|
"""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://raw.githubusercontent.com/phusroyal/ViHOS/master/data/Span_Extraction_based_version/dev.csv", |
|
"https://raw.githubusercontent.com/phusroyal/ViHOS/master/data/Span_Extraction_based_version/train.csv", |
|
"https://raw.githubusercontent.com/phusroyal/ViHOS/master/data/Test_data/test.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( |
|
{ |
|
"content": datasets.Value("string"), |
|
"span_ids": 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.TRAIN, |
|
gen_kwargs={ |
|
"filepath": data_dir[1], |
|
"split": "test", |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.VALIDATION, |
|
gen_kwargs={ |
|
"filepath": data_dir[0], |
|
"split": "dev", |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TEST, |
|
gen_kwargs={ |
|
"filepath": data_dir[2], |
|
"split": "test", |
|
}, |
|
) |
|
] |
|
def _generate_examples(self, filepath, split): |
|
|
|
data = pd.read_csv(filepath, header=None, sep=",", on_bad_lines='skip', skiprows=[0]) |
|
|
|
for i in range(len(data)): |
|
content = str(data.loc[i, 1]) |
|
span_ids = str(data.loc[i, 2]) |
|
if span_ids is None: |
|
span_ids = '' |
|
|
|
yield i, { |
|
"content": content, |
|
"span_ids": span_ids, |
|
} |
