CareerCorpus: A comprehensive dataset of annotated resumes.

Md Sagor Chowdhury, Adiba Fairooz Chowdhury, Ayesha Banu, Riad Hossain

Abstract read

In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Md Sagor ChowdhuryDepartment of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh.

Adiba Fairooz ChowdhuryDepartment of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh.

Ayesha BanuDepartment of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh.

Riad HossainDepartment of Computer Science and Engineering, East Delta University, Chattogram, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CareerCorpus dataset contains 302 annotated resumes collected from Kaggle (LiveCareer.com) and LinkedIn, covering six occupational categories: Teacher, Finance, Apparel, Accountant, Banking, and Research Assistant. The dataset supports multi-class classification for resume categorization. Each resume received dual annotations from domain experts with verified professional or academic backgrounds in their respective fields. Financial categories (Finance, Accountant, Banking) were annotated by professionals with 5+ years of accounting experience and ICMAB certifications, while specialized categories were annotated by industry practitioners and university lecturers. Data preprocessing involved HTML-to-text conversion using GPT-5, standardized formatting, removal of personally identifiable information (PII), duplicate elimination, and text normalization. Both annotations are preserved in the dataset to enable flexible consensus methods and annotation uncertainty analysis. Inter-annotator agreement varies by category: Apparel (

Indexed as

Automated recruitmentNatural language processingOpen access datasetResume classificationResume datasetText analysis

Identifiers

PMID41993079

DOI10.1016/j.dib.2026.112567

PMCPMC13080643

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.