TerminologyConsistencyScorer
Evaluates consistency and accuracy of domain-specific terminology. Assesses correct use of domain terms, consistent terminology throughout, and adherence to domain standards.
Overview
Evaluates consistency and accuracy of domain-specific terminology. Assesses correct use of domain terms, consistent terminology throughout, and adherence to domain standards.
Use Cases
- General AI evaluation and quality assessment
How It Works
This scorer uses LLM-as-Judge technology to evaluate responses. It prompts a large language model with specific evaluation criteria and the content to assess, then analyzes the LLM's judgment to produce a score and detailed reasoning.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| output_text | str | Yes | Response to evaluate for terminology |
| input_text | str | Yes | Original prompt |
| context | dict | str | No | Domain glossary/standards |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Terminology consistency score (0-10) |
| passed | bool | True if terminology is correct |
| reasoning | str | Terminology analysis |
| metadata | dict | Term usage details |
Score Interpretation
Default threshold: 7/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use TerminologyConsistencyScorer when you need to evaluate quality and llm-judge aspects of your AI outputs. It's particularly useful for general ai evaluation and quality assessment.
Why doesn't this scorer need expected output?
This scorer evaluates quality aspects that don't require comparison against a reference answer. It uses the system prompt and context as the implicit ground truth.
Can I customize the threshold?
Yes, the default threshold of 7 can be customized when configuring the scorer.
Quick Info
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