Fix `license` metadata
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README.md
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---
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# Dataset Card for Monolingual-Quechua-IIC
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [Needs More Information]
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- **Repository:** [Needs More Information]
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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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.
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### Supported Tasks and Leaderboards
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Monolingual-Quechua-IIC se utiliza principalmente para el preentrenamiento de modelos lingüísticos y representaciones de palabras.
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### Languages
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Quechua Sureño
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## Dataset Structure
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### Data Instances
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[Needs More Information]
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### Data Fields
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[Needs More Information]
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### Data Splits
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[Needs More Information]
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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Llamacha, una iniciativa para la revitalización y preservación de lenguas en vías de extinción en el Perú. Para más información visita https://llamacha.pe
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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apache-2.0
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### Citation Information
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[Needs More Information]
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### Contributions
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Gracias a [@rjzevallos](https://github.com/rjzevallos) por agregar este dataset.
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- qu
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license:
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- apache-2.0
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---
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# Dataset Card for Monolingual-Quechua-IIC
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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+
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+
- **Homepage:** [Needs More Information]
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+
- **Repository:** [Needs More Information]
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+
- **Paper:** [Needs More Information]
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+
- **Leaderboard:** [Needs More Information]
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+
- **Point of Contact:** [Needs More Information]
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+
|
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### Dataset Summary
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+
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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.
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+
|
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+
### Supported Tasks and Leaderboards
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+
|
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+
Monolingual-Quechua-IIC se utiliza principalmente para el preentrenamiento de modelos lingüísticos y representaciones de palabras.
|
54 |
+
|
55 |
+
### Languages
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+
|
57 |
+
Quechua Sureño
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+
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## Dataset Structure
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+
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### Data Instances
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+
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[Needs More Information]
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+
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### Data Fields
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+
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[Needs More Information]
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### Data Splits
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+
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[Needs More Information]
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+
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## Dataset Creation
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+
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### Curation Rationale
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+
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+
[Needs More Information]
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+
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+
### Source Data
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+
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#### Initial Data Collection and Normalization
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82 |
+
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83 |
+
[Needs More Information]
|
84 |
+
|
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+
#### Who are the source language producers?
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+
|
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+
Llamacha, una iniciativa para la revitalización y preservación de lenguas en vías de extinción en el Perú. Para más información visita https://llamacha.pe
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+
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+
### Annotations
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+
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+
#### Annotation process
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+
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[Needs More Information]
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#### Who are the annotators?
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+
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[Needs More Information]
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### Personal and Sensitive Information
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+
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[Needs More Information]
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## Considerations for Using the Data
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+
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+
### Social Impact of Dataset
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+
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+
[Needs More Information]
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+
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+
### Discussion of Biases
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+
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+
[Needs More Information]
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+
|
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+
### Other Known Limitations
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+
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+
[Needs More Information]
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+
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## Additional Information
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+
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### Dataset Curators
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+
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+
[Needs More Information]
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+
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+
### Licensing Information
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+
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+
apache-2.0
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+
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### Citation Information
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+
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[Needs More Information]
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+
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### Contributions
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Gracias a [@rjzevallos](https://github.com/rjzevallos) por agregar este dataset.
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