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[Delete] Delete girls-group.py

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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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-
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- import csv
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- import json
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- import os
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-
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- import datasets
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-
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-
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- # Find for instance the citation on arxiv or on the dataset repo/website
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- _CITATION = """\
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- @InProceedings{huggingface:dataset,
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- title = {K-pop girls groups dataset},
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- author={smwoo, Inc.
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- },
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- year={2023}
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- }
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- """
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-
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- _BASE_URL = "https://drive.google.com/u/0/uc?id=16_GUeJcC88LrB8zJni0-XdjdL14WXOVW&export=download"
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-
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- _METADATA_URLS = {
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- "train": "https://drive.google.com/u/0/uc?id=1mPwH_p1-QQtY0xsFjLIzQLkAXDNyB8sO&export=download",
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- "test": "https://drive.google.com/u/0/uc?id=1mPwH_p1-QQtY0xsFjLIzQLkAXDNyB8sO&export=download"
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- }
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-
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- # You can copy an official description
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- _DESCRIPTION = """\
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- This new dataset is designed to learn how to make custom dataset.
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- """
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-
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- _HOMEPAGE = "https://cislab.cau.ac.kr/"
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-
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- _LICENSE = ""
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-
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- _IMAGES_DIR = "data/"
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-
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- class GirlsGroupsConfig(datasets.BuilderConfig):
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- """BuilderConfig for GirlsGroups dataset."""
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-
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- def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
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- super(GirlsGroupsConfig, self).__init__(version=datasets.Version("1.1.0"), **kwargs)
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- self.features = features
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- self.label_classes = label_classes
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- self.data_url = data_url
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- self.citation = citation
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- self.url = url
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-
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-
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- class GirlsGroups(datasets.GeneratorBasedBuilder):
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- """GirlsGroups Images dataset."""
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "image": datasets.Image(),
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- "annotation": datasets.Value(dtype='string'),
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- }
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- ),
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- homepage=_HOMEPAGE,
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- citation=_CITATION,
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- license=_LICENSE,
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- )
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-
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- def _split_generators(self, dl_manager):
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- # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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- archive_path = dl_manager.download(_BASE_URL)
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- split_metadata_paths = dl_manager.download(_METADATA_URLS)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={
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- "images": dl_manager.iter_archive(archive_path),
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- "metadata_path": split_metadata_paths["train"],
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.VALIDATION,
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- gen_kwargs={
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- "images": dl_manager.iter_archive(archive_path),
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- "metadata_path": split_metadata_paths["test"],
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, images, metadata_path):
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- """Generate images and labels for splits."""
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- save_list = {}
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- with open(metadata_path, newline='') as csvfile:
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- spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
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- for row in spamreader:
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- save_list[row[0]] = row[1]
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- for file_path, file_obj in images:
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- yield file_path, {
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- "image": {"path": file_path, "bytes": file_obj.read()},
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- "annotation" : save_list[file_path]
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- }