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# coding=utf-8
# 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.
"""Stanzas"""
import csv
import datasets
_CITATION = """
@InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
}
"""
_DESCRIPTION = """\
Stanzas
"""
_HOMEPAGE = "https://github.com/versae/bibles/"
STANZAS_BASE_URI = "https://huggingface.co/datasets/linhd-postdata/stanzas/resolve/main"
STANZAS = {
"validation": f"{STANZAS_BASE_URI}/eval.csv",
"test": f"{STANZAS_BASE_URI}/test.csv",
"train": f"{STANZAS_BASE_URI}/train.csv"
}
class StanzasConfig(datasets.BuilderConfig):
"""BuilderConfig for NorNE."""
def __init__(self, **kwargs):
"""BuilderConfig for Stanzas.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(StanzasConfig, self).__init__(**kwargs)
class Stanzas(datasets.GeneratorBasedBuilder):
"""Stanzas"""
StanzasConfig(
name="default",version=datasets.Version("1.0.0"), description="Stanzas")
def _info(self):
labels = ['ovillejo', 'romance', 'octava_real', 'couplet', 'octava',
'cuarteta', 'copla_real', 'serventesio', 'haiku', 'cuaderna_vía',
'tercetillo', 'cantar', 'sextilla', 'espinela', 'lira',
'octavilla', 'chamberga', 'endecha_real', 'romance_arte_mayor',
'redondilla', 'septilla', 'silva_arromanzada', 'seguidilla',
'cuarteto_lira', 'cuarteto', 'décima_antigua', 'seguidilla_gitana',
'seguidilla_compuesta', 'copla_castellana', 'quintilla', 'soleá',
'estrofa_manriqueña', 'quinteto', 'terceto', 'sexta_rima',
'unknown', 'estrofa_sáfica', 'estrofa_francisco_de_la_torre',
'novena', 'sexteto', 'copla_arte_menor', 'copla_arte_mayor',
'terceto_monorrimo', 'copla_mixta', 'septeto', 'sexteto_lira']
self.labels = labels
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
"label": datasets.ClassLabel(names=labels),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
URLS = {key: STANZAS[key] for key in STANZAS.keys()}
downloaded_files = dl_manager.download(URLS)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation"]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",")
next(csv_reader) # skip header
for idx, (text, label) in enumerate(csv_reader):
yield int(idx), {
"text": text,
"label": label,
}
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