Datasets:

abdulhade
/

Kurdish_NameEntityRecognition

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csv

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1K - 10K

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pandas

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train · 9.53k rows

Sentence stringlengths 10 13 ⌀	Word stringlengths 1 22	Tag stringclasses 42 values	Unnamed: 3 stringclasses 1 value	Name of Tag stringclasses 29 values	Unnamed: 5 float64
Sentence 1	تارا	B-per	null	B-art: Beginning of an artifact/entity	null
Sentence 1	کتێبەکەی	O	null	null	null
Sentence 1	چاپ	O	null	B-ani: Beginning of an animal's name	null
Sentence 1	کرد	O	null	null	null
Sentence 2	مشک	B-ani	null	B-bird: Beginning of a bird's name	null
Sentence 2	لە	O	null	null	null
Sentence 2	پشیلە	B-ani	null	B-dat: Beginning of a date	null
Sentence 2	دەترسێت	O	null	B-eve: Beginning of an event	null
Sentence 3	کۆمپوتەرەکەی	O	null	null	null
Sentence 3	لای	O	null	B-fruit: Beginning of a fruit's name	null
Sentence 3	من	O	null	null	null
Sentence 3	داناوە	O	null	B-geo: Beginning of a geographic entity	null
Sentence 4	کاروان	B-per	null	null	null
Sentence 4	ژن	O	null	B-gpe: Beginning of a geopolitical entity	null
Sentence 4	دەگوازێتەوە	O	null	null	null
Sentence 5	بەرنامەکانی	O	null	B-nat: Beginning of a natural phenomenon	null
Sentence 5	ئەم	O	null	null	null
Sentence 5	کەناڵە	O	null	B-org: Beginning of an organization	null
Sentence 5	بەسوودن	O	null	null	null
Sentence 6	مەلەوانی	O	null	B-per: Beginning of a person's name	null
Sentence 6	بۆ	O	null	null	null
Sentence 6	ئازاری	O	null	B-tim: Beginning of a time expression	null
Sentence 6	پشت	O	null	null	null
Sentence 6	بەکەڵکە	O	null	B-vine: Beginning of a vine's name	null
Sentence 7	ڕێنووسی	O	null	null	null
Sentence 7	وشەکان	O	null	I-art: Inside of an artifact/entity	null
Sentence 7	چاک	O	null	null	null
Sentence 7	بکەوە	O	null	I-ani: Inside of an animal's name	null
Sentence 8	ئەمڕۆ	B-tim	null	null	null
Sentence 8	گوڵەکان	O	null	I-bird: Inside of a bird's name	null
Sentence 8	ئاوبدەن	O	null	null	null
Sentence 9	سەیری	O	null	I-dat: Inside of a date	null
Sentence 9	ئاسمان	O	null	null	null
Sentence 9	دەکەیت؟	O	null	I-eve: Inside of an event	null
Sentence 10	ئای	O	null	null	null
Sentence 10	لەو	O	null	I-fruit: Inside of a fruit's name	null
Sentence 10	کارە	O	null	null	null
Sentence 10	پیرۆزە	O	null	I-geo: Inside of a geographic entity	null
Sentence 11	چ	O	null	null	null
Sentence 11	ڕۆژێکی	B- dat	null	I-gpe: Inside of a geopolitical entity	null
Sentence 11	خۆش	O	null	null	null
Sentence 11	بوو	O	null	I-nat: Inside of a natural phenomenon	null
Sentence 12	کەی	O	null	null	null
Sentence 12	دەگەڕێیتەوە؟	O	null	I-org: Inside of an organization	null
Sentence 13	مێوانەکانمان	O	null	null	null
Sentence 13	ڕۆیشتوون	O	null	I-per: Inside of a person's name	null
Sentence 14	جەژنی	B-eve	null	I-tim: Inside of a time expression	null
Sentence 15	پار	B-dat	null	I-vine: Inside of a vine's name	null
Sentence 15	خانووەکەم	O	null	E: End	null
Sentence 15	فرۆشت	O	null	Money	null
Sentence 16	شینیان	O	null	Number: num	null
Sentence 16	بوو	O	null	null	null
Sentence 17	ئاشتی	O	null	null	null
Sentence 17	هیوای	O	null	null	null
Sentence 17	ئێمەیە	O	null	null	null
Sentence 18	منداڵەکان	O	null	null	null
Sentence 18	فێری	O	null	null	null
Sentence 18	لێبوردەیی	O	null	null	null
Sentence 18	بکەن	O	null	null	null
Sentence 19	با	O	null	null	null
Sentence 19	ڕێک	O	null	null	null
Sentence 19	بکەوین	null	null	null	null
Sentence 20	ئاگری	B-nat	null	null	null
Sentence 20	نەورۆز	B-eve	null	null	null
Sentence 20	کراوەتەوە	O	null	null	null
Sentence 21	مێژوو	B-dat	null	null	null
Sentence 21	بۆ	O	null	null	null
Sentence 21	داهاتوو	B-tim	null	null	null
Sentence 21	بەسوودە	O	null	null	null
Sentence 22	ڕۆمانەکە	B-art	null	null	null
Sentence 22	هێشتا	O	null	null	null
Sentence 22	چاپ	O	null	null	null
Sentence 22	نەکراوە	O	null	null	null
Sentence 23	وەڵـامی	O	null	null	null
Sentence 23	داواکەم	O	null	null	null
Sentence 23	داناوە	O	null	null	null
Sentence 24	چیتر	O	null	null	null
Sentence 24	لە	O	null	null	null
Sentence 24	کار	O	null	null	null
Sentence 24	دوا	O	null	null	null
Sentence 24	مەکەوە	O	null	null	null
Sentence 25	وازتان	O	null	null	null
Sentence 25	لە	O	null	null	null
Sentence 25	جگەرە	O	null	null	null
Sentence 25	هێنابایە	O	null	null	null
Sentence 26	مووچەی	O	null	null	null
Sentence 26	ئەم	O	null	null	null
Sentence 26	مانگەی	B-dat	null	null	null
Sentence 26	وەرگرت	O	null	null	null
Sentence 27	ڕاستگۆیی	O	null	null	null
Sentence 27	ئاکارێکی	O	null	null	null
Sentence 27	بەرزە	O	null	null	null
Sentence 28	پردی	O	null	null	null
Sentence 28	گوندەکە	B-geo	null	null	null
Sentence 28	ڕوخاوە	O	null	null	null
Sentence 29	ئەمساڵ	B-tim	null	null	null
Sentence 29	وشکەساڵییە	B-nat	null	null	null
Sentence 30	سەوزە	B-fruit	null	null	null
Sentence 30	بۆ	O	null	null	null
Sentence 30	خوێن	O	null	null	null

