Class HumanAnnotationConfig (1.3.0)

Version 1.3.0

• 1.10.3 (latest)
• 1.10.2
• 1.9.0
• 1.8.3
• 1.7.0
• 1.6.3
• 1.5.2
• 1.4.0
• 1.3.0
• 1.2.4
• 1.1.0
• 1.0.0
• 0.4.2
• 0.3.0
• 0.2.1

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

Configuration for how human labeling task should be done.

Attributes
Name	Description
instruction	str Required. Instruction resource name.
annotated_dataset_display_name	str Required. A human-readable name for AnnotatedDataset defined by users. Maximum of 64 characters .
annotated_dataset_description	str Optional. A human-readable description for AnnotatedDataset. The description can be up to 10000 characters long.
label_group	str Optional. A human-readable label used to logically group labeling tasks. This string must match the regular expression [a-zA-Z\\d_-]{0,128}.
language_code	str Optional. The Language of this question, as a BCP-47 __. Default value is en-US. Only need to set this when task is language related. For example, French text classification.
replica_count	int Optional. Replication of questions. Each question will be sent to up to this number of contributors to label. Aggregated answers will be returned. Default is set to 1. For image related labeling, valid values are 1, 3, 5.
question_duration	google.protobuf.duration_pb2.Duration Optional. Maximum duration for contributors to answer a question. Maximum is 3600 seconds. Default is 3600 seconds.
contributor_emails	Sequence[str] Optional. If you want your own labeling contributors to manage and work on this labeling request, you can set these contributors here. We will give them access to the question types in crowdcompute. Note that these emails must be registered in crowdcompute worker UI: https://crowd-compute.appspot.com/
user_email_address	str Email of the user who started the labeling task and should be notified by email. If empty no notification will be sent.