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dataset-converter.py
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58 lines (50 loc) · 2.57 KB
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# Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import json
def parse_args():
parser = argparse.ArgumentParser(description="Convert dataset format")
parser.add_argument(
"-i", "--input_file", required=True, help="Input JSONL file path"
)
parser.add_argument(
"-o", "--output_file", required=True, help="Output JSONL file path"
)
return parser.parse_args()
def convert_dataset(input_file, output_file):
with open(input_file, "r", encoding="utf-8") as infile, open(
output_file, "w", encoding="utf-8"
) as outfile:
for line in infile:
data = json.loads(line) # Load each JSONL line as a dict
if "turns" in data and isinstance(data["turns"], list):
for turn in data["turns"]: # Iterate over "turns" list
json.dump({"text": turn}, outfile)
outfile.write("\n") # Newline for JSONL format
print(f"Converted dataset {input_file} and saved to {output_file}")
if __name__ == "__main__":
args = parse_args()
convert_dataset(args.input_file, args.output_file)