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perplexity_filter

Official

Automate text perplexity filtering to enhance text quality.

Data & Analytics#perplexity#text quality#text filtering#language modeling#text preprocessing
Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of filtering out text samples with high perplexity, ensuring that only high-quality, natural-sounding text remains.

Core Features & Use Cases

  • Perplexity Filtering: Removes text samples with perplexity scores above a specified threshold.
  • Use Case: Ideal for text preprocessing in applications where high-quality, coherent text is essential, such as language modeling or chatbot training.

Quick Start

Run the perplexity_filter skill to filter out samples with perplexity scores above 1000 from your text data.

Dependency Matrix

Required Modules

py-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: perplexity_filter
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#perplexity-filter

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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