metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: extra
path: data/extra-*
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
- name: langs
sequence: string
- name: spans
sequence: string
splits:
- name: train
num_bytes: 538947
num_examples: 473
- name: extra
num_bytes: 11497
num_examples: 109
download_size: 140314
dataset_size: 550444
license: mit
task_categories:
- token-classification
language:
- ug
size_categories:
- n<1K
Uyghur NER dataset
Description
This dataset is in WikiAnn format. The dataset is assembled from named entities parsed from Wikipedia, Wiktionary and Dbpedia. For some words, new case forms have been created using Apertium-uig. Some locations have been translated using the Google Translate API.
The dataset is divided into two parts: train and extra. Train has full sentences, extra has only named entities.
Tags: O (0), B-PER (1), I-PER (2), B-ORG (3), I-ORG (4), B-LOC (5), I-LOC (6)
Data example
{
'tokens': ['قاراماي', 'شەھىرى', '«مەملىكەت', 'بويىچە', 'مىللەتل…'],
'ner_tags': [5, 0, 0, 0, 0],
'langs': ['ug', 'ug', 'ug', 'ug', 'ug'],
'spans': ['LOC: قاراماي']
}
Usage with datasets library
from datasets import load_dataset
dataset = load_dataset("codemurt/uyghur_ner_dataset")