Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
English
Size:
100K - 1M
License:
from datasets import load_dataset | |
from itertools import islice | |
import sys | |
import time | |
from tqdm import tqdm | |
dataset = load_dataset("./proof-pile.py", "default") | |
size = dataset["train"].dataset_size / 2**30 | |
print(f"{size} GB TRAIN TOTAL") | |
print(dataset) | |
for x in tqdm(dataset["train"]): | |
print("EXAMPLE INSTANCE (trimmed):") | |
print(x["text"][:100]) | |
break | |
then = time.time() | |
for x in tqdm(dataset["train"]): | |
pass | |
now = time.time() | |
print(f"{size} GB TRAIN TOTAL") | |
print(f"TRAVERSED IN {now-then} SECONDS") | |
size += dataset["validation"].dataset_size/2**30 + dataset["test"].dataset_size/2**30 | |
print(f"{size} GB TOTAL (TRAIN, VAL, TEST)") | |