Datasets:
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"""Thai CulturaX clean dataset."""
import json
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """
Thai CulturaX Clean dataset."""
_CITATION = """EMPTY"""
_URL = "EMPTY"
_DATA_URL = "data/thai.{index:02d}.json"
_LICENSE="odc-by"
class ThaiCulturaXConfig(datasets.BuilderConfig):
"""BuilderConfig for Dataset."""
def __init__(self, *args, languages="Thai", **kwargs):
"""BuilderConfig for Dataset.
Args:
languages (:obj:`List[str]`): list of languages to load
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(
*args,
**kwargs,
)
self.languages = languages
class ThaiCulturaX(datasets.GeneratorBasedBuilder):
"""ThaiCulturaX clean dataset."""
BUILDER_CONFIGS = [
ThaiCulturaXConfig(languages="Thai", version=datasets.Version("1.0.0"))
]
BUILDER_CONFIG_CLASS = ThaiCulturaXConfig
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
"meta": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_URL,
citation=_CITATION,
license=_LICENSE,
)
def _split_generators(self, dl_manager):
data_urls = {}
for split in ["train"]:
data_urls[split] = [
_DATA_URL.format(
index=index,
)
for index in range(0, 40)
]
train_downloaded_files = dl_manager.download(data_urls["train"])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepaths": train_downloaded_files},
),
]
def _generate_examples(self, filepaths):
id_ = 0
for filepath in filepaths:
logger.info("generating examples from = %s", filepath)
with open(filepath, "r",encoding="utf-8-sig") as f:
for line in f:
if line:
example = json.loads(line)
yield id_, example
id_ += 1
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