96abhishekarora commited on
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806a21e
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  1. .gitattributes +166 -0
  2. AmericanStories.py +12 -4
.gitattributes CHANGED
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AmericanStories.py CHANGED
@@ -10,7 +10,7 @@ _DESCRIPTION = """\
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  American Stories offers high-quality structured data from historical newspapers suitable for pre-training large language models to enhance the understanding of historical English and world knowledge. It can also be integrated into external databases of retrieval-augmented language models, enabling broader access to historical information, including interpretations of political events and intricate details about people's ancestors. Additionally, the structured article texts facilitate the application of transformer-based methods for popular tasks like detecting reproduced content, significantly improving accuracy compared to traditional OCR methods. American Stories serves as a substantial and valuable dataset for advancing multimodal layout analysis models and other multimodal applications.
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  """
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- class YourDatasetName(DatasetBuilder):
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  VERSION = "0.0.1"
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  BUILDER_CONFIGS = [
@@ -33,9 +33,17 @@ class YourDatasetName(DatasetBuilder):
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  citation=_CITATION,
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  )
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- def _split_generators(self, dl_manager: DownloadManager) -> List[datasets.SplitGenerator]:
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- # No explicit splits defined
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- return []
 
 
 
 
 
 
 
 
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  def _generate_examples(self, filepath: str) -> Iterator[datasets.Example]:
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  with tarfile.open(filepath, "r:gz") as tar:
 
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  American Stories offers high-quality structured data from historical newspapers suitable for pre-training large language models to enhance the understanding of historical English and world knowledge. It can also be integrated into external databases of retrieval-augmented language models, enabling broader access to historical information, including interpretations of political events and intricate details about people's ancestors. Additionally, the structured article texts facilitate the application of transformer-based methods for popular tasks like detecting reproduced content, significantly improving accuracy compared to traditional OCR methods. American Stories serves as a substantial and valuable dataset for advancing multimodal layout analysis models and other multimodal applications.
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  """
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+ class AmericanStories(DatasetBuilder):
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  VERSION = "0.0.1"
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  BUILDER_CONFIGS = [
 
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  citation=_CITATION,
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  )
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+ def _split_generators(self, dl_manager):
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+ data_files = [
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+ os.path.join(self.data_dir, filename)
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+ for filename in os.listdir(self.data_dir)
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+ if filename.endswith(".tar.gz")
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+ ]
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+
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+ return [
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+ self._generate_examples(data_file)
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+ for data_file in data_files
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+ ]
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  def _generate_examples(self, filepath: str) -> Iterator[datasets.Example]:
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  with tarfile.open(filepath, "r:gz") as tar: