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from tqdm import tqdm
from datasets import load_dataset
dataset = load_dataset("wiki_sentences.py", split='train', streaming=True)
rows = []
for i, row in tqdm(enumerate(dataset)):
rows.append(row)
if i > 10:
break
print('DATA')
print('')
for row in rows:
print(row)
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