LLM spans without RAG

run_steps:
  - data_generation
  - training

pipeline_provider: "local"
metric_name: "custom"

data_generation:
  metric:
    name: "Instruction Adherence"
    type: "binary"
    input_format: "tuple"
    llmaj_source_prompt: "Check if the response is consistent with the instructions."
  source_data:
    dataset:
      source_type: "huggingface"
      huggingface:
        name: "instruction_adherence_dataset"
  output:
    dataset:
      repo_name: "instruction-adherence-training"

training:
  dataset:
    name: "instruction-adherence-training"
  prompt_template: |
    Check if the response is consistent with the instructions.

    Input: {input}
    Response: {output}

    Respond with "true" or "false".
  output:
    model_name: "instruction-adherence-model"