diff --git a/common_voice.py b/common_voice.py index 0178da9810585e469c8d06bc183c247384eb190c..b11a09a759e369420d6eca718e031a1a6cbe0acf 100644 --- a/common_voice.py +++ b/common_voice.py @@ -15,8 +15,6 @@ """ Common Voice Dataset""" -import os - import datasets from datasets.tasks import AutomaticSpeechRecognition @@ -613,6 +611,7 @@ class CommonVoiceConfig(datasets.BuilderConfig): class CommonVoice(datasets.GeneratorBasedBuilder): + DEFAULT_WRITER_BATCH_SIZE = 1000 BUILDER_CONFIGS = [ CommonVoiceConfig( name=lang_id, @@ -658,49 +657,54 @@ class CommonVoice(datasets.GeneratorBasedBuilder): def _split_generators(self, dl_manager): """Returns SplitGenerators.""" - dl_path = dl_manager.download_and_extract(_DATA_URL.format(self.config.name)) - abs_path_to_data = os.path.join(dl_path, "cv-corpus-6.1-2020-12-11", self.config.name) - abs_path_to_clips = os.path.join(abs_path_to_data, "clips") + archive = dl_manager.download(_DATA_URL.format(self.config.name)) + path_to_data = "/".join(["cv-corpus-6.1-2020-12-11", self.config.name]) + path_to_clips = "/".join([path_to_data, "clips"]) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ - "filepath": os.path.join(abs_path_to_data, "train.tsv"), - "path_to_clips": abs_path_to_clips, + "files": dl_manager.iter_archive(archive), + "filepath": "/".join([path_to_data, "train.tsv"]), + "path_to_clips": path_to_clips, }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ - "filepath": os.path.join(abs_path_to_data, "test.tsv"), - "path_to_clips": abs_path_to_clips, + "files": dl_manager.iter_archive(archive), + "filepath": "/".join([path_to_data, "test.tsv"]), + "path_to_clips": path_to_clips, }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ - "filepath": os.path.join(abs_path_to_data, "dev.tsv"), - "path_to_clips": abs_path_to_clips, + "files": dl_manager.iter_archive(archive), + "filepath": "/".join([path_to_data, "dev.tsv"]), + "path_to_clips": path_to_clips, }, ), datasets.SplitGenerator( name="other", gen_kwargs={ - "filepath": os.path.join(abs_path_to_data, "other.tsv"), - "path_to_clips": abs_path_to_clips, + "files": dl_manager.iter_archive(archive), + "filepath": "/".join([path_to_data, "other.tsv"]), + "path_to_clips": path_to_clips, }, ), datasets.SplitGenerator( name="invalidated", gen_kwargs={ - "filepath": os.path.join(abs_path_to_data, "invalidated.tsv"), - "path_to_clips": abs_path_to_clips, + "files": dl_manager.iter_archive(archive), + "filepath": "/".join([path_to_data, "invalidated.tsv"]), + "path_to_clips": path_to_clips, }, ), ] - def _generate_examples(self, filepath, path_to_clips): + def _generate_examples(self, files, filepath, path_to_clips): """Yields examples.""" data_fields = list(self._info().features.keys()) @@ -708,28 +712,37 @@ class CommonVoice(datasets.GeneratorBasedBuilder): data_fields.remove("audio") path_idx = data_fields.index("path") - with open(filepath, encoding="utf-8") as f: - lines = f.readlines() - headline = lines[0] - - column_names = headline.strip().split("\t") - assert ( - column_names == data_fields - ), f"The file should have {data_fields} as column names, but has {column_names}" - - for id_, line in enumerate(lines[1:]): - field_values = line.strip().split("\t") + all_field_values = {} + metadata_found = False + for path, f in files: + if path == filepath: + metadata_found = True + lines = f.readlines() + headline = lines[0].decode("utf-8") - # set absolute path for mp3 audio file - field_values[path_idx] = os.path.join(path_to_clips, field_values[path_idx]) + column_names = headline.strip().split("\t") + assert ( + column_names == data_fields + ), f"The file should have {data_fields} as column names, but has {column_names}" + for line in lines[1:]: + field_values = line.decode("utf-8").strip().split("\t") + # set full path for mp3 audio file + audio_path = "/".join([path_to_clips, field_values[path_idx]]) + all_field_values[audio_path] = field_values + elif path.startswith(path_to_clips): + assert metadata_found, "Found audio clips before the metadata TSV file." + if not all_field_values: + break + if path in all_field_values: + field_values = all_field_values[path] - # if data is incomplete, fill with empty values - if len(field_values) < len(data_fields): - field_values += (len(data_fields) - len(field_values)) * ["''"] + # if data is incomplete, fill with empty values + if len(field_values) < len(data_fields): + field_values += (len(data_fields) - len(field_values)) * ["''"] - result = {key: value for key, value in zip(data_fields, field_values)} + result = {key: value for key, value in zip(data_fields, field_values)} - # set audio feature - result["audio"] = field_values[path_idx] + # set audio feature + result["audio"] = {"path": path, "bytes": f.read()} - yield id_, result + yield path, result diff --git a/dataset_infos.json b/dataset_infos.json index f9266ece14927081f1c57cb3de954ad096a4a6ba..1e79e044ac35bfe901ecd241357b270c6ca612dd 100644 --- a/dataset_infos.json +++ b/dataset_infos.json @@ -1 +1 @@ -{"ab": {"description": "Common Voice is Mozilla's initiative to help teach machines how real people speak.\nThe dataset currently consists of 7,335 validated hours of speech in 60 languages, but we\u2019re always adding more voices and languages.\n", "citation": "@inproceedings{commonvoice:2020,\n author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. 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