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2024-06-01
10
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are []. *** Date: 2024-06-01, Fine dust average value: 10 [END DATA]
2024-06-02
11
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10]. *** Date: 2024-06-02, Fine dust average value: 11 [END DATA]
2024-06-03
8
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10, 11]. *** Date: 2024-06-03, Fine dust average value: 8 [END DATA]
2024-06-04
10
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10, 11, 8]. *** Date: 2024-06-04, Fine dust average value: 10 [END DATA]
2024-06-05
25
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10, 11, 8, 10]. *** Date: 2024-06-05, Fine dust average value: 25 [END DATA]
2024-06-06
27
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10, 11, 8, 10, 25]. *** Date: 2024-06-06, Fine dust average value: 27 [END DATA]
2024-06-07
35
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [11, 8, 10, 25, 27]. *** Date: 2024-06-07, Fine dust average value: 35 [END DATA]
2024-06-08
16
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [8, 10, 25, 27, 35]. *** Date: 2024-06-08, Fine dust average value: 16 [END DATA]
2024-06-09
26
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [10, 25, 27, 35, 16]. *** Date: 2024-06-09, Fine dust average value: 26 [END DATA]
2024-06-10
48
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [25, 27, 35, 16, 26]. *** Date: 2024-06-10, Fine dust average value: 48 [END DATA]
2024-06-11
36
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [27, 35, 16, 26, 48]. *** Date: 2024-06-11, Fine dust average value: 36 [END DATA]
2024-06-12
24
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [35, 16, 26, 48, 36]. *** Date: 2024-06-12, Fine dust average value: 24 [END DATA]
2024-06-13
19
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [16, 26, 48, 36, 24]. *** Date: 2024-06-13, Fine dust average value: 19 [END DATA]
2024-06-14
28
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [26, 48, 36, 24, 19]. *** Date: 2024-06-14, Fine dust average value: 28 [END DATA]
2024-06-15
20
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [48, 36, 24, 19, 28]. *** Date: 2024-06-15, Fine dust average value: 20 [END DATA]
2024-06-16
11
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [36, 24, 19, 28, 20]. *** Date: 2024-06-16, Fine dust average value: 11 [END DATA]
2024-06-17
21
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [24, 19, 28, 20, 11]. *** Date: 2024-06-17, Fine dust average value: 21 [END DATA]
2024-06-18
24
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [19, 28, 20, 11, 21]. *** Date: 2024-06-18, Fine dust average value: 24 [END DATA]
2024-06-19
31
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [28, 20, 11, 21, 24]. *** Date: 2024-06-19, Fine dust average value: 31 [END DATA]
2024-06-20
33
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [20, 11, 21, 24, 31]. *** Date: 2024-06-20, Fine dust average value: 33 [END DATA]
2024-06-21
29
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [11, 21, 24, 31, 33]. *** Date: 2024-06-21, Fine dust average value: 29 [END DATA]
2024-06-22
41
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [21, 24, 31, 33, 29]. *** Date: 2024-06-22, Fine dust average value: 41 [END DATA]
2024-06-23
27
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [24, 31, 33, 29, 41]. *** Date: 2024-06-23, Fine dust average value: 27 [END DATA]
2024-06-24
27
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [31, 33, 29, 41, 27]. *** Date: 2024-06-24, Fine dust average value: 27 [END DATA]
2024-06-25
15
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [33, 29, 41, 27, 27]. *** Date: 2024-06-25, Fine dust average value: 15 [END DATA]
2024-06-26
15
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [29, 41, 27, 27, 15]. *** Date: 2024-06-26, Fine dust average value: 15 [END DATA]
2024-06-27
24
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [41, 27, 27, 15, 15]. *** Date: 2024-06-27, Fine dust average value: 24 [END DATA]
2024-06-28
24
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [27, 27, 15, 15, 24]. *** Date: 2024-06-28, Fine dust average value: 24 [END DATA]
2024-06-29
16
This is a conversation between a user and an artificial intelligence assistant. When the user enters the month, it is an assistant that predicts fine dust concentration based on satellite images and past data. [BEGIN DATA] *** [Domain]: We usually observe that fine dust concentration varies with weather conditions and human activities. *** [Instruction]: Predict the fine dust concentration given the previous data and the satellite image for the specified date. *** [Statistics]: The input has a minimum of 8, a maximum of 48, and a median of 24.0. The overall trend is upward. The top five lags are [27, 15, 15, 24, 24]. *** Date: 2024-06-29, Fine dust average value: 16 [END DATA]
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