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Text Tagging Dataset

Overview

This dataset is designed for natural language processing (NLP) tasks, particularly for sequence tagging and named entity recognition (NER). It contains tokens labeled with specific tags to identify entities, categories, or relationships. The dataset is suitable for training and evaluating NER models, token classification, or other similar tasks.

Metadata Summary

Metadata	Value
Number of Sentences	1,472
Number of Unique Tags	42
Total Number of Tokens	9,528

Tag Frequency Distribution

The dataset uses a variety of tags to annotate tokens. Below is a summary of the tags and their occurrences:

Name of Tags	Count
O	8,194
B-gpe	207
B-per	168
B-num	149
B-org	111
I-org	90
B-dat	74
I-per	67
B-nat	59
B-tim	52
B-art	44
B-ani	40
B-eve	38
I-num	27
B-geo	27
I-gpe	25
I-eve	22
I-dat	13
E-org	13
B-bird	10

Structure of the Dataset

The dataset consists of the following columns:

Sentence: Indicates the sentence to which the token belongs.
Word: The token in the sentence.
Tag: The tag assigned to the token, such as B-per, O, etc.

Sample Data

Sentence	Word	Tag
Sentence 1	تارا	B-per
Sentence 1	کتێبەکەی	O
Sentence 1	چاپ	O
Sentence 1	کرد	O
Sentence 2	مشک	B-ani

Usage

This dataset can be used for various NLP tasks, including:

Named Entity Recognition (NER): Training and evaluating models for entity extraction.
Token Classification: Identifying the roles or properties of tokens within a sequence.
Custom NLP Applications: Building systems requiring labeled text data.

Authors and Affiliations

Abdulhady Abas Abdullah
1. Artificial Intelligence and Innovation Centre, University of Kurdistan Hewler, Erbil, Iraq
  Email: [email protected]
2. Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil, KR, Iraq
  Email: [email protected]
Srwa Hasan Abdulla
1. Department of Horticulture, College of Agricultural Engineering Sciences, University of Sulaimani, Kurdistan Region, Iraq
  Email: [email protected]
Dalia Mohammad Toufiq

NER-RoBERTa

NER-RoBERTa is a model fine-tuned for Named Entity Recognition (NER) in low-resource languages. This repository contains the model/dataset along with all necessary files and instructions for use.

Citation

If you use this model/dataset in your research or projects, please cite our work as follows:

@article{abdullah2024ner,
  title={NER-RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages},
  author={Abdullah, Abdulhady Abas and Abdulla, Srwa Hasan and Toufiq, Dalia Mohammad and Maghdid, Halgurd S and Rashid, Tarik A and Farho, Pakshan F and Sabr, Shadan Sh and Taher, Akar H and Hamad, Darya S and Veisi, Hadi and others},
  journal={arXiv preprint arXiv:2412.15252},
  year={2024}
}

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Number of rows:

9,528