A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.
Metadata for a dataset used for translation.
Metadata for a dataset used for text classification.
Metadata for a dataset used for text extraction.
Output only. The resource name of the dataset. Form: project
s/{project_id}/locations/{location_id}/datasets/{dataset_id}
User-provided description of the dataset. The description can be up to 25000 characters long.
Output only. Timestamp when this dataset was created.
Optional. The labels with user-defined metadata to organize your dataset. 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. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.
Classes
LabelsEntry
API documentation for automl_v1.types.Dataset.LabelsEntry class.