metadata
language:
- ber
- kab
- en
license: cc-by-4.0
size_categories:
- n<1K
task_categories:
- token-classification
- translation
tags:
- kabyle
- berber
- tamazight
- named-entity-recognition
- low-resource-nlp
pretty_name: Kabyle Standardized Named Entities Dataset
dataset_info:
features:
- name: kabyle_standardized
dtype: string
- name: english_translation
dtype: string
- name: entity_category
dtype: string
splits:
- name: train
num_bytes: 35000
num_examples: 292
configs:
- config_name: default
data_files:
- split: train
path: data/kabyle_named_entities.tsv
csv_kwargs:
delimiter: "\t"
quotechar: '"'
skipinitialspace: true
Kabyle Standardized Named Entities Dataset
This is a manually curated parallel corpus in Kabyle complete with semantic English contextual translations and structured Named Entity Recognition (NER) tag assignments.
Dataset Structure
kabyle_standardized: Target entity string conforming to standardized orthographic regulations.english_translation: High-context semantic meaning, institutional purpose, or micro-topographic geographical breakdowns.entity_category: Uniform class label mappings (Location,Political Party,Institution,Movement,Person,Organization).
Source
This work is based on Mohammed Belkacem's initial work on named entities in the Kabyle language.