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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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  ---
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+ annotations_creators:
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+ - crowdsourced
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+
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+ language:
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+ - qu
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+
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+ license:
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+ - apache-2.0
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+
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+
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  ---
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+ # Dataset Card for WikiANN
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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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+ ## Dataset Description
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+ - **Paper:** The original datasets come from Introducing QuBERT: A Large Monolingual Corpus and BERT Model for
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+ Southern Quechua [paper](https://aclanthology.org/2022.deeplo-1.1.pdf) by Rodolfo Zevallos et al. (2022).
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+ - **Point of Contact:** [Rodolfo Zevallos](mailto:rodolfojoel.zevallos@upf.edu)
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+ ### Dataset Summary
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+ 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.
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+ ### Supported Tasks and Leaderboards
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+ - `named-entity-recognition`: The dataset can be used to train a model for named entity recognition in Quechua languages.