def _split_generators(self, dl_manager: tfds.download.DownloadManager):
        """Returns SplitGenerators."""
        # TODO(financial_sentiment_dataset): Downloads the data and defines the splits
        path = dl_manager.download_kaggle_data(
            'ankurzing/sentiment-analysis-for-financial-news')

        # TODO(financial_sentiment_dataset): Returns the Dict[split names, Iterator[Key, Example]]
        return {
            'train':
            self._generate_examples(path=os.path.join(path, 'all-data.csv')),
        }
Ejemplo n.º 2
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    def _split_generators(
        dl_manager: tfds.download.DownloadManager,
    ) -> Dict[str, Iterator[Tuple[str, Dict[str, Union[Path, str]]]]]:
        """Returns SplitGenerators."""

        path = dl_manager.download_kaggle_data(_KAGGLE_DATA)
        path /= "MURA-v1.1"

        return {
            "train": Mura._generate_examples(path / "train"),
            "valid": Mura._generate_examples(path / "valid"),
        }