Upload 8 files
Browse files- all_queries.txt +183 -0
- data.json +38 -0
- data_ins.py +44 -0
- data_prompt.py +60 -0
- m_app_m_step.json +0 -0
- query.py +25 -0
- s_app_m_step.json +0 -0
- s_app_s_step.json +0 -0
all_queries.txt
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@@ -0,0 +1,183 @@
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1 |
+
我想用喜马拉雅听口语天天练
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2 |
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用喜马拉雅播放历史记录
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3 |
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打开便签
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4 |
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我要看最近拍摄的照片
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5 |
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搜索北京市的照片
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6 |
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搜索昨天的照片
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打开携程旅行
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8 |
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卸载高德地图
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9 |
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卸载高德地图
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10 |
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查看QQ好友动态
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11 |
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我想发QQ信息给列表第一个人
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12 |
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我想发条QQ信息给小爱
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13 |
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打开大众点评
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14 |
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用大众点评搜索附近美食|附近有什么好吃的
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15 |
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用大众点评搜附近的火锅|我想用大众点评找一下附近的火锅店
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16 |
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用大众点评查找知春路附近的美食
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打开大众点评收藏
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用大众点评搜索周边游
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用大众点评搜索酒店
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用大众点评搜索休闲娱乐
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打开大众点评亲子榜
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打开大众点评酒店榜
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打开大众点评丽人榜
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打开大众点评购物榜
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打开大众点评休娱榜
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打开大众点评景点榜
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打开大众点评美食榜
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打开大众点评网红店榜
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用大众点评搜索KTV
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用大众点评搜索美发
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用大众点评打开附近的火锅
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用大众点评搜索电影
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打开拼多多充值中心|拼多多充话费
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打开拼多多客服
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打开拼多多收金币|打开拼多多金猪赚大钱
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打开拼多多断码清仓
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打开拼多多限时秒杀
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打开拼多多
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拼多多现金签到|拼多多签到|打开拼多多现金签到
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打开拼多多搜索纸巾
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拼多多种树|拼多多浇水|打开拼多多多多果园|打开拼多多农场|微信登录
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打开拼多多搜索
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拼多多快递
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查看拼多多订单
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拼多多物流
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播放爱奇艺离线视频|打开爱奇艺播放离线视频
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打开爱奇艺会员页面
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打开爱奇艺我的
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打开爱奇艺随刻视频
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打开爱奇艺播放战狼二
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爱奇艺风云榜
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打开爱奇艺扫一扫
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打开爱奇艺我的收藏
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打开QQ音乐
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打开QQ音乐搜索
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打开QQ音乐放一首歌
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播放QQ音乐
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用QQ音乐播放摇滚乐
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打开QQ音乐播放张碧晨和杨宗纬的歌
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打开QQ音乐流行指数榜
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播放QQ音乐我喜欢的音乐
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播放QQ音乐新歌推荐
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打开微博查看艾特我的内容
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打开微博查看我的评论|打开微博查看评论
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打开微博查看点赞
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66 |
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打开微博看新闻
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打开微博看榜单
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打开微博看热搜
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发微博说今天天气很好
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打开微博看一下视频
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打开微博查看艾特我的内容|打开微博查看@我的内容
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打开微博查看好友圈
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打开抖音首页
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打开抖音热搜榜|打开抖音热搜
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打开抖音关注
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打开抖音消息
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打开抖音看视频
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打开抖音搜索搞笑视频
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帮我记一下明天要和小明开会
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在便签中搜索开会
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新建便签
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打开笔记
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在便签中搜索买菜
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打开录音机
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打开录音文件
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打开录音设置
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87 |
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打开小米视频会员页面
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88 |
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打开小米视频我的收藏|用小米视频打开我的收藏
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89 |
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打开小米视频影视页面
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90 |
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打开小米视频我的视频|打开小米视频我的
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91 |
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打开小米视频播放历史|打开小米视频历史记录
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92 |
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打开小米视频我的离线
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93 |
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打开小米视频搜索暗战
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94 |
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打开小米视频搜索熊出没
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打开小米视频军事频道
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打开小米视频直播
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美术的特点是什么
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98 |
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五氧化二磷会不会跟盐酸反应
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99 |
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麻雀飞得快还是老鹰飞得快
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100 |
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搜索辽宁的211大学
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101 |
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清明节是几号
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102 |
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今天是几号
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103 |
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今天是几号|今天几号了
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104 |
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今天几月几号
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105 |
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中元节是农历几月几号
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106 |
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7月1日是什么节日
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107 |
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7月15日是什么节日
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108 |
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明天早上0点叫我起床
