{
  "context": "This evaluation criteria assesses how well the engineer uses Kedro's pipeline construction and composition capabilities to build a data processing pipeline. The focus is on proper usage of Kedro's node and pipeline APIs to create modular, composable workflows with automatic dependency resolution.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Node factory usage",
      "description": "Uses the kedro.pipeline.node() factory function or node() imported from kedro.pipeline to create individual processing nodes with correct function, inputs, and outputs parameters",
      "max_score": 25
    },
    {
      "name": "Pipeline factory usage",
      "description": "Uses the kedro.pipeline.pipeline() factory function or pipeline() imported from kedro.pipeline to create pipeline instances from collections of nodes",
      "max_score": 20
    },
    {
      "name": "Dependency resolution",
      "description": "Correctly specifies inputs and outputs for each node using strings (e.g., 'raw_orders', 'cleaned_orders') to enable automatic dependency resolution between nodes based on dataset names",
      "max_score": 20
    },
    {
      "name": "Pipeline composition",
      "description": "Demonstrates pipeline composition by combining multiple pipeline instances using operators (+ or |) or by passing multiple pipelines to pipeline() factory to create a single unified pipeline",
      "max_score": 20
    },
    {
      "name": "Input/output format",
      "description": "Uses appropriate input/output formats: strings for single datasets, lists for multiple ordered datasets, or dicts for named parameter mapping as per Kedro conventions",
      "max_score": 15
    }
  ]
}