Datasets:
Languages:
Indonesian
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
License:
File size: 2,549 Bytes
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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.
# Lint as: python3
"""ID Puisi: A Dataset for Indonesian Poem"""
from __future__ import absolute_import, division, print_function
import csv
import datasets
_DESCRIPTION = """\
Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.
"""
_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv"
class IDPuisi(datasets.GeneratorBasedBuilder):
"""ID Puisi: A Datases for Indonesian Poem"""
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"title": datasets.Value("string"),
"author": datasets.Value("string"),
"puisi": datasets.Value("string"),
"puisi_with_header": datasets.Value("string"),
}
),
homepage="https://github.com/ilhamfp/puisi-pantun-generator",
)
def _split_generators(self, dl_manager):
train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": train_path,
},
),
]
def _generate_examples(self, filepath):
"""Generate ID Puisi examples."""
with open(filepath, encoding="utf-8") as csv_file:
csv_reader = csv.reader(
csv_file,
delimiter=",",
quoting=csv.QUOTE_ALL,
)
for id_, row in enumerate(csv_reader):
if id_ == 0:
# Skip header
continue
yield id_, {"puisi": row[0], "title": row[1], "author": row[2], "puisi_with_header": row[3]}
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