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# coding=utf-8
# Copyright 2022 the HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import pandas as pd
import datasets
import json
class Dataset(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="TEST", version=VERSION, description="test"),
]
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features(
{
"split": datasets.Value("string"),
}
),
task_templates=[],
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
hf_auth_token = dl_manager.download_config.use_auth_token
if hf_auth_token is None:
raise ConnectionError(
"Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset"
)
repo_id = 'yonatanbitton/mscoco_2014_5k_test_image_text_retrieval'
data_dir = dl_manager.download_and_extract({
"examples_csv": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename="test_1k_flickr.csv"),
"images_dir": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename="images_flickr_1k_test.zip")
})
return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
def _generate_examples(self, examples_csv):
"""Yields examples."""
df = pd.read_csv(examples)
print("HERE!?")
raise Exception("E")
for r_idx, r in df.iterrows():
r_dict = r.to_dict()
yield r_idx, r_dict |