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109 |
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每周一早上八点叫我早点起床
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110 |
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工作日早上八点叫我起床
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111 |
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打开闹钟
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112 |
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查询倒计时
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113 |
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修改倒计时
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114 |
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打开腾讯视频|下载腾讯视频
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115 |
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打开美团
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116 |
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打开QQ音乐
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117 |
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打开喜马拉雅
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118 |
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打开优酷视频
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119 |
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打开QQ
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120 |
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打开指南针
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121 |
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打开抖音
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122 |
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打开快手
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123 |
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小米扫一扫
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124 |
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打开滴滴
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125 |
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打开计时器
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126 |
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打开新浪网
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127 |
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打开应用至尊蓝月
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128 |
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打开QQ扫一扫
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129 |
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打开QQ游戏
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130 |
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打开QQ微视
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131 |
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打开QQ坦白说
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132 |
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用百度地图骑车去朝阳大悦城
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133 |
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我要导航北京大学
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134 |
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我的位置|我在哪里
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135 |
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打开导航
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136 |
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上班导航
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137 |
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使用百度地图打车
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138 |
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屏幕亮度增加30%
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139 |
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屏幕亮度调到80
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140 |
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音量调到零
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141 |
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打开蓝牙|帮我打开蓝牙|开启蓝牙
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142 |
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关闭蓝牙
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143 |
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打开热点|打开个人热点|打开手机热点
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144 |
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打开wifi设置
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145 |
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关闭个人热点|关闭热点
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146 |
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打开WIFI|连接网络|连接WIFI|打开无线网络|打开WIFI
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147 |
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关闭飞行模式
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148 |
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打开NFC|设置NFC
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149 |
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勿扰模式
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150 |
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关闭gps|打开定位|关闭位置服务|打开gps|打开GPS
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151 |
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关闭流量|关闭数据流量|关闭数据网络|关闭移动数据|关闭数据
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152 |
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打开勿扰模式|开启勿扰模式
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153 |
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关闭勿扰模式
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154 |
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打开静音
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155 |
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关闭静音模式|取消静音|关闭静音
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156 |
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方向锁定
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157 |
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打开省电模式|开启省电模式
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158 |
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关闭省电模式|关掉省电模式
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159 |
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打开talkback|开启屏幕阅读器
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160 |
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打开颜色反转|颜色反转
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161 |
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关闭颜色反转
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162 |
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设置音乐播放源|音乐播放源|更改音乐源
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163 |
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将QQ音乐设置为音乐源
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164 |
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将小米音乐设置为默认音乐播放源
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165 |
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将网易云音乐设置为我的播放源|将网易云音乐设置为音乐源|设置网易云音乐为播放源|设置网易云音乐为音乐默认播放源|将网易云音乐变更为默认音乐源
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166 |
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设置音乐播放源
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167 |
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明天上午10点提醒我买菜
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168 |
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打开振动模式
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169 |
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关闭振动模式
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170 |
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打开桌面设置页面
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171 |
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关闭同步
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172 |
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关闭语音唤醒
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173 |
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打开语音唤醒
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174 |
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打开地震报警
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175 |
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打开5G网络
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176 |
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关闭5G
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177 |
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打开热点
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178 |
+
下周二天气怎么样
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179 |
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未来一周的温度
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180 |
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今天北京有雨吗?空气质量怎么样?温度怎么样?
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181 |
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这周末上海的天气怎么样|周末的天气
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182 |
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明天的空气质量|今天的空气质量
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183 |
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北京明天下雨吗?
