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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.
"""Cleaned Indonesian split of the KoPI corpus."""
import json
import glob
import gzip
import textwrap
import datasets
import zstandard as zstd
logger = datasets.logging.get_logger(__name__)
_CITATION = """
"""
_DESCRIPTION = """\
"""
_HOMEPAGE = "https://huggingface.co/datasets/duckaiml/Polylingual_Id"
_LICENSE = "CC0"
_BASE_URL = {
"train":"https://huggingface.co/datasets/duckaiml/Polylingual_Id/resolve/main/{folder}/part-{index:012d}.json.zst",
}
_CONFIGS = {
"hplt": {"part": 10, "url": "https://huggingface.co/datasets/duckaiml/Polylingual_Id/resolve/main/hplt/part_{index:d}.jsonl.zst"},
"mc4_und": {"part": 24, "url": "https://huggingface.co/datasets/duckaiml/Polylingual_Id/resolve/main/mc4_und/part_{index:d}.jsonl.zst"},
"indonesia_crawl": {"part": 10, "url": "https://huggingface.co/datasets/duckaiml/Polylingual_Id/resolve/main/indonesia_crawl/part_{index:d}.jsonl.zst"},
}
class Polylingual_IdConfig(datasets.BuilderConfig):
"""BuilderConfig for the Clean Polylingual_Id corpus."""
def __init__(self, **kwargs):
"""BuilderConfig for Clean Polylingual_Id corpus.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(**kwargs)
class Polylingual_Id(datasets.GeneratorBasedBuilder):
"""KoPI corpus."""
BUILDER_CONFIGS = [
Polylingual_IdConfig(
name="hplt",
version=datasets.Version("1.0.0"),
description=textwrap.dedent(
f"""\
hplt
"""
)
),
Polylingual_IdConfig(
name="mc4_und",
version=datasets.Version("1.0.0"),
description=textwrap.dedent(
f"""\
mc4_und
"""
)
),
Polylingual_IdConfig(
name="indonesia_crawl",
version=datasets.Version("1.0.0"),
description=textwrap.dedent(
f"""\
indonesia_crawl
"""
)
),
Polylingual_IdConfig(
name="full",
version=datasets.Version("1.0.0"),
description=textwrap.dedent(
f"""\
indonesia-crawl
"""
)
)
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
"url": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
if self.config.name == "full":
data = ['hplt','mc4_und','indonesia_crawl']
train = []
for d in data:
url = [_CONFIGS[d]['url'].format(index=k + 1) for k in range(_CONFIGS[d]['part'])]
train.extend(url)
train_downloaded_files = dl_manager.download(train)
else:
train = [_CONFIGS[self.config.name]['url'].format(index=k + 1) for k in range(_CONFIGS[self.config.name]['part'])]
#train = [_BASE_URL["train"].format(index=k + 1) for k in range(107)][0:_CONFIGS[self.config.name]['train']]
train_downloaded_files = dl_manager.download(train)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}),
]
def _generate_examples(self, filepaths):
"""This function returns the examples in the raw (text) form by iterating on all the files."""
id_ = 0
for filepath in filepaths:
logger.info(f"Generating examples from {filepath}")
with zstd.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
for line in f:
if line:
example = json.loads(line)
if example.get('url') is not None:
yield id_, {'text':example['text'],'url':example['url']}
id_ += 1
elif example.get('metadata') is not None:
yield id_, {'text':example['text'],'url':example['metadata']['url']}
id_ += 1
else:
yield id_, {'text':example['text'],'url':None}
id_ += 1 |