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Datasets:
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VeraCruz_PT-BR

Tasks:
Text Generation
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
100M<n<1B
Tags:
pt
br
portuguese
brazilian
portugal
brazil
Libraries:
Datasets
Dask
Croissant
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metadata
configs:
  - config_name: pr
    data_files: pt/*.parquet
  - config_name: br
    data_files: br/*.parquet
  - config_name: other
    data_files: other/*.parquet
task_categories:
  - text-generation
  - text-classification
language:
  - pt
tags:
  - pt
  - br
  - portuguese
  - brazilian
  - portugal
  - brazil
size_categories:
  - 100M<n<1B

Table of Contents

Dataset Summary

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:

  • Portugal (PT): Content originating from Portugal, offering insights into European Portuguese.
  • Brazil (BR): Samples from Brazil, highlighting the nuances of Brazilian Portuguese.
  • 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.

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.

Source Data

The VeraCruz Dataset is derived from the MyCulturaX dataset's Portuguese language segment, a comprehensive collection known for its broad linguistic coverage across multiple languages.

Personal and Sensitive Information

Given the dataset's extensive nature, it may contain personal and sensitive information. Users are advised to handle the data responsibly, employing ethical practices and privacy-compliant measures such as data anonymization where necessary. It is crucial to respect individual privacy and adhere to legal standards when utilizing this dataset.

Licensing Information

The license terms for the VeraCruz Dataset strictly follow those of mC4 and OSCAR. Please refer to the licenses of both datasets when using VeraCruz: