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# coding=utf-8
# Copyright 2022 esCorpius authors
# The code required to produce and load this dataset is licensed under MIT License.
# The code samples included in this dataset keep their own licenses, which can be retrieved via their metadata.
# 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.
# Please note that the dataset release is still work in progress.
"""The esCorpius dataset."""
import json
import datasets
from pathlib import Path
_CITATION = """\
@misc{TODO
}
"""
_DESCRIPTION = """\
Spanish dataset
""" # TODO: expand
_HOMEPAGE = "https://huggingface.co/datasets/LHF/escorpius"
_LICENSE = "CC BY-NC-ND 4.0"
_URL = ""
_FEATURES = datasets.Features(
{
"id": datasets.Value("string"),
"text": datasets.Value("string"),
"url_warc": datasets.Value("string"),
"url": datasets.Value("string")
}
)
class EsCorpiusConfig(datasets.BuilderConfig):
"""BuilderConfig for esCorpius."""
def __init__(self, *args, **kwargs):
"""BuilderConfig for The Pile.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(
*args,
**kwargs,
)
class EsCorpius(datasets.GeneratorBasedBuilder):
"""The esCorpius dataset."""
BUILDER_CONFIGS = [
EsCorpiusConfig(
name="esCorpius",
version=datasets.Version("1.0.1"),
description="Spanish dataset"
),
]
def _info(self):
"""Give information and typings for the dataset."""
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# This defines the different columns of the dataset and their types
features=_FEATURES,
# If there's a common (input, target) tuple from the features,
# specify them here. They'll be used if as_supervised=True in
# builder.as_dataset.
supervised_keys=None,
# Homepage of the dataset for documentation
homepage=_HOMEPAGE,
# License for the dataset if available
license=_LICENSE,
# Citation for the dataset
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
urls_to_download = [
'es_corpus.jsonl.aa',
'es_corpus.jsonl.ab',
'es_corpus.jsonl.ac',
'es_corpus.jsonl.ad',
'es_corpus.jsonl.ae',
'es_corpus.jsonl.af',
'es_corpus.jsonl.ag',
'es_corpus.jsonl.ah',
'es_corpus.jsonl.ai',
'es_corpus.jsonl.aj',
'es_corpus.jsonl.ak',
'es_corpus.jsonl.al',
'es_corpus.jsonl.am',
'es_corpus.jsonl.an',
'es_corpus.jsonl.ao',
'es_corpus.jsonl.ap',
'es_corpus.jsonl.aq',
'es_corpus.jsonl.ar',
'es_corpus.jsonl.as',
'es_corpus.jsonl.at',
'es_corpus.jsonl.au',
'es_corpus.jsonl.av',
'es_corpus.jsonl.aw',
'es_corpus.jsonl.ax',
'es_corpus.jsonl.ay',
'es_corpus.jsonl.az',
'es_corpus.jsonl.ba',
'es_corpus.jsonl.bb',
'es_corpus.jsonl.bc',
'es_corpus.jsonl.bd',
'es_corpus.jsonl.be',
'es_corpus.jsonl.bf',
'es_corpus.jsonl.bg'
]
# urls_to_download = [urls_to_download[-1]] # testing
downloaded_files = dl_manager.download_and_extract(urls_to_download)
return [
datasets.SplitGenerator(name='train',
gen_kwargs={"files": downloaded_files}),
]
def _generate_examples(self, files):
"""Yield examples as (key, example) tuples."""
key = 0
for path in files:
with open(path, "r", encoding="utf-8") as f:
for row in f:
data = json.loads(row)
yield key, data
key += 1
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