File size: 2,230 Bytes
9cc4798 94d2a61 9cc4798 |
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 |
# 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 datasets
import json
class DebugConfig(datasets.BuilderConfig):
"""BuilderConfig for Winoground."""
def __init__(self, **kwargs):
"""BuilderConfig for Winoground.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(DebugConfig, self).__init__(**kwargs)
class Debug(datasets.GeneratorBasedBuilder):
BUILDER_CONFIG_CLASS = DebugConfig
BUILDER_CONFIGS = [
DebugConfig(
name="default",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"cue": 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"
)
downloaded_files = dl_manager.download_and_extract({
"examples": "winogavil_dataset.csv",
})
return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=downloaded_files)]
def _generate_examples(self, examples):
"""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 |