Evidence map›Paper›PMID 36425990›Full record

ArticleData in brief2022

Pashtu Language Digits Dataset.

Rehan Ullah Khan, Khalil Khan

Abstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rehan Ullah KhanDepartment of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
Khalil KhanDepartment of Information Technology and Computer Science, Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pashtu is a language spoken by 50 million people in the world [1]. It is the national language of Afghanistan and also spoken in the two largest provinces of Pakistan. It is a language written in complex way by calligraphers. Instead of enormous literature and research work in Optical Character Recognition for other languages of the world, this language still requires a mature optical character recognition system [2], [3]. A real dataset of Pashtu digits having 50000 scanned images is introduced and made publically available in this paper. All the digits in the images are handwritten images written and collected from faculty members, staff, and students of the Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology, Pakistan. A total of 1250 candidates appeared in writing the text, out of which half are male and half female. The dataset will be publically available for research purposes.

Indexed as

Machine learningMachine Learning, MLNatural language processingNatural Language Processing, NLPOptical character recognitionPashtu Language Digits Dataset, PLDDText recognition

Identifiers

PMID36425990
PMCPMC9679712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.