Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Size:
10K - 100K
Tags:
speech-recognition
License:
BenjaminGalliot
commited on
Commit
•
8df3d35
1
Parent(s):
2451bdd
Mise à jour partielle (suite, fichier de création)
Browse files- pangloss.py +3 -8
pangloss.py
CHANGED
@@ -93,11 +93,6 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
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"traduction:zh": "translation:zh"
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}
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language_codes = {
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"yong1288": "na",
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"japh1234": "japhug"
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}
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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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# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
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@@ -160,7 +155,7 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, self.
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"split": "train"
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},
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),
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@@ -168,7 +163,7 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, self.
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"split": "test"
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},
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),
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@@ -176,7 +171,7 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, self.
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"split": "validation"
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},
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),
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"traduction:zh": "translation:zh"
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}
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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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# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, self.config.name, "train.csv"),
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"split": "train"
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},
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),
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, self.config.name, "test.csv"),
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"split": "test"
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},
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),
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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+
"filepath": os.path.join(data_dir, self.config.name, "validation.csv"),
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"split": "validation"
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},
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),
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