test / test.py
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Update test.py
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import os
import datasets
import urllib.request
import csv
_CITATION = """\
@InProceedings{huggingface:dataset,
title = {diffusion train set},
}
"""
_DESCRIPTION = """\
This is a dataset that image data and caption txt
"""
_HOMEPAGE = ""
_LICENSE = ""
_VERSION = "0.0.1"
_URL = "data/"
_URLS = {
"train": _URL + 'train1_dataset.csv',
"reg": _URL + 'reg1_dataset.csv',
}
task_list = [
"train",
"reg",
]
class taskConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super().__init__(version=datasets.Version("1.0.0"), **kwargs)
class imgdataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
taskConfig(
name=task_name,
)
for task_name in task_list
]
def _info(self):
features = datasets.Features(
{
"folder_name" : datasets.Value("string"),
"Class_name": datasets.Value("string"),
"file_name": datasets.Value("string"),
"file_id": datasets.Value("string")
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
version=_VERSION,
citation=_CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager):
downloaded_files = dl_manager.download_and_extract(_URLS)
task_name = self.config.name
return [
datasets.SplitGenerator(datasets.Split.TRAIN, {
"filepath": downloaded_files[task_name]
}),
]
def _generate_examples(self, filepath):
"""This function returns the examples in the raw (text) form."""
with open(filepath, encoding="utf-8") as f:
data = csv.DictReader(f)
key = 0
for row in data:
yield key, {
"folder_name" : row['folder_name'],
"Class_name": row['Class_name'],
"file_name": row['file_name'],
"file_id": row['file_id']
}
folder_name = row['folder_name']
class_name =row['Class_name']
file_name = row['file_name']
url =row['file_id']
path = os.path.join('./',folder_name,class_name,file_name)
folder = os.path.join('./',folder_name,class_name)
if not os.path.isdir(folder): #ํด๋”๊ฐ€ ์กด์žฌํ•˜์ง€ ์•Š๋Š”๋‹ค๋ฉด ํด๋” ์ƒ์„ฑ
os.makedirs(folder)
urllib.request.urlretrieve(url, path)
key += 1