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Platform For AI:LLM-Text Normalizer (DLC)

Last Updated:Nov 14, 2024

You can use the LLM-Text Normalizer (DLC) component of Platform for AI (PAI) to perform operations such as Unicode text normalization or language conversion from traditional to simplified Chinese. The input Object Storage Service (OSS) data file must be in the JSON Lines format and meet the following requirements: Each line in the file is a valid JSON object and the file consists of multiple lines of JSON objects, but the file is not a valid JSON object. For more information, see Example.

Supported computing resources

Deep Learning Containers (DLC)

Algorithm description

The LLM-Text Normalizer (DLC) component supports the following features:

  • Unicode text normalization by using the Normalization Form Compatibility Composition (NFKC) method.

    ftfy.fix_text(text, normalization='NFKC')

  • Language conversion from traditional to simplified Chinese by using the opencc package.

Examples:

Before processing

image

After processing

image

Configure the component

On the pipeline page of Machine Learning Designer, configure the parameters of the LLM-Text Normalizer (DLC) component.

Tab

Parameter

Required

Description

Default value

Fields Setting

Target Process Field

Yes

The name of the field that you want to process.

N/A

Whether to normalize Unicode text (NFKC form)

No

Specifies whether to normalize the Unicode text by using the NFKC method.

Selected

Whether to convert traditional to simplified chinese

No

Specifies whether to convert traditional to simplified Chinese

Selected

OSS Directory for Saving OutputData

No

The OSS directory in which the generated data is stored. If you do not specify this parameter, the default path of the workspace is used.

N/A

Tuning

Number of Processes

No

The number of processes.

8

Select Resource Group

Public Resource Group

No

The instance type (CPU or GPU), number of instances, and virtual private cloud (VPC) that you want to use.

N/A

Dedicated resource group

No

The number of vCPUs, memory, shared memory, number of GPUs, and number of instances that you want to use.

N/A

Maximum Running Duration

No

The maximum period of time for which the component can run. If this period of time is exceeded, the job is terminated.

N/A