Name: Real OR Fake Jobs
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Real OR Fake Jobs

[Real or Fake] : Fake Job Description Prediction

This dataset contains 18K job descriptions out of which about 800 are fake. The data consists of both textual information and meta-information about the jobs. The dataset can be used to create classification models which can learn the job descriptions which are fraudulent.

Data Dictionary

Coulmns	Description
job_id	Unique Job ID
title	The title of the job ad entry
location	Geographical location of the job ad
department	Corporate department (e.g. sales)
salary_range	Indicative salary range (e.g. $50,000-$60,000)
company_profile	A brief company description
description	The details description of the job ad
requirements	Enlisted requirements for the job opening
benefits	Enlisted offered benefits by the employer
telecommuting	True for telecommuting positions
has_company_logo	True if company logo is present
has_questions	True if screening questions are present
employment_type	Full-type, Part-time, Contract, etc
required_experience	Executive, Entry level, Intern, etc
required_education	Doctorate, Master’s Degree, Bachelor, etc
industry	Automotive, IT, Health care, Real estate, etc
function	Consulting, Engineering, Research, Sales etc
fraudulent	target - Classification attribute

Inspiration

The dataset is very valuable as it can be used to answer the following questions:

Create a classification model that uses text data features and meta-features and predict which job description are fraudulent or real.
Identify key traits/features (words, entities, phrases) of job descriptions which are fraudulent in nature.
Run a contextual embedding model to identify the most similar job descriptions.
Perform Exploratory Data Analysis on the dataset to identify interesting insights from this dataset.

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Tables

Fake Job Postings

@kaggle.whenamancodes_real_or_fake_jobs.fake_job_postings

23.03 MB
17,880 rows
18 columns

CREATE TABLE fake_job_postings (
  "job_id" BIGINT,
  "title" VARCHAR,
  "location" VARCHAR,
  "department" VARCHAR,
  "salary_range" VARCHAR,
  "company_profile" VARCHAR,
  "description" VARCHAR,
  "requirements" VARCHAR,
  "benefits" VARCHAR,
  "telecommuting" BIGINT,
  "has_company_logo" BIGINT,
  "has_questions" BIGINT,
  "employment_type" VARCHAR,
  "required_experience" VARCHAR,
  "required_education" VARCHAR,
  "industry" VARCHAR,
  "function" VARCHAR,
  "fraudulent" BIGINT
);