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"""Korean Sarcasm Detection Dataset""" |
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import csv |
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import datasets |
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from datasets.tasks import TextClassification |
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_DESCRIPTION = """\ |
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This is a dataset designed to detect sarcasm in Korean because it distorts the literal meaning of a sentence |
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and is highly related to sentiment classification. |
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""" |
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_HOMEPAGE = "https://github.com/SpellOnYou/korean-sarcasm" |
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_LICENSE = "MIT License" |
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_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/SpellOnYou/korean-sarcasm/master/data/jiwon/train.csv" |
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_TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/SpellOnYou/korean-sarcasm/master/data/jiwon/test.csv" |
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class KorSarcasm(datasets.GeneratorBasedBuilder): |
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"""Korean Sarcasm Detection Dataset""" |
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VERSION = datasets.Version("1.1.0") |
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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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"tokens": datasets.Value("string"), |
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"label": datasets.features.ClassLabel(names=["no_sarcasm", "sarcasm"]), |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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task_templates=[TextClassification(text_column="tokens", label_column="label")], |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL) |
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test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}), |
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] |
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def _generate_examples(self, filepath): |
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"""Generate Korean sarcasm examples""" |
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with open(filepath, encoding="utf-8") as csv_file: |
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data = csv.reader(csv_file, delimiter=",") |
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next(data, None) |
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for id_, row in enumerate(data): |
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row = row[1:3] |
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tokens, label = row |
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yield id_, {"tokens": tokens, "label": int(label)} |
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