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values | skill stringclasses 3
values | frequency stringclasses 6
values | history_values stringlengths 119 5.11k | history_start stringclasses 47
values | history_end stringlengths 7 19 | future_values stringlengths 53 1.68k | future_start stringlengths 7 19 | future_end stringlengths 7 19 | entry_sep stringclasses 1
value | roi stringlengths 0 297 | pred_length int64 15 240 | system_prompt stringclasses 1
value | user_instruct stringlengths 182 237 | context_info stringlengths 70 1.49k | prompt stringlengths 505 5.76k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CIK/future/item75 | CIK | future | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,1.5,1.8,1... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,17.7,34.1,37.6,29.5,0.0,0.0,0.0,0.0,0.0,0.0,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 8,9,10,11,12,13 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor.Consider that the meter will be offline for maintenance between 2024-01-18 08:00:00 and 2024-01-18 14:00:00, which results in zero readings.
| <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,... |
CIK/future/item76 | CIK | future | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5,0.6,0.5,... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.8,0.9,1.3,1.4,0.7,0.4,0.4,0.5,0.2,1.0,0.0,0.0,0.1,0.0,0.1,0.2,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 11,12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor.Consider that the meter will be offline for maintenance between 2024-04-25 00:00:00 and 2024-04-25 02:00:00, which results in zero readings.
| <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5... |
CIK/future/item77 | CIK | future | H | 1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9,1.1,1.0,... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.5,1.3,1.1,0.0,0.0,0.0,0.5,0.6,0.5,0.4,0.3,0.4,0.4,0.3,0.5,0.7,1.1,1.0,1.1,1.2,1.3,1.1,1.3,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 3,4,5 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor.Consider that the meter will be offline for maintenance between 2024-03-18 17:00:00 and 2024-03-18 20:00:00, which results in zero readings.
| <history>1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9... |
CIK/future/item78 | CIK | future | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,9.5,10.2,... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,0.0,0.0,0.0,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 8,9,10 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor.Consider that the meter will be offline for maintenance between 2024-01-15 19:00:00 and 2024-01-15 22:00:00, which results in zero readings.
| <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,... |
CIK/future/item79 | CIK | future | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,4.2,... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 2.8,5.3,8.5,10.8,7.7,7.6,7.3,7.5,7.7,0.0,0.0,10.1,12.2,16.3,6.6,5.3,4.9,4.4,3.1,2.2,4.5,5.0,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 9,10 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor.Consider that the meter will be offline for maintenance between 2024-04-11 13:00:00 and 2024-04-11 15:00:00, which results in zero readings.
| <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4... |
CIK/future/item80 | CIK | future | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,1.5,1.8,1... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,17.7,34.1,37.6,29.5,8.0,8.1,7.1,6.2,6.0,5.4,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 8,9,10,11,12,13,14 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor was offline for maintenance every day between 08:00 and 14:00, which resulted in zero readings. Assume that the sensor will not be in maintenance in the future.
| <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,... |
CIK/future/item81 | CIK | future | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.0,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.0,0.0,0.0,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.0,0.0,0.0,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5,0.6,0.5,... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.8,0.9,1.3,1.4,0.7,0.4,0.4,0.5,0.2,1.0,0.3,0.1,0.1,0.0,0.1,0.2,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 11,12,13 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor was offline for maintenance every day between 00:00 and 02:00, which resulted in zero readings. Assume that the sensor will not be in maintenance in the future.
| <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.0,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.0,0.0,0.0,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.0,0.0,0.0,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5... |
CIK/future/item82 | CIK | future | H | 1.3,1.0,1.1,0.0,0.0,0.0,0.0,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,0.0,0.0,0.0,0.0,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,0.0,0.0,0.0,0.0,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,0.0,0.0,0.0,0.0,1.0,... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.5,1.3,1.1,0.8,0.7,0.6,0.5,0.6,0.5,0.4,0.3,0.4,0.4,0.3,0.5,0.7,1.1,1.0,1.1,1.2,1.3,1.1,1.3,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 3,4,5,6 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor was offline for maintenance every day between 17:00 and 20:00, which resulted in zero readings. Assume that the sensor will not be in maintenance in the future.
| <history>1.3,1.0,1.1,0.0,0.0,0.0,0.0,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,0.0,0.0,0.0,0.0,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,0.0,0.0,0.0,0.0,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,0.0,0.0,0.0... |
CIK/future/item83 | CIK | future | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,0.0,0.0,0.0,0.0,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,0.0,0.0,0.0,0.0,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,0.0,0.0,0.0,0.0,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,9.5,10.2,... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 8,9,10,11 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor was offline for maintenance every day between 19:00 and 22:00, which resulted in zero readings. Assume that the sensor will not be in maintenance in the future.
| <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,0.0,0.0,0.0,0.0,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,0.0,0.0,0.0,0.0,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,0.0,0.0,0.0,0.0,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,... |
CIK/future/item84 | CIK | future | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,0.0,0.0,0.0,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,0.0,0.0,0.0,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,0.0,0.0,0.0,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,4.2,5.5,5... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 2.8,5.3,8.5,10.8,7.7,7.6,7.3,7.5,7.7,8.5,9.4,10.1,12.2,16.3,6.6,5.3,4.9,4.4,3.1,2.2,4.5,5.0,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 9,10,11 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor was offline for maintenance every day between 13:00 and 15:00, which resulted in zero readings. Assume that the sensor will not be in maintenance in the future.
