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Browse files- examples.json +4 -4
examples.json
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["男人走进房间, 上床, 压上", 512, 0.75, 0.35, 1.8, "qgyd2021/chinese_porn_novel", false],
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[
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"电销场景意图识别。如果不能确定,请输出 “未知意图”。\n\nExamples:\n------------\ntext: 没关系啦 知道的\nintent: 肯定答复\n------------\ntext: 怎么能联系你\nintent: 查联系方式\n------------\ntext: 恩。让我想想吧。\nintent: 考虑一下\n------------\ntext: 说点有用的\nintent: 请讲重点\n------------\ntext: 唉唉\nintent: 语气词\n------------\ntext: 说快一点\nintent: 请讲重点\n------------\ntext: 再介绍一下\nintent: 要求复述\n------------\ntext: 从哪弄到我信息\nintent: 质疑隐私安全\n------------\ntext: 哎。。不是的\nintent: 不是\n------------\ntext: 给我电话号码\nintent: 查联系方式\n------------\ntext: 先看看吧\nintent: 考虑一下\n------------\ntext: 怎么知道道我的信息\nintent: 质疑隐私安全\n------------\ntext: 哎,再说吧,我再想想\nintent: 考虑一下\n------------\ntext: 不,我清醒。\nintent: 不是\n------------\ntext: 重说一次\nintent: 要求复述\n------------\ntext: 行了,晚安\nintent: 肯定答复\n------------\ntext: 额额额额\nintent: 语气词\n------------\ntext: 恩。哎再说吧我考虑一下hiahia\nintent:\n",
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128, 0.75, 0.35, 1.2, "qgyd2021/
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],
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[
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"意图识别。\n\nExamples:\n------------\ntext: 打开风扇\nintent: 开启\n------------\ntext: 关闭电视\nintent: 关闭\n------------\ntext: 把风扇关了吧\nintent: 关闭\n------------\ntext: 电视开开\nintent: 开启\n------------\ntext: 开灯\nintent:",
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128, 0.75, 0.35, 1.2, "qgyd2021/
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],
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[
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"few-shot intent recognition. output: \"other\" when not sure. \n\nexamples: \n---\ntext: Hello\nintent: greeting\n---\ntext: Thank you :)\nintent: thank\n---\ntext: Hi I got my parcel and shoes, thank you. \nintent: delivery\n---\ntext: I want to make order\nintent: place order\n---\ntext: And I want to make sure that you are from where ?\nintent: place of production\n---\ntext: hello\nintent: ",
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128, 0.75, 0.35, 1.2, "qgyd2021/
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],
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[
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"I am trying to arrange a return and credit for my order for the last few days but the transaction will not process through my iphone or iPad.\nI have now reverted to laptop.\n\nintent recognization. \n\noptions:\n- order\n- refund\n- track order\n- greeting\n- thank\n- discount\n\noutput:",
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128, 0.75, 0.35, 1.2, "qgyd2021/
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],
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[
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"entity recognition.\n\nwhat entity type to extract ?\n\"LOC\", \"ORG\".\n\nexamples:\ntext: COMMACK , New York 1996-08-24\noutput: <LOC>COMMACK</LOC> , <LOC>New York</LOC> 1996-08-24\n\ntext: Arsenal 3 2 0 1 4 2 6\noutput: <ORG>Arsenal</ORG> 3 2 0 1 4 2 6\n\ntext: PHILADELPHIA 7 10 .412 6 1/2\noutput:",
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["男人走进房间, 上床, 压上", 512, 0.75, 0.35, 1.8, "qgyd2021/chinese_porn_novel", false],
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[
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"电销场景意图识别。如果不能确定,请输出 “未知意图”。\n\nExamples:\n------------\ntext: 没关系啦 知道的\nintent: 肯定答复\n------------\ntext: 怎么能联系你\nintent: 查联系方式\n------------\ntext: 恩。让我想想吧。\nintent: 考虑一下\n------------\ntext: 说点有用的\nintent: 请讲重点\n------------\ntext: 唉唉\nintent: 语气词\n------------\ntext: 说快一点\nintent: 请讲重点\n------------\ntext: 再介绍一下\nintent: 要求复述\n------------\ntext: 从哪弄到我信息\nintent: 质疑隐私安全\n------------\ntext: 哎。。不是的\nintent: 不是\n------------\ntext: 给我电话号码\nintent: 查联系方式\n------------\ntext: 先看看吧\nintent: 考虑一下\n------------\ntext: 怎么知道道我的信息\nintent: 质疑隐私安全\n------------\ntext: 哎,再说吧,我再想想\nintent: 考虑一下\n------------\ntext: 不,我清醒。\nintent: 不是\n------------\ntext: 重说一次\nintent: 要求复述\n------------\ntext: 行了,晚安\nintent: 肯定答复\n------------\ntext: 额额额额\nintent: 语气词\n------------\ntext: 恩。哎再说吧我考虑一下hiahia\nintent:\n",
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128, 0.75, 0.35, 1.2, "qgyd2021/few_shot_intent_gpt2_base", true
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],
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[
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"意图识别。\n\nExamples:\n------------\ntext: 打开风扇\nintent: 开启\n------------\ntext: 关闭电视\nintent: 关闭\n------------\ntext: 把风扇关了吧\nintent: 关闭\n------------\ntext: 电视开开\nintent: 开启\n------------\ntext: 开灯\nintent:",
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128, 0.75, 0.35, 1.2, "qgyd2021/few_shot_intent_gpt2_base", true
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],
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[
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"few-shot intent recognition. output: \"other\" when not sure. \n\nexamples: \n---\ntext: Hello\nintent: greeting\n---\ntext: Thank you :)\nintent: thank\n---\ntext: Hi I got my parcel and shoes, thank you. \nintent: delivery\n---\ntext: I want to make order\nintent: place order\n---\ntext: And I want to make sure that you are from where ?\nintent: place of production\n---\ntext: hello\nintent: ",
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128, 0.75, 0.35, 1.2, "qgyd2021/few_shot_intent_gpt2_base", true
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],
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[
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"I am trying to arrange a return and credit for my order for the last few days but the transaction will not process through my iphone or iPad.\nI have now reverted to laptop.\n\nintent recognization. \n\noptions:\n- order\n- refund\n- track order\n- greeting\n- thank\n- discount\n\noutput:",
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128, 0.75, 0.35, 1.2, "qgyd2021/few_shot_intent_gpt2_base", true
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],
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[
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"entity recognition.\n\nwhat entity type to extract ?\n\"LOC\", \"ORG\".\n\nexamples:\ntext: COMMACK , New York 1996-08-24\noutput: <LOC>COMMACK</LOC> , <LOC>New York</LOC> 1996-08-24\n\ntext: Arsenal 3 2 0 1 4 2 6\noutput: <ORG>Arsenal</ORG> 3 2 0 1 4 2 6\n\ntext: PHILADELPHIA 7 10 .412 6 1/2\noutput:",
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