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import os
import datasets
logger = datasets.logging.get_logger(__name__)
ID_POOL = ("default", "origin")
URL = "https://huggingface.co/datasets/thewall/Aptani2Param/resolve/main"
class Aptani2ParamConfig(datasets.BuilderConfig):
pass
class Aptani2Param(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
Aptani2ParamConfig(name=key) for key in ID_POOL
]
DEFAULT_CONFIG_NAME = "default"
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features(
{
"config": datasets.Value("string"),
"existed": datasets.Value("bool"),
"file_num": datasets.Value("int32"),
}
),
homepage="http://aptani.unimore.it/",
)
def _split_generators(self, dl_manager):
aptani2_url = f"{URL}/{self.config.name}.tar.gz"
downloaded_files = [os.path.join(f"{dl_manager.download_and_extract(aptani2_url)}", self.config.name)]
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
]
def _generate_examples(self, filepath):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
flag = True
for file in filepath:
flag = flag and os.path.exists(file)
file_num = len(os.listdir(filepath[0]))
yield 0, {"config": filepath[0],
"existed": flag,
"file_num": file_num,
}
if __name__=="__main__":
from datasets import load_dataset
dataset = load_dataset("aptani2param.py", split="all")
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