USAJOBS Dataset (2017-01 to 2026-03)

Dataset Description

The USAJOBS Dataset is a comprehensive collection of federal job postings from January 2017 through March 2026. This dataset includes full-text job descriptions, and structured metadata (job title and employer).

This corpus is designed for researchers studying labor market trends, natural language processing (NLP) in the HR domain, historical shifts in federal hiring priorities, and more!

Dataset Structure

Splits

This dataset is organized by month to allow for easy time-series analysis without requiring the user to download the entire multi-year corpus.

• Monthly Splits: Format YYYY_MM (e.g., 2017_01, 2025_12).
• Sample Split: A sample split is provided for quick prototyping and testing.

Data Fields

Each split contains the following fields:

• usajobsControlNumber: (string) Unique identifier for the posting.
• text: (string) The full-text job description.
• title: (string) The posted job title.

Usage

You can load a specific month using the split parameter:

from datasets import load_dataset

# Load a specific month
dataset = load_dataset("loyoladatamining/usajobs", "postings", split="2023_05")

# Load the sample for testing
sample = load_dataset("loyoladatamining/usajobs", "sample", split="sample")

Citation

If you find this dataset useful or utilize it for your work, please consider citing the original data curators:

@article{Resh2025,
  author = "William Resh and Keunyoung Lee and Yi Ming",
  title = "{U.S. Federal Civil Position Job Postings (2018-2023)}",
  year = "2025",
  month = "2",
  url = "https://figshare.com/articles/dataset/U_S_Federal_Civil_Position_Job_Postings_2018-2023_/28509314",
  doi = "10.6084/m9.figshare.28509314.v5"
}