Datasets:

LHF
/

escorpius

	# 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