Datasets:
Update Naija-Lexicons.py
Browse files- Naija-Lexicons.py +9 -9
Naija-Lexicons.py
CHANGED
@@ -63,8 +63,8 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
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def __init__(
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self,
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text_features,
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-
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-
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label_column,
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label_classes,
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hau_url,
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@@ -89,8 +89,8 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
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"""
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super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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self.text_features = text_features
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self.
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self.
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self.label_column = label_column
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self.label_classes = label_classes
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self.hau_url = hau_url
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@@ -113,8 +113,8 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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f"""{_DESCRIPTION}"""
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),
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text_features={"word": "word"},
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-
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-
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label_classes=["POSITIVE", "NEGATIVE"],
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label_column="label",
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hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
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@@ -133,8 +133,8 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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f"""{_DESCRIPTION}"""
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),
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text_features={"word": "word"},
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-
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-
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label_classes=["POSITIVE", "NEGATIVE"],
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label_column="label",
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hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
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@@ -182,7 +182,7 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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machine = row['machine']
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human = row['human']
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-
yield id_, {"word": word, '
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else:
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for id_, row in df.iterrows():
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word = row["word"]
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def __init__(
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self,
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text_features,
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machine,
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human,
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label_column,
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label_classes,
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hau_url,
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"""
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super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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self.text_features = text_features
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+
self.machine = machine
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+
self.human = human
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self.label_column = label_column
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self.label_classes = label_classes
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self.hau_url = hau_url
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f"""{_DESCRIPTION}"""
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),
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text_features={"word": "word"},
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+
machine={'machine': 'machine'},
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human={'human': 'human'},
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label_classes=["POSITIVE", "NEGATIVE"],
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label_column="label",
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hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
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f"""{_DESCRIPTION}"""
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),
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text_features={"word": "word"},
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+
machine={},
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human={},
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label_classes=["POSITIVE", "NEGATIVE"],
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label_column="label",
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hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
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machine = row['machine']
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human = row['human']
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+
yield id_, {"word": word, 'machine': machine, 'human': human, "label": label}
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else:
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for id_, row in df.iterrows():
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word = row["word"]
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