PMU-UD
Donated on 8/4/2018
The handwritten dataset was collected from 170 participants with a total of 5,180 numeral patterns. The dataset is named Prince Mohammad Bin Fahd University - Urdu/Arabic Database (PMU-UD).
Dataset Characteristics
Univariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
5180
# Features
9
Dataset Information
Additional Information
The dataset contains handwritten Urdu/Arabic numerals from 0 to 9
Has Missing Values?
No
Variable Information
The participants were asked to write the numerals from 0-9 five times each. Participants age ranged from 25-55 years old.
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Citation
Latif,Ghazanfar. (2018). PMU-UD. UCI Machine Learning Repository. https://doi.org/10.24432/C5XG84.
BibTeX
@misc{misc_pmu-ud_469,
author = {Latif,Ghazanfar},
title = {{PMU-UD}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5XG84}
}Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset pmu_ud = fetch_ucirepo(id=469) # data (as pandas dataframes) X = pmu_ud.data.features y = pmu_ud.data.targets # metadata print(pmu_ud.metadata) # variable information print(pmu_ud.variables)
Creators
Ghazanfar Latif
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.