🐛 first final fixes
Browse files- many_emotions.py +6 -7
many_emotions.py
CHANGED
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@@ -4,8 +4,7 @@ from typing import List
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import datasets
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from datasets import ClassLabel, Value, load_dataset
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-
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}
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_SUB_CLASSES = [
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"anger",
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@@ -64,7 +63,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
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EmotionsDatasetConfig(
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name="raw",
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label_classes=_SUB_CLASSES,
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features=["text", "label", "dataset", "license"
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),
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EmotionsDatasetConfig(
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name="split",
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@@ -73,7 +72,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
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)
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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return datasets.DatasetInfo(
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@@ -84,7 +83,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
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'label': ClassLabel(names=_SUB_CLASSES, id=None),
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'dataset': Value(dtype='string', id=None),
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'license': Value(dtype='string', id=None),
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'language':
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}
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)
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)
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@@ -93,7 +92,7 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
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splits = []
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if self.config.name == "raw":
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downloaded_files = dl_manager.download_and_extract(["data/many_emotions.json.gz"])
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-
for lang in
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splits.append(datasets.SplitGenerator(name=lang,
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gen_kwargs={"filepaths": downloaded_files,
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"language": lang,
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@@ -138,5 +137,5 @@ class EmotionsDataset(datasets.GeneratorBasedBuilder):
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if __name__ == "__main__":
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dataset = load_dataset("ma2za/many_emotions", name="
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print()
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import datasets
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from datasets import ClassLabel, Value, load_dataset
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_LANGUAGES = ["en", "fr", "it", "es", "de"]
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_SUB_CLASSES = [
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"anger",
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EmotionsDatasetConfig(
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name="raw",
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label_classes=_SUB_CLASSES,
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features=["text", "label", "dataset", "license"]
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),
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EmotionsDatasetConfig(
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name="split",
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)
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]
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+
DEFAULT_CONFIG_NAME = "split"
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def _info(self):
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return datasets.DatasetInfo(
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'label': ClassLabel(names=_SUB_CLASSES, id=None),
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'dataset': Value(dtype='string', id=None),
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'license': Value(dtype='string', id=None),
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'language': ClassLabel(names=_LANGUAGES, id=None)
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}
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)
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)
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splits = []
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if self.config.name == "raw":
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downloaded_files = dl_manager.download_and_extract(["data/many_emotions.json.gz"])
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for lang in _LANGUAGES:
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splits.append(datasets.SplitGenerator(name=lang,
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gen_kwargs={"filepaths": downloaded_files,
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"language": lang,
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if __name__ == "__main__":
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dataset = load_dataset("ma2za/many_emotions", name="split")
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print()
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