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DatasetDescription

Source code in docs_src/capo_rekognition/types/dataset_description.py 
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class DatasetDescription(TypedDict, closed=True):
    creation_timestamp: NotRequired["capo_rekognition.types.date_time.DateTime"]
    """<p> The Unix timestamp for the time and date that the dataset was created. </p>"""
    last_updated_timestamp: NotRequired["capo_rekognition.types.date_time.DateTime"]
    """<p> The Unix timestamp for the date and time that the dataset was last updated. </p>"""
    status: NotRequired["capo_rekognition.types.dataset_status.DatasetStatus"]
    """<p> The status of the dataset. </p>"""
    status_message: NotRequired["capo_rekognition.types.status_message.StatusMessage"]
    """<p> The status message for the dataset. </p>"""
    status_message_code: NotRequired[
        "capo_rekognition.types.dataset_status_message_code.DatasetStatusMessageCode"
    ]
    """<p> The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed. </p>"""
    dataset_stats: NotRequired["capo_rekognition.types.dataset_stats.DatasetStats"]
    """<p> The status message code for the dataset. </p>"""

creation_timestamp instance-attribute 

creation_timestamp: NotRequired[DateTime]

The Unix timestamp for the time and date that the dataset was created.

dataset_stats instance-attribute 

dataset_stats: NotRequired[DatasetStats]

The status message code for the dataset.

last_updated_timestamp instance-attribute 

last_updated_timestamp: NotRequired[DateTime]

The Unix timestamp for the date and time that the dataset was last updated.

status instance-attribute 

status: NotRequired[DatasetStatus]

The status of the dataset.

status_message instance-attribute 

status_message: NotRequired[StatusMessage]

The status message for the dataset.

status_message_code instance-attribute 

status_message_code: NotRequired[DatasetStatusMessageCode]

The status message code for the dataset operation. If a service error occurs, try the API call again later. If a client error occurs, check the input parameters to the dataset API call that failed.