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  The VeraCruz Dataset is a curated collection of Portuguese language content, meticulously organized to reflect the linguistic and cultural diversity within the Lusophone world. This dataset, comprising approximately 190 million samples, is categorized based on the regional origins of the content, as indicated by URL metadata. The primary categories include:
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- - **Portugal (PT):** "Content originating from Portugal, offering insights into European Portuguese."
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- - **Brazil (BR):** "Samples from Brazil, highlighting the nuances of Brazilian Portuguese."
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- - **Others:** "Content for which the regional origin cannot be determined as either Portuguese or Brazilian based on the URL metadata. This category includes Portuguese language content that does not provide clear indicators of its geographical origin through its associated URLs."
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  The VeraCruz Dataset serves as a valuable resource for linguistic research, cultural studies, and the development of AI models, particularly emphasizing the importance of distinguishing between the European and Brazilian variations of the Portuguese language.
 
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  The VeraCruz Dataset is a curated collection of Portuguese language content, meticulously organized to reflect the linguistic and cultural diversity within the Lusophone world. This dataset, comprising approximately 190 million samples, is categorized based on the regional origins of the content, as indicated by URL metadata. The primary categories include:
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+ - **Portugal (PT):** Content originating from Portugal, offering insights into European Portuguese.
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+ - **Brazil (BR):** Samples from Brazil, highlighting the nuances of Brazilian Portuguese.
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+ - **Other:** Content for which the regional origin cannot be determined as either Portuguese or Brazilian based on the URL metadata. This category includes Portuguese language content that does not provide clear indicators of its geographical origin through its associated URLs.
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  The VeraCruz Dataset serves as a valuable resource for linguistic research, cultural studies, and the development of AI models, particularly emphasizing the importance of distinguishing between the European and Brazilian variations of the Portuguese language.