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Load full English Wikipedia dataset in HuggingFace nlp library
import os; import psutil; import timeit
from datasets import load_dataset
mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
wiki = load_dataset("wikipedia", "20200501.en", split='train')
mem_after = psutil.Process(os.getpid()).memory_info().rss >> 20
print(f"RAM memory used: {(mem_after - mem_before)} MB")
s = """batch_size = 1000
for i in range(0, len(wiki), batch_size):
batch = wiki[i:i + batch_size]
"""
time = timeit.timeit(stmt=s, number=1, globals=globals())
size = wiki.dataset_size / 2**30
print(f"Iterated over the {size:.1f} GB dataset in {time:.1f} s, i.e. {size * 8/time:.1f} Gbit/s")
@thomwolf

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@thomwolf thomwolf commented Jun 15, 2020

Install the requirements for runing this gist with:

pip install datasets psutil

And check the details at https://github.com/huggingface/datasets

@sugatoray

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@sugatoray sugatoray commented Oct 29, 2020

I think the API has changed a little bit. See here: https://github.com/huggingface/datasets#usage.

# For loading datasets
from datasets import list_datasets, load_dataset

# To see all available dataset names
print(list_datasets()) 

# To load a dataset
wiki = load_dataset("wikipedia", "20200501.en", split='train')

For installation:

pip install datasets
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