”处理成了“浒墅关”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 许树关...不是，浒墅关，浒是水浒的浒，墅是别墅的墅。 clean: 浒墅关。"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 导航直接到许树关...不是，浒墅关，浒是水浒的浒，墅是别墅的墅。"}]}
{"status": "success", "index": 931, "source_record_id": "explanation.jsonl:2024", "source_line": 934, "audio": "audio/explanation__explanationjsonl2024.wav", "scene": "explanation", "language": "zh", "oral": "快递寄到秦童古镇...不对，溱潼古镇，溱是三点水一个秦国的秦，潼是三点水一个儿童的童。", "clean": "快递寄到溱潼古镇。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“快递寄到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 快递寄到秦童古镇... clean: 快递寄到溱潼古镇。"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“秦童古镇...不对，溱潼古镇，溱是三点水一个秦国的秦，潼是三点水一个儿童的童”处理成了“溱潼古镇”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 秦童古镇...不对，溱潼古镇，溱是三点水一个秦国的秦，潼是三点水一个儿童的童。 clean: 溱潼古镇"}]}
{"status": "success", "index": 932, "source_record_id": "explanation.jsonl:2020", "source_line": 930, "audio": "audio/explanation__explanationjsonl2020.wav", "scene": "explanation", "language": "zh", "oral": "明天下午先去庸和宫，不对，雍和宫，雍是雍容的雍，然后晚上住在齐连路附近，不对，祁连路，祁是祁连山的祁。", "clean": "明天下午先去雍和宫，然后晚上住在祁连路附近。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“明天下午先去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "明天下午先去"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“庸和宫，不对，雍和宫，雍是雍容的雍”处理成了“雍和宫”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "庸和宫，不对，雍和宫，雍是雍容的雍 -> 雍和宫"}, {"id": "q003", "category": "content", "question": "output中是否保留了“然后晚上住在”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "然后晚上住在"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“齐连路附近，不对，祁连路，祁是祁连山的祁”处理成了“祁连路附近”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "齐连路附近，不对，祁连路，祁是祁连山的祁 -> 祁连路附近"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "不对，雍是雍容的雍...不对，祁是祁连山的祁"}]}
{"status": "success", "index": 933, "source_record_id": "explanation.jsonl:2021", "source_line": 931, "audio": "audio/explanation__explanationjsonl2021.wav", "scene": "explanation", "language": "zh", "oral": "这趟先去京县...不对，泾县，泾是泾渭分明的泾，然后晚上住旌德，旌是旌旗的旌。", "clean": "这趟先去泾县，然后晚上住旌德。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“这趟先去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 这趟先去泾县"}, {"id": "q002", "category": "content", "question": "output中是否存在“晚上住”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 然后晚上住旌德"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 这趟先去京县...不对"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“京县...不对，泾县，泾是泾渭分明的泾”处理成了“泾县”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 京县...不对，泾县，泾是泾渭分明的泾; clean: 泾县"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“旌德，旌是旌旗的旌”处理成了“旌德”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 旌德，旌是旌旗的旌; clean: 旌德"}]}
{"status": "success", "index": 929, "source_record_id": "explanation.jsonl:2019", "source_line": 929, "audio": "audio/explanation__explanationjsonl2019.wav", "scene": "explanation", "language": "zh", "oral": "酒店就在鹿湖边上，不对，麓湖，麓是山麓的麓，对面是落家创谷...不是，珞珈创谷，珞是王字旁一个各自的各，珈是王字旁一个加法的加。", "clean": "酒店就在麓湖边上，对面是珞珈创谷。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“酒店在...边上”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 酒店就在麓湖边上"}, {"id": "q002", "category": "content", "question": "output中是否保留了“对面是...”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 对面是珞珈创谷"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“鹿湖，不对，麓湖，麓是山麓的麓”处理成了“麓湖”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 鹿湖边上，不对，麓湖，麓是山麓的麓; clean: 麓湖"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“落家创谷...不是，珞珈创谷，珞是王字旁一个各自的各，珈是王字旁一个加法的加”处理成了“珞珈创谷”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 落家创谷...不是，珞珈创谷，珞是王字旁一个各自的各，珈是王字旁一个加法的加; clean: 珞珈创谷"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 不对，不是"}]}
