Datasets:
Tasks:
Token Classification
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Quechua
Size:
10K - 100K
License:
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-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. | |