annotations_creators:
- no-annotation
language_creators:
- found
language:
- qu
license:
- apache-2.0
Dataset Card for Monolingual-Quechua-IIC
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [Needs More Information]
- Repository: [Needs More Information]
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
Presentamos Monolingual-Quechua-IIC, un corpus monolingüe del quechua sureño, la cual puede ser usado para construir modelos de lenguaje mediante modelos Transformers. Este corpus además incluye los corpus de Wiki y OSCAR. Utilizamos este corpus para construir Llama-RoBERTa-Quechua, el primer modelo de lenguaje para el quechua sureño mediante Transformers.
Supported Tasks and Leaderboards
Monolingual-Quechua-IIC se utiliza principalmente para el preentrenamiento de modelos lingüísticos y representaciones de palabras.
Languages
Quechua Sureño
Dataset Structure
Data Instances
[Needs More Information]
Data Fields
[Needs More Information]
Data Splits
[Needs More Information]
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
Llamacha, una iniciativa para la revitalización y preservación de lenguas en vías de extinción en el Perú. Para más información visita https://llamacha.pe
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
apache-2.0
Citation Information
[Needs More Information]
Contributions
Gracias a @rjzevallos por agregar este dataset.