Datasets:
Tasks:
Token Classification
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Quechua
Size:
10K - 100K
License:
metadata
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
Dataset Card for WikiANN
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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.