File size: 3,521 Bytes
0b74fe6 a9aa99b 0b74fe6 832cb58 0b74fe6 2a57c4e 0b74fe6 |
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 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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 json
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """\
Data for Polish CST task annotated manually
"""
_BASE_URL = "https://huggingface.co/datasets/clarin-knext/cst_directed_datasets/resolve/main/data/"
_DATASET_NAME = [
"wut_pl",
"wut_en",
"podcast_pl",
"podcast_en",
"snli_pl",
"snli_en",
"wnli_pl",
"wnli_en",
]
_URLS = {
f"{dataset}_{lang}": f"{_BASE_URL}{dataset}_cst_directed_{lang}.jsonl"
for dataset, lang in (dataset_name.split('_') for dataset_name in _DATASET_NAME)
}
class CSTDirectedDatasetBuilderConfig(datasets.BuilderConfig):
def __init__(
self,
data_url: str,
name: str,
**kwargs,
):
super(CSTDirectedDatasetBuilderConfig, self).__init__(
name=name,
version=datasets.Version("1.0.0"),
**kwargs,
)
self.name = name
self.data_url = data_url
if self.name not in _DATASET_NAME:
raise ValueError(
f"Config name `{self.name}` is not available. Enter one of: {_DATASET_NAME}"
)
class CSTDirectedDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
CSTDirectedDatasetBuilderConfig(
name=dataset,
data_url=_URLS[dataset],
description=f"Dataset {dataset} with CST annotation including relation direction.",
)
for dataset in _DATASET_NAME
]
DEFAULT_CONFIG_NAME = "podcast_en"
def _info(self) -> datasets.DatasetInfo:
features = {
"id": datasets.Value("int32"),
"sentence_1": datasets.Value("string"),
"sentence_2": datasets.Value("string"),
"cst": datasets.features.Sequence(
dict(
{
"supertype": datasets.Value("string"),
"type": datasets.Value("string"),
"knowledge": datasets.Value("string"),
}
)
),
}
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(features),
supervised_keys=None,
# license=_LICENSE,
# citation=_CITATION,
)
def _split_generators(self, dl_manager):
filepath = dl_manager.download_and_extract(self.config.data_url)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": filepath,
},
),
]
def _generate_examples(self, filepath: str):
key_iter = 0
with open(filepath, encoding="utf-8") as f:
for data in (json.loads(line) for line in f):
yield key_iter, data
key_iter += 1
|