Update README.md

README.md

@@ -81,15 +81,15 @@ The SpanishOCR dataset was curated to support research and development on inform
 
 ### Personal and Sensitive Information
 
-- The SpanishOCR dataset does not contain any personally identifiable information (PII) and is strictly focused on Greek text data for summarization purposes.
+- The SpanishOCR dataset does not contain any personally identifiable information (PII) and is strictly focused on Spanish-language regulatory data. No personal or sensitive information is present in the dataset.
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
-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. 
+This dataset enables AI models to extract structured information from scanned financial documents in Spanish, supporting downstream applications in finance, regulation, and transparency initiatives across Spanish-speaking regions. 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. 
 
 ### Discussion of Biases
-- 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.
+- The source data is limited to regulatory documents for Securities Markets, it may underrepresent other financial document types such as tax records, bank statements, or private company reports, potentially limiting model generalizability.
 
 ### Other Known Limitations
 - 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.