word
stringlengths 1
6
|
---|
da |
allah |
ya |
a |
ba |
ta |
na |
wannan |
ne |
kuma |
su |
sai |
mu |
yan |
ko |
mai |
dai |
shi |
ka |
yayi |
to |
amma |
ga |
haka |
yi |
daga |
ma |
duk |
kai |
masu |
wani |
sun |
zai |
sa |
ina |
nan |
idan |
wanda |
an |
ce |
ke |
suka |
cikin |
wa |
daya |
kasa |
iya |
yake |
domin |
in |
kan |
yana |
aka |
za |
me |
don |
har |
ake |
gaba |
akwai |
yadda |
abin |
Naija-Stopwords
Naija-Stopwords is a part of the Naija-Senti project. It is a list of collected stopwords from the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá.
Languages
4 most spoken Nigerian languages
- Hausa (hau)
- Igbo (ibo)
- Nigerian Pidgin (pcm)
- Yoruba (yor)
Dataset Structure
Data Instances
List of stopwords instances in each of the four language.
{
"word": "string"
}
How to use it
from datasets import load_dataset
# you can load specific languages (e.g., Hausa). This download train, validation and test sets.
ds = load_dataset("HausaNLP/Naija-Stopwords", "hau")
Additional Information
Dataset Curators
- Shamsuddeen Hassan Muhammad
- Idris Abdulmumin
- Ibrahim Said Ahmad
- Bello Shehu Bello
Licensing Information
This Naija-Stopwords dataset is licensed under a Creative Commons Attribution BY-NC-SA 4.0 International License
Citation Information
@inproceedings{muhammad-etal-2022-naijasenti,
title = "{N}aija{S}enti: A {N}igerian {T}witter Sentiment Corpus for Multilingual Sentiment Analysis",
author = "Muhammad, Shamsuddeen Hassan and
Adelani, David Ifeoluwa and
Ruder, Sebastian and
Ahmad, Ibrahim Sa{'}id and
Abdulmumin, Idris and
Bello, Bello Shehu and
Choudhury, Monojit and
Emezue, Chris Chinenye and
Abdullahi, Saheed Salahudeen and
Aremu, Anuoluwapo and
Jorge, Al{\'\i}pio and
Brazdil, Pavel",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.63",
pages = "590--602",
}
Contributions
This work was carried out with support from Lacuna Fund, an initiative co-founded by The Rockefeller Foundation, Google.org, and Canada’s International Development Research Centre. The views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.
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Homepage:
github.com
Repository:
GitHub
Paper:
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis
Leaderboard:
N/A
Point of Contact:
Shamsuddeen Hassan Muhammad
Size of downloaded dataset files:
950 Bytes
Size of the auto-converted Parquet files:
4.36 kB
Number of rows:
217