context_relevance/lora/granite-3.3-8b-instruct/io.yaml

# Model name string, or null to use whatever is provided in the chat completion request
model: ~
# JSON schema of the model's output
response_format:  |
  {
    "title": "ContextRelevanceOutput",
    "type": "object",
    "properties": {
      "context_relevance": {
        "type": "string",
        "description": "Context relevancy judgment.",
        "enum": ["relevant", "irrelevant", "partially relevant"]
      }
    },
    "required": ["context_relevance"]
  }
# Additional turn of instructions to add to the chat
instruction: |
  DOCUMENT: {document_content}
# Data transformations to perform during post-processing
transformations:
  - type: likelihood
    categories_to_values:
      "relevant": 1.0
      "irrelevant": 0.0
      "partially relevant": 0.5
    input_path: ["context_relevance"]
parameters: ~
sentence_boundaries: ~