azrai99/job-dataset
Dataset Card for Dataset Name JobStreet Job Postings Dataset Dataset Details Dataset Description This dataset compiles a comprehensive range of job listings from JobStreet, offering a detailed view of the current employment landscape across various industries in Malaysia. It includes key features such as unique job IDs, titles, company names, locations, job roles, categories, subcategories, job types, salaries, and detailed descriptions. The… See the full description on the dataset page: https://huggingface.co/datasets/azrai99/job-dataset.
Dataset Card for Dataset Name
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JobStreet Job Postings Dataset
Dataset Details
Dataset Description
This dataset compiles a comprehensive range of job listings from JobStreet, offering a detailed view of the current employment landscape across various industries in Malaysia. It includes key features such as unique job IDs, titles, company names, locations, job roles, categories, subcategories, job types, salaries, and detailed descriptions. The motivation behind creating and sharing this dataset is to provide actionable insights for researchers, job seekers, and organizations interested in understanding job market trends and dynamics.
The data is scheduled to be updated weekly from the output of a web scraping script.
- Curated by: [Azrai Mahadan]
- Language(s) (NLP): English
- License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Dataset Sources
- Repository: JobStreet Job Postings Dataset
Uses
Direct Use
This dataset is suitable for various applications, including:
- Job market analysis
- Research on employment trends in Malaysia
- Machine learning model training for job recommendation systems
- Business intelligence for companies looking to understand hiring practices
Out-of-Scope Use
This dataset should not be used for:
- Malicious applications or purposes that exploit job seekers
- Applications that require real-time data accuracy, as the dataset is updated weekly
Dataset Structure
Dataset Creation
Curation Rationale
The dataset was created to provide a transparent and accessible source of job postings, aiding in employment research and analysis within Malaysia.
Source Data
Data Collection and Processing
Data was collected through a web scraping script that aggregates job postings from JobStreet. The data is filtered to remove duplicates and irrelevant postings. The fields were normalized for consistency, ensuring standardized formatting across job titles, descriptions, and salary information.
Who are the source data producers?
The source data is produced by various companies that list job postings on JobStreet, covering multiple sectors and industries in Malaysia.
Annotations
No additional annotations have been made to the dataset at this time.
Personal and Sensitive Information
The dataset does not contain personally identifiable information (PII) or sensitive data about job applicants.
Bias, Risks, and Limitations
While the dataset aims to be comprehensive, it may not capture every job posting available, leading to potential biases in job market representation. The job listings are also subject to changes based on market demands, which may not be reflected immediately in the dataset.
Recommendations
Users should be aware of the limitations of the dataset, especially regarding potential biases and the dynamic nature of job postings. It is recommended to use the dataset in conjunction with other sources for a more holistic view of the job market.
Citation
If you use this dataset in your work, please cite it as follows:
BibTeX:
@misc{jobstreet_dataset, title={JobStreet Job Postings Dataset}, author={Mohamad Azrai bin Mahadan}, year={2024}, url={https://huggingface.co/datasets/azrai99/job-dataset} }
APA:
Mohamad Azrai bin Mahadan(Telekom Malaysia) (2024). JobStreet Job Postings Dataset. https://huggingface.co/datasets/azrai99/job-dataset.
Glossary
- Job ID: A unique identifier assigned to each job posting.
- Employment Type: Refers to the nature of the employment contract (e.g., Full-time, Part-time, Contract).
More Information
For further information about the dataset or inquiries, please contact email.
Dataset Card Authors
[Mohamad Azrai bin Mahadan (Telekom Malaysia)]