{"status": "success", "index": 934, "source_record_id": "explanation.jsonl:2026", "source_line": 936, "audio": "audio/explanation__explanationjsonl2026.wav", "scene": "explanation", "language": "zh", "oral": "水果再买点泥猴桃...不对，猕猴桃，猕是反犬旁一个弥补的弥，嗓子不舒服的话再带一瓶枇杷膏，枇是木字旁一个比方的比。", "clean": "水果再买点猕猴桃，嗓子不舒服的话再带一瓶枇杷膏。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“水果再买点”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 水果再买点"}, {"id": "q002", "category": "content", "question": "output中是否保留了“嗓子不舒服的话”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 嗓子不舒服的话"}, {"id": "q003", "category": "content", "question": "output中是否保留了“再带一瓶”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 再带一瓶"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 泥猴桃...不对，猕猴桃 / clean: 猕猴桃"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“泥猴桃...不对，猕猴桃，猕是反犬旁一个弥补的弥”处理成了“猕猴桃”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 泥猴桃...不对，猕猴桃，猕是反犬旁一个弥补的弥 / clean: 猕猴桃"}, {"id": "q006", "category": "rephrase", "question": "output中是否将“枇杷膏，枇是木字旁一个比方的比”处理成了“枇杷膏”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 枇杷膏，枇是木字旁一个比方的比 / clean: 枇杷膏"}]}
{"status": "success", "index": 935, "source_record_id": "explanation.jsonl:2022", "source_line": 932, "audio": "audio/explanation__explanationjsonl2022.wav", "scene": "explanation", "language": "zh", "oral": "地铁坐到申庄...不对，莘庄，莘是莘莘学子的莘，出站后去这林路，不是，柘林路，柘是柘树的柘。", "clean": "地铁坐到莘庄，出站后去柘林路。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“地铁坐到”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 地铁坐到; oral: 地铁坐到"}, {"id": "q002", "category": "content", "question": "output中是否存在“出站后去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 出站后去; oral: 出站后去"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“申庄...不对，莘庄，莘是莘莘学子的莘”处理成了“莘庄”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 申庄...不对，莘庄，莘是莘莘学子的莘; clean: 莘庄"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“这林路，不是，柘林路，柘是柘树的柘”处理成了“柘林路”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 这林路，不是，柘林路，柘是柘树的柘; clean: 柘林路"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 申庄...不对; 这林路，不是"}]}
{"status": "success", "index": 937, "source_record_id": "explanation.jsonl:2030", "source_line": 940, "audio": "audio/explanation__explanationjsonl2030.wav", "scene": "explanation", "language": "zh", "oral": "体检地点在鞋和医院...不对，协和医院，协是协调的协，和是和平的和。", "clean": "体检地点在协和医院。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“体检地点”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 体检地点在协和医院。"}, {"id": "q002", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 体检地点在鞋和医院...不对，协和医院，协是协调的协，和是和平的和。"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“鞋和医院...不对，协和医院，协是协调的协，和是和平的和”处理成了“协和医院”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 鞋和医院...不对，协和医院，协是协调的协，和是和平的和。 clean: 协和医院。"}]}
{"status": "success", "index": 936, "source_record_id": "explanation.jsonl:2025", "source_line": 935, "audio": "audio/explanation__explanationjsonl2025.wav", "scene": "explanation", "language": "zh", "oral": "晚饭我要一份欠实糕...不对，芡实糕，芡是草字头下面一个欠条的欠，再来个扶苓饼，不是，茯苓饼，茯是草字头下面一个伏天的伏。", "clean": "晚饭我要一份芡实糕，再来个茯苓饼。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“晚饭我要一份”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"晚饭我要一份\""}, {"id": "q002", "category": "content", "question": "output中是否保留了“再来个”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: \"再来个\""}, {"id": "q003", "category": "rephrase", "question": "output中是否将“欠实糕...不对，芡实糕，芡是草字头下面一个欠条的欠”处理成了“芡实糕”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"欠实糕...不对，芡实糕，芡是草字头下面一个欠条的欠\", clean: \"芡实糕\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“扶苓饼，不是，茯苓饼，茯是草字头下面一个伏天的伏”处理成了“茯苓饼”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"扶苓饼，不是，茯苓饼，茯是草字头下面一个伏天的伏\", clean: \"茯苓饼\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"晚饭我要一份欠实糕...不对，芡实糕，芡是草字头下面一个欠条的欠，再来个扶苓饼，不是，茯苓饼，茯是草字头下面一个伏天的伏。\""}]}
