| { |
| "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." |
| } |
| ] |
| } |
|
|
