Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
no-annotation
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)") | |