Download SCHEMA.json from ClaasBeger/P-ARC: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ClaasBeger/P-ARC/resolve/main/SCHEMA.json
- Command line
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hf download hf://datasets/ClaasBeger/P-ARC/SCHEMA.json
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curl -L -o SCHEMA.json https://huggingface.co/datasets/ClaasBeger/P-ARC/resolve/main/SCHEMA.json
2.44 kB
| { | |
| "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." | |
| } | |
| ] | |
| } | |