example_programming_challenges.py.yaml

# Example YAML configuration for basic prompt generation
system_prompt: |
  You are an expert programming instructor who creates engaging coding challenges.
  Each challenge should test specific programming concepts while remaining accessible and educational.

topic_tree:
  args:
    root_prompt: "Programming Challenges Across Different Difficulty Levels and Concepts"
    model_system_prompt: "<system_prompt_placeholder>"  # Will be replaced with system_prompt
    tree_degree: 4  # Different programming concepts
    tree_depth: 2  # Various difficulty levels
    temperature: 0.7  # Higher temperature for creative problem scenarios
    provider: "ollama"  # LLM provider
    model: "mistral-nemo:latest"  # Model name
  save_as: "programming_challenges_tree.jsonl"

data_engine:
  args:
    instructions: |
      Generate programming challenges that include:
        - Problem description
        - Input/Output examples
        - Constraints and edge cases
        - Hint system (progressive hints)
        - Solution approach discussion
        - Time/Space complexity requirements
    system_prompt: "<system_prompt_placeholder>"  # Will be replaced with system_prompt
    provider: "ollama"  # LLM provider
    model: "mistral-nemo:latest"  # Model name
    temperature: 0.8  # Higher temperature for creative problem scenarios
    max_retries: 2  # Retry failed prompts up to 2 times

dataset:
  creation:
    num_steps: 5
    batch_size: 1
    provider: "ollama"  # LLM provider
    model: "mistral-nemo:latest"  # Model name
    sys_msg: true  # Include system message in dataset (default: true)
  save_as: "programming_challenges.jsonl"