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8a854e6 423f06c d7d87bd d95b791 d7d87bd 487e311 8a854e6 c87347e c8f23b2 c87347e 4e58da6 bf5b05a c87347e 553a8ca 42265f2 17202fc 42265f2 423f06c 42265f2 bf5b05a 487e311 d7d87bd 42265f2 487e311 42265f2 487e311 42265f2 aa5ff82 0f01563 e5a2db9 5e734f6 42265f2 90ae1fc 42265f2 90ae1fc 42265f2 90ae1fc 42265f2 | 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 86 87 88 89 90 91 | 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): #폴더가 존재하지 않는다면 폴더 생성
os.makedirs(folder)
urllib.request.urlretrieve(url, path)
key += 1
|