kuhperdata / data /_raw /STARD /src /tokenize_passages.py
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from argparse import ArgumentParser
from transformers import AutoTokenizer
import os
from tqdm import tqdm
from multiprocessing import Pool
from dense.processor import SimpleCollectionProcessor
parser = ArgumentParser()
parser.add_argument('--tokenizer_name', required=True)
parser.add_argument('--truncate', type=int, default=128)
parser.add_argument('--file', required=True)
parser.add_argument('--save_to', required=True)
parser.add_argument('--n_splits', type=int, default=10)
args = parser.parse_args()
tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_name, use_fast=True)
processor = SimpleCollectionProcessor(tokenizer=tokenizer, max_length=args.truncate)
with open(args.file, 'r') as f:
lines = f.readlines()
n_lines = len(lines)
if n_lines % args.n_splits == 0:
split_size = int(n_lines / args.n_splits)
else:
split_size = int(n_lines / args.n_splits) + 1
os.makedirs(args.save_to, exist_ok=True)
with Pool() as p:
for i in range(args.n_splits):
with open(os.path.join(args.save_to, f'split{i:02d}.json'), 'w') as f:
pbar = tqdm(lines[i*split_size: (i+1)*split_size])
pbar.set_description(f'split - {i:02d}')
for jitem in p.imap(processor.process_line, pbar, chunksize=500):
f.write(jitem + '\n')