Datasets:

Treza12

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DataImTrainnew

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{'output': "The time series visualization displays energy consumption data for several sensors in a 3D graph. The graph is color-coded to indicate the correlation between the sensors' energy consumption. The colors are yellow for positive correlation, green for no correlation, and blue for negative correlation.\n\nThe graph shows that there", 'partial': False}

FridgeCoffeeMachine.jpg

{'output': "The image is a 3D graph showing energy consumption data for different sensors over time. The graph is color-coded to indicate the correlation between the sensors' energy consumption. The colors are yellow for positive correlation, green for no correlation, and blue for negative correlation.\n\nThe graph displays a total of", 'partial': False}

KettleCoffeeMachine.jpg

{'output': "The time series visualization shows energy consumption data for various sensors, with each sensor represented by a different color. The data is displayed in a 3D graph, with the x-axis representing time, the y-axis representing energy consumption, and the z-axis representing the sensor's color.\n\n", 'partial': False}

MicroweaveCoffeeMachine.jpg

{'output': "The image is a 3D graph displaying energy consumption data for sensors over time. The graph is color-coded to represent the correlation between the sensors' energy consumption and the time of day. The colors are yellow for positive correlation, green for no correlation, and blue for negative correlation.\n\nThe graph", 'partial': False}

PrinterCoffeeMachine.jpg

{'output': 'The image is a 3D graph displaying energy consumption data for a sensor over time. The graph is color-coded, with yellow indicating a positive correlation, green representing no correlation, and blue signifying an inverse correlation. The graph shows a clear pattern of energy consumption throughout the day, with the highest consumption occurring', 'partial': False}

WaterDispenserCoffeeMachine.jpg

{'output': "The image is a 3D graph showing energy consumption data for sensors over time. The graph is color-coded to indicate the correlation between the sensors' energy consumption. Yellow represents positive correlation, green represents no correlation, and blue represents negative correlation.\n\nThe graph displays a total of 12", 'partial': False}

KettleFridge.jpg

{'output': 'The time series visualization shows the energy consumption of sensors over time, with each sensor represented by a different color. The graph is a 3D representation, allowing for a better understanding of the energy consumption patterns.\n\nIn the image, there are several instances of energy consumption patterns that can be observed. The', 'partial': False}

MicroweaveFridge.jpg

{'output': "The image is a 3D graph showing energy consumption data for various sensors over time. The graph is color-coded to indicate the relationship between the sensors' energy consumption and the time of day. The colors used are yellow, green, and blue, which represent correlation, no correlation, and inverse correlation,", 'partial': False}

PrinterFridge.jpg

{'output': 'The time series visualization displays energy consumption data for various sensors, with each sensor represented by a different color. The graph shows the energy consumption of the sensors over time, with the x-axis representing time and the y-axis representing energy consumption.\n\nIn the image, there are three distinct energy consumption', 'partial': False}

WaterDispenserFridge.jpg

{'output': 'The image displays a time series visualization of energy consumption for sensors, with each sensor represented by a different color. The graph shows that there is a correlation between the energy consumption of the sensors, as indicated by the yellow color. The green color indicates that there is no correlation, while the blue color signifies', 'partial': False}

MicroweaveKettle.jpg

{'output': "The time series visualization displays energy consumption data for various sensors over time. The graph is color-coded to indicate the correlation between the sensors' energy consumption. Yellow indicates a positive correlation, green indicates no correlation, and blue indicates an inverse correlation.\n\nIn the image, there are multiple instances of", 'partial': False}

PrinterKettle.jpg

{'output': 'The time series visualization displays energy consumption data for various sensors over time. The graph is color-coded to represent the correlation between the sensors, with yellow indicating a positive correlation, green indicating no correlation, and blue indicating an inverse correlation.\n\nIn the image, there are several instances where the sensors', 'partial': False}

WaterDispenserKettle.jpg

{'output': 'The image displays a time series visualization of energy consumption data, with each color representing a different correlation between the data. The graph shows a clear pattern of energy consumption over time, with the data being color-coded to indicate the strength of the correlation between the different sensors.\n\nThe graph is divided into three', 'partial': False}

PrinterMicroweave.jpg

{'output': "The image is a 3D graph showing energy consumption of sensors over time. The graph is color-coded to indicate the correlation between the sensors' energy consumption. Yellow represents a positive correlation, green indicates no correlation, and blue signifies an inverse correlation.\n\nIn the graph, there are multiple", 'partial': False}

WaterDispenserMicroweave.jpg

{'output': "The image presents a time series visualization of energy consumption data for three sensors, with each sensor's data represented by a different color. The yellow line represents the energy consumption of the first sensor, the green line represents the energy consumption of the second sensor, and the blue line represents the energy consumption of the third", 'partial': False}

WaterDispenserPrinter.jpg