test_dataloader.py

from datasets import load_dataset
from tqdm import tqdm
import time

import sentencepiece as spm

s = spm.SentencePieceProcessor(model_file="tokenizer.model") # Llama tokenizer

def main():
    for subset in ["algebraic-stack", "arxiv", "open-web-math",]:
        for split in ["train", "validation", "test"]:
            data = load_dataset("proof-pile-2.py", subset)[split]
            print(data)

            num_toks = 0
            start = time.time()
            for x in tqdm(data):
                num_toks += len(s.encode(x['text']))
            total = time.time() - start

            print(f"Traversed {num_toks:.5e} of {subset}-{split} in {total} seconds")

if __name__=="__main__":
    main()