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.