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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'question_format'})
This happened while the csv dataset builder was generating data using
hf://datasets/Time-QA/TimeQA/Open_Ended_QA/open_ended_QA.csv (at revision 5c4c4d1fce4fc575f3c8d92e69971c70f7d74529)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
application_domain: string
task_type: string
question_format: string
QA_list: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 761
to
{'application_domain': Value(dtype='string', id=None), 'task_type': Value(dtype='string', id=None), 'QA_list': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'question_format'})
This happened while the csv dataset builder was generating data using
hf://datasets/Time-QA/TimeQA/Open_Ended_QA/open_ended_QA.csv (at revision 5c4c4d1fce4fc575f3c8d92e69971c70f7d74529)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
application_domain
string | task_type
string | QA_list
string |
|---|---|---|
AIOps-Web | anomaly detection | "question": "This dataset includes data from Yahoo's servers and various service metrics, allowing us to assess the operational status of the related equipment based on the information provided. The input Time Serie is [2865.41985245168, 2917.96257617132, 2764.0783057705603, 2943.24111044902, 2964.69393272826, 3318.42341874787, 3486.27479024337, 3074.52548755813]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Machine | anomaly detection | "question": "This data originates from machine system, and it is used to evaluate system condition. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [-386.0, -394.0, -403.0, -414.0, -425.0, -435.0, -444.0, -452.0, -459.0, -465.0, -470.0, -475.0, -478.0, -479.0, -477.0, -473.0, -468.0, -462.0, -456.0, -449.0, -443.0, -438.0, -434.0, -430.0, -428.0, -429.0, -433.0, -439.0, -446.0, -454.0, -462.0, -470.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.07, 0.07, 0.07, 0.08, 0.08, 0.08, 0.08, 0.07, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.07, 0.07, 0.06, 0.07, 0.07, 0.07, 0.06, 0.07, 0.06, 0.07, 0.06, 0.05, 0.06, 0.06, 0.06, 0.05, 0.06, 0.06, 0.05, 0.05, 0.05, 0.04, 0.05, 0.04, 0.04, 0.03, 0.04, 0.06, 0.05, 0.05, 0.04, 0.06, 0.08, 0.12, 0.07, 0.13, 0.11, 0.25, 0.13, 0.12, 0.08, 0.02, 0.04, 0.04, 0.05, 0.05, 0.05, 0.05, 0.02, -0.01]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [31.34, 33.21, 30.85, 32.19, 32.77, 33.0, 32.67, 34.53, 34.1, 30.92, 31.31, 33.88, 31.86, 31.28, 32.83, 30.96]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [6.81, 6.94, 6.99, 7.06, 7.06, 7.26, 7.16, 7.17, 7.3, 7.26, 7.26, 7.31, 7.36, 7.2, 7.34, 7.35]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Machine | anomaly detection | "question": "This data originates from machine system, and it is used to evaluate system condition. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.0, 0.0, 0.0, 0.0, 0.0, -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -6.0, -7.0, -3.0, -4.0, -4.0, -6.0, -6.0, -5.0, -4.0, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.06, 0.05, 0.06, 0.06, 0.05, 0.06, 0.04, 0.0, 0.02, -0.02, -0.02, -0.04, -0.04, -0.04, 0.0, -0.01, 0.0, 0.02, 0.01, 0.01, 0.03, 0.02, 0.02, 0.02, 0.02, 0.01, 0.04, 0.02, 0.01, 0.01, 0.02, 0.02, 0.02, 0.01, 0.01, 0.02, 0.03, 0.02, 0.01, 0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.0, 0.03, 0.05, 0.05, 0.07, 0.04, 0.16, 0.09, 0.06, 0.07, -0.01, -0.02, -0.01, -0.01, 0.02, -0.02]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [8.86, 8.91, 8.96, 8.86, 9.26, 9.25, 9.26, 8.98, 8.92, 8.79, 8.53, 8.56, 8.81, 8.74, 8.9, 8.6]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [7.22, 7.2, 7.35, 7.22, 7.28, 7.21, 7.19, 7.2, 7.3, 7.21, 7.21, 7.21, 7.21, 7.24, 7.2, 7.21]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps-Web | anomaly detection | "question": "This dataset includes data from Yahoo's servers and various service metrics, allowing us to assess the operational status of the related equipment based on the information provided. The input Time Serie is [30905.0256946204, 30451.930050247403, 30498.9586295694, 30865.8943436782, 30681.9823441012, 31040.3049383913, 30795.6201918299, 31157.0984663198]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [1.86, 1.36, 1.46, 1.69, 1.7, 1.7, 1.8, 1.86, 1.84, 1.88, 1.64, 1.63, 1.62, 1.81, 1.73, 1.91]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.04, -0.03, -0.02, -0.02, -0.02, 0.01, 0.0, 0.01, 0.01, 0.03, 0.02, 0.04, 0.04, 0.06, 0.06, 0.06, 0.04, 0.04, 0.03, 0.05, 0.03, 0.0, 0.0, -0.02, -0.04, -0.03, -0.02, -0.04, -0.01, -0.02, -0.02, -0.02, 0.01, -0.01, -0.01, -0.01, -0.01, -0.01, 0.01, 0.01, 0.01, 0.01, 0.01, -0.01, 0.02, 0.0, 0.01, 0.0, 0.01, -0.01, 0.0, -0.01, 0.0, -0.02, -0.01, -0.02, 0.01, 0.03, 0.01, 0.05, 0.06, 0.14, 0.09, 0.04]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.02, 0.03, 0.05, 0.04, 0.05, 0.06, 0.07, 0.07, 0.09, 0.1, 0.1, 0.1, 0.11, 0.12, 0.1, 0.1, 0.09, 0.08, 0.04, 0.04, 0.02, -0.01, 0.0, 0.02, 0.03, 0.03, 0.04, 0.05, 0.05, 0.03, 0.06, 0.05, 0.05, 0.04, 0.05, 0.05, 0.04, 0.06, 0.06, 0.05, 0.04, 0.04, 0.03, 0.06, 0.04, 0.05, 0.05, 0.04, 0.04, 0.03, 0.03, 0.02, 0.03, 0.02, 0.02, 0.0, 0.02, 0.0, 0.0, 0.01, 0.02, 0.01, 0.0, 0.01]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [130.5, 135.53, 133.94, 129.85, 129.55, 134.51, 138.77, 134.56, 128.52, 129.58, 128.03, 130.06, 130.82, 131.65, 132.62, 135.11]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [2.9, 2.98, 3.24, 3.14, 2.99, 3.13, 3.16, 3.26, 3.23, 3.36, 3.22, 3.1, 3.3, 3.16, 2.99, 3.41]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, -0.01, -0.02, -0.04, -0.05, -0.07, -0.09, -0.09, -0.1, -0.09, -0.09, -0.08, -0.06, -0.02, -0.03, -0.03, -0.02, -0.03, -0.01, 0.01, -0.01, -0.01, -0.01, -0.03, -0.02, -0.01, 0.01, 0.01, -0.01, -0.01, -0.02, -0.01, 0.0, 0.0, 0.0, -0.02, 0.0, -0.01, 0.0, 0.01, -0.01, 0.0, 0.0, -0.01, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02, 0.01, 0.01, 0.02, 0.01, 0.0, 0.0, 0.01]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [2.36, 2.72, 2.61, 2.56, 2.44, 2.3, 2.4, 2.78, 2.65, 2.42, 2.85, 3.04, 3.04, 2.53, 2.76, 3.13]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [6.599999904630001, 5.400000095369999, 5.5625, 6.125, 7.1875, 6.0, 5.25, 6.4375, 7.625, 8.1875, 5.8125, 6.9375, 7.0625, 4.4375, 3.375, 6.875]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [3.14, 3.03, 3.33, 2.82, 3.01, 3.21, 2.98, 3.12, 3.2, 2.9, 3.27, 3.02, 2.88, 3.16, 3.0, 2.95]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-1.98, -1.72, -1.6, -1.38, -1.46, -1.36, -1.08, -1.58, -1.18, -1.1, -1.04, -1.14, -1.25, -0.97, -1.16, -1.29]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [0.02, 0.08, -0.06, -0.02, -0.16, -0.07, -0.08, 0.05, 0.05, 0.18, 0.16, -0.01, 0.19, 0.3, 0.24, 0.26]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.11, -0.1, -0.09, -0.07, -0.05, -0.02, -0.01, 0.01, 0.03, 0.04, 0.04, 0.05, 0.05, 0.04, 0.03, 0.02, 0.02, 0.02, 0.02, 0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.05, 0.06, 0.05, 0.05, 0.05, 0.05, 0.05, 0.04, 0.04, 0.04, 0.03, 0.05, 0.02, 0.02, 0.02, 0.03, 0.03, 0.04, 0.03, 0.04, 0.02, 0.03, 0.03, 0.03, 0.03, 0.02, 0.04, 0.03, 0.03, 0.03, 0.04, 0.04, 0.04, 0.02, 0.06, 0.05, 0.07, 0.04]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [5.12, 5.04, 5.0, 4.88, 4.98, 4.69, 4.94, 5.0, 4.73, 4.77, 4.88, 4.64, 4.6, 4.66, 4.76, 4.55]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [8.7, 8.76, 8.94, 8.62, 8.71, 8.6, 8.66, 8.7, 8.56, 8.76, 8.86, 8.92, 9.02, 9.22, 9.25, 9.07]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-1.56, -1.5, -1.38, -1.24, -1.28, -1.23, -0.99, -1.06, -1.18, -1.3, -1.42, -1.34, -1.32, -1.24, -1.3, -1.32]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-7.88, -8.24, -8.58, -8.38, -7.36, -6.64, -5.86, -5.94, -5.67, -6.86, -6.84, -6.18, -6.38, -6.84, -6.58, -6.84]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-24.62, -24.46, -24.64, -24.28, -24.52, -24.5, -24.51, -24.19, -24.24, -24.3, -24.29, -23.96, -24.79, -24.67, -24.35, -24.31]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [33.41, 35.09, 33.61, 34.72, 33.95, 34.81, 32.62, 34.78, 34.46, 35.73, 33.36, 37.51, 36.29, 34.2, 34.93, 34.95]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.02, -0.06, -0.08, -0.1, -0.07, -0.07, -0.08, -0.07, -0.06, -0.04, -0.03, -0.06, -0.04, -0.03, -0.05, -0.04, -0.05, -0.04, -0.01, -0.03, -0.02, -0.04, -0.03, -0.05, -0.04, -0.02, -0.04, -0.06, -0.04, -0.06, -0.03, -0.07, -0.05, -0.07, -0.05, -0.04, -0.04, -0.06, -0.05, -0.05, -0.04, -0.03, -0.06, -0.06, -0.05, -0.04, -0.05, 0.01, 0.0, -0.01, 0.06, 0.03, 0.07, -0.03, -0.04, -0.11, -0.11, -0.1, -0.09, -0.1, -0.1, -0.07, -0.1, -0.11]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [37.77, 37.05, 37.81, 36.81, 39.19, 36.08, 38.85, 37.52, 38.43, 36.26, 36.96, 39.48, 36.76, 38.41, 36.45, 39.89]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [1.73, 1.96, 1.96, 1.86, 1.82, 1.98, 1.92, 1.81, 1.54, 1.44, 1.54, 1.66, 1.74, 1.58, 1.52, 1.55]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-4.58, -4.88, -4.21, -3.85, -4.6, -5.12, -4.42, -4.52, -5.32, -5.33, -4.27, -5.06, -5.5, -4.68, -5.5, -5.78]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.05, 0.07, 0.09, -0.03, -0.22, -0.4, 0.06, 0.73, 1.12, 1.28, 1.56, 1.77, 2.25, 1.75, 1.19, 0.32, 0.19, 0.16, -0.1, -0.14, -0.17, -0.23, -0.27, -0.29, -0.34, -0.4, -0.46, -0.5, -0.59, -0.63, -0.72, -0.75, -0.83, -0.88, -0.9, -0.88, -0.81, -0.77, -0.64, -0.56, -0.44, -0.36, -0.23, -0.17, -0.09, -0.05, -0.01, 0.0, -0.01, 0.0, 0.03, 0.01, 0.0, 0.04, 0.05, 0.02, 0.02, 0.02, 0.03, 0.01, 0.02, 0.01, 0.02, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.09, 0.04, 0.02, 0.0, 0.0, 0.0, 0.03, 0.02, 0.04, 0.04, 0.03, 0.03, 0.02, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.02, 0.03, 0.02, 0.02, 0.02, 0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.01, -0.01, 0.0, 0.02, 0.01, 0.01, 0.01, 0.01, -0.01, 0.02, 0.01, 0.02, 0.04, 0.07, 0.04, 0.1, 0.14, 0.12, 0.07, 0.05, -0.04, -0.03, -0.03, -0.01]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.67, -0.58, -0.47, -0.37, -0.23, -0.18, -0.08, -0.04, 0.01, 0.04, 0.0, 0.05, 0.03, 0.08, 0.05, 0.07, 0.06, 0.05, 0.06, 0.09, 0.1, 0.08, 0.1, 0.07, 0.07, 0.03, 0.15, 0.25, 0.26, 0.17, 0.37, -0.09, -0.45, 0.02, 0.14, 0.91, 1.37, 1.4, 1.89, 2.23, 1.82, 1.15, 0.05, 0.22, 0.0, -0.05, -0.09, -0.16, -0.11, -0.18, -0.12, -0.21, -0.19, -0.27, -0.41, -0.49, -0.62, -0.7, -0.77, -0.79, -0.83, -0.82, -0.85, -0.81]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [1.22222220898, 1.0, 0.777777791023, 1.66666662693, 1.11111116409, 0.444444447756, 1.0, 1.0, 1.0, 1.0, 0.444444447756, 0.6666666865349999, 0.444444447756, 0.777777791023, 0.888888895512, 0.888888895512]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.02, -0.01, 0.03, 0.04, 0.03, 0.02, 0.02, 0.01, 0.04, 0.02, 0.02, 0.03, 0.02, 0.02, 0.04, 0.01, -0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.03, 0.01, 0.0, -0.01, 0.05, 0.02, 0.02, 0.04, 0.01, 0.03, 0.04, 0.04, 0.02, 0.05, 0.03, 0.06, 0.03, 0.06, 0.04, 0.03, 0.05, 0.02, 0.03, 0.03, 0.05, 0.01, 0.06, 0.04, 0.01, 0.05, 0.05, 0.09, 0.07, 0.11, 0.1, 0.14, 0.08, 0.09, 0.0, -0.05, -0.02, -0.03]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-3.06, -3.0, -3.12, -3.17, -3.19, -3.2, -3.28, -3.28, -3.37, -3.4, -3.44, -3.42, -3.4, -3.38, -3.38, -3.46]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [5.05, 5.06, 5.0, 4.85, 4.76, 4.78, 4.81, 4.8, 4.9, 4.78, 5.08, 5.14, 5.18, 5.2, 5.14, 5.16]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [33.61, 31.74, 30.4, 30.91, 30.66, 29.23, 30.21, 29.01, 30.55, 31.27, 30.98, 31.03, 31.09, 32.08, 32.99, 31.11]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.33, 0.97, 1.46, 2.06, 2.19, 2.25, 1.3, 0.53, -0.09, 0.04, -0.12, -0.03, -0.08, -0.1, -0.1, -0.12, -0.12, -0.16, -0.17, -0.22, -0.24, -0.3, -0.35, -0.42, -0.46, -0.54, -0.58, -0.62, -0.62, -0.6, -0.54, -0.44, -0.35, -0.26, -0.17, -0.07, -0.01, 0.05, 0.07, 0.11, 0.11, 0.13, 0.12, 0.13, 0.11, 0.09, 0.11, 0.1, 0.12, 0.11, 0.12, 0.11, 0.12, 0.11, 0.14, 0.11, 0.13, 0.13, 0.1, 0.11, 0.11, 0.12, 0.11, 0.13]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.13, 0.12, 0.13, 0.14, 0.14, 0.13, 0.14, 0.14, 0.12, 0.13, 0.13, 0.13, 0.14, 0.13, 0.13, 0.13, 0.13, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.09, 0.11, 0.1, 0.11, 0.11, 0.11, 0.1, 0.1, 0.11, 0.1, 0.11, 0.12, 0.11, 0.11, 0.12, 0.13, 0.12, 0.13, 0.11, 0.13, 0.12, 0.13, 0.13, 0.13, 0.13, 0.13, 0.12, 0.16, 0.19, 0.16, 0.21, 0.18, 0.3, 0.18, 0.19, 0.12, 0.06, 0.06, 0.08, 0.08, 0.09]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [3.72, 3.77, 3.86, 3.6, 3.48, 3.59, 3.54, 3.88, 4.3, 4.48, 4.62, 4.61, 4.54, 4.48, 4.6, 4.72]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.03, 0.02, 0.02, 0.01, 0.04, -0.02, 0.05, 0.03, 0.01, 0.05, 0.04, 0.02, 0.03, 0.03, 0.02, 0.02, 0.02, 0.01, -0.01, 0.0, -0.02, -0.02, 0.01, -0.01, -0.03, 0.02, -0.03, -0.01, 0.01, -0.03, 0.01, -0.03, -0.02, -0.02, 0.01, -0.02, -0.03, -0.01, -0.03, -0.03, -0.04, -0.01, -0.02, -0.02, -0.01, -0.07, -0.01, -0.04, -0.04, 0.02, -0.03, 0.02, 0.01, 0.01, 0.07, 0.04, 0.05, -0.01, -0.02, -0.07, -0.1, -0.06, -0.02, -0.04]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.02, 0.01, 0.05, 0.05, 0.05, 0.04, 0.07, 0.06, 0.05, 0.05, 0.04, 0.02, 0.01, -0.01, -0.05, -0.05, -0.07, -0.09, -0.07, -0.07, -0.06, -0.04, -0.04, -0.02, -0.03, -0.02, -0.02, -0.03, -0.02, -0.02, -0.01, -0.02, -0.02, -0.03, -0.02, -0.01, 0.0, -0.02, -0.02, -0.02, -0.02, -0.03, -0.01, -0.03, -0.02, -0.04, -0.04, -0.04, -0.02, -0.02, -0.03, -0.04, -0.03, -0.02, -0.01, -0.02, -0.04, -0.03, -0.04, -0.03, -0.03, 0.02, 0.01, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.01, -0.01, 0.0, 0.0, 0.01, 0.02, 0.02, 0.03, 0.03, 0.01, 0.04, 0.02, 0.03, 0.02, -0.01, -0.05, -0.07, -0.05, -0.08, -0.1, -0.11, -0.11, -0.06, -0.08, -0.04, -0.04, 0.0, -0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.02, 0.01, -0.01, 0.02, 0.0, -0.01, 0.02, -0.01, 0.0, -0.01, -0.01, 0.01, -0.02, -0.01, -0.01, 0.0, -0.01, -0.03, -0.04, -0.01, -0.04, -0.04, -0.04, -0.03, -0.04, -0.04, -0.06, -0.04, -0.07, -0.04, -0.05]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-1.22, -1.17, -1.5, -1.45, -1.22, -1.31, -1.56, -1.64, -1.65, -1.79, -1.68, -1.73, -1.49, -1.32, -1.34, -1.12]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps-Web | anomaly detection | "question": "This dataset includes data from Yahoo's servers and various service metrics, allowing us to assess the operational status of the related equipment based on the information provided. The input Time Serie is [-1265.93442209521, -1364.88201552643, -1358.7282314182198, -1251.96890215641, -1214.53374802534, -952.6548929466568, -801.408774323506, -704.299733563356]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [1.36, 1.19, 1.31, 1.36, 1.27, 0.97, 1.18, 1.36, 1.14, 1.36, 1.33, 1.36, 1.36, 1.18, 1.08, 0.95]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [5.46, 5.09, 5.0, 5.1, 4.88, 4.97, 4.98, 5.06, 5.09, 5.07, 5.06, 5.11, 5.08, 5.08, 5.11, 5.34]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.0, 0.0, 0.0, 0.0526315793395, 0.10000000149, 0.0, 0.25, 0.0, 0.10000000149, 0.15000000596, 0.0, 0.0500000007451, 0.0, 0.0500000007451, 0.0526315793395, 0.105263158679]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.01, 0.03, 0.03, 0.03, 0.04, 0.04, 0.03, 0.04, 0.05, 0.03, 0.04, 0.01, 0.0, 0.0, -0.01, -0.03, -0.03, -0.04, -0.04, -0.04, -0.02, -0.02, 0.01, 0.03, 0.05, 0.07, 0.06, 0.06, 0.08, 0.06, 0.06, 0.06, 0.03, 0.04, 0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.05, 0.04, 0.05, 0.05, 0.06, 0.04, 0.05, 0.05, 0.05, 0.07, 0.05, 0.05, 0.04, 0.05, 0.05, 0.06, 0.04, 0.05, 0.05, 0.06, 0.07, 0.1, 0.04, 0.1]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Machine | anomaly detection | "question": "This data originates from machine system, and it is used to evaluate system condition. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [52.0, 68.0, 72.0, 81.0, 85.0, 87.0, 88.0, 79.0, 63.0, 45.0, 23.0, 7.0, -1.0, -13.0, -23.0, -26.0, -31.0, -31.0, -31.0, -35.0, -37.0, -34.0, -30.0, -31.0, -35.0, -32.0, -28.0, -28.0, -30.0, -34.0, -34.0, -31.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [4.08, 3.96, 4.16, 4.11, 4.23, 4.18, 3.86, 3.84, 4.09, 3.72, 4.0, 3.91, 4.0, 3.8, 3.8, 3.84]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.0, -0.01, 0.0, -0.01, -0.01, 0.0, 0.02, 0.01, 0.01, 0.04, 0.0, 0.0, 0.0, 0.0, 0.01, 0.02, -0.01, -0.01, 0.0, -0.02, 0.02, -0.02, -0.01, 0.0, -0.01, -0.01, -0.03, -0.04, 0.0, -0.01, -0.06, -0.02, -0.01, -0.02, -0.04, -0.03, -0.01, -0.02, -0.04, -0.05, -0.02, -0.05, -0.06, -0.05, -0.04, -0.04, -0.06, -0.05, -0.03, -0.05, -0.03, -0.06, -0.04, -0.04, -0.05, -0.01, -0.05, -0.03, -0.05, -0.06, -0.02, -0.03, -0.06, -0.05]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.03, -0.05, -0.03, -0.02, -0.01, 0.0, 0.01, -0.01, -0.01, 0.0, 0.02, 0.02, 0.01, 0.02, 0.01, 0.01, 0.03, 0.03, 0.02, 0.0, -0.02, -0.03, -0.05, -0.06, -0.08, -0.07, -0.08, -0.07, -0.06, -0.05, -0.02, -0.03, -0.03, -0.03, -0.03, -0.02, -0.02, -0.02, -0.02, -0.02, -0.02, -0.02, -0.02, -0.01, -0.02, -0.01, -0.03, -0.01, -0.01, -0.01, -0.01, -0.02, -0.01, -0.01, -0.01, -0.02, -0.02, -0.02, -0.02, -0.02, -0.02, 0.0, 0.04, 0.01]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [32.29, 31.66, 31.06, 32.94, 34.07, 32.6, 33.17, 31.33, 31.22, 29.95, 31.52, 32.07, 32.1, 31.88, 34.75, 31.55]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Machine | anomaly detection | "question": "This data originates from machine system, and it is used to evaluate system condition. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [30.0, 41.0, 45.0, 45.0, 37.0, 30.0, 18.0, 2.0, -16.0, -32.0, -30.0, -10.0, 13.0, 19.0, 9.0, 1.0, -2.0, 6.0, 32.0, 45.0, 30.0, 14.0, -1.0, -13.0, -18.0, -25.0, -33.0, -30.0, -15.0, 6.0, 19.0, 14.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.20000000298, 0.10000000149, 0.25, 0.157894730568, 0.300000011921, 0.15000000596, 0.10000000149, 0.15000000596, 0.300000011921, 0.15000000596, 0.300000011921, 0.40000000596, 0.25, 0.25, 0.20000000298, 0.10000000149]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [0.20000000298, 0.20000000298, 0.0500000007451, 0.0500000007451, 0.25, 0.34999999404, 0.25, 0.20000000298, 0.25, 0.449999988079, 0.25, 0.15000000596, 0.25, 0.20000000298, 0.15000000596, 0.20000000298]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.07, 0.07, 0.09, 0.09, 0.06, 0.08, 0.09, 0.09, 0.08, 0.11, 0.1, 0.1, 0.08, 0.09, 0.07, 0.05, 0.04, 0.03, -0.01, 0.0, -0.01, 0.01, 0.0, 0.01, 0.02, 0.03, 0.03, 0.04, 0.04, 0.04, 0.06, 0.05, 0.06, 0.07, 0.07, 0.05, 0.08, 0.06, 0.06, 0.07, 0.07, 0.08, 0.07, 0.06, 0.08, 0.06, 0.06, 0.05, 0.05, 0.05, 0.06, 0.05, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.03, 0.04, 0.08]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.11, -0.14, -0.15, -0.18, -0.17, -0.18, -0.19, -0.22, -0.24, -0.28, -0.29, -0.4, -0.24, -0.42, -0.48, -0.5, -0.52, -0.55, -0.55, -0.55, -0.53, -0.53, -0.37, -0.32, -0.25, -0.16, -0.13, -0.07, -0.02, 0.0, -0.01, 0.04, 0.0, 0.0, -0.04, 0.02, -0.04, 0.04, 0.01, 0.02, 0.03, 0.02, 0.02, 0.01, 0.05, -0.01, 0.12, 0.04, 0.06, 0.06, 0.05, 0.06, 0.04, 0.09, 0.04, 0.02, 0.15, 0.07, 0.06, 0.07, 0.04, 0.06, 0.08, 0.09]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps-Web | anomaly detection | "question": "This dataset includes data from Yahoo's servers and various service metrics, allowing us to assess the operational status of the related equipment based on the information provided. The input Time Serie is [39.975806408449294, 2.54617433286104, 482.2368552490401, 144.33154311879, 178.838759285928, 44.1834878388471, 11.4894097146542, -116.439514173551]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [2.94, 4.3, 3.11, 2.44, 2.86, 3.32, 3.03, 3.12, 2.12, 3.32, 3.88, 2.96, 4.88, 2.57, 3.43, 3.26]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.49, -0.15, 0.61, 1.79, 3.62, 4.44, 4.13, 2.88, 2.27, 1.52, 1.74, 2.78, 2.41, 1.78, 0.93, 0.06, -0.21, -0.32, -0.36, -0.48, -0.49, -0.59, -0.69, -0.77, -0.93, -1.05, -1.15, -1.26, -1.35, -1.54, -1.67, -1.78, -1.9, -2.0, -1.98, -1.99, -1.9, -1.78, -1.59, -1.37, -1.14, -0.9, -0.67, -0.43, -0.31, -0.19, -0.12, -0.07, -0.06, -0.04, -0.05, -0.04, -0.05, -0.03, -0.05, -0.07, -0.07, -0.08, -0.08, -0.09, -0.08, -0.09, -0.08, -0.07]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-6.1, -6.31, -6.32, -6.38, -6.32, -6.38, -6.33, -6.42, -6.62, -6.62, -6.46, -6.6, -6.64, -6.68, -6.69, -6.62]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-1.72, -1.62, -1.69, -1.76, -1.85, -1.88, -1.79, -1.84, -1.86, -1.85, -1.77, -1.9, -1.9, -1.9, -1.98, -1.9]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [9.15, 9.08, 9.01, 8.98, 8.88, 8.8, 8.83, 8.76, 8.78, 8.83, 8.7, 8.76, 8.77, 8.73, 8.68, 8.64]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [1.69, 1.53, 1.67, 1.54, 1.6, 1.52, 1.85, 1.95, 2.08, 1.86, 1.76, 1.61, 1.72, 1.89, 1.74, 2.1]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.05, 0.06, 0.06, 0.06, 0.08, 0.08, 0.06, 0.09, 0.09, 0.07, 0.07, 0.08, 0.09, 0.06, 0.06, 0.04, 0.03, 0.02, 0.0, -0.02, -0.01, -0.03, -0.03, -0.01, 0.02, 0.0, -0.01, 0.07, 0.03, 0.04, 0.04, 0.03, 0.03, 0.04, 0.02, 0.04, 0.01, 0.02, 0.03, 0.03, 0.02, 0.06, 0.04, 0.04, 0.04, 0.03, 0.05, 0.05, 0.04, 0.03, 0.05, 0.01, 0.04, -0.01, 0.01, 0.03, -0.01, 0.0, 0.02, 0.0, -0.03, -0.01, 0.0, -0.04]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.86, 1.26, 0.44, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [31.61, 32.58, 31.62, 32.18, 30.69, 31.92, 31.47, 33.87, 32.95, 31.43, 31.09, 29.85, 33.03, 29.55, 30.55, 30.69]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.06, -0.02, -0.02, -0.01, -0.02, -0.02, -0.02, -0.02, -0.02, 0.0, 0.0, -0.01, 0.01, 0.0, 0.0, 0.0, -0.02, -0.02, -0.02, -0.03, -0.03, -0.02, -0.02, -0.04, -0.03, -0.04, -0.04, -0.05, -0.03, -0.05, -0.05, -0.05, -0.05, -0.05, -0.06, -0.05, -0.05, -0.05, -0.07, -0.05, -0.06, -0.06, -0.07, -0.06, -0.08, -0.07, -0.07, -0.08, -0.07, -0.07, -0.08, -0.08, -0.09, -0.07, -0.07, -0.08, -0.07, -0.07, -0.07, -0.08, -0.07, -0.07, -0.06, -0.05]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [36.5, 32.5, 28.73, 34.93, 47.57, 32.73, 38.31, 30.82, 66.12, 33.0, 27.0, 32.8, 38.88, 36.67, 25.17, 37.77]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-4.54, -4.39, -4.4, -4.58, -4.68, -4.5, -4.96, -5.14, -5.08, -4.8, -5.22, -4.92, -4.94, -5.14, -4.76, -4.74]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-0.74, -0.62, -0.34, -0.74, -1.42, -0.64, -1.42, -1.36, -0.82, -1.54, -1.41, -1.78, -1.98, -1.57, -1.53, -1.91]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.16, -0.23, -0.22, -0.26, -0.38, -0.44, -0.52, -0.63, -0.67, -0.73, -0.79, -0.88, -0.96, -1.04, -1.12, -1.19, -1.26, -1.31, -1.31, -1.28, -1.19, -1.04, -0.89, -0.72, -0.56, -0.4, -0.28, -0.2, -0.16, -0.12, -0.13, -0.11, -0.11, -0.12, -0.1, -0.11, -0.1, -0.11, -0.09, -0.09, -0.1, -0.11, -0.12, -0.11, -0.1, -0.11, -0.12, -0.12, -0.11, -0.11, -0.12, -0.12, -0.12, -0.12, -0.12, -0.12, -0.12, -0.11, -0.11, -0.11, -0.11, -0.12, -0.1, -0.1]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-1.79, -1.88, -1.7, -1.99, -2.1, -2.02, -1.79, -1.64, -1.78, -1.89, -1.89, -2.23, -1.74, -1.59, -1.65, -1.84]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.02, -0.01, -0.01, -0.02, 0.0, 0.0, 0.01, 0.01, 0.01, 0.02, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.05, 0.03, 0.05, 0.05, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.02, 0.03, 0.02, 0.03, 0.02, 0.02, 0.01, 0.03, 0.02, 0.03, 0.03, 0.02, 0.04, 0.04, 0.03, 0.02, 0.02, 0.03, 0.03, 0.05, 0.03, 0.02, 0.02, 0.01, 0.01, -0.01, -0.01, -0.01, -0.02, -0.01, -0.02, -0.02, -0.04, -0.03, -0.04, -0.04, -0.04]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-4.21, -4.71, -4.06, -5.34, -5.22, -4.48, -5.12, -5.86, -6.03, -4.74, -5.14, -5.22, -5.22, -4.82, -4.64, -5.52]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [39.62, 41.28, 39.01, 41.51, 38.42, 39.02, 40.72, 42.06, 40.84, 39.27, 41.07, 39.37, 41.39, 38.56, 39.14, 39.25]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-6.35, -5.9, -6.14, -6.31, -5.8, -5.9, -6.2, -6.16, -5.8, -5.43, -5.94, -5.26, -5.77, -4.8, -4.86, -4.98]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [1.125, 0.5, 2.1875, 2.25, 0.5, 2.0, 1.0625, 1.0625, 0.75, 1.375, 1.0625, 0.9375, 0.9375, 1.3125, 0.4375, 1.875]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.04, 0.03, 0.07, 0.05, 0.06, 0.06, 0.06, 0.08, 0.12, 0.09, 0.1, 0.09, 0.1, 0.11, 0.08, 0.08, 0.08, 0.03, 0.02, 0.0, -0.01, -0.01, -0.03, -0.03, 0.03, 0.02, 0.04, 0.05, 0.04, 0.04, 0.07, 0.06, 0.06, 0.04, 0.07, 0.04, 0.07, 0.06, 0.06, 0.06, 0.08, 0.08, 0.06, 0.08, 0.05, 0.07, 0.06, 0.06, 0.06, 0.03, 0.05, 0.08, 0.04, 0.05, 0.06, 0.05, 0.04, 0.05, 0.05, 0.04, 0.04, 0.05, 0.12, 0.05]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [36.18, 37.25, 37.76, 39.35, 37.52, 36.24, 39.07, 35.91, 39.89, 37.03, 38.9, 38.2, 38.01, 39.04, 37.42, 38.37]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-7.75, -7.76, -7.8, -7.92, -7.96, -8.04, -8.06, -8.02, -8.02, -8.08, -8.12, -8.06, -8.1, -8.12, -8.16, -8.13]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [2.19, 2.47, 2.54, 2.51, 2.48, 2.54, 2.53, 2.48, 2.79, 2.42, 2.54, 2.44, 2.33, 2.61, 2.43, 2.67]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [-0.02, 0.01, 0.04, 0.05, 0.04, 0.02, 0.04, 0.03, 0.05, 0.01, 0.05, 0.04, 0.03, 0.03, 0.05, 0.01, 0.04, 0.03, 0.01, 0.0, -0.01, -0.02, -0.01, -0.03, -0.06, -0.04, -0.03, -0.05, -0.03, -0.01, 0.01, 0.0, 0.04, 0.0, 0.05, 0.03, 0.01, 0.04, 0.01, 0.0, 0.02, 0.01, 0.0, -0.01, 0.0, -0.03, -0.03, -0.04, -0.01, -0.03, -0.03, -0.02, -0.03, -0.06, -0.03, -0.04, -0.03, -0.05, -0.02, -0.03, 0.0, -0.01, -0.03, 0.0]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [4.45, 2.46, 0.9, 0.32, -0.08, -0.41, -0.53, -0.68, -0.79, -0.95, -0.98, -1.06, -1.17, -1.27, -1.37, -1.49, -1.62, -1.79, -1.95, -2.08, -2.19, -2.28, -2.32, -2.27, -2.17, -1.97, -1.73, -1.45, -1.18, -0.83, -0.63, -0.44, -0.31, -0.24, -0.19, -0.19, -0.16, -0.16, -0.13, -0.13, -0.12, -0.13, -0.11, -0.13, -0.14, -0.13, -0.15, -0.11, -0.12, -0.12, -0.12, -0.12, -0.11, -0.12, -0.12, -0.13, -0.12, -0.15, -0.12, -0.12, -0.11, -0.12, -0.13, -0.12]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [7.6875, 9.125, 9.3125, 7.75, 7.25, 8.5, 8.875, 11.25, 6.3125, 9.125, 8.0625, 8.375, 9.3125, 10.1875, 9.25, 9.1875]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [2.55, 2.62, 2.44, 2.5, 2.62, 2.58, 2.7, 2.56, 2.71, 2.64, 2.59, 2.77, 2.62, 3.01, 3.3, 3.14]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [-3.04, -3.02, -3.11, -3.08, -3.09, -3.06, -3.06, -3.08, -3.06, -3.06, -3.02, -3.02, -3.09, -3.08, -3.06, -3.1]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.24, -0.14, -0.13, -0.2, -0.22, -0.25, -0.3, -0.32, -0.36, -0.39, -0.44, -0.46, -0.52, -0.61, -0.69, -0.76, -0.88, -0.98, -1.04, -1.13, -1.17, -1.14, -1.08, -0.97, -0.81, -0.65, -0.47, -0.33, -0.17, -0.07, -0.01, 0.01, 0.04, 0.06, 0.06, 0.04, 0.06, 0.05, 0.05, 0.08, 0.07, 0.07, 0.07, 0.07, 0.05, 0.06, 0.05, 0.05, 0.04, 0.04, 0.05, 0.04, 0.03, 0.02, 0.05, 0.02, 0.03, 0.02, 0.03, 0.02, 0.0, 0.01, 0.03, 0.02]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
AIOps | anomaly detection | "question": "This data originates from monitoring systems and devices, and it is used to evaluate system performance or detect anomalies in time series. It also assesses the health and operational performance of devices or services. The dataset includes IOPS metrics recorded during the operation of storage systems or servers. Using this data, we can determine whether anomalies have occurred within the system. The input Time Serie is [158.55, 159.87, 160.98, 162.53, 153.58, 151.31, 158.86, 161.26, 154.96, 172.34, 158.56, 168.6, 159.43, 158.84, 177.24, 165.23]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [3.0, 3.28, 3.12, 3.04, 3.41, 3.47, 3.79, 3.49, 3.29, 3.43, 3.19, 2.94, 3.12, 3.4, 3.3, 3.3]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Machine sensors | anomaly detection | "question": "The following data is derived from manufacturing processes and equipment usage. It is applied in IT infrastructure or IoT systems. Please perform anomaly detection based on the provided data. The input Time Serie is [0.3417313395469173, 0.3445142499467363, 0.3809341501959294, 0.4467190252852653, 0.5296499495287588, 0.6432465014723571, 0.7548520059185259, 0.8607555635494506]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
Healthcare_ECG | anomaly detection | "question": "The following data represents ECG (Electrocardiogram) signals, which record the electrical activity of the heart during each heartbeat and serve as an important tool for diagnosing heart diseases. Using a signal sampled at a frequency of 500 Hz, we can determine whether abnormalities are present in the human body. The input Time Serie is [0.02, 0.03, 0.02, 0.02, 0.02, 0.02, 0.04, 0.03, 0.05, 0.03, 0.01, 0.01, -0.01, -0.01, -0.02, -0.03, -0.05, -0.06, -0.06, -0.05, -0.07, -0.07, -0.08, -0.04, -0.03, -0.01, -0.01, 0.01, 0.01, 0.03, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04, 0.02, 0.03, 0.04, 0.03, 0.03, 0.02, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.02, 0.02, 0.03, 0.02, 0.02, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.0, 0.01, 0.04, 0.06, 0.02]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Normal Point." |
Environment | anomaly detection | "question": "The following data is derived from an environmental monitoring wireless sensor network system designed to collect environmental data with high spatial and temporal resolution. It has been deployed in mountainous and urban areas. Specifically, it includes environmental parameters such as temperature, humidity, wind speed, and soil moisture. Using this data, it is possible to determine whether abnormal events are present in the environment. The input Time Serie is [12.74, 12.75, 12.44, 11.72, 11.12, 11.35, 11.29, 11.06, 11.78, 11.44, 11.24, 11.41, 10.99, 11.36, 11.11, 11.92]. Please determine whether there are anomalies in this time series given information above.", "answer": "Based on the given information, this time series includes Anomaly Point." |
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