Replication files for: "Occupational models from 42 million unstructured job postings"

A data resource, derived with natural-language processing techniques from over 42 million unstructured job postings in the National Labor Exchange, that empirically models the associations between occupation codes, skill keywords, job titles, and job descriptions in the United States during the years 2019 and 2021.

This version of the data corresponds with the python package sockit v0.3.0 (https://github.com/ripl-org/sockit/releases/tag/v0.3.0) and sockit-data v0.3.0 (https://github.com/ripl-org/sockit-data/releases/tag/v0.3.0).