Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
intent-classification
Size:
10K - 100K
License:
improve description of preprocessing
Browse files
README.md
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## Processing Steps
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- drop `NaN` values
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- drop duplicates in `answer_de`
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- delete all rows with `char_count` > 70
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- add column `label`: `df["label"] = df["scenario"] + "_" + df["intent"]`
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- remove classes (`label`) with less than 25 samples:
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- `audio_volume_other`
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## Processing Steps
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- drop `NaN` values
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- drop duplicates in `answer_de` and `answer`
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- delete all rows where `answer_de` has more than 70 characters
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- add column `label`: `df["label"] = df["scenario"] + "_" + df["intent"]`
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- remove classes (`label`) with less than 25 samples:
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- `audio_volume_other`
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