Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Size:
10K - 100K
License:
File size: 775 Bytes
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from datasets import (
load_dataset,
disable_caching,
get_dataset_split_names,
get_dataset_config_names,
)
from transformers import AutoTokenizer
disable_caching()
SCRIPT = "./imdb_dutch.py"
def test_get_split_names():
splits = get_dataset_split_names(SCRIPT, "plain_text")
assert splits == ["train", "test", "unsupervised"]
def test_get_config_names():
configs = get_dataset_config_names(SCRIPT)
assert configs == ["plain_text"]
def test_streaming_dataset():
datasets = load_dataset(SCRIPT, streaming=True)
train_ds = datasets["train"]
i = iter(train_ds)
e = next(i)
val_ds = datasets["test"]
i = iter(val_ds)
e = next(i)
unsup_ds = datasets["unsupervised"]
i = iter(unsup_ds)
e = next(i)
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