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@@ -92,7 +92,7 @@ The SpanishOCR dataset was curated to support research and development on inform
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  This dataset enables AI models to extract structured information from scanned financial documents in multiple languages, promoting transparency and accessibility. By aligning page-level PDF images with accurate ground truth text, it supports the development of fairer, more inclusive models that work across diverse formats and languages.
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  ### Discussion of Biases
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- - The source data is limited toregulatory documents for Scurity Markets, it may underrepresent other financial document types such as tax records, bank statements, or private company reports, potentially limiting model generalizability.
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  ### Other Known Limitations
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  - The ground truth text is extracted using the Python package fitz (PyMuPDF), which may introduce inaccuracies in complex layouts, potentially affecting training quality and evaluation reliability.
 
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  This dataset enables AI models to extract structured information from scanned financial documents in multiple languages, promoting transparency and accessibility. By aligning page-level PDF images with accurate ground truth text, it supports the development of fairer, more inclusive models that work across diverse formats and languages.
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  ### Discussion of Biases
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+ - The source data is limited to regulatory documents for Scurity Markets, it may underrepresent other financial document types such as tax records, bank statements, or private company reports, potentially limiting model generalizability.
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  ### Other Known Limitations
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  - The ground truth text is extracted using the Python package fitz (PyMuPDF), which may introduce inaccuracies in complex layouts, potentially affecting training quality and evaluation reliability.