Datasets:

Languages:
Quechua
Multilinguality:
monolingual
Size Categories:
1M<n<5M
Language Creators:
crowdsourced
Annotations Creators:
no-annotation
Source Datasets:
original
Tags:
License:
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-
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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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- languages:
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- - qu
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- licenses:
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- - apache-2.0
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- ---
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-
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- # Dataset Card for Monolingual-Quechua-IIC
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-
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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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-
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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.
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-
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- ### Languages
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-
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- 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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-
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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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- [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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-
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- [Needs More Information]
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-
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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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-
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- #### Who are the annotators?
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-
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- [Needs More Information]
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-
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- ### Personal and Sensitive Information
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-
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- [Needs More Information]
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-
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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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-
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- ### Discussion of Biases
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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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- [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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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - crowdsourced
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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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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 1M<n<5M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - fill-mask
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+ task_ids:
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+ - language-modeling
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+ - masked-language-modeling
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+ ---
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+
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+ # Dataset Card for Monolingual-Quechua-IIC
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+
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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 and Leaderboards](#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-fields)
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+ - [Data Splits](#data-splits)
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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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+
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+
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+ ## Dataset Description
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+ - **Homepage:** [https://llamacha.pe](https://llamacha.pe)
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+ - **Paper:** [Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
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+ Southern Quechua](https://aclanthology.org/2022.deeplo-1.1.pdf)
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+ - **Point of Contact:** [Rodolfo Zevallos](mailto:rodolfojoel.zevallos@upf.edu)
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+ - **Size of downloaded dataset files:** 373.28 MB
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+ ### Dataset Summary
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+ 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.
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+ ### Supported Tasks and Leaderboards
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Languages
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+ Southern Quechua
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+ ## Dataset Creation
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+ ### Curation Rationale
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ #### Who are the source language producers?
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Annotations
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+ #### Annotation process
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ #### Who are the annotators?
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Personal and Sensitive Information
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Discussion of Biases
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Other Known Limitations
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ## Additional Information
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+ ### Dataset Curators
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ ### Licensing Information
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+ Apache-2.0
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+ ### Citation Information
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+ ```
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+ @inproceedings{zevallos2022introducing,
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+ title={Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua},
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+ 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},
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+ booktitle={Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing},
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+ pages={1--13},
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+ year={2022}
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+ }
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+ ```
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+ ### Contributions
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+ Thanks to [@rjzevallos](https://github.com/rjzevallos) for adding this dataset.