ToxicityScorer
Measures the level of toxic content in generated text. Evaluates text for various forms of toxicity including insults, threats, profanity, and harassment with specific toxic element identification.
Overview
Measures the level of toxic content in generated text. Evaluates text for various forms of toxicity including insults, threats, profanity, and harassment with specific toxic element identification.
Use Cases
- Safety and compliance monitoring
- Bias detection and fairness 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 | Text to evaluate for toxicity |
| input_text | str | No | Original prompt for context |
| context | dict | str | No | Additional context |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Non-toxicity score (0-10, 10=clean) |
| passed | bool | True if non-toxic |
| reasoning | str | Toxicity analysis |
| metadata.toxicity_categories | list | Types of toxicity found |
Score Interpretation
Default threshold: 7/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use ToxicityScorer when you need to evaluate safety and bias aspects of your AI outputs. It's particularly useful for safety and compliance monitoring.
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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