Evidence map›Paper›PMID 39188909›Full record

ArticleData in brief2024

Shomikoron: Dataset to discover equations from Bangla Mathematical text.

Tanjim Taharat Aurpa, Kazi Noshin Fariha, Kawser Hossain

Abstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

3 authors.

Tanjim Taharat AurpaDepartment of Data Science, Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh.
Kazi Noshin FarihaInternational University of Business Agriculture and Technology, Bangladesh.
Kawser HossainInternational University of Business Agriculture and Technology, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equation Recognition is a mathematical task of identifying equations, which has significance in developing different mathematical systems. In this paper, we introduce a novel Bangla mathematical equation dataset comprising 3430 observations aimed at advancing mathematical Equation Recognition in the Bangla language. To the best of our knowledge, no such dataset exists that was developed to recognize equations from the text. Each entry in the dataset includes a mathematical statement and the corresponding equation. This resource can significantly support research in mathematical Equation Recognition, including the identification of common mathematical operations (such as addition, subtraction, multiplication, division, and roots) and numerical values. With minor adjustments, researchers can also explore combinations of these findings. The dataset is raw and conveniently structured in CSV format, with two columns: "Text" and "Equation," facilitating easy handling for various deep learning and machine learning tasks.

Indexed as

Bangla Mathematical TaskBangla NLPDeep transformersEquation Recognition

Identifiers

PMID39188909
PMCPMC11345577

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.