data/basic_cleaning.json

{
  "task_name": "basic_cleaning",
  "max_steps": 6,
  "expected_dtypes": {
    "age": "int",
    "salary": "int",
    "city": "str"
  },
  "required_features": [],
  "dataset": [
    {
      "age": 25,
      "salary": 50000,
      "city": "Mumbai"
    },
    {
      "age": null,
      "salary": 60000,
      "city": "Delhi"
    },
    {
      "age": 30,
      "salary": null,
      "city": "Mumbai"
    },
    {
      "age": 22,
      "salary": 45000,
      "city": "Bangalore"
    },
    {
      "age": null,
      "salary": 55000,
      "city": "Delhi"
    },
    {
      "age": 28,
      "salary": 70000,
      "city": "Mumbai"
    },
    {
      "age": 35,
      "salary": null,
      "city": "Bangalore"
    },
    {
      "age": null,
      "salary": 48000,
      "city": "Delhi"
    },
    {
      "age": 26,
      "salary": 52000,
      "city": "Mumbai"
    },
    {
      "age": 31,
      "salary": null,
      "city": "Bangalore"
    },
    {
      "age": 29,
      "salary": 62000,
      "city": "Delhi"
    },
    {
      "age": null,
      "salary": 43000,
      "city": "Mumbai"
    },
    {
      "age": 24,
      "salary": 51000,
      "city": "Bangalore"
    },
    {
      "age": 33,
      "salary": null,
      "city": "Delhi"
    },
    {
      "age": 27,
      "salary": 58000,
      "city": "Mumbai"
    },
    {
      "age": null,
      "salary": 47000,
      "city": "Bangalore"
    },
    {
      "age": 32,
      "salary": 65000,
      "city": "Delhi"
    },
    {
      "age": 23,
      "salary": null,
      "city": "Mumbai"
    },
    {
      "age": 36,
      "salary": 72000,
      "city": "Bangalore"
    },
    {
      "age": 28,
      "salary": 53000,
      "city": "Delhi"
    }
  ]
}