Publicly Available Datasets for English Resumes and CVs Analysis

Are you in search of publicly available datasets of English resumes and CVs for analysis? If so, you’ve come to the right place. In this guide, we will explore several notable datasets that are available for download and use. Whether you're a data scientist looking to train machine learning models or an HR professional seeking to enhance resume screening processes, these datasets can be invaluable resources.

Popular Public Datasets for Resume and CV Analysis

The Resume Dataset on Kaggle

The The Resume Dataset Kaggle contains a collection of resumes in various formats, making it a goldmine for training models on resume parsing and analysis. This dataset is widely recognized and can be used for a variety of purposes, from natural language processing (NLP) models to resume parsing algorithms.

Open Resumes Dataset

The Open Resumes Dataset is a dataset of resumes collected from various sources, designed for machine learning and NLP tasks. It provides a rich set of information that can be used to train and test models, making it an excellent resource for data scientists and researchers.

Resume Parser Dataset on GitHub

Available on GitHub, the Resume Parser Dataset is specifically aimed at training resume parsers and includes annotated resumes. This dataset is particularly useful for those looking to develop and test parsing algorithms.

The Resume Dataset by Data Science Society

The Resume Dataset by Data Science Society includes a variety of resumes and is useful for different data science applications. This dataset offers a diverse set of data points that can be leveraged for a wide range of analytical purposes.

Data from the European Data Portal

The European Data Portal occasionally releases datasets related to employment and resumes, which may include anonymized CV data. This dataset is particularly relevant for those studying employment trends and labor markets in Europe.

Creating Your Own Dataset: A DIY Approach

While the aforementioned datasets are valuable, there may be situations where you need a custom dataset tailored to your specific needs. In such cases, consider creating your own dataset by downloading resumes from websites that provide free access to their resume databases. One such website is Indeed.

Using Web Scraping

To obtain resumes from Indeed, you can either download them manually or write a simple web crawler to fetch the resumes you want. Web scraping tools like BeautifulSoup and Scrapy can help automate this process, ensuring that you can efficiently collect the data you need.

Final Notes

When utilizing these datasets, always ensure you check their licensing agreements and terms of use. Many of these datasets come with specific conditions, and failing to adhere to these terms can result in legal issues.

In conclusion, whether you prefer using pre-existing datasets or creating your own, there are numerous options available to help you analyze English resumes and CVs. These resources can be instrumental in enhancing your analysis and findings, leading to more informed decisions and improved outcomes in various fields.