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Platform For AI:LLM-Special Character Ratio Filter (MaxCompute)

Last Updated:May 31, 2024

The LLM-Special Characters Ratio Filter (MaxCompute) component is used to filter text samples based on the ratio of special characters in the text. You can use the component during text preprocessing of large language models (LLMs).

Limits

The LLM-Special Characters Ratio Filter (MaxCompute) component supports only MaxCompute resources.

Algorithm

The algorithm traverses each character in the text and calculates the ratio of the number of special characters to the length of the text.

The special characters include the following types: punctuation (string.punctuation), digits (string.digits), spaces (string.whitespace), emojis, and other special characters.

Configure the component

You can configure the parameters of the LLM-Special Characters Ratio Filter (MaxCompute) component in Machine Learning Designer. The following table describes the parameters.

Tab

Parameter

Required

Description

Default value

Fields Setting

Select Target Column

Yes

The columns that you want to process. You can select multiple columns.

No default value

Minimum Ratio

No

If the ratio of the number of special characters to the length of the text is smaller than this value, the text is filtered out.

0

Maximum Ratio

Yes

If the ratio of the number of special characters to the length of the text is greater than this value, the text is filtered out.

No default value

Output table lifecycle

No

The value is a positive integer. Unit: days. Default value: 28. After the default lifecycle of the table elapses, the temporary tables generated by the component are recycled.

28

Tuning

Number of CPUs per instance of map task

No

The number of CPUs for each instance of a map task. Valid values: 50 to 800.

100

The memory size per instance of map task

No

The memory size of each instance of a map task. Unit: MB. Valid values: 256 to 12288.

1024

The maximum size of input data for a map

No

The maximum amount of data that each instance of a map task can process. You can use this parameter to manage the input of a map. Unit: MB. Valid values: 1 to Integer.MAX_VALUE.

256

References

For more information about Machine Learning Designer, see Overview of Machine Learning Designer.