Dataset is the resource to hold your data. You can request
multiple labeling tasks for a dataset while each one will
generate an AnnotatedDataset.
Attributes
Name
Description
name
str
Output only. Dataset resource name, format is:
projects/{project_id}/datasets/{dataset_id}
display_name
str
Required. The display name of the dataset.
Maximum of 64 characters.
description
str
Optional. User-provided description of the
annotation specification set. The description
can be up to 10000 characters long.
create_time
google.protobuf.timestamp_pb2.Timestamp
Output only. Time the dataset is created.
input_configs
MutableSequence[google.cloud.datalabeling_v1beta1.types.InputConfig]
Output only. This is populated with the
original input configs where ImportData is
called. It is available only after the clients
import data to this dataset.
blocking_resources
MutableSequence[str]
Output only. The names of any related
resources that are blocking changes to the
dataset.
data_item_count
int
Output only. The number of data items in the
dataset.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Class Dataset (1.13.2)\n\nVersion latestkeyboard_arrow_down\n\n- [1.13.2 (latest)](/python/docs/reference/datalabeling/latest/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.13.1](/python/docs/reference/datalabeling/1.13.1/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.12.0](/python/docs/reference/datalabeling/1.12.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.11.1](/python/docs/reference/datalabeling/1.11.1/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.10.5](/python/docs/reference/datalabeling/1.10.5/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.9.0](/python/docs/reference/datalabeling/1.9.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.8.3](/python/docs/reference/datalabeling/1.8.3/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.7.0](/python/docs/reference/datalabeling/1.7.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.6.3](/python/docs/reference/datalabeling/1.6.3/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.5.2](/python/docs/reference/datalabeling/1.5.2/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.4.0](/python/docs/reference/datalabeling/1.4.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.3.0](/python/docs/reference/datalabeling/1.3.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.2.4](/python/docs/reference/datalabeling/1.2.4/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.1.0](/python/docs/reference/datalabeling/1.1.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [1.0.0](/python/docs/reference/datalabeling/1.0.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [0.4.2](/python/docs/reference/datalabeling/0.4.2/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [0.3.0](/python/docs/reference/datalabeling/0.3.0/google.cloud.datalabeling_v1beta1.types.Dataset)\n- [0.2.1](/python/docs/reference/datalabeling/0.2.1/google.cloud.datalabeling_v1beta1.types.Dataset) \n\n Dataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nDataset is the resource to hold your data. You can request\nmultiple labeling tasks for a dataset while each one will\ngenerate an AnnotatedDataset."]]