
# Dataset Card for Monolingual-Quechua-IIC

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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:** [https://llamacha.pe](https://llamacha.pe)
- **Paper:** [Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
Southern Quechua](https://aclanthology.org/2022.deeplo-1.1.pdf)
- **Point of Contact:** [Rodolfo Zevallos](mailto:rodolfojoel.zevallos@upf.edu)
- **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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Languages
Southern Quechua
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 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](https://github.com/rjzevallos) for adding this dataset.

task_categories:fill-mask task_ids:language-modeling task_ids:masked-language-modeling annotations_creators:no-annotation language_creators:crowdsourced multilinguality:monolingual size_categories:1M<n<5M source_datasets:original language:qu license:apache-2.0 region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["qu"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<5M"], "source_datasets": ["original"], "task_categories": ["fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"]}
TAGS
#task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<5M #source_datasets-original #language-Quechua #license-apache-2.0 #region-us 


# 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: URL
- 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

### Languages
Southern Quechua
## Dataset Creation
### Curation Rationale

### Source Data
#### Initial Data Collection and Normalization

#### Who are the source language producers?

### Annotations
#### Annotation process

#### Who are the annotators?

### 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
Apache-2.0


### Contributions
Thanks to @rjzevallos for adding this dataset.

# 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: URL
- 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 ### Languages
Southern Quechua ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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
Apache-2.0 ### Contributions
Thanks to @rjzevallos for adding this dataset.
TAGS
#task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<5M #source_datasets-original #language-Quechua #license-apache-2.0 #region-us 
 # 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: URL
- 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 ### Languages
Southern Quechua ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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
Apache-2.0 ### Contributions
Thanks to @rjzevallos for adding this dataset.
passage: TAGS
#task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<5M #source_datasets-original #language-Quechua #license-apache-2.0 #region-us 
# 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: URL
- 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### Languages
Southern Quechua## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators