| |
| |
| """Rebuild the published Udgam Logic Puzzles files exactly (needs pyarrow for Parquet). |
| |
| python make_release.py OUT_DIR |
| |
| The test split is made first (100 puzzles per family); the train split (up to 6,000 per family) never repeats a test |
| question. Same seeds, same files. |
| """ |
| import json |
| import os |
| import sys |
|
|
| import pyarrow as pa |
| import pyarrow.parquet as pq |
|
|
| import logic_puzzles as lp |
|
|
| TEST_SEED, TRAIN_SEED = "udgam-logic-puzzles-v1/test", "udgam-logic-puzzles-v1/train" |
| TEST_PER_FAMILY, TRAIN_PER_FAMILY = 100, 6000 |
| COLUMNS = ["id", "family", "question", "answer", "answer_type"] |
|
|
|
|
| def write(rows, path): |
| table = pa.Table.from_pylist(rows).select(COLUMNS) |
| pq.write_table(table, path, compression="zstd") |
|
|
|
|
| def main(out): |
| os.makedirs(os.path.join(out, "data"), exist_ok=True) |
| log = lambda m: print(m, flush=True) |
| test = list(lp.generate(TEST_SEED, TEST_PER_FAMILY, log=log)) |
| train = list(lp.generate(TRAIN_SEED, TRAIN_PER_FAMILY, exclude={r["question"] for r in test}, log=log)) |
| write(test, os.path.join(out, "data", "test.parquet")) |
| write(train, os.path.join(out, "data", "train.parquet")) |
| counts = {s: {f: sum(r["family"] == f for r in rows) for f in lp.FAMILIES} for s, rows in (("train", train), ("test", test))} |
| json.dump(dict(train=len(train), test=len(test), per_family=counts), open(os.path.join(out, "counts.json"), "w"), indent=1) |
| print(f"train {len(train)}, test {len(test)}") |
|
|
|
|
| if __name__ == "__main__": |
| main(sys.argv[1]) |
|
|
