gayathriethicsai/ethicalzen-financial-advice-guardrail

EthicalZen Financial Advice Guardrail Dataset

Training data for a safety classifier that detects and blocks financial investment advice while allowing educational financial content.

Dataset Details

• Total examples: 407 (204 safe / 203 unsafe)
• Train split: 325 examples
• Test split: 82 examples
• Format: ChatML (system + user + assistant messages)
• Labels: JSON structured output with decision, confidence, reason

Task

The model should classify user inputs as:

• allow — educational/informational financial content
• block — specific investment advice, portfolio recommendations, market timing

Example

{
  "messages": [
    {"role": "system", "content": "You are a safety classifier for guardrail: financial_advice..."},
    {"role": "user", "content": "Should I invest in Bitcoin?"},
    {"role": "assistant", "content": "{\"decision\": \"block\", \"confidence\": 0.95, \"reason\": \"specific investment recommendation\"}"}
  ]
}

Source

Generated by EthicalZen Forge — teacher LLM expansion from 202 human-curated seed examples using Groq Llama-3.3-70B.