Datasets:
Tasks:
Token Classification
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Quechua
Size:
10K - 100K
License:
rjzevallos
commited on
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README.md
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---
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---
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annotations_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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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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# 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.
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