Datasets:
fix age_imitation ClassLabel bug
Browse files- author_profiling.py +1 -1
author_profiling.py
CHANGED
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@@ -95,7 +95,7 @@ class AuthorProfiling(datasets.GeneratorBasedBuilder):
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"age_group": datasets.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
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| 96 |
"gender": datasets.ClassLabel(names=["male", "female"]),
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"no_imitation": datasets.ClassLabel(names=[0,1]),
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-
"age_imitation": datasets.
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"gender_imitation": datasets.Value("float32"), #datasets.ClassLabel(names=[0.0, 1.0, float("nan")]),
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"style_imitation": datasets.Value("float32"), #datasets.ClassLabel(names=[0.0, 1.0, float("nan")]),
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# These are the features of your dataset like images, labels ...
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"age_group": datasets.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
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| 96 |
"gender": datasets.ClassLabel(names=["male", "female"]),
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"no_imitation": datasets.ClassLabel(names=[0,1]),
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| 98 |
+
"age_imitation": datasets.ClassLabel(names=["younger", "older", 0, float("nan")]),
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"gender_imitation": datasets.Value("float32"), #datasets.ClassLabel(names=[0.0, 1.0, float("nan")]),
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"style_imitation": datasets.Value("float32"), #datasets.ClassLabel(names=[0.0, 1.0, float("nan")]),
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| 101 |
# These are the features of your dataset like images, labels ...
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