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meta_tags_aggregator

Aggregate similar metadata tags into unified categories from JSON files.

541|171|Updated May 3, 2018
Search Tags:#LLM#data organization#json processing#metadata aggregation#tag classification
One-click install
npx skills add https://github.com/cas-bigdatalab/piflow --skill meta-tags-aggregator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta_tags_aggregator
Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/meta_tags_aggregator
Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill meta-tags-aggregator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires data_juicer, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of aggregating and classifying similar metadata tags, saving time and reducing manual effort in data organization.

Core Features & Use Cases

  • Meta Tag Aggregation: Automatically merge similar tags into a unified category.
  • Input/Output Management: Specify input and output JSON file paths for processing.
  • API Model and Meta Tag Key Configuration: Define the API model and key for metadata tag extraction.
  • Target Tags Customization: Optionally specify target tags for classification.
  • Use Case: For example, this Skill can be used to aggregate sentiment tags from user reviews into broader categories such as 'Positive' and 'Negative'.

Quick Start

Run the meta_tags_aggregator skill with the input file path 'input.json', output file path 'output.json', API model 'qwen2.5-72b-instruct', and meta tag key 'query_sentiment_label'.

Frequently Asked Questions about meta_tags_aggregator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate similar metadata tags in a JSON file?▼

To aggregate similar metadata tags in a JSON file, you can run this Skill by specifying your input JSON path, output JSON path, API model, and the specific meta tag key to process.

Can I automatically classify JSON metadata tags using an LLM?▼

Yes, you can automatically classify JSON metadata tags using an LLM. The Skill supports automatic target tag generation by the LLM or allows you to define custom target tags for classification.

What is the best way to merge sentiment tags from user reviews into broader categories?▼

The best way to merge sentiment tags from user reviews into broader categories like 'Positive' and 'Negative' is to use this Skill with your specified API model and meta tag key.

Do I need a specific API model to process metadata tag classification?▼

Yes, you need to define a specific API model, such as 'qwen2.5-72b-instruct', to extract and process metadata tag classification from your input JSON file.

Does data_juicer work with meta tag aggregation for JSON processing?▼

Yes, data_juicer works with meta tag aggregation as a required dependency. It facilitates the underlying JSON processing and metadata aggregation operations within the workflow.

Why is my metadata tag aggregation not grouping similar tags correctly?▼

Metadata tag aggregation may fail to group similar tags correctly if the input JSON file path, API model, or the specified meta tag key are not properly configured in the execution parameters.

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