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data.json
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[
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{
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"id": 888,
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"case": {
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5 |
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"app": "计算器",
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6 |
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"query":
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7 |
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"Calculate 7*22-3"
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8 |
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},
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9 |
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"check_point": {
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10 |
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"package": "com.miui.calculator",
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11 |
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"activity": "com.miui.calculator",
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12 |
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"resource-id": "",
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13 |
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"text": ["&", "7", "乘", "2", "3"]
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14 |
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},
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15 |
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"skip_condition": {}
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16 |
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},
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17 |
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{
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18 |
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"id": 277,
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19 |
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"case": {
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20 |
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"package": "com.miui.calculator",
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21 |
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"app": "计算器",
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22 |
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"action": "",
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23 |
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"case_tag": "p5|intent",
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24 |
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"cid": "C248530013",
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25 |
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"feature": "",
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26 |
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"owner": " ",
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27 |
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"query":
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28 |
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"Calculate 7*2.2-4+1"
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29 |
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},
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30 |
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"check_point": {
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31 |
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"activity": "com.miui.calculator",
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32 |
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"resource-id": "",
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33 |
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"text": ["&", "7", "2", "加"]
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34 |
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},
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35 |
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"domain": "smartApp/other",
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36 |
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"skip_condition": {}
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37 |
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}
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38 |
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]
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data_ins.py
ADDED
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import subprocess
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import sys
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import time
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import json
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from appium.webdriver.common.touch_action import TouchAction
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# from appium.webdriver.common.mobileby import MobileBy
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from selenium.webdriver.common.by import By
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from appium.webdriver.common.mobileby import MobileBy
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from appium import webdriver
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from agent_for_api.API_list import usr_api_list
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from agent_for_api.agent_api_prompt import select_api_prompt, select_api_example
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from agent_for_api.main_for_api import get_api_list
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14 |
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from data_prompt import *
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15 |
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from app_list import *
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16 |
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from agent_for_api.API_list import *
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from selenium.common.exceptions import WebDriverException, InvalidElementStateException, NoSuchElementException
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from app_list import app_list
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from chatgpt import chatgpt
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import re
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if __name__ == '__main__':
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# prompt = data_prompt.format(task_description=multiapp_description,
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# examples=multiapp_examples, app_list=app_list, api_list=usr_api_list, requirement=multiapp_requirement)
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# # print(prompt)
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27 |
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# res = chatgpt(prompt)[0]
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# # print(res)
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# with open("data_instruction.txt", "a") as outfile:
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# outfile.write(res)
|
31 |
+
with open('s_app_s_step.json', 'r', encoding='UTF-8') as file:
|
32 |
+
data = json.load(file)
|
33 |
+
# 使用字典统计每个domain的数量
|
34 |
+
domain_count = {}
|
35 |
+
for item in data:
|
36 |
+
domain = item['domain']
|
37 |
+
if domain in domain_count:
|
38 |
+
domain_count[domain] += 1
|
39 |
+
else:
|
40 |
+
domain_count[domain] = 1
|
41 |
+
# 输出结果
|
42 |
+
print(len(domain_count))
|
43 |
+
for domain, count in domain_count.items():
|
44 |
+
print(f"{domain}: {count}")
|
data_prompt.py
ADDED
@@ -0,0 +1,60 @@
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|
1 |
+
data_prompt = '''
|
2 |
+
[Task description]:{task_description}
|
3 |
+
[Examples]:{examples}
|
4 |
+
[Sampled APP list]:{app_list}
|
5 |
+
[Sampled API list]:{api_list}
|
6 |
+
[Other requirements]:{requirement}'''
|
7 |
+
|
8 |
+
multiapp_requirement = '''
|
9 |
+
Please produce ten queries in line with the given requirements and inputs. These ten queries should display a diverse range of sentence structures:
|
10 |
+
some queries should be in the form of imperative sentences, others declarative, and yet others interrogative.
|
11 |
+
Equally, they should encompass a variety of tones, with some being polite, others straightforward. Ensure they vary in length and contain a wide range of subjects:
|
12 |
+
myself, my friends, family, and company.
|
13 |
+
Keep in mind that for each query, invoking just one APP won’t suffice; each query should call upon two to five APPs.
|
14 |
+
Aim to include a number of engaging queries as long as they relate to APP calls.
|
15 |
+
However, try to avoid explicitly specifying which APP to employ in the query. Each query should consist of a minimum of twenty words.
|
16 |
+
'''
|
17 |
+
|
18 |
+
'''For instance, if the APP ‘Traveloka’ has function description:
|
19 |
+
'Get exclusive travel deals and enjoy the award-winning customer service! Traveloka app is your one-stop travel platform! Book with us for great deals on:
|
20 |
+
Flights: International and domestic flights at great rates
|
21 |
+
Hotels: Choose from over 1.2million hotels, resorts, and apartments around the world
|
22 |
+
Trains: Book tickets for United Kingdom, Germany, Italy, Spain, France, Switzerland, South Korea, and more.'
|
23 |
+
Your query should articulate something akin to: 'I am going on a business trip to Xiaomi Technology Park in Beijing this Friday.
|
24 |
+
Please help me check the suitable air tickets and train tickets, and then help me check the following hotels closest to there.'
