File size: 2,512 Bytes
d5e9978 fc6628c 70f032b d5e9978 e192c17 d5e9978 70f032b d5e9978 e192c17 d5e9978 70f032b d5e9978 70f032b cba3474 70f032b cba3474 70f032b d5e9978 70f032b 0d16286 1fed1dd 70f032b 69d9116 cec99f6 7041c81 cec99f6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
import os
import datasets
_DESCRIPTION = """\
UTSText
"""
_CITATION = """\
"""
_BASE_URL = "https://huggingface.co/datasets/undertheseanlp/UTS_Text/resolve/main/data/"
TRAIN_FILE = "train.txt"
VALIDATION_FILE = "validation.txt"
TEST_FILE = "test.txt"
class UTSTextConfig(datasets.BuilderConfig):
"""BuilderConfig"""
def __init__(self, **kwargs):
super(UTSTextConfig, self).__init__(**kwargs)
class UTSText(datasets.GeneratorBasedBuilder):
"""UTS Word Tokenize datasets"""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
UTSTextConfig(
name="small", version=VERSION, description="UTS_Text Small"),
UTSTextConfig(
name="base", version=VERSION, description="UTS_Text Base"),
UTSTextConfig(
name="large", version=VERSION, description="UTS_Text Large")
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=None,
citation=_CITATION
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
subset_folder = self.config.name
train_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, TRAIN_FILE))
validation_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, VALIDATION_FILE))
test_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, TEST_FILE))
splits = [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": train_file}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={"filepath": validation_file}
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": test_file}
),
]
return splits
def _generate_examples(self, filepath):
print(filepath)
guid = 0
with open(filepath, encoding="utf-8") as f:
for line in f:
print(line)
if line.strip() != "":
item = {
"text": line.strip()
}
yield guid, item
guid += 1
|