logging: !import logging.yml licit_chars: !import:licit_french_chars_no_spelling utils/lists_dicts_etc/licit_characters.yml mappings: !import:taxonomy_to_large_taxonomy utils/lists_dicts_etc/taxonomy_mappings.yml regex_to_replace: !import:default_regex_to_replace utils/lists_dicts_etc/regexes_to_replace.yml chars_to_ignore: !import:default_char_to_ignore_no_dash utils/lists_dicts_etc/characters_to_ignore.yml dataset: (): preprocess_dataset.my_datasets.ProcessedDataset name: "multilingual_librispeech_fr_processed" origin_dataset_loader: (): preprocess_dataset.dataset_loaders.HuggingfaceHubLoader dataset_repo_id: "facebook/multilingual_librispeech" config_name: "french" dataset_savers: - (): preprocess_dataset.dataset_savers.SaveToHuggingFaceHub processing_chain: (): preprocess_dataset.dataset_processors.ProcessingChain processors: - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.mergers.ConcatenateTwoSplits first_split: "train" other_split: "validation" - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.removers.SplitsToKeep splits_to_keep: ["train", "test"] - (): preprocess_dataset.dataset_processors.misc_preprocessors.Shuffle - (): preprocess_dataset.dataset_processors.misc_preprocessors.ProcessOneSplit split: "train" processor: (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.Selector selection: (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.FirstNRows n_rows: 80 - (): preprocess_dataset.dataset_processors.misc_preprocessors.ProcessOneSplit split: "test" processor: (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.Selector selection: (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.selectors.FirstNRows n_rows: 20 - (): preprocess_dataset.dataset_processors.misc_preprocessors.LambdaMap lambda_func_str: 'lambda batch: { "taxonomy": "librispeech", "taxonomy_large": "librispeech"}' - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.Filter print_report: true filter: # remove all the samples where the accented characters have been removed by mistake (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.FilterColumnStartWith column_name: "id" 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"] - (): preprocess_dataset.dataset_processors.misc_preprocessors.RenameColumn origin_column_name: 'id' target_column_name: 'path' - (): preprocess_dataset.dataset_processors.misc_preprocessors.RenameColumn origin_column_name: 'text' target_column_name: 'sentence' - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.removers.ColumnsToKeep columns_to_keep: ["sentence", "audio", "path", "taxonomy", "taxonomy_large"] - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.duplicators.DuplicateColumn origin_column_name: "sentence" new_column_name: "sentence_processed" - (): preprocess_dataset.dataset_processors.text_preprocessors.TextPreProcessingChain column: "sentence_processed" processors: - (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.Normalize - (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.ReplaceRegexProcessor regex_to_replace: !cfg regex_to_replace - (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.RemoveSpecialCharsProcessor chars_to_ignore: !cfg chars_to_ignore - (): preprocess_dataset.dataset_processors.text_preprocessors.preprocessors.LowerCaseProcessor do_not_lowercase_spellings: false - (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.Filter print_report: true filter: (): preprocess_dataset.dataset_processors.dataset_shape_preprocessors.filters.LicitCharactersFilter licit_chars: !cfg licit_chars column_name: "sentence_processed" - (): preprocess_dataset.dataset_processors.audio_preprocessors.CastAudioColumn - (): preprocess_dataset.dataset_processors.audio_preprocessors.ForceResampling