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import os
import datasets
from huggingface_hub import HfFileSystem
from typing import List
logger = datasets.logging.get_logger(name=__name__)
fs = HfFileSystem()
_CITATION = """
"""
_DESCRIPTION = """
This dataset contain file about datetime date.
It's created with purpose is practice loading dataset from hugging face hub.
"""
_HOMEPAGE = """
"""
_REPO = "datasets/nguyenminh4099/date-data"
_BRANCH = "main"
_REPO_BRANCH = f"{_REPO}@{_BRANCH}"
_REPO_URL = f"https://huggingface.co/{_REPO_PATH}/resolve/{_BRANCH}"
_URL = os.path.join(_REPO_URL, "data", "{filename}.zip")
_CONFIGS = ['all']
_CONFIGS.extend(
os.path.basename(file)[:-4]
for file in fs.listdir(_REPO_BRANCH + "data", detail=False)
if file.endswith('.zip')
)
class DateDataConfig(datasets.BuilderConfig):
def __init__(
self,
name: str,
**kwargs,
):
super(DateDataConfig, self).__init__(
name=name,
version=datasets.Version("1.0.0"),
description=_DESCRIPTION,
)
class DateDate(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [DateDataConfig(name=name) for name in _CONFIGS]
DEFAULT_CONFIG_NAME = 'all'
def info(self) -> datasets.DatasetInfo:
features = datasets.Features({
"id": datasets.Value('string'),
"dow": datasets.Value('string'),
"month": datasets.Value('string'),
"dom": datasets.Value('string'),
"hour": datasets.Value('int'),
"min": datasets.Value('int'),
"second": datasets.Value('int'),
"timezone": datasets.Value('string'),
"year": datasets.Value('int'),
"file_path": datasets.Value('string'),
})
return datasets.DatasetInfo(
features=features,
description=_DESCRIPTION,
citation=_CITATION,
homepage=_HOMEPAGE,
)
def _split_generators(
self,
dl_manager: datasets.DownloadManager,
) -> List[datasets.SplitGenerator]:
config_names = _CONFIGS[1:] if self.config.name == 'all' else [self.config.name]
data_dirs = dl_manager.download_and_extract(
[_URL.format(filename=zipfile) for zipfile in config_names]
)
return datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_dirs": data_dirs,
}
)
def _generate_examples(
self,
data_dirs: List[str],
) -> dict:
for data_dir in data_dirs:
print(data_dir)
yield self._extract_datetime("Wed Oct 16 11:08:00 +07 2024").update((('id','123'),('file_path',"null")))
def _read_txt(
self,
file_name: str,
) -> str:
with open(file=file_name, mode='r') as f:
return self._extract_datetime(f.read())
def _extract_datetime(
self,
datetime_string: str,
) -> dict:
datetime_string = datetime_string.strip("./ ")
components = datetime_string.split(' ')
return {
"dow": components[0],
"month": components[1],
"dom": components[2],
"hour": components[3],
"min": components[4],
"second": components[5],
"timezone": components[6],
"year": components[7],
}
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