---
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- qu
licenses:
- apache-2.0
---

# Dataset Card for Monolingual-Quechua-IIC

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## 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](https://github.com/rjzevallos) por agregar este dataset.