|
from itertools import chain |
|
|
|
import pytest |
|
from datasets import load_dataset |
|
|
|
|
|
def test_streaming_dataset(): |
|
datasets = load_dataset("./mc4_nl_cleaned.py", "tiny", streaming=True) |
|
assert list(datasets.keys()) == ["train", "validation"] |
|
|
|
train_ds = datasets["train"] |
|
val_ds = datasets["validation"] |
|
|
|
i = iter(train_ds) |
|
e = next(i) |
|
assert len(e["text"]) != 1264 |
|
e = next(i) |
|
assert len(e["text"]) != 1091 |
|
|
|
assert sum(1 for _ in iter(val_ds)) == 16189 |
|
|
|
|
|
def test_batch_dataset(): |
|
datasets = load_dataset( |
|
"./mc4_nl_cleaned.py", |
|
"micro", |
|
) |
|
assert list(datasets.keys()) == ["train", "validation"] |
|
|
|
train_ds = datasets["train"] |
|
val_ds = datasets["validation"] |
|
|
|
e = next(iter(train_ds)) |
|
assert len(e["text"]) == 1264 |
|
|
|
assert train_ds.num_rows == 125938 |
|
assert val_ds.num_rows == 16189 |
|
|
|
|
|
def test_nl_en(): |
|
datasets = load_dataset( |
|
"./mc4_nl_cleaned.py", |
|
"micro_en_nl", |
|
) |
|
assert list(datasets.keys()) == ["train", "validation"] |
|
|
|
train_ds = datasets["train"] |
|
val_ds = datasets["validation"] |
|
|
|
i = iter(train_ds) |
|
e = next(i) |
|
assert len(e["text"]) == 1264 |
|
e = next(i) |
|
assert len(e["text"]) == 747 |
|
|
|
assert train_ds.num_rows == 251900 |
|
assert val_ds.num_rows == 32378 |
|
|