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597f77b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import argparse
import os
import numpy as np
from datasets import DatasetDict, load_from_disk
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--data_dir", default="./data")
parser.add_argument("--input", default="ling_conversion")
parser.add_argument("--output", default="ling_conversion_random0")
parser.add_argument("--seed", type=int, default=0)
parser.add_argument("--split", default="test")
return parser.parse_args()
def main():
args = parse_args()
base_data = load_from_disk(os.path.join(args.data_dir, args.input))
if args.split not in base_data:
raise ValueError(f"Split {args.split!r} not found in {args.input!r}.")
test_data = base_data[args.split]
rng = np.random.default_rng(args.seed)
shuffled_indices = rng.permutation(len(test_data))
target_columns = [column for column in ["sentence2_lftk+", "sentence2_discr", "sentence2_ling"] if column in test_data.column_names]
def replace_targets(_, idx):
replacement_idx = int(shuffled_indices[idx])
return {column: test_data[replacement_idx][column] for column in target_columns}
shuffled_test = test_data.map(replace_targets, with_indices=True)
DatasetDict({args.split: shuffled_test}).save_to_disk(os.path.join(args.data_dir, args.output))
if __name__ == "__main__":
main()
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