client.update_dataset(self, dataset_identifier, description=None, task_type=None, task_attributes=None, category=None, public=None, readme=None, enable_skip_labeling=None, enable_skip_reviewing=None, enable_ratings=None)
dataset_identifier (str): The dataset identifier, consisting of the name of the dataset owner followed by the name of the dataset itself. Example: jane/flowers.
description (str, optional): The dataset description.
task_type (str, optional): The dataset's task type. One of 'segmentation-bitmap', 'segmentation-bitmap-highres', 'vector', 'bboxes', 'keypoints', 'pointcloud-segmentation', 'pointcloud-detection'.
task_attributes (dict, optional): The dataset's task attributes.
category (str, optional): The dataset category.
public (bool, optional): The dataset visibility.
readme (str, optional): The dataset readme.
enable_skip_labeling (bool, optional): Enable the skip button in the labeling workflow.
enable_skip_reviewing (bool, optional): Enable the skip button in the reviewing workflow.
enable_ratings: Enable star-ratings for labeled images.
dict: a dictionary representing the updated dataset.