{
  "name": "P-ARC",
  "primary_file": "p_arc_dataset.csv",
  "parquet_file": "p_arc_dataset.parquet",
  "encoding": "utf-8",
  "format": "csv",
  "quoting": "QUOTE_NONNUMERIC",
  "notes": [
    "Cells can exceed Python's default csv.field_size_limit (~128 KiB); call csv.field_size_limit(sys.maxsize) before reading the CSV.",
    "tasks/<task_id>.json holds each task's train and test pairs in the standard ARC JSON format."
  ],
  "columns": [
    {
      "name": "task_id",
      "type": "string",
      "description": "Task id, t1 through t50."
    },
    {
      "name": "task_name",
      "type": "string",
      "description": "Short descriptive name of the task, e.g. corner_to_center."
    },
    {
      "name": "rule",
      "type": "string",
      "description": "Natural-language statement of the task's intended rule, reviewed by the authors."
    },
    {
      "name": "rule_source",
      "type": "string",
      "description": "How the rule was written: human_reviewed (redrafted from the task's transform and reviewed), human_annotated (written from scratch), or draft (the original hand-written rule, kept after review)."
    },
    {
      "name": "train_demonstrations_json",
      "type": "json_string",
      "description": "Compact JSON array of training pairs {input, output}; grids are lists of lists of integers 0-9."
    },
    {
      "name": "test_input_json",
      "type": "json_string",
      "description": "Compact JSON grid for the held-out test input."
    },
    {
      "name": "test_output_json",
      "type": "json_string",
      "description": "Compact JSON grid for the held-out test output."
    },
    {
      "name": "stable_instances_50_json",
      "type": "json_string",
      "description": "Compact JSON object {\"train\": [...]} with 50 fixed generator-produced {input, output} pairs."
    },
    {
      "name": "human_corruptions_json",
      "type": "json_string",
      "description": "Compact JSON array of 3 {input, output} pairs with incorrect outputs, made by people: erroneous attempts from the feasibility check or errors designed by the task's creator."
    },
    {
      "name": "generator_py",
      "type": "string",
      "description": "Python source of the task's generator."
    },
    {
      "name": "verifier_py",
      "type": "string",
      "description": "Python source of the task's verifier, which maps an input grid to the correct output grid."
    }
  ]
}