Hugging Face's logo

Datasets:
abdulhade
/
Kurdish_NameEntityRecognition

Modalities:
Text
Formats:
csv
Size:
1K - 10K
Libraries:
Datasets
pandas
Dataset card Viewer Files Community

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

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:

  1. Named Entity Recognition (NER): Training and evaluating models for entity extraction.
  2. Token Classification: Identifying the roles or properties of tokens within a sequence.
  3. 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: abdulhady.abas@ukh.edu.krd
    2. Computer Science and Engineering Department, University of Kurdistan Hewler, Erbil, KR, Iraq
      Email: abdulhady.abas@ukh.edu.krd

  • Srwa Hasan Abdulla

    1. Department of Horticulture, College of Agricultural Engineering Sciences, University of Sulaimani, Kurdistan Region, Iraq
      Email: sirwa.abdulla@univsul.edu.iq

  • Dalia Mohammad Toufiq

Citation

If you use this dataset in your research or project, please provide proper attribution.

Contact

For questions or suggestions regarding this dataset, please contact:

Downloads last month
3