Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Size:
10K - 100K
Tags:
speech-recognition
License:
++ japhug
Browse files- pangloss.py +1 -1
pangloss.py
CHANGED
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@@ -184,7 +184,7 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
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| 184 |
with open(filepath, encoding="utf-8") as file_descriptor:
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reader = csv.DictReader(file_descriptor)
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| 186 |
for key, row in enumerate(reader):
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| 187 |
-
translated_fieldnames = [self.field_translations[fieldname] for fieldname in reader.fieldnames if fieldname
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| 188 |
data = dict(zip(translated_fieldnames, row.values()))
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| 189 |
data["audio"] = os.path.join(os.path.dirname(filepath), data["path"])
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| 190 |
# Yields examples as (key, example) tuples
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| 184 |
with open(filepath, encoding="utf-8") as file_descriptor:
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reader = csv.DictReader(file_descriptor)
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| 186 |
for key, row in enumerate(reader):
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| 187 |
+
translated_fieldnames = [self.field_translations[fieldname] for fieldname in reader.fieldnames if fieldname in field_translations.keys()]
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| 188 |
data = dict(zip(translated_fieldnames, row.values()))
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| 189 |
data["audio"] = os.path.join(os.path.dirname(filepath), data["path"])
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| 190 |
# Yields examples as (key, example) tuples
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