{
  "context": "This criteria evaluates how effectively an engineer uses the deeplake package's dataset management APIs to implement basic dataset lifecycle operations including creation, opening, existence checking, and deletion.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses deeplake.create()",
      "description": "Correctly uses the deeplake.create() function to create new datasets, passing the path parameter appropriately.",
      "max_score": 25
    },
    {
      "name": "Uses deeplake.open()",
      "description": "Correctly uses the deeplake.open() function to open existing datasets for read-write access.",
      "max_score": 25
    },
    {
      "name": "Uses deeplake.exists()",
      "description": "Correctly uses the deeplake.exists() function to check if a dataset exists at a given path, returning boolean values.",
      "max_score": 25
    },
    {
      "name": "Uses deeplake.delete()",
      "description": "Correctly uses the deeplake.delete() function to permanently remove datasets from storage.",
      "max_score": 25
    }
  ]
}