Summary Data

The model receives the prompt (and optional system message). The run uses scorer contains_any with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Summarize in 2 short bullet points:
Data quality depends on validation, clear ownership, and regular monitoring of pipelines.

{
  "expected_contains": [
    "validation",
    "ownership",
    "monitoring"
  ]
}