Struct google_api_proto::google::cloud::aiplatform::v1beta1::Dataset

pub struct Dataset {

    pub name: String,
    pub display_name: String,
    pub description: String,
    pub metadata_schema_uri: String,
    pub metadata: Option<Value>,
    pub data_item_count: i64,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub etag: String,
    pub labels: BTreeMap<String, String>,
    pub saved_queries: Vec<SavedQuery>,
    pub encryption_spec: Option<EncryptionSpec>,
    pub metadata_artifact: String,
    pub model_reference: String,
    pub satisfies_pzs: bool,
    pub satisfies_pzi: bool,
}

A collection of DataItems and Annotations on them.

Fields

name: String

Output only. Identifier. The resource name of the Dataset.

display_name: String

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.

description: String

The description of the Dataset.

metadata_schema_uri: 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/.

metadata: Option<Value>

Required. Additional information about the Dataset.

data_item_count: i64

Output only. The number of DataItems in this Dataset. Only apply for non-structured Dataset.

create_time: Option<Timestamp>

Output only. Timestamp when this Dataset was created.

update_time: Option<Timestamp>

Output only. Timestamp when this Dataset was last updated.

etag: String

Used to perform consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

labels: BTreeMap<String, String>

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with “aiplatform.googleapis.com/” and are immutable. Following system labels exist for each Dataset:

• “aiplatform.googleapis.com/dataset_metadata_schema”: output only, its value is the [metadata_schema’s][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.

saved_queries: Vec<SavedQuery>

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][google.cloud.aiplatform.v1beta1.SavedQuery.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.

encryption_spec: Option<EncryptionSpec>

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.

metadata_artifact: 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}.

model_reference: String

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

satisfies_pzs: bool

Output only. Reserved for future use.

satisfies_pzi: bool

Output only. Reserved for future use.

Trait Implementations

impl Clone for Dataset

fn clone(&self) -> Dataset

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Dataset

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Dataset

fn default() -> Self

Returns the “default value” for a type.

impl Message for Dataset

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for Dataset

fn eq(&self, other: &Dataset) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Dataset