Datasets:
udpate dtype for age feat
Browse files- author_profiling.py +2 -2
author_profiling.py
CHANGED
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@@ -61,7 +61,7 @@ class AuthorProfiling(datasets.GeneratorBasedBuilder):
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The Corpus for the analysis of author profiling in Russian-language texts.
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"""
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VERSION = datasets.Version("
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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@@ -91,7 +91,7 @@ class AuthorProfiling(datasets.GeneratorBasedBuilder):
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"text": datasets.Value("string"),
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"account_id": datasets.Value("string"),
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"author_id": datasets.Value("string"),
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"age": datasets.Value("
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"age_group": datasets.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
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"gender": datasets.ClassLabel(names=["male", "female"]),
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"no_imitation": datasets.ClassLabel(names=["no_any_imitation", "with_any_imitation"]),
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The Corpus for the analysis of author profiling in Russian-language texts.
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"""
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+
VERSION = datasets.Version("2.0.1")
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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"text": datasets.Value("string"),
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"account_id": datasets.Value("string"),
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"author_id": datasets.Value("string"),
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+
"age": datasets.Value("int64"),
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"age_group": datasets.ClassLabel(names=["0-19", "20-29", "30-39", "40-49", "50+"]),
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"gender": datasets.ClassLabel(names=["male", "female"]),
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"no_imitation": datasets.ClassLabel(names=["no_any_imitation", "with_any_imitation"]),
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