Datasetpublic

gplsi/fake_job_postings_balanced_en

🧠 BALANCED_FAKE_JOB_POSTINGS_EN Dataset 📘 Overview This dataset is a balanced English version of the original Fake Job Postings dataset from Kaggle: Real or Fake? Fake Job Posting Prediction. It contains 1,730 job postings, equally divided between fraudulent (fake) and non-fraudulent (real) listings. All text fields remain in English, preserving the semantic meaning and structure of the original dataset. Only balancing was performed — no translation or… See the full description on the dataset page: https://huggingface.co/datasets/gplsi/fake_job_postings_balanced_en.

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Dataset Card

🧠 BALANCEDFAKEJOBPOSTINGSEN Dataset

📘 Overview

This dataset is a balanced English version of the original Fake Job Postings dataset from Kaggle: Real or Fake? Fake Job Posting Prediction.

It contains 1,730 job postings, equally divided between fraudulent (fake) and non-fraudulent (real) listings. All text fields remain in English, preserving the semantic meaning and structure of the original dataset. Only balancing was performed — no translation or additional modification to the text content.

📊 Dataset Summary

Feature	Description
Total Rows	1,730
Fraudulent (1)	865
Non-Fraudulent (0)	865
Language	English
Columns	18

🧩 Dataset Details

🔹 Source Dataset

—Original: Fake Job Posting Prediction (Kaggle)
—License: CC0: Public Domain (as per original Kaggle dataset)
—Modifications:

—Dataset balanced to include 50% fraudulent and 50% non-fraudulent samples.
—All textual fields preserved in their original English form.
—All structural and semantic information retained from the original dataset.

🧱 Columns Description

Column	Description
`title`	Job title of the posting
`department`	Department or division for the role
`company_profile`	Overview or background of the company
`description`	Full job description
`requirements`	Skills, qualifications, and experience required
`benefits`	Perks and benefits offered
`employment_type`	Type of employment (Full-time, Part-time, Contract, etc.)
`required_experience`	Level of experience required
`required_education`	Educational qualifications required
`industry`	Industry sector
`function`	Job function (e.g., Sales, Engineering, etc.)
`job_id`	Unique identifier for each job posting
`location`	Geographical location of the job
`salary_range`	Salary range offered (if available)
`telecommuting`	Boolean flag (1 if telecommuting is allowed, else 0)
`has_company_logo`	Boolean flag (1 if company logo is present, else 0)
`has_questions`	Boolean flag (1 if job posting asks screening questions)
`fraudulent`	Target variable (1 = Fake job posting, 0 = Real job posting)

💰 Funding

This work is funded by the Ministerio para la Transformación Digital y de la Función Pública, co-financed by the EU – NextGenerationEU, within the framework of the project Desarrollo de Modelos ALIA.

License

This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence.