list_labeling_jobs

list_labeling_jobs(**kwargs)

Gets a list of labeling jobs.

See also: AWS API Documentation

Request Syntax

response = client.list_labeling_jobs(
    CreationTimeAfter=datetime(2015, 1, 1),
    CreationTimeBefore=datetime(2015, 1, 1),
    LastModifiedTimeAfter=datetime(2015, 1, 1),
    LastModifiedTimeBefore=datetime(2015, 1, 1),
    MaxResults=123,
    NextToken='string',
    NameContains='string',
    SortBy='Name'|'CreationTime'|'Status',
    SortOrder='Ascending'|'Descending',
    StatusEquals='Initializing'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped'
)
Parameters
  • CreationTimeAfter (datetime) -- A filter that returns only labeling jobs created after the specified time (timestamp).
  • CreationTimeBefore (datetime) -- A filter that returns only labeling jobs created before the specified time (timestamp).
  • LastModifiedTimeAfter (datetime) -- A filter that returns only labeling jobs modified after the specified time (timestamp).
  • LastModifiedTimeBefore (datetime) -- A filter that returns only labeling jobs modified before the specified time (timestamp).
  • MaxResults (integer) -- The maximum number of labeling jobs to return in each page of the response.
  • NextToken (string) -- If the result of the previous ListLabelingJobs request was truncated, the response includes a NextToken . To retrieve the next set of labeling jobs, use the token in the next request.
  • NameContains (string) -- A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
  • SortBy (string) -- The field to sort results by. The default is CreationTime .
  • SortOrder (string) -- The sort order for results. The default is Ascending .
  • StatusEquals (string) -- A filter that retrieves only labeling jobs with a specific status.
Return type

dict

Returns

Response Syntax

{
    'LabelingJobSummaryList': [
        {
            'LabelingJobName': 'string',
            'LabelingJobArn': 'string',
            'CreationTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'LabelingJobStatus': 'Initializing'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped',
            'LabelCounters': {
                'TotalLabeled': 123,
                'HumanLabeled': 123,
                'MachineLabeled': 123,
                'FailedNonRetryableError': 123,
                'Unlabeled': 123
            },
            'WorkteamArn': 'string',
            'PreHumanTaskLambdaArn': 'string',
            'AnnotationConsolidationLambdaArn': 'string',
            'FailureReason': 'string',
            'LabelingJobOutput': {
                'OutputDatasetS3Uri': 'string',
                'FinalActiveLearningModelArn': 'string'
            },
            'InputConfig': {
                'DataSource': {
                    'S3DataSource': {
                        'ManifestS3Uri': 'string'
                    },
                    'SnsDataSource': {
                        'SnsTopicArn': 'string'
                    }
                },
                'DataAttributes': {
                    'ContentClassifiers': [
                        'FreeOfPersonallyIdentifiableInformation'|'FreeOfAdultContent',
                    ]
                }
            }
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • LabelingJobSummaryList (list) --

      An array of LabelingJobSummary objects, each describing a labeling job.

      • (dict) --

        Provides summary information about a labeling job.

        • LabelingJobName (string) --

          The name of the labeling job.

        • LabelingJobArn (string) --

          The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

        • CreationTime (datetime) --

          The date and time that the job was created (timestamp).

        • LastModifiedTime (datetime) --

          The date and time that the job was last modified (timestamp).

        • LabelingJobStatus (string) --

          The current status of the labeling job.

        • LabelCounters (dict) --

          Counts showing the progress of the labeling job.

          • TotalLabeled (integer) --

            The total number of objects labeled.

          • HumanLabeled (integer) --

            The total number of objects labeled by a human worker.

          • MachineLabeled (integer) --

            The total number of objects labeled by automated data labeling.

          • FailedNonRetryableError (integer) --

            The total number of objects that could not be labeled due to an error.

          • Unlabeled (integer) --

            The total number of objects not yet labeled.

        • WorkteamArn (string) --

          The Amazon Resource Name (ARN) of the work team assigned to the job.

        • PreHumanTaskLambdaArn (string) --

          The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

        • AnnotationConsolidationLambdaArn (string) --

          The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

        • FailureReason (string) --

          If the LabelingJobStatus field is Failed , this field contains a description of the error.

        • LabelingJobOutput (dict) --

          The location of the output produced by the labeling job.

          • OutputDatasetS3Uri (string) --

            The Amazon S3 bucket location of the manifest file for labeled data.

          • FinalActiveLearningModelArn (string) --

            The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.

        • InputConfig (dict) --

          Input configuration for the labeling job.

          • DataSource (dict) --

            The location of the input data.

            • S3DataSource (dict) --

              The Amazon S3 location of the input data objects.

              • ManifestS3Uri (string) --

                The Amazon S3 location of the manifest file that describes the input data objects.

                The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source . The value of the keys are interpreted as follows:

                • source-ref : The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
                • source : The source of the object is the value. Use this value when the object is a text value.

                If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

            • SnsDataSource (dict) --

              An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

              • SnsTopicArn (string) --

                The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

          • DataAttributes (dict) --

            Attributes of the data specified by the customer.

            • ContentClassifiers (list) --

              Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

              • (string) --
    • NextToken (string) --

      If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.