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logging: !import logging.yml |
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licit_chars: !import:licit_french_chars_no_spelling utils/lists_dicts_etc/licit_characters.yml |
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mappings: !import:taxonomy_to_large_taxonomy utils/lists_dicts_etc/taxonomy_mappings.yml |
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regex_to_replace: !import:default_regex_to_replace utils/lists_dicts_etc/regexes_to_replace.yml |
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chars_to_ignore: !import:default_char_to_ignore_no_dash utils/lists_dicts_etc/characters_to_ignore.yml |
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|
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dataset: |
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(): preprocess_dataset.my_datasets.ProcessedDataset |
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name: "multilingual_librispeech_fr_processed" |
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origin_dataset_loader: |
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(): preprocess_dataset.dataset_loaders.HuggingfaceHubLoader |
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dataset_repo_id: "facebook/multilingual_librispeech" |
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config_name: "french" |
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dataset_savers: |
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- (): preprocess_dataset.dataset_savers.SaveToHuggingFaceHub |
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processing_chain: |
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(): preprocess_dataset.dataset_processors.ProcessingChain |
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processors: |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.mergers.ConcatenateTwoSplits |
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first_split: "train" |
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other_split: "validation" |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.removers.SplitsToKeep |
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splits_to_keep: ["train", "test"] |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.Shuffle |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.ProcessOneSplit |
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split: "train" |
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processor: |
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.Selector |
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selection: |
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.FirstNRows |
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n_rows: 80 |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.ProcessOneSplit |
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split: "test" |
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processor: |
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.Selector |
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selection: |
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.FirstNRows |
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n_rows: 20 |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.LambdaMap |
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lambda_func_str: 'lambda batch: { |
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"taxonomy": "librispeech", |
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"taxonomy_large": "librispeech"}' |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.Filter |
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print_report: true |
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filter: |
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|
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.FilterColumnStartWith |
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column_name: "id" |
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values_to_remove: ["10032_9061","10058_9061","10065_9061","10082_9061","11772_12174","123_2301","123_4904","123_9061","12823_13638","1590_1356","204_4904","2587_4904","2607_4904","28_149","3595_4904","3698_4904","5232_4904","5232_5203","5612_4904","5840_4904","6318_5203","6362_5471","7032_5203","7423_9061","9804_9061","9854_9061"] |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.RenameColumn |
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origin_column_name: 'id' |
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target_column_name: 'path' |
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- (): preprocess_dataset.dataset_processors.misc_preprocessors.RenameColumn |
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origin_column_name: 'text' |
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target_column_name: 'sentence' |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.removers.ColumnsToKeep |
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columns_to_keep: ["sentence", "audio", "path", "taxonomy", "taxonomy_large"] |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.duplicators.DuplicateColumn |
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origin_column_name: "sentence" |
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new_column_name: "sentence_processed" |
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- (): preprocess_dataset.dataset_processors.text_preprocessors.TextPreProcessingChain |
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column: "sentence_processed" |
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processors: |
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- (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.Normalize |
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- (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.ReplaceRegexProcessor |
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regex_to_replace: !cfg regex_to_replace |
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- (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.RemoveSpecialCharsProcessor |
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chars_to_ignore: !cfg chars_to_ignore |
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- (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.LowerCaseProcessor |
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do_not_lowercase_spellings: false |
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- (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.Filter |
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print_report: true |
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filter: |
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(): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.LicitCharactersFilter |
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licit_chars: !cfg licit_chars |
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column_name: "sentence_processed" |
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- (): preprocess_dataset.dataset_processors.audio_preprocessors.CastAudioColumn |
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- (): preprocess_dataset.dataset_processors.audio_preprocessors.ForceResampling |
