{
  "name": "p_arc_potarcin_tabular",
  "primary_file": "p_arc_dataset.csv",
  "encoding": "utf-8",
  "format": "csv",
  "quoting": "QUOTE_NONNUMERIC",
  "notes": [
    "Cells may exceed Python's default csv.field_size_limit (~128 KiB); use csv.field_size_limit(sys.maxsize).",
    "Train/test grids match Test2/t<n>.json; stable_instances_50_json is json.loads(t<n>_samples_50.json) re-serialized as compact JSON (same data as on disk, no decorative whitespace).",
    "generator_py and verifier_py match Test2/<subdir>/generator.py and verifier.py verbatim."
  ],
  "columns": [
    {
      "name": "task_id",
      "type": "string",
      "description": "Task id from t1 through t50."
    },
    {
      "name": "train_demonstrations_json",
      "type": "json_string",
      "description": "Compact JSON array of training pairs {input, output}; grids are List[List[int]]."
    },
    {
      "name": "test_input_json",
      "type": "json_string",
      "description": "Compact JSON grid for test[0].input."
    },
    {
      "name": "test_output_json",
      "type": "json_string",
      "description": "Compact JSON grid for test[0].output (published gold)."
    },
    {
      "name": "stable_instances_50_json",
      "type": "json_string",
      "description": "Compact JSON object parsed from t<n>_samples_50.json (stable sample bundle; minimal separators, no pretty-print)."
    },
    {
      "name": "generator_py",
      "type": "string",
      "description": "UTF-8 Python source for the task generator."
    },
    {
      "name": "verifier_py",
      "type": "string",
      "description": "UTF-8 Python source for the task verifier."
    }
  ]
}