# Dataset Card for WikiANN
## 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
- **Paper:** The original datasets come from Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
Southern Quechua [paper](https://aclanthology.org/2022.deeplo-1.1.pdf) by Rodolfo Zevallos et al. (2022).
- **Point of Contact:** [Rodolfo Zevallos](mailto:rodolfojoel.zevallos@upf.edu)
### Dataset Summary
NER_Quechua_IIC is a named entity recognition dataset consisting of dictionary texts provided by the Peruvian Ministry of Education, annotated with LOC (location), PER (person) and ORG (organization) tags in the IOB2 format.
### Supported Tasks and Leaderboards
- `named-entity-recognition`: The dataset can be used to train a model for named entity recognition in Quechua languages.

task_categories:token-classification task_ids:named-entity-recognition annotations_creators:crowdsourced size_categories:n<1K source_datasets:original language:qu license:apache-2.0 region:us
{"annotations_creators": ["crowdsourced"], "language": ["qu"], "license": ["apache-2.0"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"]}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #size_categories-n<1K #source_datasets-original #language-Quechua #license-apache-2.0 #region-us 

# Dataset Card for WikiANN
## 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
- Paper: The original datasets come from Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
Southern Quechua paper by Rodolfo Zevallos et al. (2022).
- Point of Contact: Rodolfo Zevallos
### Dataset Summary
NER_Quechua_IIC is a named entity recognition dataset consisting of dictionary texts provided by the Peruvian Ministry of Education, annotated with LOC (location), PER (person) and ORG (organization) tags in the IOB2 format.
### Supported Tasks and Leaderboards
- 'named-entity-recognition': The dataset can be used to train a model for named entity recognition in Quechua languages.

# Dataset Card for WikiANN ## 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
- Paper: The original datasets come from Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
Southern Quechua paper by Rodolfo Zevallos et al. (2022).
- Point of Contact: Rodolfo Zevallos ### Dataset Summary
NER_Quechua_IIC is a named entity recognition dataset consisting of dictionary texts provided by the Peruvian Ministry of Education, annotated with LOC (location), PER (person) and ORG (organization) tags in the IOB2 format. ### Supported Tasks and Leaderboards
- 'named-entity-recognition': The dataset can be used to train a model for named entity recognition in Quechua languages.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #size_categories-n<1K #source_datasets-original #language-Quechua #license-apache-2.0 #region-us 
 # Dataset Card for WikiANN ## 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
- Paper: The original datasets come from Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
Southern Quechua paper by Rodolfo Zevallos et al. (2022).
- Point of Contact: Rodolfo Zevallos ### Dataset Summary
NER_Quechua_IIC is a named entity recognition dataset consisting of dictionary texts provided by the Peruvian Ministry of Education, annotated with LOC (location), PER (person) and ORG (organization) tags in the IOB2 format. ### Supported Tasks and Leaderboards
- 'named-entity-recognition': The dataset can be used to train a model for named entity recognition in Quechua languages.