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preprocess.py
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preprocess.py
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"""
Preprocess script.
"""
import os
import argparse
from plato.args import parse_args
from plato.data.dataset import Dataset
from plato.data.field import BPETextField
def main():
parser = argparse.ArgumentParser()
BPETextField.add_cmdline_argument(parser)
Dataset.add_cmdline_argument(parser)
args = parse_args(parser)
raw_train_file = os.path.join(args.data_dir, "dial.train")
raw_valid_file = os.path.join(args.data_dir, "dial.valid")
raw_test_file = os.path.join(args.data_dir, "dial.test")
train_file = raw_train_file + f".{args.tokenizer_type}.jsonl"
valid_file = raw_valid_file + f".{args.tokenizer_type}.jsonl"
test_file = raw_test_file + f".{args.tokenizer_type}.jsonl"
bpe = BPETextField(args.BPETextField)
BUILD_EXAMPLES_FN = {
"multi": bpe.build_examples_multi_turn,
"multi_knowledge": bpe.build_examples_multi_turn_with_knowledge
}
build_examples_fn = BUILD_EXAMPLES_FN[args.data_type]
if os.path.exists(raw_valid_file) and not os.path.exists(valid_file):
valid_examples = build_examples_fn(raw_valid_file, data_type="valid")
bpe.save_examples(valid_examples, valid_file)
if os.path.exists(raw_test_file) and not os.path.exists(test_file):
test_examples = build_examples_fn(raw_test_file, data_type="test")
bpe.save_examples(test_examples, test_file)
if os.path.exists(raw_train_file) and not os.path.exists(train_file):
train_examples = build_examples_fn(raw_train_file, data_type="train")
bpe.save_examples(train_examples, train_file)
return
if __name__ == "__main__":
main()