| _key | core | string | |
| active_learning_config | core | json | Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy. |
| ancestors | core | array<string> | |
| create_time | core | timestamp | Output only. Timestamp when this DataLabelingJob was created. |
| current_spend | core | json | Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date. |
| datadog_display_name | core | string | |
| datasets | core | array<string> | Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` |
| encryption_spec | core | json | Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to. |
| error | core | json | Output only. DataLabelingJob errors. It is only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`. |
| gcp_display_name | core | string | Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob. |
| inputs_schema_uri | core | string | Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder. |
| instruction_uri | core | string | Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets. |
| labeler_count | core | int64 | Required. Number of labelers to work on each DataItem. |
| labeling_progress | core | int64 | Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished. |
| labels | core | array<string> | |
| name | core | string | Output only. Resource name of the DataLabelingJob. |
| organization_id | core | string | |
| parent | core | string | |
| project_id | core | string | |
| project_number | core | string | |
| resource_name | core | string | |
| specialist_pools | core | array<string> | The SpecialistPools' resource names associated with this job. |
| state | core | string | Output only. The detailed state of the job. Possible values: ['JOB_STATE_UNSPECIFIED', 'JOB_STATE_QUEUED', 'JOB_STATE_PENDING', 'JOB_STATE_RUNNING', 'JOB_STATE_SUCCEEDED', 'JOB_STATE_FAILED', 'JOB_STATE_CANCELLING', 'JOB_STATE_CANCELLED', 'JOB_STATE_PAUSED', 'JOB_STATE_EXPIRED', 'JOB_STATE_UPDATING', 'JOB_STATE_PARTIALLY_SUCCEEDED']. Values descriptions: ['The job state is unspecified.', 'The job has been just created or resumed and processing has not yet begun.', 'The service is preparing to run the job.', 'The job is in progress.', 'The job completed successfully.', 'The job failed.', 'The job is being cancelled. From this state the job may only go to either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.', 'The job has been cancelled.', 'The job has been stopped, and can be resumed.', 'The job has expired.', 'The job is being updated. Only jobs in the `RUNNING` state can be updated. After updating, the job goes back to the `RUNNING` state.', 'The job is partially succeeded, some results may be missing due to errors.'] |
| tags | core | hstore | |
| update_time | core | timestamp | Output only. Timestamp when this DataLabelingJob was updated most recently. |
