| 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() |
|
|