| <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,0.0,0.0,0.0,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,0.0,0.0,0.0,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,0.0,0.0,0.0,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,... |
CIK/anomaly/item0 | CIK | anomaly | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2873995051,5.1747990102,4.6621985078,5.0495980203,5.336997503,5.0243970156,4.4117964983,3.5991960406,3.3865955234,3.1739950061,2.6613945484,2.2487940311,2.2361935139,2.4235929966,3.4109925985,6.3983920813,11.685791564,11.3731910467,31.0605905294,13.2479900122,9.3353... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,17.7,34.1,37.6,29.5,8.0,8.1,7.1,6.2,6.0,5.4,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor had a calibration problem starting from 2024-01-11 12:00:00 which resulted in an additive trend in the series that increases by 0.0874 at every hour. At timestep 2024-01-18 00:00:00, the sensor was repaired and this additive trend wi... | <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2873995051,5.1747990102,4.6621985078,5.0495980203,5.336997503,5.0243970156,4.4117964983,3.5991960406,3.3865955234,3.1739950061,2.6613945484,2.2487940311,2.2361935139,2.4235929966,3.4109925985,6.3983920813,11.685791564,11.3731910467,31.0605905294,13.24799001... | |
CIK/anomaly/item1 | CIK | anomaly | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4072146133,0.6144292265,0.7216... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.8,0.9,1.3,1.4,0.7,0.4,0.4,0.5,0.2,1.0,0.3,0.1,0.1,0.0,0.1,0.2,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor had a calibration problem starting from 2024-04-20 13:00:00 which resulted in an additive trend in the series that increases by 0.0072 at every hour. At timestep 2024-04-24 13:00:00, the sensor was repaired and this additive trend wi... | <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4072146133,0.61442922... | |
CIK/anomaly/item2 | CIK | anomaly | H | 1.3,1.0,1.1,0.809681928,0.8193638559,0.429045783,0.5387277119,0.5484096408,0.458091566,0.4677734986,0.6774554238,0.7871373489,0.4968192816,0.6065012068,0.8161831319,1.4258650571,1.7355469972,1.9452289224,1.9549108475,1.7645927727,2.1742746979,1.8839566231,1.9936385632,2.0033204883,1.9130024135,1.7226843387,1.8323662639... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.5,1.3,1.1,0.8,0.7,0.6,0.5,0.6,0.5,0.4,0.3,0.4,0.4,0.3,0.5,0.7,1.1,1.0,1.1,1.2,1.3,1.1,1.3,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor had a calibration problem starting from 2024-03-11 17:00:00 which resulted in an additive trend in the series that increases by 0.0097 at every hour. At timestep 2024-03-18 14:00:00, the sensor was repaired and this additive trend wi... | <history>1.3,1.0,1.1,0.809681928,0.8193638559,0.429045783,0.5387277119,0.5484096408,0.458091566,0.4677734986,0.6774554238,0.7871373489,0.4968192816,0.6065012068,0.8161831319,1.4258650571,1.7355469972,1.9452289224,1.9549108475,1.7645927727,2.1742746979,1.8839566231,1.9936385632,2.0033204883,1.9130024135,1.7226843387,1.8... | |
CIK/anomaly/item3 | CIK | anomaly | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5870121717,7.9740243435,7.3610365152,6.648048687,5.2350608587,3.522073030... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor had a calibration problem starting from 2024-01-10 18:00:00 which resulted in an additive trend in the series that increases by 0.0870 at every hour. At timestep 2024-01-15 11:00:00, the sensor was repaired and this additive trend wi... | <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5870121717,7.9740243435,7.3610365152,6.648048687,5.2350608587,3.... | |
CIK/anomaly/item4 | CIK | anomaly | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1866425335,7.2732850671,6.8599276006,6.1465701342,6.0332126677... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 2.8,5.3,8.5,10.8,7.7,7.6,7.3,7.5,7.7,8.5,9.4,10.1,12.2,16.3,6.6,5.3,4.9,4.4,3.1,2.2,4.5,5.0,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor had a calibration problem starting from 2024-04-06 17:00:00 which resulted in an additive trend in the series that increases by 0.0866 at every hour. At timestep 2024-04-11 04:00:00, the sensor was repaired and this additive trend wi... | <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1866425335,7.2732850671,6.8599276006,6.1465701342,6.0... | |
CIK/anomaly/item5 | CIK | anomaly | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,1.5,1.8,1... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,17.7,34.1,37.6,29.5,8.0,8.1,7.1,6.2,6.0,5.4,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor experienced an unexpected glitch resulting in a spike starting from 2024-01-16 06:00:00 for 1 hour. Assume that the sensor will not have this glitch in the future.
| <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,... | |
CIK/anomaly/item6 | CIK | anomaly | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5,0.6,0.5,... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.8,0.9,1.3,1.4,0.7,0.4,0.4,0.5,0.2,1.0,0.3,0.1,0.1,0.0,0.1,0.2,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor experienced an unexpected glitch resulting in a spike starting from 2024-04-23 17:00:00 for 2 hours. Assume that the sensor will not have this glitch in the future.
| <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5... | |
CIK/anomaly/item7 | CIK | anomaly | H | 1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9,1.1,1.0,... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.5,1.3,1.1,0.8,0.7,0.6,0.5,0.6,0.5,0.4,0.3,0.4,0.4,0.3,0.5,0.7,1.1,1.0,1.1,1.2,1.3,1.1,1.3,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor experienced an unexpected glitch resulting in a spike starting from 2024-03-15 11:00:00 for 2 hours. Assume that the sensor will not have this glitch in the future.
| <history>1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9... | |
CIK/anomaly/item8 | CIK | anomaly | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,-45.6,-45.6,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,9.5,10.... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor experienced an unexpected glitch resulting in a spike starting from 2024-01-10 17:00:00 for 2 hours. Assume that the sensor will not have this glitch in the future.
| <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,-45.6,-45.6,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.... | |
CIK/anomaly/item9 | CIK | anomaly | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,50.0,50.0,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,4.2,... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 2.8,5.3,8.5,10.8,7.7,7.6,7.3,7.5,7.7,8.5,9.4,10.1,12.2,16.3,6.6,5.3,4.9,4.4,3.1,2.2,4.5,5.0,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series represents the occupancy rate (%) captured by a highway sensor. The sensor experienced an unexpected glitch resulting in a spike starting from 2024-04-04 16:00:00 for 2 hours. Assume that the sensor will not have this glitch in the future.
| <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,50.0,50.0,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4... | |
CIK/phase_change/item0 | CIK | phase_change | S | 285.5619812012,285.8994445801,285.3989868164,284.9327697754,284.4248962402,285.3772583008,285.681640625,285.8013916016,284.3925476074,284.6623840332,285.7796020508,285.5619812012,286.259552002,285.0843811035,283.9940795898,284.4680480957,284.8245544434,285.5293579102,285.7033996582,285.4967651367,285.7904968262,285.736... | 1970-01-01 05:46:27 | 1970-01-01 05:48:01 | 285.3012695312,432.3763427734,557.1237792969,612.3448486328,654.2219238281,661.3756713867,662.0762939453,661.842590332,662.1931762695,662.0762939453,662.0762939453,661.9594116211,662.0762939453,662.1931762695,661.6090087891,662.0762939453,662.0762939453,661.725769043,661.9594116211,661.9594116211,661.4923095703,661.959... | 1970-01-01 05:48:02 | 1970-01-01 05:48:59 | , | 58 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 58 future values in the range from 1970-01-01 05:48:02 to 1970-01-01 05:48:59.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the load of the fan (corresponding to the duty cycle of the pulse-width-modulation signal) and measure its speed (in revolutions per minute). The fan is designed so its steady-state speed scales broadly linearly with the l... | <history>285.5619812012,285.8994445801,285.3989868164,284.9327697754,284.4248962402,285.3772583008,285.681640625,285.8013916016,284.3925476074,284.6623840332,285.7796020508,285.5619812012,286.259552002,285.0843811035,283.9940795898,284.4680480957,284.8245544434,285.5293579102,285.7033996582,285.4967651367,285.790496826... | |
CIK/phase_change/item1 | CIK | phase_change | S | 286.1394042969,285.2036437988,285.8776550293,285.7142944336,285.3772583008,285.0843811035,284.7921142578,285.3338317871,285.9321289062,285.3338317871,284.7812805176,284.889465332,286.0411987305,285.2144775391,284.8678283691,285.8231811523,285.8667602539,285.4967651367,286.1503295898,285.9321289062,285.8013916016,286.06... | 1970-01-01 05:24:27 | 1970-01-01 05:25:43 | 297.7135620117,482.7497558594,584.4763183594,632.8045654297,656.97265625,661.3756713867,661.6090087891,661.6090087891,661.3756713867,661.6090087891,661.6090087891,661.3756713867,661.3756713867,661.3756713867,661.6090087891,662.0762939453,661.6090087891,661.6090087891,661.6090087891,661.3756713867,661.6090087891,660.676... | 1970-01-01 05:25:44 | 1970-01-01 05:27:16 | , | 93 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 93 future values in the range from 1970-01-01 05:25:44 to 1970-01-01 05:27:16.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the load of the fan (corresponding to the duty cycle of the pulse-width-modulation signal) and measure its speed (in revolutions per minute). The fan is designed so its steady-state speed scales broadly linearly with the l... | <history>286.1394042969,285.2036437988,285.8776550293,285.7142944336,285.3772583008,285.0843811035,284.7921142578,285.3338317871,285.9321289062,285.3338317871,284.7812805176,284.889465332,286.0411987305,285.2144775391,284.8678283691,285.8231811523,285.8667602539,285.4967651367,286.1503295898,285.9321289062,285.80139160... | |
CIK/phase_change/item2 | CIK | phase_change | S | 297.7135620117,288.1290893555,288.0848083496,288.2176513672,297.4891967773,288.1290893555,297.5009765625,287.9852600098,288.3395385742,288.2508850098,288.4504394531,297.524597168,287.5987548828,287.7311401367,297.5127868652,287.9520874023,288.0073852539,297.8435974121,288.1290893555,296.618560791,287.9852600098,287.709... | 1970-01-01 05:29:42 | 1970-01-01 05:34:28 | 296.302154541,415.9272460938,566.1231689453,618.8118896484,654.6787719727,655.1362915039,661.6090087891,661.6090087891,661.6090087891,662.0762939453,662.0762939453,662.0762939453,661.6090087891,661.6090087891,661.6090087891,661.6090087891,662.0762939453,662.0762939453 | 1970-01-01 05:34:29 | 1970-01-01 05:34:46 | , | 18 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 18 future values in the range from 1970-01-01 05:34:29 to 1970-01-01 05:34:46.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the load of the fan (corresponding to the duty cycle of the pulse-width-modulation signal) and measure its speed (in revolutions per minute). The fan is designed so its steady-state speed scales broadly linearly with the l... | <history>297.7135620117,288.1290893555,288.0848083496,288.2176513672,297.4891967773,288.1290893555,297.5009765625,287.9852600098,288.3395385742,288.2508850098,288.4504394531,297.524597168,287.5987548828,287.7311401367,297.5127868652,287.9520874023,288.0073852539,297.8435974121,288.1290893555,296.618560791,287.985260009... | |
CIK/phase_change/item3 | CIK | phase_change | S | 661.842590332,661.6090087891,662.3101196289,661.725769043,660.2112426758,661.6090087891,661.3756713867,661.9594116211,661.7841796875,661.7841796875,661.842590332,661.842590332,661.1424560547,661.9010009766,661.842590332,661.6090087891,661.9010009766,661.7841796875,661.9594116211,661.842590332,661.1424560547,661.9594116... | 1970-01-01 05:35:48 | 1970-01-01 05:37:06 | 285.4533081055,284.9111022949,285.2795715332,284.6083679199,285.3229980469,285.7796020508,285.4967651367,285.2578735352,285.3881225586,285.7796020508,285.8449707031,285.3446960449,285.6272277832,284.8678283691,285.1711120605 | 1970-01-01 05:37:07 | 1970-01-01 05:37:21 | , | 15 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 15 future values in the range from 1970-01-01 05:37:07 to 1970-01-01 05:37:21.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the load of the fan (corresponding to the duty cycle of the pulse-width-modulation signal) and measure its speed (in revolutions per minute). The fan is designed so its steady-state speed scales broadly linearly with the l... | <history>661.842590332,661.6090087891,662.3101196289,661.725769043,660.2112426758,661.6090087891,661.3756713867,661.9594116211,661.7841796875,661.7841796875,661.842590332,661.842590332,661.1424560547,661.9010009766,661.842590332,661.6090087891,661.9010009766,661.7841796875,661.9594116211,661.842590332,661.1424560547,66... | |
CIK/phase_change/item4 | CIK | phase_change | S | 285.8013916016,286.0302734375,285.4859008789,285.0518798828,285.8776550293,285.9430541992,285.60546875,285.7033996582,285.9757385254,284.9977111816,284.8786315918,285.7687072754,284.5435791016,285.2795715332,285.4315795898,285.3881225586,285.9757385254,285.4750366211,285.6925048828,285.6598815918,285.681640625,286.0411... | 1970-01-01 05:41:16 | 1970-01-01 05:43:00 | 980.6485595703,677.1397705078,497.2156066895,367.2869873047,300.2642211914,288.9060058594,297.7608337402,287.7973937988,287.8857727051,288.2398071289,297.9737854004,288.2398071289,288.1512145996,288.1290893555,288.2176513672,288.0848083496,287.6870117188,288.3063049316,287.9299621582,287.841583252,288.0626831055,287.66... | 1970-01-01 05:43:01 | 1970-01-01 05:43:29 | , | 29 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 29 future values in the range from 1970-01-01 05:43:01 to 1970-01-01 05:43:29.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the load of the fan (corresponding to the duty cycle of the pulse-width-modulation signal) and measure its speed (in revolutions per minute). The fan is designed so its steady-state speed scales broadly linearly with the l... | <history>285.8013916016,286.0302734375,285.4859008789,285.0518798828,285.8776550293,285.9430541992,285.60546875,285.7033996582,285.9757385254,284.9977111816,284.8786315918,285.7687072754,284.5435791016,285.2795715332,285.4315795898,285.3881225586,285.9757385254,285.4750366211,285.6925048828,285.6598815918,285.681640625... | |
CIK/phase_change/item5 | CIK | phase_change | S | -0.1171875,-0.21875,-0.2421875,-0.1171875,-1.09375,-0.3515625,0.0,-0.203125,0.390625,-0.3984375,-0.1875,-0.171875,0.4375,0.390625,-0.1640625,-0.15625,0.5078125,-0.0546875,0.375,0.2421875,1.5,4.546875,5.640625,6.8125,6.796875,7.046875,7.6328125,7.1875,7.5078125,7.1171875,7.390625,7.3515625,7.3125,7.546875,7.6953125,7.64... | 1970-01-01 05:14:03 | 1970-01-01 05:14:56 | 3.0078125,2.4609375,2.015625,1.765625,1.515625,1.7890625,1.6953125,1.1640625,1.6171875,1.75,1.4453125,1.625,1.96875,2.1328125,1.453125 | 1970-01-01 05:14:57 | 1970-01-01 05:15:11 | , | 15 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 15 future values in the range from 1970-01-01 05:14:57 to 1970-01-01 05:15:11.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (rpm_in) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws, which state that the pressure... | <history>-0.1171875,-0.21875,-0.2421875,-0.1171875,-1.09375,-0.3515625,0.0,-0.203125,0.390625,-0.3984375,-0.1875,-0.171875,0.4375,0.390625,-0.1640625,-0.15625,0.5078125,-0.0546875,0.375,0.2421875,1.5,4.546875,5.640625,6.8125,6.796875,7.046875,7.6328125,7.1875,7.5078125,7.1171875,7.390625,7.3515625,7.3125,7.546875,7.695... | |
CIK/phase_change/item6 | CIK | phase_change | S | -0.7734375,-1.1015625,-1.0390625,-1.5546875,-1.140625,-1.5625,-1.6484375,-1.359375,-1.75,-1.3359375,-1.2578125,-1.3046875,-1.15625,-1.078125,-0.953125,-1.1953125,-1.1953125,-0.8515625,-1.140625,-0.953125,-0.9140625,-0.90625,-0.9765625,-1.2109375,-1.0234375,-1.0703125,-0.9609375,-1.109375,-1.1171875,-0.875,-1.328125,-2.... | 1970-01-01 05:08:04 | 1970-01-01 05:09:35 | 0.96875,3.5234375,4.9765625,6.3671875,6.7109375,7.015625,6.8203125,7.2578125,6.8671875,6.890625,5.7890625,7.0,7.109375,7.03125,7.0859375,7.171875,7.125,7.875,7.546875,8.265625 | 1970-01-01 05:09:36 | 1970-01-01 05:09:55 | , | 20 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 20 future values in the range from 1970-01-01 05:09:36 to 1970-01-01 05:09:55.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (rpm_in) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws, which state that the pressure... | <history>-0.7734375,-1.1015625,-1.0390625,-1.5546875,-1.140625,-1.5625,-1.6484375,-1.359375,-1.75,-1.3359375,-1.2578125,-1.3046875,-1.15625,-1.078125,-0.953125,-1.1953125,-1.1953125,-0.8515625,-1.140625,-0.953125,-0.9140625,-0.90625,-0.9765625,-1.2109375,-1.0234375,-1.0703125,-0.9609375,-1.109375,-1.1171875,-0.875,-1.3... | |
CIK/phase_change/item7 | CIK | phase_change | S | -1.953125,-2.6875,-2.171875,-2.265625,-2.2578125,-2.4140625,-2.21875,-2.46875,-2.2421875,-1.859375,-2.1953125,-1.921875,-2.0,-1.78125,-2.2265625,-2.2734375,-2.5546875,-2.390625,-2.296875,-2.078125,-2.234375,-1.828125,-2.2421875,-1.625,-2.109375,-1.34375,-1.859375,-0.890625,-0.640625,-0.7421875,-1.203125,-0.7421875,-1.0... | 1970-01-01 05:18:28 | 1970-01-01 05:19:56 | -0.0703125,2.453125,5.421875,5.625,7.046875,6.8828125,6.875,7.0390625,6.9140625,7.2578125,6.8125,7.4453125,7.2265625,7.0390625,7.375,7.265625,7.5,7.234375,6.9296875,7.5234375,4.9609375,2.765625,1.0703125,0.2421875,-0.296875,-0.328125,-0.125,-0.6640625,-0.40625,-1.0625,-0.421875,-0.875,-0.4453125,-0.6328125,-0.40625,-1.... | 1970-01-01 05:19:57 | 1970-01-01 05:20:42 | , | 46 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 46 future values in the range from 1970-01-01 05:19:57 to 1970-01-01 05:20:42.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (rpm_in) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws, which state that the pressure... | <history>-1.953125,-2.6875,-2.171875,-2.265625,-2.2578125,-2.4140625,-2.21875,-2.46875,-2.2421875,-1.859375,-2.1953125,-1.921875,-2.0,-1.78125,-2.2265625,-2.2734375,-2.5546875,-2.390625,-2.296875,-2.078125,-2.234375,-1.828125,-2.2421875,-1.625,-2.109375,-1.34375,-1.859375,-0.890625,-0.640625,-0.7421875,-1.203125,-0.742... | |
CIK/phase_change/item8 | CIK | phase_change | S | -2.71875,-3.625,-3.2421875,-3.25,-3.3984375,-3.3125,-3.046875,-3.390625,-3.328125,-3.390625,-3.1875,-3.6875,-3.21875,-3.1484375,-3.6328125,-3.546875,-3.5390625,-2.9140625,-2.6015625,-2.5234375,-2.5,-1.8984375,-1.9921875,-2.1015625,-1.6015625,-1.6875,-1.7421875,-2.0703125,-1.7578125,-2.34375,-1.921875,-1.96875,-2.15625,... | 1970-01-01 05:25:27 | 1970-01-01 05:27:08 | 0.03125,2.421875,4.4296875,4.4296875,5.09375,5.484375,5.296875,5.5546875,5.25,4.828125,5.5234375,5.2109375,5.265625,5.40625,5.703125,4.9921875,5.53125,5.5703125,5.1171875,5.6015625,5.9921875,5.640625,5.4140625,5.84375,5.6484375,5.515625,5.6015625,5.5859375,5.96875,5.625,6.0390625,5.6796875,5.9296875,6.125 | 1970-01-01 05:27:09 | 1970-01-01 05:27:42 | , | 34 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 34 future values in the range from 1970-01-01 05:27:09 to 1970-01-01 05:27:42.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (rpm_in) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws, which state that the pressure... | <history>-2.71875,-3.625,-3.2421875,-3.25,-3.3984375,-3.3125,-3.046875,-3.390625,-3.328125,-3.390625,-3.1875,-3.6875,-3.21875,-3.1484375,-3.6328125,-3.546875,-3.5390625,-2.9140625,-2.6015625,-2.5234375,-2.5,-1.8984375,-1.9921875,-2.1015625,-1.6015625,-1.6875,-1.7421875,-2.0703125,-1.7578125,-2.34375,-1.921875,-1.96875,... | |
CIK/phase_change/item9 | CIK | phase_change | S | -1.984375,-2.1953125,-2.2265625,-2.3984375,-2.1640625,-2.3671875,-2.109375,-2.0546875,-2.703125,-2.546875,-2.109375,-2.296875,-2.1171875,-2.5859375,-2.40625,-2.1484375,-2.7265625,-2.6328125,-2.2109375,-2.625,-2.84375,-2.3125,-2.6875,-2.109375,-2.5390625,-2.1484375,-1.8359375,-2.1875,-1.8828125,-2.2578125,-2.1640625,-2.... | 1970-01-01 05:31:13 | 1970-01-01 05:32:07 | -0.890625,2.7109375,4.6875,5.4609375,5.59375,5.9921875,6.25,6.0078125,6.28125,6.2890625,6.4453125,5.7890625,6.1875,6.328125,6.5078125,6.390625,6.234375,6.484375,5.9140625,6.3984375,6.5,5.9921875,6.2890625,6.40625,6.6953125,6.421875,5.90625,6.6953125,6.375,6.3046875,6.7265625,6.265625,6.125,6.515625,4.234375,1.484375,-0... | 1970-01-01 05:32:08 | 1970-01-01 05:33:13 | , | 66 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 66 future values in the range from 1970-01-01 05:32:08 to 1970-01-01 05:33:13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (rpm_in) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws, which state that the pressure... | <history>-1.984375,-2.1953125,-2.2265625,-2.3984375,-2.1640625,-2.3671875,-2.109375,-2.0546875,-2.703125,-2.546875,-2.109375,-2.296875,-2.1171875,-2.5859375,-2.40625,-2.1484375,-2.7265625,-2.6328125,-2.2109375,-2.625,-2.84375,-2.3125,-2.6875,-2.109375,-2.5390625,-2.1484375,-1.8359375,-2.1875,-1.8828125,-2.2578125,-2.16... | |
CIK/future/item85 | CIK | future | S | -0.1171875,-0.21875,-0.2421875,-0.1171875,-1.09375,-0.3515625,0.0,-0.203125,0.390625,-0.3984375,-0.1875,-0.171875,0.4375,0.390625,-0.1640625,-0.15625,0.5078125,-0.0546875,0.375,0.2421875,1.5,4.546875,5.640625,6.8125,6.796875,7.046875,7.6328125,7.1875,7.5078125,7.1171875,7.390625,7.3515625,7.3125,7.546875,7.6953125,7.64... | 1970-01-01 05:14:03 | 1970-01-01 05:14:56 | 3.0078125,2.4609375,2.015625,1.765625,1.515625,1.7890625,1.6953125,1.1640625,1.6171875,1.75,1.4453125,1.625,1.96875,2.1328125,1.453125 | 1970-01-01 05:14:57 | 1970-01-01 05:15:11 | , | 15 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 15 future values in the range from 1970-01-01 05:14:57 to 1970-01-01 05:15:11.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (in revolutions per minute) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws. The task i... | <history>-0.1171875,-0.21875,-0.2421875,-0.1171875,-1.09375,-0.3515625,0.0,-0.203125,0.390625,-0.3984375,-0.1875,-0.171875,0.4375,0.390625,-0.1640625,-0.15625,0.5078125,-0.0546875,0.375,0.2421875,1.5,4.546875,5.640625,6.8125,6.796875,7.046875,7.6328125,7.1875,7.5078125,7.1171875,7.390625,7.3515625,7.3125,7.546875,7.695... | |
CIK/future/item86 | CIK | future | S | -0.7734375,-1.1015625,-1.0390625,-1.5546875,-1.140625,-1.5625,-1.6484375,-1.359375,-1.75,-1.3359375,-1.2578125,-1.3046875,-1.15625,-1.078125,-0.953125,-1.1953125,-1.1953125,-0.8515625,-1.140625,-0.953125,-0.9140625,-0.90625,-0.9765625,-1.2109375,-1.0234375,-1.0703125,-0.9609375,-1.109375,-1.1171875,-0.875,-1.328125,-2.... | 1970-01-01 05:08:04 | 1970-01-01 05:09:35 | 0.96875,3.5234375,4.9765625,6.3671875,6.7109375,7.015625,6.8203125,7.2578125,6.8671875,6.890625,5.7890625,7.0,7.109375,7.03125,7.0859375,7.171875,7.125,7.875,7.546875,8.265625 | 1970-01-01 05:09:36 | 1970-01-01 05:09:55 | , | 20 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 20 future values in the range from 1970-01-01 05:09:36 to 1970-01-01 05:09:55.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (in revolutions per minute) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws. The task i... | <history>-0.7734375,-1.1015625,-1.0390625,-1.5546875,-1.140625,-1.5625,-1.6484375,-1.359375,-1.75,-1.3359375,-1.2578125,-1.3046875,-1.15625,-1.078125,-0.953125,-1.1953125,-1.1953125,-0.8515625,-1.140625,-0.953125,-0.9140625,-0.90625,-0.9765625,-1.2109375,-1.0234375,-1.0703125,-0.9609375,-1.109375,-1.1171875,-0.875,-1.3... | |
CIK/future/item87 | CIK | future | S | -1.953125,-2.6875,-2.171875,-2.265625,-2.2578125,-2.4140625,-2.21875,-2.46875,-2.2421875,-1.859375,-2.1953125,-1.921875,-2.0,-1.78125,-2.2265625,-2.2734375,-2.5546875,-2.390625,-2.296875,-2.078125,-2.234375,-1.828125,-2.2421875,-1.625,-2.109375,-1.34375,-1.859375,-0.890625,-0.640625,-0.7421875,-1.203125,-0.7421875,-1.0... | 1970-01-01 05:18:28 | 1970-01-01 05:19:56 | -0.0703125,2.453125,5.421875,5.625,7.046875,6.8828125,6.875,7.0390625,6.9140625,7.2578125,6.8125,7.4453125,7.2265625,7.0390625,7.375,7.265625,7.5,7.234375,6.9296875,7.5234375,4.9609375,2.765625,1.0703125,0.2421875,-0.296875,-0.328125,-0.125,-0.6640625,-0.40625,-1.0625,-0.421875,-0.875,-0.4453125,-0.6328125,-0.40625,-1.... | 1970-01-01 05:19:57 | 1970-01-01 05:20:42 | , | 46 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 46 future values in the range from 1970-01-01 05:19:57 to 1970-01-01 05:20:42.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (in revolutions per minute) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws. The task i... | <history>-1.953125,-2.6875,-2.171875,-2.265625,-2.2578125,-2.4140625,-2.21875,-2.46875,-2.2421875,-1.859375,-2.1953125,-1.921875,-2.0,-1.78125,-2.2265625,-2.2734375,-2.5546875,-2.390625,-2.296875,-2.078125,-2.234375,-1.828125,-2.2421875,-1.625,-2.109375,-1.34375,-1.859375,-0.890625,-0.640625,-0.7421875,-1.203125,-0.742... | |
CIK/future/item88 | CIK | future | S | -2.71875,-3.625,-3.2421875,-3.25,-3.3984375,-3.3125,-3.046875,-3.390625,-3.328125,-3.390625,-3.1875,-3.6875,-3.21875,-3.1484375,-3.6328125,-3.546875,-3.5390625,-2.9140625,-2.6015625,-2.5234375,-2.5,-1.8984375,-1.9921875,-2.1015625,-1.6015625,-1.6875,-1.7421875,-2.0703125,-1.7578125,-2.34375,-1.921875,-1.96875,-2.15625,... | 1970-01-01 05:25:27 | 1970-01-01 05:27:08 | 0.03125,2.421875,4.4296875,4.4296875,5.09375,5.484375,5.296875,5.5546875,5.25,4.828125,5.5234375,5.2109375,5.265625,5.40625,5.703125,4.9921875,5.53125,5.5703125,5.1171875,5.6015625,5.9921875,5.640625,5.4140625,5.84375,5.6484375,5.515625,5.6015625,5.5859375,5.96875,5.625,6.0390625,5.6796875,5.9296875,6.125 | 1970-01-01 05:27:09 | 1970-01-01 05:27:42 | , | 34 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 34 future values in the range from 1970-01-01 05:27:09 to 1970-01-01 05:27:42.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (in revolutions per minute) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws. The task i... | <history>-2.71875,-3.625,-3.2421875,-3.25,-3.3984375,-3.3125,-3.046875,-3.390625,-3.328125,-3.390625,-3.1875,-3.6875,-3.21875,-3.1484375,-3.6328125,-3.546875,-3.5390625,-2.9140625,-2.6015625,-2.5234375,-2.5,-1.8984375,-1.9921875,-2.1015625,-1.6015625,-1.6875,-1.7421875,-2.0703125,-1.7578125,-2.34375,-1.921875,-1.96875,... | |
CIK/future/item89 | CIK | future | S | -1.984375,-2.1953125,-2.2265625,-2.3984375,-2.1640625,-2.3671875,-2.109375,-2.0546875,-2.703125,-2.546875,-2.109375,-2.296875,-2.1171875,-2.5859375,-2.40625,-2.1484375,-2.7265625,-2.6328125,-2.2109375,-2.625,-2.84375,-2.3125,-2.6875,-2.109375,-2.5390625,-2.1484375,-1.8359375,-2.1875,-1.8828125,-2.2578125,-2.1640625,-2.... | 1970-01-01 05:31:13 | 1970-01-01 05:32:07 | -0.890625,2.7109375,4.6875,5.4609375,5.59375,5.9921875,6.25,6.0078125,6.28125,6.2890625,6.4453125,5.7890625,6.1875,6.328125,6.5078125,6.390625,6.234375,6.484375,5.9140625,6.3984375,6.5,5.9921875,6.2890625,6.40625,6.6953125,6.421875,5.90625,6.6953125,6.375,6.3046875,6.7265625,6.265625,6.125,6.515625,4.234375,1.484375,-0... | 1970-01-01 05:32:08 | 1970-01-01 05:33:13 | , | 66 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 66 future values in the range from 1970-01-01 05:32:08 to 1970-01-01 05:33:13.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | The wind tunnel is a chamber with one controllable fan that pushes air through it. We can control the speed of the fan (in revolutions per minute) and measure the gap between the internal pressure and the ambient pressure (in Pascals). The pressure gap can be estimated from the speed using the affinity laws. The task i... | <history>-1.984375,-2.1953125,-2.2265625,-2.3984375,-2.1640625,-2.3671875,-2.109375,-2.0546875,-2.703125,-2.546875,-2.109375,-2.296875,-2.1171875,-2.5859375,-2.40625,-2.1484375,-2.7265625,-2.6328125,-2.2109375,-2.625,-2.84375,-2.3125,-2.6875,-2.109375,-2.5390625,-2.1484375,-1.8359375,-2.1875,-1.8828125,-2.2578125,-2.16... | |
CIK/future/item90 | CIK | future | H | 0,0,0,0,0,0,0,32,48,321,534,829,840,835,821,782,715,597,363,0,0,0,0,0,0,0,0,0,0,0,0,0,1,439,395,560,800,317,266,216,307,135,0,0,0,0,0,0 | 2022-07-13 00:00:00 | 2022-07-14 23:00:00 | 0,0,0,0,0,0,74,5,42,6,729,814,824,819,786,732,641,497,24,0,0,0,0,0 | 2022-07-15 00:00:00 | 2022-07-15 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-07-15 00:00:00 to 2022-07-15 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Direct Normal Irradiance for a location in Sinaloa, Mexico.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction. When there are no clouds to block the sun, the Direct Normal I... | <history>0,0,0,0,0,0,0,32,48,321,534,829,840,835,821,782,715,597,363,0,0,0,0,0,0,0,0,0,0,0,0,0,1,439,395,560,800,317,266,216,307,135,0,0,0,0,0,0</history>
This series contains Direct Normal Irradiance for a location in Sinaloa, Mexico.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared... | |
CIK/future/item91 | CIK | future | H | 0,0,0,0,0,0,0,0,0,0,0,1,2,3,1,0,280,2,630,405,0,0,0,0,0,0,0,0,0,0,378,664,800,875,917,944,958,959,948,926,885,820,703,467,0,0,0,0 | 2022-08-09 00:00:00 | 2022-08-10 23:00:00 | 0,0,0,0,0,0,302,587,726,801,844,289,857,177,857,869,863,811,699,460,0,0,0,0 | 2022-08-11 00:00:00 | 2022-08-11 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-08-11 00:00:00 to 2022-08-11 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Direct Normal Irradiance for a location in Ontario, Canada.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction. When there are no clouds to block the sun, the Direct Normal I... | <history>0,0,0,0,0,0,0,0,0,0,0,1,2,3,1,0,280,2,630,405,0,0,0,0,0,0,0,0,0,0,378,664,800,875,917,944,958,959,948,926,885,820,703,467,0,0,0,0</history>
This series contains Direct Normal Irradiance for a location in Ontario, Canada.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter... | |
CIK/future/item92 | CIK | future | H | 0,0,0,0,0,0,29,261,313,440,487,550,674,662,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,10,70,126,332,312,751,114,31,193,101,2,0,0,0,0,0,0 | 2022-10-14 00:00:00 | 2022-10-15 23:00:00 | 0,0,0,0,0,0,45,4,0,132,61,184,0,0,0,0,0,0,0,0,0,0,0,0 | 2022-10-16 00:00:00 | 2022-10-16 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-10-16 00:00:00 to 2022-10-16 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction. When there are no clouds to block the sun, the Direct Normal ... | <history>0,0,0,0,0,0,29,261,313,440,487,550,674,662,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,10,70,126,332,312,751,114,31,193,101,2,0,0,0,0,0,0</history>
This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter)... | |
CIK/future/item93 | CIK | future | H | 0,0,0,0,0,0,0,0,0,7,40,37,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,369,43,221,969,1002,1011,1001,966,892,727,0,0,0,0,0,0 | 2022-01-23 00:00:00 | 2022-01-24 23:00:00 | 0,0,0,0,0,0,0,0,447,776,895,949,973,969,257,321,815,5,0,0,0,0,0,0 | 2022-01-25 00:00:00 | 2022-01-25 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-01-25 00:00:00 to 2022-01-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Direct Normal Irradiance for a location in Florida, United States.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction. When there are no clouds to block the sun, the Direct N... | <history>0,0,0,0,0,0,0,0,0,7,40,37,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,369,43,221,969,1002,1011,1001,966,892,727,0,0,0,0,0,0</history>
This series contains Direct Normal Irradiance for a location in Florida, United States.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) a... | |
CIK/future/item94 | CIK | future | H | 0,0,0,0,0,0,0,8,33,169,817,848,859,859,74,212,79,359,0,0,0,0,0,0,0,0,0,0,0,0,0,329,0,231,0,396,427,4,0,104,144,0,0,0,0,0,0,0 | 2022-06-04 00:00:00 | 2022-06-05 23:00:00 | 0,0,0,0,0,0,0,430,654,272,42,4,0,0,1,50,88,23,0,0,0,0,0,0 | 2022-06-06 00:00:00 | 2022-06-06 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-06-06 00:00:00 to 2022-06-06 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving directly from the sun on a surface perpendicular to the sunlight direction. When there are no clouds to block the sun, the Direct Normal ... | <history>0,0,0,0,0,0,0,8,33,169,817,848,859,859,74,212,79,359,0,0,0,0,0,0,0,0,0,0,0,0,0,329,0,231,0,396,427,4,0,104,144,0,0,0,0,0,0,0</history>
This series contains Direct Normal Irradiance for a location in Amazonas, Brazil.
The Direct Normal Irradiance is the total amount of sun energy (in Watts per squared meter) ar... | |
CIK/future/item95 | CIK | future | H | 0,0,0,0,0,0,19,138,219,287,267,144,146,145,137,127,113,91,56,0,0,0,0,0,0,0,0,0,0,0,7,34,92,248,323,286,174,411,412,364,269,202,12,0,0,0,0,0 | 2022-07-13 00:00:00 | 2022-07-14 23:00:00 | 0,0,0,0,0,0,40,138,276,291,184,155,158,156,159,154,144,119,86,0,0,0,0,0 | 2022-07-15 00:00:00 | 2022-07-15 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-07-15 00:00:00 to 2022-07-15 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Diffuse Horizontal Irradiance for a location in Sinaloa, Mexico.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving indirectly on a horizontal surface, ignoring the direct sunlight. Even when there are no clouds to scatter the sun light, there ... | <history>0,0,0,0,0,0,19,138,219,287,267,144,146,145,137,127,113,91,56,0,0,0,0,0,0,0,0,0,0,0,7,34,92,248,323,286,174,411,412,364,269,202,12,0,0,0,0,0</history>
This series contains Diffuse Horizontal Irradiance for a location in Sinaloa, Mexico.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Wat... | |
CIK/future/item96 | CIK | future | H | 0,0,0,0,0,0,15,22,24,50,64,150,216,214,248,134,256,160,61,36,0,0,0,0,0,0,0,0,0,0,26,49,63,72,79,82,83,83,81,77,72,64,52,32,0,0,0,0 | 2022-08-09 00:00:00 | 2022-08-10 23:00:00 | 0,0,0,0,0,0,27,55,73,86,95,397,117,451,114,96,80,67,54,32,0,0,0,0 | 2022-08-11 00:00:00 | 2022-08-11 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-08-11 00:00:00 to 2022-08-11 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Diffuse Horizontal Irradiance for a location in Ontario, Canada.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving indirectly on a horizontal surface, ignoring the direct sunlight. Even when there are no clouds to scatter the sun light, there ... | <history>0,0,0,0,0,0,15,22,24,50,64,150,216,214,248,134,256,160,61,36,0,0,0,0,0,0,0,0,0,0,26,49,63,72,79,82,83,83,81,77,72,64,52,32,0,0,0,0</history>
This series contains Diffuse Horizontal Irradiance for a location in Ontario, Canada.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per sq... | |
CIK/future/item97 | CIK | future | H | 0,0,0,0,0,0,17,138,284,338,365,359,297,285,126,120,132,38,0,0,0,0,0,0,0,0,0,0,0,0,28,115,251,341,405,528,235,448,378,371,227,67,0,0,0,0,0,0 | 2022-10-14 00:00:00 | 2022-10-15 23:00:00 | 0,0,0,0,0,0,21,143,59,447,432,488,99,45,31,33,67,42,0,0,0,0,0,0 | 2022-10-16 00:00:00 | 2022-10-16 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-10-16 00:00:00 to 2022-10-16 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Diffuse Horizontal Irradiance for a location in Amazonas, Brazil.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving indirectly on a horizontal surface, ignoring the direct sunlight. Even when there are no clouds to scatter the sun light, there... | <history>0,0,0,0,0,0,17,138,284,338,365,359,297,285,126,120,132,38,0,0,0,0,0,0,0,0,0,0,0,0,28,115,251,341,405,528,235,448,378,371,227,67,0,0,0,0,0,0</history>
This series contains Diffuse Horizontal Irradiance for a location in Amazonas, Brazil.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Wa... | |
CIK/future/item98 | CIK | future | H | 0,0,0,0,0,0,0,0,18,90,198,239,194,148,152,78,70,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,31,163,257,77,80,79,75,69,59,43,0,0,0,0,0,0 | 2022-01-23 00:00:00 | 2022-01-24 23:00:00 | 0,0,0,0,0,0,0,0,26,52,64,75,81,84,359,243,68,67,0,0,0,0,0,0 | 2022-01-25 00:00:00 | 2022-01-25 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-01-25 00:00:00 to 2022-01-25 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Diffuse Horizontal Irradiance for a location in Florida, United States.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving indirectly on a horizontal surface, ignoring the direct sunlight. Even when there are no clouds to scatter the sun light,... | <history>0,0,0,0,0,0,0,0,18,90,198,239,194,148,152,78,70,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,31,163,257,77,80,79,75,69,59,43,0,0,0,0,0,0</history>
This series contains Diffuse Horizontal Irradiance for a location in Florida, United States.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squ... | |
CIK/future/item99 | CIK | future | H | 0,0,0,0,0,0,0,104,220,333,113,116,115,108,342,265,203,66,0,0,0,0,0,0,0,0,0,0,0,0,0,85,120,270,35,307,295,251,30,264,182,3,0,0,0,0,0,0 | 2022-06-04 00:00:00 | 2022-06-05 23:00:00 | 0,0,0,0,0,0,0,62,89,252,320,246,58,136,127,255,196,92,0,0,0,0,0,0 | 2022-06-06 00:00:00 | 2022-06-06 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2022-06-06 00:00:00 to 2022-06-06 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This series contains Diffuse Horizontal Irradiance for a location in Amazonas, Brazil.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts per squared meter) arriving indirectly on a horizontal surface, ignoring the direct sunlight. Even when there are no clouds to scatter the sun light, there... | <history>0,0,0,0,0,0,0,104,220,333,113,116,115,108,342,265,203,66,0,0,0,0,0,0,0,0,0,0,0,0,0,85,120,270,35,307,295,251,30,264,182,3,0,0,0,0,0,0</history>
This series contains Diffuse Horizontal Irradiance for a location in Amazonas, Brazil.
The Diffuse Horizontal Irradiance is the total amount of sun energy (in Watts pe... |
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