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import os
import datasets
_DESCRIPTION = """\
UTS_WTK_v1
"""
_CITATION = """\
"""
_BASE_URL = "https://huggingface.co/datasets/undertheseanlp/UTS_WTK_v1/raw/main/data/"
TRAIN_FILE = "train.txt"
class UTS_WTK_v1(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"tokens": datasets.Value("string"),
"tags": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
train_file = dl_manager.download(os.path.join(_BASE_URL, TRAIN_FILE))
# dev_file = dl_manager.download(os.path.join(DATA_PATH, "dev.txt"))
# test_file = dl_manager.download(os.path.join(DATA_PATH, "test.txt"))
data_files = {
"train": train_file,
# "dev": dev_file,
# "test": test_file,
}
splits = [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}
),
# datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}),
# datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}),
]
return splits
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
guid = 0
for line in f:
text = line.strip()
yield guid, {"text": text}
guid += 1
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