Datasets:
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"""ViHOS - Vietnamese Hate and Offensive Spans dataset"""
import pandas as pd
import datasets
_DESCRIPTION = """\
This is a dataset of Vietnamese Hate and Offensive Spans dataset from social media texts.
"""
_HOMEPAGE = "https://huggingface.co/datasets/phusroyal/ViHOS"
_LICENSE = "mit"
_URLS = [
"https://github.com/phusroyal/ViHOS/blob/master/data/Span_Extraction_based_version/train.csv"
]
class ViHOS_config(datasets.BuilderConfig):
def __init__(self, **kwargs):
super(ViHOS_config, self).__init__(**kwargs)
class ViHOS(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
ViHOS_config(name="ViHOS", version=datasets.Version("2.0.0"), description=_DESCRIPTION),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"content": datasets.Value("string"),
"index_spans": datasets.Value("string")
}
),
homepage=_HOMEPAGE,
license=_LICENSE
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract(_URLS)
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": data_dir[0],
"split": "test",
},
)
]
def _generate_examples(self, filepath, split):
# colnames=['id', 'Content', 'Span ids']
data = pd.read_csv(filepath, header=None, sep=",", on_bad_lines='skip')
for i in range(len(data)):
id_ = data.loc[i, 0]
content = str(data.loc[i, 1])
span_ids = str(data.loc[i, 2])
if span_ids is None:
span_ids = ''
yield i, {
"id": id_,
"content": content,
# "span_ids": span_ids,
} |