{"status": "success", "index": 938, "source_record_id": "explanation.jsonl:2028", "source_line": 938, "audio": "audio/explanation__explanationjsonl2028.wav", "scene": "explanation", "language": "zh", "oral": "周末先去凡净山...不对，梵净山，梵是梵高的梵，然后再去九兹古镇，不是，鸠兹古镇，鸠是斑鸠的鸠，兹是兹事体大的兹。", "clean": "周末先去梵净山，然后再去鸠兹古镇。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“凡净山...不对，梵净山，梵是梵高的梵”处理成了“梵净山”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 凡净山...不对，梵净山，梵是梵高的梵; clean: 梵净山"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“九兹古镇，不是，鸠兹古镇，鸠是斑鸠的鸠，兹是兹事体大的兹”处理成了“鸠兹古镇”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 九兹古镇，不是，鸠兹古镇，鸠是斑鸠的鸠，兹是兹事体大的兹; clean: 鸠兹古镇"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对...不是..."}, {"id": "q004", "category": "content", "question": "output中是否存在“周末先去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 周末先去"}, {"id": "q005", "category": "content", "question": "output中是否存在“然后再去”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 然后再去"}]}
{"status": "success", "index": 940, "source_record_id": "explanation.jsonl:2027", "source_line": 937, "audio": "audio/explanation__explanationjsonl2027.wav", "scene": "explanation", "language": "zh", "oral": "酒水就买泸州老教...不对，泸州老窖，窖是地窖的窖，再带一瓶羊韶，不是，仰韶，仰是仰头的仰，韶是韶华的韶。", "clean": "酒水就买泸州老窖，再带一瓶仰韶。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“酒水就买”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 酒水就买泸州老窖，再带一瓶仰韶。"}, {"id": "q002", "category": "content", "question": "output中是否保留了“再带一瓶”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: 酒水就买泸州老窖，再带一瓶仰韶。"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“泸州老教...不对，泸州老窖，窖是地窖的窖”处理成了“泸州老窖”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 泸州老教...不对，泸州老窖，窖是地窖的窖; clean: 泸州老窖"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“羊韶，不是，仰韶，仰是仰头的仰，韶是韶华的韶”处理成了“仰韶”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: 羊韶，不是，仰韶，仰是仰头的仰，韶是韶华的韶; clean: 仰韶"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: 不对，不是"}]}
{"status": "success", "index": 942, "source_record_id": "explanation.jsonl:2034", "source_line": 944, "audio": "audio/explanation__explanationjsonl2034.wav", "scene": "explanation", "language": "zh", "oral": "见面地点在到香村门口...不对，稻香村，稻是水稻的稻，晚饭再去鬼街，不是，簋街，簋是竹字头下面一个皿字。", "clean": "见面地点在稻香村门口，晚饭再去簋街。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“见面地点”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"见面地点在稻香村门口\""}, {"id": "q002", "category": "content", "question": "output中是否存在“门口”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"见面地点在稻香村门口\""}, {"id": "q003", "category": "content", "question": "output中是否存在“晚饭”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"晚饭再去簋街\""}, {"id": "q004", "category": "content", "question": "output中是否存在“再去”？", "options": ["有(1)", "没有这个词或只有一部分(0)", "和这个词含义相反(-1)"], "evidence": "clean: \"晚饭再去簋街\""}, {"id": "q005", "category": "rephrase", "question": "output中是否将“到香村...不对，稻香村，稻是水稻的稻”处理成了“稻香村”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: \"到香村...不对，稻香村，稻是水稻的稻\", clean: \"稻香村\""}, {"id": "q006", "category": "rephrase", "question": "output中是否将“鬼街，不是，簋街，簋是竹字头下面一个皿字”处理成了“簋街”？", "options": ["进行了相同处理(2)", "去除了解释性语句但没保留最终结果(1)", "没有去除(0)", "output中没有相关话语(-1)"], "evidence": "oral: \"鬼街，不是，簋街，簋是竹字头下面一个皿字\", clean: \"簋街\""}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": ["不存在(2)", "仍存在(0)"], "evidence": "oral: \"...不对\", \"不是\""}]}
{"status": "success", "index": 943, "source_record_id": "explanation.jsonl:2033", "source_line": 943, "audio": "audio/explanation__explanationjsonl2033.wav", "scene": "explanation", "language": "zh", "oral": "门票定岳路书院...不对，岳麓书院，麓是山麓的麓，旁边那个景点叫橘子洲，橘是橘子的橘。", "clean": "门票定岳麓书院，旁边那个景点叫橘子洲。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“岳路书院...不对，岳麓书院，麓是山麓的麓”处理成了“岳麓书院”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "岳路书院...不对，岳麓书院，麓是山麓的麓"}, {"id": "q002", "category": "rephrase", "question": "output中是否去除了“橘是橘子的橘”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "橘是橘子的橘"}, {"id": "q003", "category": "content", "question": "output中是否存在“门票定”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "门票定"}, {"id": "q004", "category": "content", "question": "output中是否存在“旁边那个景点叫”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "旁边那个景点叫"}, {"id": "q005", "category": "content", "question": "output中是否存在“橘子洲”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "橘子洲"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "门票定岳路书院...不对，岳麓书院，麓是山麓的麓，旁边那个景点叫橘子洲，橘是橘子的橘。"}]}
{"status": "success", "index": 944, "source_record_id": "explanation.jsonl:2035", "source_line": 945, "audio": "audio/explanation__explanationjsonl2035.wav", "scene": "explanation", "language": "zh", "oral": "零食顺手买两包恰恰瓜子...不对，洽洽瓜子，洽是三点水一个合适的合，再带一盒许福记，不是，徐福记，徐是双人旁一个余下的余。", "clean": "零食顺手买两包洽洽瓜子，再带一盒徐福记。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“零食顺手买两包”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"零食顺手买两包洽洽瓜子\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“恰恰瓜子...不对，洽洽瓜子，洽是三点水一个合适的合”处理成了“洽洽瓜子”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"恰恰瓜子...不对，洽洽瓜子，洽是三点水一个合适的合\", clean: \"洽洽瓜子\""}, {"id": "q003", "category": "content", "question": "output中是否保留了“再带一盒”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"再带一盒徐福记\""}, {"id": "q004", "category": "rephrase", "question": "output中是否将“许福记，不是，徐福记，徐是双人旁一个余下的余”处理成了“徐福记”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"许福记，不是，徐福记，徐是双人旁一个余下的余\", clean: \"徐福记\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"...不对\", \"不是\""}]}
{"status": "success", "index": 945, "source_record_id": "explanation.jsonl:2031", "source_line": 941, "audio": "audio/explanation__explanationjsonl2031.wav", "scene": "explanation", "language": "zh", "oral": "特产带两盒扶茶...不对，茯茶，茯是草字头下面一个伏天的伏，还有正糕，不是，甑糕，甑是上面一个曾经的曾下面一个瓦。", "clean": "特产带两盒茯茶，还有甑糕。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“特产带两盒”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 特产带两盒"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“扶茶...不对，茯茶，茯是草字头下面一个伏天的伏”处理成了“茯茶”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 扶茶...不对，茯茶，茯是草字头下面一个伏天的伏; clean: 茯茶"}, {"id": "q003", "category": "content", "question": "output中是否保留了“还有”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 还有"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“正糕，不是，甑糕，甑是上面一个曾经的曾下面一个瓦”处理成了“甑糕”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 正糕，不是，甑糕，甑是上面一个曾经的曾下面一个瓦; clean: 甑糕"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对...不是..."}]}
{"status": "success", "index": 946, "source_record_id": "explanation.jsonl:2036", "source_line": 946, "audio": "audio/explanation__explanationjsonl2036.wav", "scene": "explanation", "language": "zh", "oral": "家长群通知我发到飞书，飞是飞翔的飞，书是图书的书，视频再传哔哩哔哩，哔是口字旁一个毕，哩是口字旁一个里外的里。", "clean": "家长群通知我发到飞书，视频再传哔哩哔哩。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“飞是飞翔的飞，书是图书的书”处理成了“飞书”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '飞是飞翔的飞，书是图书的书' 是对 '飞书' 的字形解释"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“哔是口字旁一个毕，哩是口字旁一个里外的里”处理成了“哔哩哔哩”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: '哔是口字旁一个毕，哩是口字旁一个里外的里' 是对 '哔哩哔哩' 的字形解释"}, {"id": "q003", "category": "content", "question": "output中是否存在“家长群通知”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '家长群通知我发到飞书'"}, {"id": "q004", "category": "content", "question": "output中是否存在“视频再传”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: '视频再传哔哩哔哩'"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: '家长群通知我发到飞书，飞是飞翔的飞，书是图书的书，视频再传哔哩哔哩，哔是口字旁一个毕，哩是口字旁一个里外的里。'"}]}
{"status": "success", "index": 948, "source_record_id": "explanation.jsonl:2039", "source_line": 949, "audio": "audio/explanation__explanationjsonl2039.wav", "scene": "explanation", "language": "zh", "oral": "旧手机我还想看看魅族，魅是魅力的魅，新能源那边再问一下哪吒汽车，哪就是哪个的哪，吒是哪吒的吒。", "clean": "旧手机我还想看看魅族，新能源那边再问一下哪吒汽车。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“旧手机”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 旧手机我还想看看魅族"}, {"id": "q002", "category": "content", "question": "output中是否保留了“新能源”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 新能源那边再问一下哪吒汽车"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 魅是魅力的魅，哪就是哪个的哪，吒是哪吒的吒"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“魅是魅力的魅”处理成了去除解释并保留“魅族”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 魅是魅力的魅 / clean: 魅族"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“哪就是哪个的哪，吒是哪吒的吒”处理成了去除解释并保留“哪吒汽车”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 哪就是哪个的哪，吒是哪吒的吒 / clean: 哪吒汽车"}]}
{"status": "success", "index": 947, "source_record_id": "explanation.jsonl:2037", "source_line": 947, "audio": "audio/explanation__explanationjsonl2037.wav", "scene": "explanation", "language": "zh", "oral": "买鞋就上德物...不对，得物，得是得到的得，资料搜索用夸克，夸是夸奖的夸，克是克服的克。", "clean": "买鞋就上得物，资料搜索用夸克。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“德物...不对，得物”处理成了“得物”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 德物...不对，得物; clean: 得物"}, {"id": "q002", "category": "rephrase", "question": "output中是否去除了“得是得到的得”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 得是得到的得; clean: "}, {"id": "q003", "category": "rephrase", "question": "output中是否去除了“夸是夸奖的夸，克是克服的克”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 夸是夸奖的夸，克是克服的克; clean: "}, {"id": "q004", "category": "content", "question": "output中是否存在“买鞋”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 买鞋; clean: 买鞋"}, {"id": "q005", "category": "content", "question": "output中是否存在“资料搜索”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 资料搜索; clean: 资料搜索"}, {"id": "q006", "category": "content", "question": "output中是否存在“夸克”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "oral: 夸克; clean: 夸克"}, {"id": "q007", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对; clean: "}]}
{"status": "success", "index": 949, "source_record_id": "explanation.jsonl:2040", "source_line": 950, "audio": "audio/explanation__explanationjsonl2040.wav", "scene": "explanation", "language": "zh", "oral": "给孩子装小猿口算，小猿就是猿猴的猿，再顺便下一个作业帮，作是作业的作，帮是帮助的帮。", "clean": "给孩子装小猿口算，再顺便下一个作业帮。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“小猿口算”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 小猿口算"}, {"id": "q002", "category": "content", "question": "output中是否保留了“作业帮”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 作业帮"}, {"id": "q003", "category": "content", "question": "output中是否保留了“给孩子装”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 给孩子装"}, {"id": "q004", "category": "content", "question": "output中是否保留了“再顺便下一个”？", "options": [{"text": "完整保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 再顺便下一个"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 给孩子装小猿口算，小猿就是猿猴的猿，再顺便下一个作业帮，作是作业的作，帮是帮助的帮。"}, {"id": "q006", "category": "rephrase", "question": "output中是否去除了“小猿就是猿猴的猿”这一解释拼写的语句？", "options": [{"text": "去除了该解释性语句", "score": 2}, {"text": "没有去除该解释性语句", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 小猿就是猿猴的猿"}, {"id": "q007", "category": "rephrase", "question": "output中是否去除了“作是作业的作，帮是帮助的帮”这一解释拼写的语句？", "options": [{"text": "去除了该解释性语句", "score": 2}, {"text": "没有去除该解释性语句", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 作是作业的作，帮是帮助的帮"}]}
{"status": "success", "index": 950, "source_record_id": "explanation.jsonl:2038", "source_line": 948, "audio": "audio/explanation__explanationjsonl2038.wav", "scene": "explanation", "language": "zh", "oral": "试驾先约蔚来，蔚是蔚蓝的蔚，另外岚图那边也帮我问一下，岚是山风的岚。", "clean": "试驾先约蔚来，另外岚图那边也帮我问一下。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“试驾先约蔚来”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 试驾先约蔚来"}, {"id": "q002", "category": "content", "question": "output中是否保留了“另外岚图那边也帮我问一下”？", "options": [{"text": "完整或等价保留", "score": 1}, {"text": "部分保留或近似但不完整", "score": 0}, {"text": "缺失或含义相反", "score": -1}], "evidence": "clean: 另外岚图那边也帮我问一下"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 试驾先约蔚来，蔚是蔚蓝的蔚，另外岚图那边也帮我问一下，岚是山风的岚。"}, {"id": "q004", "category": "rephrase", "question": "output中是否去除了“蔚是蔚蓝的蔚”的解释性语句，并保留了“蔚来”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 蔚是蔚蓝的蔚, clean: 蔚来"}, {"id": "q005", "category": "rephrase", "question": "output中是否去除了“岚是山风的岚”的解释性语句，并保留了“岚图”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 岚是山风的岚, clean: 岚图"}]}
{"status": "success", "index": 951, "source_record_id": "explanation.jsonl:2042", "source_line": 952, "audio": "audio/explanation__explanationjsonl2042.wav", "scene": "explanation", "language": "zh", "oral": "合同收件人是洛宁...不是，珞宁，珞是王字旁一个各自的各，另一个叫砚秋，砚是砚台的砚。", "clean": "合同收件人是珞宁，另一个叫砚秋。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“洛宁...不是，珞宁，珞是王字旁一个各自的各”处理成了“珞宁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"洛宁...不是，珞宁，珞是王字旁一个各自的各\", clean: \"珞宁\""}, {"id": "q002", "category": "rephrase", "question": "output中是否将“砚秋，砚是砚台的砚”处理成了“砚秋”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: \"砚秋，砚是砚台的砚\", clean: \"砚秋\""}, {"id": "q003", "category": "content", "question": "output中是否存在“合同收件人是”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"合同收件人是\""}, {"id": "q004", "category": "content", "question": "output中是否存在“另一个叫”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: \"另一个叫\""}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: \"洛宁...不是\", clean: \"珞宁\""}]}
{"status": "success", "index": 953, "source_record_id": "explanation.jsonl:2043", "source_line": 953, "audio": "audio/explanation__explanationjsonl2043.wav", "scene": "explanation", "language": "zh", "oral": "下午来取件的是肖然...不对，骁然，骁是骁勇的骁，还有一个瑞禾，不是，芮禾，芮是草字头下面一个内外的内。", "clean": "下午来取件的是骁然，还有一个芮禾。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“下午来取件的是”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 下午来取件的是"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“肖然...不对，骁然，骁是骁勇的骁”处理成了“骁然”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 肖然...不对，骁然，骁是骁勇的骁; clean: 骁然"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“瑞禾，不是，芮禾，芮是草字头下面一个内外的内”处理成了“芮禾”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 瑞禾，不是，芮禾，芮是草字头下面一个内外的内; clean: 芮禾"}, {"id": "q004", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对, 不是, 骁是骁勇的骁, 芮是草字头下面一个内外的内"}]}
