File size: 3,707 Bytes
721240e 7404253 721240e 7404253 e579e12 721240e 7404253 721240e 7404253 721240e 7404253 721240e e579e12 721240e 7404253 e579e12 7404253 e579e12 721240e 7404253 721240e 821216c 721240e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
# 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
from posixpath import split
import textwrap
import datasets
import zstandard as zstd
logger = datasets.logging.get_logger(__name__)
_CITATION = """
"""
_DESCRIPTION = """\
"""
_TYPE = ['raw','dedup','neardup']
_CONF_LANG = ['ace_Latn','ban_Latn','bjn_Latn','ind_Latn','jav_Latn','min_Latn','sun_Latn']
_CONFIGS = []
for j in _CONF_LANG:
for m in _TYPE:
_CONFIGS.append(j+'-'+m)
_ALL_CONFIG = ["all-raw", "all-dedup", "all-neardup"] + _CONFIGS
_HOMEPAGE = "https://huggingface.co/datasets/munggok/KoPI-NLLB"
_LICENSE = "ODC_C"
_BASE_URL = 'https://huggingface.co/datasets/munggok/KoPI-NLLB/resolve/main/{tipe}/{lang}.json.zst'
def kopi_nllb_constructor(nam):
return KoPINLLBConfig(
name=nam,
version=datasets.Version("1.0.0"),
)
class KoPINLLBConfig(datasets.BuilderConfig):
"""BuilderConfig for the Clean KoPI corpus."""
def __init__(self, **kwargs):
"""BuilderConfig for Clean KoPI corpus.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(**kwargs)
class KoPINLLB(datasets.GeneratorBasedBuilder):
"""KoPI corpus."""
BUILDER_CONFIGS = [kopi_nllb_constructor(m) for m in _ALL_CONFIG ]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
"url": datasets.Value("string"),
"score": datasets.Value("float32"),
"source": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
name = self.config.name.split("-")
if name[0] == "all":
train = [_BASE_URL.format(tipe=name[1],lang=m) for m in _CONF_LANG]
else:
train = [_BASE_URL.format(tipe=name[1],lang=name[0])]
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 line:
example = json.loads(line)
yield id_, {'text':example['text'],'url':example['url'],'source':example['source'],'score': float(example['score'])}
id_ += 1 |