Class Dataset (2.3.0)

Dataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

Attributes

Name	Description
`translation_dataset_metadata`	`google.cloud.automl_v1.types.TranslationDatasetMetadata` Metadata for a dataset used for translation.
`image_classification_dataset_metadata`	`google.cloud.automl_v1.types.ImageClassificationDatasetMetadata` Metadata for a dataset used for image classification.
`text_classification_dataset_metadata`	`google.cloud.automl_v1.types.TextClassificationDatasetMetadata` Metadata for a dataset used for text classification.
`image_object_detection_dataset_metadata`	`google.cloud.automl_v1.types.ImageObjectDetectionDatasetMetadata` Metadata for a dataset used for image object detection.
`text_extraction_dataset_metadata`	`google.cloud.automl_v1.types.TextExtractionDatasetMetadata` Metadata for a dataset used for text extraction.
`text_sentiment_dataset_metadata`	`google.cloud.automl_v1.types.TextSentimentDatasetMetadata` Metadata for a dataset used for text sentiment.
`name`	`str` Output only. The resource name of the dataset. Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
`display_name`	`str` Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.
`description`	`str` User-provided description of the dataset. The description can be up to 25000 characters long.
`example_count`	`int` Output only. The number of examples in the dataset.
`create_time`	`google.protobuf.timestamp_pb2.Timestamp` Output only. Timestamp when this dataset was created.
`etag`	`str` Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
`labels`	`Sequence[google.cloud.automl_v1.types.Dataset.LabelsEntry]` 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

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters

Name	Description
`kwargs`	`dict` Keys and values corresponding to the fields of the message.
`mapping`	`Union[dict, .Message]` A dictionary or message to be used to determine the values for this message.
`ignore_unknown_fields`	`Optional(bool)` If True, do not raise errors for unknown fields. Only applied if `mapping` is a mapping type or there are keyword parameters.