A curated dataset of named entities extracted from Ghanaian news sources, compiled by the Ghana NLP Community.
Each record contains a named entity phrase found in Ghanaian news, along with its frequency count and a short human-readable description of what (or who) the entity refers to.
| Column | Type | Description |
|---|---|---|
phrase |
string | The named entity text as it appeared in the news |
count |
int | Number of times the entity was observed |
description |
string | A short description of the entity |
from datasets import load_dataset
ds = load_dataset("ghananlpcommunity/ghana-named-entities")
print(ds["train"][0])Entities were extracted from Ghanaian online news articles. The dataset is intended to support NLP research and applications focused on Ghanaian and West African contexts.
Creative Commons Attribution 4.0 International (CC BY 4.0)
This dataset was created and curated by the following members of the Ghana NLP Community:
| Name | |
|---|---|
| Kasuadana Sulemana Adams | Profile |
| Mich-Seth Owusu | Profile |
| Jonathan Asiamah | Profile |
| Emmanuel Saah | Profile |
| Gerhardt Datsomor | Profile |
If you use this dataset in your research or applications, please cite or acknowledge the Ghana NLP Community and its contributors:
@dataset{ghana_named_entities,
author = {Adams, Kasuadana Sulemana and Owusu, Mich-Seth and Asiamah, Jonathan and Saah, Emmanuel and Datsomor, Gerhardt},
title = {Ghana Named Entities},
year = {2024},
publisher = {Ghana NLP Community},
url = {https://huggingface.co/datasets/ghananlpcommunity/ghana-named-entities}
}