Class Dataset (2.1.0)

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

NameDescription
translation_dataset_metadata .translation.TranslationDatasetMetadata
Metadata for a dataset used for translation.
image_classification_dataset_metadata .image.ImageClassificationDatasetMetadata
Metadata for a dataset used for image classification.
text_classification_dataset_metadata .text.TextClassificationDatasetMetadata
Metadata for a dataset used for text classification.
image_object_detection_dataset_metadata .image.ImageObjectDetectionDatasetMetadata
Metadata for a dataset used for image object detection.
text_extraction_dataset_metadata .text.TextExtractionDatasetMetadata
Metadata for a dataset used for text extraction.
text_sentiment_dataset_metadata .text.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 .timestamp.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[.dataset.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
NameDescription
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.