JussieVR/ai-response-evaluation-revision-sample

AI Response Evaluation & Revision — Public Sample

This repository contains three seller-authored synthetic evaluation cases for testing response quality, instruction following, naturalness, relevance, tone, conciseness, issue severity, preference decisions, and revision guidance. It is a discovery sample only; the complete paid edition is not included.

Intended uses

• —Prototyping LLM evaluator, ranking, and response-revision workflows.
• —Demonstrating a structured preference-case schema.
• —Qualitative evaluation experiments with appropriate human review.

Unsupported uses

• —Treating the records as observed human preferences, production-user behaviour, or benchmark ground truth.
• —Using scores as calibrated measurements across unrelated tasks or models.
• —Making automated high-stakes decisions without qualified human review.

Contents

• —sample.jsonl: exactly three records (ARE_P001, ARE_P003, ARE_P006).
• —schema.json: public field contract.
• —PROVENANCE.md: origin and privacy statement.
• —LICENSE: Creative Commons Attribution 4.0 International notice.

The source prototype contains 10 records. A planned Professional edition may contain more records, but no unreleased records are included or promised here.

• —Public sample version: 0.1.0
• —Source prototype version: 0.1.0
• —Release date: 2026-09-01

Provenance and limitations

The records are seller-authored synthetic prompt/response pairs. They are not captured conversations, customer logs, human preference studies, or production annotations. The three examples deliberately cover constrained rewriting, technical troubleshooting, and structured extraction. Candidate ordering is not randomized in this prototype, the sample is too small for statistical conclusions, and multilingual/native-speaker validation is outside this sample.

Full edition

The current commercial product is available on Vertical Marketplace as “AI Response Evaluation & Naturalness Judgment Patterns — Quality, Tone & Instruction Following.”

Full commercial listing: https://verticalmarketplace.ai/data/listing/68f9d8ac-8fdc-4190-8e3b-4227e104cbf9?utmsource=huggingface&utmmedium=datasetcard&utmcampaign=airesponseevalsamplev0_1

The link opens the exact verified Vertical Marketplace product page. The paid listing contains the complete currently available product rather than this three-record public discovery sample.

Release status

Published on Hugging Face on 2026-09-01 after content-owner approval and independent QA. The public repository contains only the three-record sample and is licensed under CC BY 4.0.