Datasets:
Update sentiment_digikala_snappfood.py
Browse files
sentiment_digikala_snappfood.py
CHANGED
@@ -14,27 +14,9 @@ _DOWNLOAD_URLS = {
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class SentimentDigikalaSnappfoodConfig(datasets.BuilderConfig):
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"""BuilderConfig for SentimentMixedV1"""
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def __init__(self, **kwargs):
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"""BuilderConfig for SentimentMixedV1.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(SentimentDigikalaSnappfoodConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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class SentimentDigikalaSnappfood(datasets.GeneratorBasedBuilder):
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"""Sentiment analysis on Digikala/SnappFood comments"""
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BUILDER_CONFIGS = [
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SentimentDigikalaSnappfoodConfig(
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name="plain_text",
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description="Plain text",
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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@@ -56,13 +38,12 @@ class SentimentDigikalaSnappfood(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, filepath):
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"""Generate examples."""
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# For labeled examples, extract the label from the path.
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label_mapping = {"negative": 0, "positive": 1, "neutral": 2}
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with open(filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.reader(
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csv_file, quotechar='"',
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)
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for id_, row in enumerate(csv_reader):
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text, label = row
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label = label_mapping[label]
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yield id_, {"text": text, "label": label}
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}
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class SentimentDigikalaSnappfood(datasets.GeneratorBasedBuilder):
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"""Sentiment analysis on Digikala/SnappFood comments"""
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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def _generate_examples(self, filepath):
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"""Generate examples."""
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label_mapping = {"negative": 0, "positive": 1, "neutral": 2}
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with open(filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.reader(
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csv_file, quotechar='"', skipinitialspace=True
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)
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for id_, row in enumerate(csv_reader):
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text, label = row
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label = label_mapping[label]
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yield id_, {"text": text, "label": label}
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