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"""ViHOS - Vietnamese Hate and Offensive Spans dataset""" |
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import pandas as pd |
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import datasets |
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_DESCRIPTION = """\ |
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This is a dataset of Vietnamese Hate and Offensive Spans dataset from social media texts. |
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""" |
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_HOMEPAGE = "https://huggingface.co/datasets/phusroyal/ViHOS" |
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_LICENSE = "mit" |
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_URLS = [ |
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"https://huggingface.co/datasets/phusroyal/ViHOS/blob/main/test/test.csv" |
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] |
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class ViHOS(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("2.0.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"content": datasets.Value("string"), |
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"index_spans": datasets.Value("string") |
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} |
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), |
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homepage=_HOMEPAGE, |
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license=_LICENSE |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = dl_manager.download_and_extract(_URLS) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": data_dir[0], |
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"split": "test", |
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}, |
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) |
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] |
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def load_csv(filename): |
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data = list() |
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file = open(filename,"r") |
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lines = reader(file) |
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csv_reader = reader(file) |
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for row in csv_reader: |
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if not row: |
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continue |
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data.append(row) |
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return data |
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def _generate_examples(self, filepath, split): |
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colnames=['id', 'Content', 'Span ids'] |
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with open(filepath, 'r', encoding="utf-8") as f: |
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data = pd.read_csv(f, names=colnames, header = None) |
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for i in range(len(data)): |
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id = data.loc[i, 'id'] |
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Content = data.loc[i, 'Content'] |
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Span_ids = data.loc[i, 'Span ids'] |
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yield id, { |
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"Content": Content, |
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"Span_ids": Span_ids |
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} |
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