Remove LaTeX comment lines-Platform For AI(PAI)-阿里云帮助中心

The LLM-LaTeX Remove Comments component is used for text data preprocessing in large language model (LLM) workflows. It operates on documents in TEX format to remove comment lines and inline comments from LaTeX text.

Supported computing resources

MaxCompute

Algorithm

The component uses the following regular expressions to identify and remove comments in LaTeX text:

Type	Regular expression
Comment line	`r'(?m)^%.*\n?'`
Inline comment	`r'[^\\]%.+$'`

The component finds all strings that match these regular expressions and replaces them with an empty string. The following example shows this process:

Before

%%
%% This is file `sample-sigconf.tex',
%% The first command in your LaTeX source must be the \documentclass command.
\documentclass[sigconf,review,anonymous]{acmart}

%% NOTE that a single column version is required for
%% submission and peer review. This can be done by changing
\input{math_commands.tex}
%% end of the preamble, start of the body of the document source.
\begin{document}

%% The "title" command has an optional parameter,
%% allowing the author to define a "short title" to be used in page headers.
\title{Hierarchical Cross Contrastive Learning of Visual Representations}
\author{Hesen Chen}

After

\documentclass[sigconf,review,anonymous]{acmart}
\input{math_commands.tex}
\begin{document}
\title{Hierarchical Cross Contrastive Learning of Visual Representations}
\author{Hesen Chen}

Configure the component

Add the LLM-LaTeX Remove Comments component to your Designer workflow and configure its parameters in the pane on the right.

Parameter group	Parameter	Description
Field settings	Select target column	Select one or more columns to process.
	Remove all comment lines	Removes all comment lines when selected.
	Remove all inline comments	Removes all inline comments when selected.
	Set output table lifecycle	Specifies the number of days before the temporary output table is deleted. This value must be a positive integer. The default is 28.
Performance tuning	Number of CPUs per instance	The number of CPUs for each map task instance. Value range: 50–800. Default value: 100.
	Memory size per instance (MB)	The memory size for each map task instance, in MB. Value range: 256–12288. Default value: 1024.
	Data size per instance (MB)	The maximum amount of data in MB that each map task instance can process. Value range: 1 to Integer.MAX_VALUE. Default value: 256. You can use this parameter to control the input volume for each map task.