Dataset Card for Monolingual-Quechua-IIC

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://llamacha.pe
• Paper: Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua
• Point of Contact: Rodolfo Zevallos
• Size of downloaded dataset files: 373.28 MB

Dataset Summary

We present Monolingual-Quechua-IIC, a monolingual corpus of Southern Quechua, which can be used to build language models using Transformers models. This corpus also includes the Wiki and OSCAR corpora. We used this corpus to build Llama-RoBERTa-Quechua, the first language model for Southern Quechua using Transformers.

Supported Tasks and Leaderboards

More Information Needed

Languages

Southern Quechua

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

Apache-2.0

Citation Information

@inproceedings{zevallos2022introducing,
  title={Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua},
  author={Zevallos, Rodolfo and Ortega, John and Chen, William and Castro, Richard and Bel, Nuria and Toshio, Cesar and Venturas, Renzo and Aradiel, Hilario and Melgarejo, Nelsi},
  booktitle={Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing},
  pages={1--13},
  year={2022}
}

Contributions

Thanks to @rjzevallos for adding this dataset.