gcp_aiplatform_dataset

ancestors

Type: UNORDERED_LIST_STRING

create_time

Type: TIMESTAMP
Provider name: createTime
Description: Output only. Timestamp when this Dataset was created.

data_item_count

Type: INT64
Provider name: dataItemCount
Description: Output only. The number of DataItems in this Dataset. Only apply for non-structured Dataset.

description

Type: STRING
Provider name: description
Description: The description of the Dataset.

encryption_spec

Type: STRUCT
Provider name: encryptionSpec
Description: Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

• kms_key_name
  Type: STRING
  Provider name: kmsKeyName
  Description: Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
  

etag

Type: STRING
Provider name: etag
Description: Used to perform consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

gcp_display_name

Type: STRING
Provider name: displayName
Description: Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

labels

Type: UNORDERED_LIST_STRING

metadata_artifact

Type: STRING
Provider name: metadataArtifact
Description: Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

metadata_schema_uri

Type: STRING
Provider name: metadataSchemaUri
Description: Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

model_reference

Type: STRING
Provider name: modelReference
Description: Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

name

Type: STRING
Provider name: name
Description: Output only. Identifier. The resource name of the Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

organization_id

Type: STRING

parent

Type: STRING

project_id

Type: STRING

project_number

Type: STRING

resource_name

Type: STRING

satisfies_pzi

Type: BOOLEAN
Provider name: satisfiesPzi
Description: Output only. Reserved for future use.

satisfies_pzs

Type: BOOLEAN
Provider name: satisfiesPzs
Description: Output only. Reserved for future use.

saved_queries

Type: UNORDERED_LIST_STRUCT
Provider name: savedQueries
Description: All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

• annotation_filter
  Type: STRING
  Provider name: annotationFilter
  Description: Output only. Filters on the Annotations in the dataset.
  
• annotation_spec_count
  Type: INT32
  Provider name: annotationSpecCount
  Description: Output only. Number of AnnotationSpecs in the context of the SavedQuery.
  
• create_time
  Type: TIMESTAMP
  Provider name: createTime
  Description: Output only. Timestamp when this SavedQuery was created.
  
• etag
  Type: STRING
  Provider name: etag
  Description: Used to perform a consistent read-modify-write update. If not set, a blind “overwrite” update happens.
  
• gcp_display_name
  Type: STRING
  Provider name: displayName
  Description: Required. The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
  
• name
  Type: STRING
  Provider name: name
  Description: Output only. Resource name of the SavedQuery.
  
• problem_type
  Type: STRING
  Provider name: problemType
  Description: Required. Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
  
• support_automl_training
  Type: BOOLEAN
  Provider name: supportAutomlTraining
  Description: Output only. If the Annotations belonging to the SavedQuery can be used for AutoML training.
  
• update_time
  Type: TIMESTAMP
  Provider name: updateTime
  Description: Output only. Timestamp when SavedQuery was last updated.
  

tags

Type: UNORDERED_LIST_STRING

update_time

Type: TIMESTAMP
Provider name: updateTime
Description: Output only. Timestamp when this Dataset was last updated.