import csv import datasets from datasets import DownloadManager import os class JPDataset(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("1.0.0") dl_manager = DownloadManager() def _info(self): return datasets.DatasetInfo( features=datasets.Features( { "file_name": datasets.Value("string"), "audio": datasets.Audio(sampling_rate=16_000), "sentence": datasets.Value("string"), } ), supervised_keys=("audio", "sentence"), ) def _split_generators(self, dl_manager): train_csv_path = dl_manager.download_and_extract("train.csv") valid_csv_path = dl_manager.download_and_extract("valid.csv") train_archive_path = dl_manager.download_and_extract("data/train.tar.gz") valid_archive_path = dl_manager.download_and_extract("data/valid.tar.gz") print(train_archive_path) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "csv_path": train_csv_path, "archive_path": train_archive_path }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "csv_path": valid_csv_path, "archive_path": valid_archive_path }, ), ] def _generate_examples(self, csv_path, archive_path): examples = {} with open(csv_path, encoding="utf-8") as f: reader = csv.DictReader(f) for row in reader: # Replace backslashes with forward slashes in file paths file_name_with_prefix = row['file_name'].replace('\\', '/') examples[file_name_with_prefix] = { "file_name": file_name_with_prefix, "sentence": row['transcription'], } print("Keys in examples:", examples.keys()) for root, dirs, files in os.walk(archive_path): for file in files: relative_file_path = os.path.relpath(os.path.join(root, file), archive_path).replace('\\', '/') print("Processing path:", relative_file_path) if relative_file_path in examples: # Open and read the file with open(os.path.join(root, file), 'rb') as f: audio_data = f.read() example = examples[relative_file_path] example['audio'] = {"bytes": audio_data, "sampling_rate": 16_000} yield relative_file_path, example else: print("File path not in examples:", relative_file_path)