clean_copyright_mapper
OfficialEfficiently remove copyright comments from text samples.
Content & Communication#data preprocessing#text cleaning#copyright removal#text sample processing#cleaning tool
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need to remove copyright comments from the beginning of text samples, providing users with a quick and efficient way to clean up text data.
Core Features & Use Cases
- Remove Copyright Comments: Eliminate text sample beginning with copyright comments, whether they are multiline or single-line.
- Use Case: Ideal for situations where users need to process text samples that contain unwanted copyright headers, such as during content review or document preparation.
Quick Start
Use the clean_copyright_mapper skill to clean up the copyright comments from the text file 'input_samples.txt'.
Dependency Matrix
Required Modules
data_juicer
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: clean_copyright_mapper Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#clean-copyright-mapper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.