{"status": "success", "index": 952, "source_record_id": "explanation.jsonl:2041", "source_line": 951, "audio": "audio/explanation__explanationjsonl2041.wav", "scene": "explanation", "language": "zh", "oral": "签到表上写云川...不对，昀川，昀是日字旁一个匀称的匀，旁边那个是沐岑，岑是岑寂的岑。", "clean": "签到表上写昀川，旁边那个是沐岑。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“签到表”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "签到表上写昀川，旁边那个是沐岑。"}, {"id": "q002", "category": "content", "question": "output中是否存在“写”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "签到表上写昀川，旁边那个是沐岑。"}, {"id": "q003", "category": "content", "question": "output中是否存在“旁边”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "签到表上写昀川，旁边那个是沐岑。"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“云川...不对，昀川，昀是日字旁一个匀称的匀”处理成了“昀川”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "签到表上写云川...不对，昀川，昀是日字旁一个匀称的匀 -> 签到表上写昀川"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“沐岑，岑是岑寂的岑”处理成了“沐岑”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "旁边那个是沐岑，岑是岑寂的岑 -> 旁边那个是沐岑"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "云川...不对，昀川"}]}
{"status": "success", "index": 954, "source_record_id": "explanation.jsonl:2044", "source_line": 954, "audio": "audio/explanation__explanationjsonl2044.wav", "scene": "explanation", "language": "zh", "oral": "作品集发给许安...不对，栩安，栩是栩栩如生的栩，再抄送乔宁，不是，荞宁，荞是荞麦的荞。", "clean": "作品集发给栩安，再抄送荞宁。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“许安...不对，栩安，栩是栩栩如生的栩”处理成了“栩安”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 许安...不对，栩安，栩是栩栩如生的栩 -> clean: 栩安"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“乔宁，不是，荞宁，荞是荞麦的荞”处理成了“荞宁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 乔宁，不是，荞宁，荞是荞麦的荞 -> clean: 荞宁"}, {"id": "q003", "category": "content", "question": "output中是否存在“作品集”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 作品集"}, {"id": "q004", "category": "content", "question": "output中是否存在“发给”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 发给"}, {"id": "q005", "category": "content", "question": "output中是否存在“再抄送”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 再抄送"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对, 不是"}]}
{"status": "success", "index": 955, "source_record_id": "explanation.jsonl:2045", "source_line": 955, "audio": "audio/explanation__explanationjsonl2045.wav", "scene": "explanation", "language": "zh", "oral": "晚上的包厢订在陈屿...不对，岑屿，岑是岑寂的岑，最后到的人叫棠溪，棠是海棠的棠。", "clean": "晚上的包厢订在岑屿名下，最后到的人叫棠溪。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“晚上的包厢”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 晚上的包厢"}, {"id": "q002", "category": "content", "question": "output中是否保留了“订在岑屿名下”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 订在岑屿名下"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“陈屿...不对，岑屿，岑是岑寂的岑”处理成了“岑屿”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 陈屿...不对，岑屿，岑是岑寂的岑 / clean: 岑屿"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“棠溪，棠是海棠的棠”处理成了“棠溪”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 棠溪，棠是海棠的棠 / clean: 棠溪"}, {"id": "q005", "category": "content", "question": "output中是否保留了“最后到的人”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 最后到的人"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 陈屿...不对，岑屿 / clean: 岑屿"}]}
{"status": "success", "index": 957, "source_record_id": "explanation.jsonl:2048", "source_line": 958, "audio": "audio/explanation__explanationjsonl2048.wav", "scene": "explanation", "language": "zh", "oral": "接站牌写穷音...不是，邛音，邛是工人的工右边一个双耳旁，同行的瑞岚，不对，芮岚，芮是草字头下面一个内外的内。", "clean": "接站牌写邛音，同行的是芮岚。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“接站牌”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 接站牌写邛音"}, {"id": "q002", "category": "content", "question": "output中是否存在“同行”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 同行的是芮岚"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 穷音...不是 / 不对"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“穷音...不是，邛音，邛是工人的工右边一个双耳旁”处理成了“邛音”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 穷音...不是，邛音，邛是工人的工右边一个双耳旁; clean: 邛音"}, {"id": "q005", "category": "rephrase", "question": "output中是否将“瑞岚，不对，芮岚，芮是草字头下面一个内外的内”处理成了“芮岚”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 瑞岚，不对，芮岚，芮是草字头下面一个内外的内; clean: 芮岚"}]}
