calibrate_query_mapper

Name: calibrate_query_mapper
Availability: InStock
Author: cas-bigdatalab

Refine Q&A query questions against reference text using data_juicer.

541|171|Updated May 3, 2018

Search Tags:#LLM integration #query refinement #language style #Q&A pairs #reference text

Ready to run

npx skills add https://github.com/cas-bigdatalab/piflow --skill calibrate-query-mapper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: calibrate_query_mapper
Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/calibrate_query_mapper
Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill calibrate-query-mapper

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of refining questions in Q&A pairs by aligning them with the language style of reference text, ensuring accuracy and consistency.

Core Features & Use Cases

Query Refinement: Enhances the clarity and detail of questions based on provided reference text.
LLM Integration: Leverages Large Language Models for advanced question calibration.
Use Case: Ideal for scenarios where questions need to be recalibrated to match the context or style of existing reference material, such as legal briefs or technical documentation.

Quick Start

Run the calibrate_query_mapper skill with the input file 'questions.json' and output to 'calibrated_questions.json' using the model 'qwen2.5-72b-instruct'.

Frequently Asked Questions about calibrate_query_mapper

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

FAQPage Schema

How do I refine queries in Q&A pairs to match a reference text?▼

Refine queries in Q&A pairs by aligning them with reference text using LLM integration to ensure questions are detailed, accurate, and match the source material's language style.

Does calibrate_query_mapper require data_juicer for processing Q&A pairs?▼

Yes, calibrate_query_mapper requires data_juicer for executing the processing and calibration operations needed to align Q&A queries with reference material.

How do I calibrate questions against technical documentation using an LLM?▼

Calibrate questions against technical documentation by running the skill with an input JSON file and a specified LLM model like qwen2.5-72b-instruct, outputting calibrated queries.

What is the best way to align question language style with legal briefs?▼

Align question language style with legal briefs by leveraging LLM integration to recalibrate existing Q&A pairs, ensuring questions match the context and style of reference material.

Can I use this skill to recalibrate questions for administrative documentation tasks?▼

Yes, you can use this skill to recalibrate questions for administrative and technical documentation tasks that require precise question calibration against existing reference material.