|
25 |
+
This query exemplifies how to take advantage of all of the ‘Traveloka’ app features. '''
|
26 |
+
|
27 |
+
multiapp_description = '''
|
28 |
+
You will be provided with an available APP list with descriptions, an available API list including ADB Command, Function Description and Parameter Information.
|
29 |
+
Your task involves creating 10 varied, innovative, and detailed user queries that employ multiple APPs of a tool, API can be used as an auxiliary to provide basic functions.
|
30 |
+
|
31 |
+
Additionally, you must incorporate the input parameters required for each call.
|
32 |
+
Generate random information for required parameters such as IP address, location, coordinates, etc.
|
33 |
+
For instance, don’t merely say ‘an address’, provide the exact road and district names.
|
34 |
+
Don’t just mention ‘a product’, specify wearables, milk, a blue blanket, a pan, etc.
|
35 |
+
Don’t refer to ‘my home’, use a name of a real place.
|
36 |
+
|
37 |
+
The first seven of the ten queries should be very specific.
|
38 |
+
Each single query should combine at least two APPs in different ways and include the necessary parameters.
|
39 |
+
Note that you shouldn’t ask ‘which APP to use’, rather, simply state your needs that can be addressed by these APPs.
|
40 |
+
You should also avoid asking for the input parameters required by the APP call, but instead directly provide the parameter in your query.
|
41 |
+
The final three queries should be complex and lengthy, describing a complicated scenario where all the APPs can be utilized to provide assistance within a single query.
|
42 |
+
|
43 |
+
You should first think about possible related APP combinations, then give your query.
|
44 |
+
The final queries should be complex and lengthy, describing a complicated scenario where all the APP calls can be utilized to provide assistance within these queries.
|
45 |
+
You should first think about possible related APP and API combinations, then give your query. Related APP and apis can be used for a give query;
|
46 |
+
those Related APP and apis have to strictly come from the provided lists. For different queries, overlap of related APPs should be as little as possible.
|
47 |
+
Deliver your response in this format:
|
48 |
+
[Query1: ......, ‘related APPs’:[api1, api2, api3...],Query2: ......, ‘related APPs’:[api4, api5, api6...],Query3: ......, ‘related APPs’:[api1, api7, api9...], ...]
|
49 |
+
'''
|
50 |
+
|
51 |
+
multiapp_examples = '''
|
52 |
+
“Query”: “My fiancée and I are about to go to California for our honeymoon. The travel time is not important, but you need to recommend a suitable hotel to me. At least you need to tell me about the swimming pool, restaurant, Wifi, and elevators. As far as I know, there are many suitable hotels in California. For travel activities, please make a simple arrangement for us, including where you need to go every day, how much it costs, and how long you can travel for.”,
|
53 |
+
“related APPs”: [’Traveloka’, ‘Google Search’, ‘Maps’, ‘Weather’]
|
54 |
+
“Query”: “Who is Trump? Can you tell me about his life? As far as I know, he likes to participate in public welfare undertakings. Are there any recent news reports about his participation in public welfare activities? tell me the details.”,
|
55 |
+
“related APPs”: [’BBC News’, ‘Wikipedia’]
|
56 |
+
'''
|
57 |
+
|
58 |
+
sample_apiapp = '''
|
59 |
+
|
60 |
+
'''
|
m_app_m_step.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
query.py
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import json
|
2 |
+
|
3 |
+
# Load JSON file
|
4 |
+
with open('s_app_s_step.json', 'r', encoding='utf-8') as file:
|
5 |
+
data = json.load(file)
|
6 |
+
|
7 |
+
# Extract all query values and join them with newlines
|
8 |
+
query_list = []
|
9 |
+
for entry in data:
|
10 |
+
queries = entry.get('query', [])
|
11 |
+
for query in queries:
|
12 |
+
# Ensure each query is a string
|
13 |
+
if isinstance(query, dict):
|
14 |
+
query_list.append(json.dumps(query, ensure_ascii=False)) # Convert dict to JSON string if needed
|
15 |
+
else:
|
16 |
+
query_list.append(query)
|
17 |
+
|
18 |
+
# Join queries with newline separator
|
19 |
+
all_queries = '\n'.join(query_list)
|
20 |
+
|
21 |
+
# Write to a new file
|
22 |
+
with open('all_queries.txt', 'w', encoding='utf-8') as output_file:
|
23 |
+
output_file.write(all_queries)
|
24 |
+
|
25 |
+
print("All queries have been saved to all_queries.txt")
|
s_app_m_step.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
s_app_s_step.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|