otcextensions.sdk.modelartsv2.v2.dataset

The ModelArts Dataset Class

The Config class inherits from Resource.

class otcextensions.sdk.modelartsv2.v2.dataset.Dataset(_synchronized=False, connection=None, **attrs)

The base resource

Parameters:

• _synchronized (bool) – This is not intended to be used directly. See new() and existing().

• connection (openstack.connection.Connection) – Reference to the Connection being used. Defaults to None to allow Resource objects to be used without an active Connection, such as in unit tests. Use of self._connection in Resource code should protect itself with a check for None.

base_path: str = '/datasets'

The base part of the URI for this resource.

resources_key: ty.Optional[str] = 'datasets'

Plural form of key for resource.

allow_create = True

Allow create operation for this resource.

allow_list = True

Allow list operation for this resource.

allow_delete = True

Allow delete operation for this resource.

allow_fetch = True

Allow get operation for this resource.

allow_commit = True

Allow update operation for this resource.

ai_project

AI Project

annotated_sample_count

Number of labeled samples in a dataset.

annotated_sub_sample_count

Number of labeled subsamples.

content_labeling

Whether to enable content labeling for the speech paragraph labeling dataset.

create_time

Time when a dataset is created.

current_version_id

Current version ID of a dataset.

current_version_name

Current version name of a dataset.

data_format

Data format.

data_sources

Data source list.

data_statistics

Sample statistics on a dataset, including the statistics on sample metadata.

data_update_time

Time when a sample and a label are updated.

dataset_format

Dataset format.

dataset_id

Dataset ID.

dataset_name

Dataset name.

dataset_tags

Key identifier list of a dataset, for example, [“Image”,”Object detection”].

dataset_type

Dataset type.

dataset_version

Dataset version.

dataset_version_count

Number of dataset versions.

deleted_sample_count

Number of deleted samples.

deletion_stats

Deletion reason statistics.

description

Dataset description.

enterprise_project_id

Enterprise project ID.

exist_running_task

Whether the dataset contains running (including initialization) tasks.

exist_workforce_task

Whether the dataset contains team labeling tasks.

feature_supports

List of features supported by the dataset.

import_annotations

Whether to automatically import the labeling information in the input directory, supporting detection, image classification, and text classification.

import_data

Whether to import data.

import_task_id

ID of an import task.

inner_annotation_path

Path for storing the labeling result of a dataset.

inner_data_path

Path for storing the internal data of a dataset.

inner_log_path

Path for storing internal logs of a dataset.

inner_task_path

Path for internal task of a dataset.

inner_temp_path

Path for storing internal temporary files of a dataset.

inner_work_path

Output directory of a dataset.

label_format

Label format information.

label_task_count

Number of labeling tasks.

labels

Dataset label list.

loading_sample_count

Number of loading samples.

managed

Whether a dataset is hosted.

name: ty.Union[Body, URI]

Dataset name.

next_version_num

Number of next versions of a dataset.

running_tasks_id

ID list of running (including initialization) tasks.

schema

Schema list.

status

Dataset status.

third_path

Third-party path.

total_sample_count

Total number of dataset samples.

total_sub_sample_count

Total number of subsamples generated from the parent samples.

unconfirmed_sample_count

Number of auto labeling samples to be confirmed.

update_time

Time when a dataset is updated.

versions

Dataset version information.

work_path

Output dataset path, which is used to store output files such as label files.

work_path_type

Type of the dataset output path.

workforce_descriptor

Team labeling information.

workforce_task_count

Number of team labeling tasks of a dataset.

workspace_id

Workspace ID.

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