{"status": "success", "index": 956, "source_record_id": "explanation.jsonl:2046", "source_line": 956, "audio": "audio/explanation__explanationjsonl2046.wav", "scene": "explanation", "language": "zh", "oral": "讲义先给仪川...不是，沂川，沂是沂河的沂，另外纸宁，不对，祉宁，祉是福祉的祉，也要一份。", "clean": "讲义先给沂川，另外祉宁也要一份。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否存在“讲义先给”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 讲义先给"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“仪川...不是，沂川，沂是沂河的沂”处理成了“沂川”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 仪川...不是，沂川，沂是沂河的沂; clean: 沂川"}, {"id": "q003", "category": "content", "question": "output中是否存在“另外”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 另外"}, {"id": "q004", "category": "rephrase", "question": "output中是否将“纸宁，不对，祉宁，祉是福祉的祉”处理成了“祉宁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 纸宁，不对，祉宁，祉是福祉的祉; clean: 祉宁"}, {"id": "q005", "category": "content", "question": "output中是否存在“也要一份”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 也要一份"}, {"id": "q006", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不是...不对..."}]}
{"status": "success", "index": 958, "source_record_id": "explanation.jsonl:2049", "source_line": 959, "audio": "audio/explanation__explanationjsonl2049.wav", "scene": "explanation", "language": "zh", "oral": "预约名单里一个叫浪宁...不对，阆宁，阆是阆中古城的阆，另一个叫砚棠，砚是砚台的砚，棠是海棠的棠。", "clean": "预约名单里一个叫阆宁，另一个叫砚棠。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "content", "question": "output中是否保留了“预约名单”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 预约名单"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“浪宁...不对，阆宁，阆是阆中古城的阆”处理成了“阆宁”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 浪宁...不对，阆宁，阆是阆中古城的阆; clean: 阆宁"}, {"id": "q003", "category": "rephrase", "question": "output中是否将“砚棠，砚是砚台的砚，棠是海棠的棠”处理成了“砚棠”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 砚棠，砚是砚台的砚，棠是海棠的棠; clean: 砚棠"}, {"id": "q004", "category": "content", "question": "output中是否保留了“另一个叫”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 另一个叫"}, {"id": "q005", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: ...不对，阆...阆宁"}]}
{"status": "success", "index": 959, "source_record_id": "explanation.jsonl:2047", "source_line": 957, "audio": "audio/explanation__explanationjsonl2047.wav", "scene": "explanation", "language": "zh", "oral": "民宿登记鹿遥...不对，麓遥，麓是山麓的麓，同行的是加禾，不是，珈禾，珈是王字旁一个加法的加。", "clean": "民宿登记麓遥，同行的是珈禾。", "generator": {"api_url": "https://llm-vs0ely5o1pbfdto2.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions", "model": "qwen3.7-plus"}, "qa": [{"id": "q001", "category": "rephrase", "question": "output中是否将“鹿遥...不对，麓遥，麓是山麓的麓”处理成了“麓遥”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 民宿登记鹿遥...不对，麓遥，麓是山麓的麓; clean: 民宿登记麓遥"}, {"id": "q002", "category": "rephrase", "question": "output中是否将“加禾，不是，珈禾，珈是王字旁一个加法的加”处理成了“珈禾”？", "options": [{"text": "进行了相同处理", "score": 2}, {"text": "去除了解释性语句但没保留最终结果", "score": 1}, {"text": "没有去除", "score": 0}, {"text": "output中没有相关话语", "score": -1}], "evidence": "oral: 同行的是加禾，不是，珈禾，珈是王字旁一个加法的加; clean: 同行的是珈禾"}, {"id": "q003", "category": "filter", "question": "output中是否出现了oral中的口语词，或重复词语情况？", "options": [{"text": "不存在", "score": 2}, {"text": "仍存在", "score": 0}], "evidence": "oral: 民宿登记鹿遥...不对，麓遥，麓是山麓的麓，同行的是加禾，不是，珈禾，珈是王字旁一个加法的加; clean: 民宿登记麓遥，同行的是珈禾。"}, {"id": "q004", "category": "content", "question": "output中是否存在“民宿登记”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 民宿登记麓遥，同行的是珈禾。"}, {"id": "q005", "category": "content", "question": "output中是否存在“同行的是”？", "options": [{"text": "有", "score": 1}, {"text": "没有这个词或只有一部分", "score": 0}, {"text": "和这个词含义相反", "score": -1}], "evidence": "clean: 民宿登记麓遥，同行的是珈禾。"}]}