peacock-data-public-datasets-idc-mint
/
docker
/intel_code
/llama13b
/Megatron-DeepSpeed
/tools
/openwebtext
/add_id.py
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. | |
import argparse | |
import json | |
import os | |
import time | |
""" | |
This code adds id to each json object in a json file. User can add prefix | |
to the ids. | |
""" | |
if __name__ == '__main__': | |
print('parsing the arguments ...') | |
parser = argparse.ArgumentParser() | |
parser.add_argument('--input-file', type=str, default=None, help='Input'\ | |
' json file where id needs to be added') | |
parser.add_argument('--output-file', type=str, default=None, help=\ | |
'Output file name with id') | |
parser.add_argument('--id-prefix', type=str, default=None, help=\ | |
'Id prefix') | |
parser.add_argument('--log-interval', type=int, default=100, | |
help='Log interval') | |
args = parser.parse_args() | |
print('Adding ids to dataset ...') | |
f_input = open(args.input_file, 'r', encoding='utf-8') | |
f_output = open(args.output_file, 'wb') | |
unique_ids = 1 | |
start_time = time.time() | |
for row in f_input: | |
each_row = json.loads(row) | |
adlr_id_string = args.id_prefix + '-{:010d}'.format(int(unique_ids)) | |
each_row['adlr_id'] = adlr_id_string | |
myjson = json.dumps(each_row, ensure_ascii=False) | |
f_output.write(myjson.encode('utf-8')) | |
f_output.write('\n'.encode('utf-8')) | |
if unique_ids % args.log_interval == 0: | |
print(' processed {:9d} documents in {:.2f} seconds ...'.format( \ | |
unique_ids, time.time() - start_time), flush=True) | |
unique_ids += 1 | |
# Close the file. | |
f_input.close() | |
f_output.close() | |
print('done :-)', flush=True) | |