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Copy file name to clipboardExpand all lines: docs/dyn/admin_directory_v1.chromeosdevices.html
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
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"extendedSupportEligible": True or False, # Output only. Whether or not the device requires the extended support opt in.
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"extendedSupportEnabled": True or False, # Output only. Whether extended support policy is enabled on the device.
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"extendedSupportStart": "A String", # Output only. Date of the device when extended support policy for automatic updates starts.
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"fanInfo": [ # Output only. Fan information for the device.
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{ # Information about the device's fan.
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"speedRpm": 42, # Output only. Fan speed in RPM.
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},
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],
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"firmwareVersion": "A String", # The Chrome device's firmware version.
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"firstEnrollmentTime": "A String", # Date and time for the first time the device was enrolled.
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"kind": "admin#directory#chromeosdevice", # The type of resource. For the Chromeosdevices resource, the value is `admin#directory#chromeosdevice`.
<pclass="firstline">Restores a dataset version.</p>
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Output only. Additional information about the DatasetVersion.
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"modelReference": "A String", # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
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}
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Output only. Additional information about the DatasetVersion.
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"modelReference": "A String", # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
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}</pre>
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Output only. Additional information about the DatasetVersion.
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"modelReference": "A String", # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
name: string, Output only. The resource name of the DatasetVersion. (required)
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body: object, The request body.
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The object takes the form of:
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{ # Describes the dataset version.
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"bigQueryDatasetName": "A String", # Output only. Name of the associated BigQuery dataset.
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"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Output only. Additional information about the DatasetVersion.
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"modelReference": "A String", # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
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}
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updateMask: string, Required. The update mask applies to the resource. For the `FieldMask` definition, see google.protobuf.FieldMask. Updatable fields: * `display_name`
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x__xgafv: string, V1 error format.
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Allowed values
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1 - v1 error format
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2 - v2 error format
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Returns:
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An object of the form:
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{ # Describes the dataset version.
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"bigQueryDatasetName": "A String", # Output only. Name of the associated BigQuery dataset.
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"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
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"displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
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"etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
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"metadata": "", # Required. Output only. Additional information about the DatasetVersion.
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"modelReference": "A String", # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
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"name": "A String", # Output only. The resource name of the DatasetVersion.
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"updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
Copy file name to clipboardExpand all lines: docs/dyn/aiplatform_v1.projects.locations.datasets.html
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"metadata": "", # Required. Additional information about the Dataset.
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"metadataArtifact": "A String", # 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}`.
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"metadataSchemaUri": "A String", # 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/.
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"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
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"name": "A String", # Output only. The resource name of the Dataset.
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"savedQueries": [ # 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.
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{ # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
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"metadata": "", # Required. Additional information about the Dataset.
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"metadataArtifact": "A String", # 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}`.
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"metadataSchemaUri": "A String", # 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/.
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"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
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"name": "A String", # Output only. The resource name of the Dataset.
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"savedQueries": [ # 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.
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{ # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
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"metadata": "", # Required. Additional information about the Dataset.
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"metadataArtifact": "A String", # 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}`.
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"metadataSchemaUri": "A String", # 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/.
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"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
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"name": "A String", # Output only. The resource name of the Dataset.
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"savedQueries": [ # 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.
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{ # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
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"metadata": "", # Required. Additional information about the Dataset.
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"metadataArtifact": "A String", # 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}`.
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"metadataSchemaUri": "A String", # 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/.
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"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
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"name": "A String", # Output only. The resource name of the Dataset.
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"savedQueries": [ # 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.
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{ # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
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"metadata": "", # Required. Additional information about the Dataset.
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"metadataArtifact": "A String", # 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}`.
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"metadataSchemaUri": "A String", # 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/.
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"modelReference": "A String", # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
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"name": "A String", # Output only. The resource name of the Dataset.
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"savedQueries": [ # 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.
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{ # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
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