Update README.md

README.md

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   download_size: 808842875
   dataset_size: 3876305595
 ---
+
+# USAJOBS Coded 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).
+
+In this *coded* version, we presented the structured features assigned to each of the postings (by `usajobsControlNumber`), as produced by the [JAAT](https://github.com/Job-Ad-Research-at-QSB-LUC/JAAT) tool
+
+## 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`).
+
+### Data Fields
+Each split contains the following fields:
+
+* `usajobsControlNumber`: Unique identifier code for the USAJOBS job posting.
+* `wage_min`: Minimum salary detected by `WageExtract`.
+* `wage_max`: Maximum salary detected by `WageExtract`.
+* `wage_freq`: Frequency of the wage (e.g., hourly, annually) by `WageExtract`.
+* `title_code`: O*NET occupation code (`TitleMatch`).
+* `title_score`: Confidence score of the above.
+* `title_value`: Extracted numerical value of the title, based on seniority and experience (`TitleMatch`).
+* `title_features`: Categorical features of the title, if any (`TitleMatch`).
+* `flesch_kincaid`: Readability score measuring the complexity of the job posting text.
+* `CitizenshipReq`: Boolean flag indicating if United States citizenship is mandatory.
+* `GovContract`: Boolean flag indicating if the position involves government contract work.
+* `VisaExclude`: Boolean flag indicating if specific visa types are barred from applying.
+* `VisaInclude`: Boolean flag indicating if visa sponsorship options are explicitly included.
+* `WorkAuthReq`: Boolean flag indicating if valid proof of work authorization is requested.
+* `driverslicense`: Boolean flag indicating if a valid driver's license is required.
+* `ind_contractor`: Boolean flag indicating if the job operates as an independent contractor role.
+* `proflicenses`: Boolean flag indicating if specialized professional licenses are required.
+* `wfh`: Boolean flag indicating if the position offers work-from-home or remote options.
+* `yesunion`: Boolean flag indicating if the position belongs to a labor union.
+* `tasks`: Text string capturing the coded O*NET tasks, extracted by `TaskMatch`.
+* `skills`: Text string capturing the ESCO skills extracted by `SkillMatch`.
+* `concepts`: Text string of the custom-extracted concepts extracted with `ConceptSearch`.
+* `ai_codes`: AI taxonomy codes extracted by `AIMatch` (beta).
+* `ai_matches`: How many AI codes were extracted.
+* `ai_score`: Overall AI score, following a custom scoring scheme.
+* `ai_selection_score`: Extraction score representing confidence that the statement is AI-related (;-delimited list of scores).
+* `ai_match_score`: Same as the above, but now for matching confidence.
+* `ai_score_v2`: Updated version 2 of our custom AI scoring.
+* `ai_strict_score`: AI score representing only frontier AI work.
+* `ai_lenient_score`: AI score that is more lenient in the defintion of "AI".
+
+## 
+
+If you find this dataset useful or utilize it for your work, please consider citing our working paper:
+
+```
+@article{meisenbacher2025extracting,
+  title={Extracting O* NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data},
+  author={Meisenbacher, Stephen and Nestorov, Svetlozar and Norlander, Peter},
+  year={2025}
+}
+```