Introduction to Data Management

ModelArts provides both new and old versions of datasets. This section describes the dataset and data management functions of the old version.

Datasets of the old version are to be taken offline. You are advised to use datasets of the new version and related functions.

The new version decouples dataset creation and labeling task creation. Datasets and labeling tasks are separately created.

For the old version, you need to create a labeling task when creating a dataset.

In ModelArts, you can import and label data on the Data Management page to prepare for model building. ModelArts uses datasets as the basis for model development or training.

Dataset Types

ModelArts supports datasets of images, audio, text, tables, videos, and other types for the following purposes:

Images
- Image classification: identifies a class of objects in images.
- Object detection: identifies the position and class of each object in an image.
- Image segmentation: identifies the outline of each object in an image.
Audio
- Sound classification: classifies and identifies different sounds.
- Speech labeling: labels speech content.
- Speech paragraph labeling: segments and labels speech content.
Text
- Text classification: assigns labels to text according to its content.
- Named entity recognition: assigns labels to named entities in text, such as time and locations.
- Text triplet: assigns labels to entity segments and entity relationships in the text.
Tables
- Table: applies to structured data processing such as tables. The file format can be CSV. Tables cannot be labeled but you can preview up to 100 data records in a table.
Videos
- Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.
Others
- Free format: manages data in any format. Labeling is not available for data of the free format type. The free format type applies to scenarios where labeling is not required or developers customize labeling. Select this format if your data is in multiple formats or your data is not in any of the preceding formats.
  Figure 1 Example of a dataset in free format

Size Limit

A video, text, or audio dataset can have a maximum size of 5 GB.
For an image dataset for object detection, image classification, or image segmentation, a single image can have a maximum size of 25 MB.
A manifest file can have a maximum size of 5 GB.
The maximum size of a line in a text file is 100 KB.
A data labeling result file can have a maximum size of 100 MB.

Dataset Management Process and Functions

Figure 2 Labeling management process

**Table 1** Function description
Function	Description
Creating a Dataset (Old Version)	Create a dataset.
Image Classification Object Detection Text Classification Named Entity Recognition Text Triplet Sound Classification Speech Labeling Speech Paragraph Labeling Video Labeling	Label data based on the types of datasets. Data labeling is not supported for datasets in free format or table format.
Import Operation	Import data to the dataset.
Exporting Data	Export part of the data as a new dataset or to OBS. Historical tasks can be viewed and managed.
Modifying a Dataset	Modify the basic information about a dataset, such as the dataset name, description, and labels.
Publishing a Dataset	Publish the labeled dataset as a new version for model building.
Managing Dataset Versions	View data version updates.
Auto Labeling	quickly label unlabeled data, reducing labeling time by 70%
Auto Grouping	Enable auto grouping to improve data labeling efficiency.
Data Features	Analyze data features to help you understand data.
Introduction to Team Labeling	Allow multiple users to label the same dataset and enable the dataset creator to manage labeling tasks in a unified manner. Add a team and its members to participate in labeling datasets.
Deleting a Dataset	Delete a dataset to release resources.

Functions Supported by Different Types of Datasets

Different types of datasets provide different functions. For details, see Table 2.

**Table 2** Functions supported by different types of datasets
Dataset Type	Creating a Dataset	Importing Data	Exporting Data	Publishing a Dataset	Modifying a Dataset	Managing Dataset Versions	Auto Labeling	Team Labeling	Auto Grouping	Data Features	Deploying a Model in One Click
Image classification	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported
Object detection	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported	Supported
Image segmentation	Supported	Supported	Supported	Supported	Supported	Supported	N/A	N/A	Supported	N/A	N/A
Sound classification	Supported	Supported	N/A	Supported	Supported	Supported	N/A	N/A	N/A	N/A	N/A
Speech labeling	Supported	Supported	N/A	Supported	Supported	Supported	N/A	N/A	N/A	N/A	N/A
Speech paragraph labeling	Supported	Supported	N/A	Supported	Supported	Supported	N/A	Supported	N/A	N/A	N/A
Text classification	Supported	Supported	N/A	Supported	Supported	Supported	N/A	Supported	N/A	N/A	N/A
Named entity recognition	Supported	Supported	N/A	Supported	Supported	Supported	N/A	Supported	N/A	N/A	N/A
Text triplet	Supported	Supported	N/A	Supported	Supported	Supported	N/A	Supported	N/A	N/A	N/A
Table	Supported	Supported	N/A	Supported	Supported	Supported	N/A	N/A	N/A	N/A	N/A
Video	Supported	Supported	N/A	Supported	Supported	Supported	N/A	N/A	N/A	N/A	N/A
Free format	Supported	N/A	Supported	Supported	Supported	Supported	N/A	N/A	N/A	N/A	N/A