| import datasets | |
| import os | |
| import numpy as np | |
| SHARD_SIZE = 2500 | |
| NUM_SHARDS = 40 | |
| _DATA_FILES = [ | |
| f'data_{i*SHARD_SIZE}_to_{(i+1)*SHARD_SIZE}.zip' for i in range(NUM_SHARDS) | |
| ] + [ 'val.zip' ] | |
| _DESCRIPTION = """\ | |
| TODO | |
| """ | |
| class CommaVQ(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| {"path": datasets.Value("string")} | |
| ) | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| dl_manager.download_config.ignore_url_params = True | |
| downloaded_files = dl_manager.download(_DATA_FILES) | |
| local_extracted_archive = dl_manager.extract(downloaded_files) if not dl_manager.is_streaming else [None]*len(downloaded_files) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=str(i), | |
| gen_kwargs={"local_extracted_archive":local_extracted_archive[i], "files": dl_manager.iter_archive(downloaded_files[i])} | |
| ) for i in range(len(downloaded_files))] | |
| def _generate_examples(self, local_extracted_archive, files): | |
| for path_in_archive, f in files: | |
| path = os.path.join(local_extracted_archive, path_in_archive) if local_extracted_archive is not None else path_in_archive | |
| yield path_in_archive, {'path': path} |