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#!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Processing data for megatron pretraining."""
import argparse
import glob
from nemo.collections.nlp.data.language_modeling.text_memmap_dataset import build_index_files
def main():
parser = argparse.ArgumentParser(description="Builds index files for a list of text files",)
parser.add_argument(
'dataset_paths', type=str, nargs='+', help='Input text files (support glob)',
)
parser.add_argument(
'--newline_int', type=int, default=10, help='Int value to split text (default: newline "\\n"',
)
parser.add_argument(
'--workers',
type=int,
default=None,
help='Number of workers to parse files in parallel (default: max(cpu num // 2, 1)',
)
args = parser.parse_args()
# expand all dataset_paths
dataset_paths = []
for ds in args.dataset_paths:
dataset_paths.extend(glob.glob(ds))
# build index files in parallel
build_index_files(
dataset_paths=dataset_paths, newline_int=args.newline_int, workers=args.workers,
)
if __name__ == '__main__':
main()
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