Creating a Dataset Version

Create a new version for a dataset.

dataset.create_version(name=None, version_format=None, label_task_type=None, label_task_id=None, **kwargs)

Sample Code

Example 1: Create a new version for a dataset.

from modelarts.session import Session
from modelarts.dataset import Dataset
session = Session()

dataset = Dataset(session, dataset_id)
create_version_resp = dataset.create_version(name="V001", version_format="Default", label_task_type=0, description="version 001")

Example 2: Create a dataset based on a labeling task.

from modelarts.session import Session
from modelarts.dataset import Dataset
session = Session()

dataset = Dataset(session, dataset_id)
create_version_resp = dataset.create_version(label_task_id="IbAhFai5KXWC3gthUfz", description="dataset version from label task")

Parameters

**Table 1** Request parameters
Parameter	Mandatory	Type	Description
name	No	String	Version name that consists of 1 to 32 characters.
version_format	No	String	Format of a dataset version. The options are as follows: Default
label_task_type	No	Integer	Labeling type of a dataset version. The options are as follows: 0: image classification 1: object detection 3: image segmentation 100: text classification 101: named entity recognition 102: text triplet 200: sound classification 201: speech content 202: speech paragraph labeling 400: table dataset 600: video labeling 900: custom format
label_task_id	No	String	ID of a labeling task based on which a dataset version is created.
description	No	String	Version description consisting of 0 to 256 characters without special characters (!<>=&"'). The parameter is left blank by default.