| from typing import Optional |
|
|
| from .. import Features, NamedSplit |
| from ..packaged_modules.text.text import Text |
| from ..utils.typing import NestedDataStructureLike, PathLike |
| from .abc import AbstractDatasetReader |
|
|
|
|
| class TextDatasetReader(AbstractDatasetReader): |
| def __init__( |
| self, |
| path_or_paths: NestedDataStructureLike[PathLike], |
| split: Optional[NamedSplit] = None, |
| features: Optional[Features] = None, |
| cache_dir: str = None, |
| keep_in_memory: bool = False, |
| streaming: bool = False, |
| num_proc: Optional[int] = None, |
| **kwargs, |
| ): |
| super().__init__( |
| path_or_paths, |
| split=split, |
| features=features, |
| cache_dir=cache_dir, |
| keep_in_memory=keep_in_memory, |
| streaming=streaming, |
| num_proc=num_proc, |
| **kwargs, |
| ) |
| path_or_paths = path_or_paths if isinstance(path_or_paths, dict) else {self.split: path_or_paths} |
| self.builder = Text( |
| cache_dir=cache_dir, |
| data_files=path_or_paths, |
| features=features, |
| **kwargs, |
| ) |
|
|
| def read(self): |
| |
| if self.streaming: |
| dataset = self.builder.as_streaming_dataset(split=self.split) |
| |
| else: |
| download_config = None |
| download_mode = None |
| verification_mode = None |
| base_path = None |
|
|
| self.builder.download_and_prepare( |
| download_config=download_config, |
| download_mode=download_mode, |
| verification_mode=verification_mode, |
| base_path=base_path, |
| num_proc=self.num_proc, |
| ) |
| dataset = self.builder.as_dataset( |
| split=self.split, verification_mode=verification_mode, in_memory=self.keep_in_memory |
| ) |
| return dataset |
|
|
