---
license: mit
configs:
- config_name: postings
  data_files:
  - split: '2026_03'
    path: postings/2026_03-*
  - split: '2026_02'
    path: postings/2026_02-*
  - split: '2026_01'
    path: postings/2026_01-*
  - split: '2025_12'
    path: postings/2025_12-*
  - split: '2025_11'
    path: postings/2025_11-*
  - split: '2025_10'
    path: postings/2025_10-*
  - split: '2025_09'
    path: postings/2025_09-*
  - split: '2025_08'
    path: postings/2025_08-*
  - split: '2025_07'
    path: postings/2025_07-*
  - split: '2025_06'
    path: postings/2025_06-*
  - split: '2025_05'
    path: postings/2025_05-*
  - split: '2025_04'
    path: postings/2025_04-*
  - split: '2025_03'
    path: postings/2025_03-*
  - split: '2025_02'
    path: postings/2025_02-*
  - split: '2025_01'
    path: postings/2025_01-*
  - split: '2024_12'
    path: postings/2024_12-*
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    path: postings/2024_11-*
  - split: '2024_10'
    path: postings/2024_10-*
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    path: postings/2024_09-*
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    path: postings/2024_08-*
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    path: postings/2024_07-*
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    path: postings/2024_06-*
  - split: '2024_05'
    path: postings/2024_05-*
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    path: postings/2024_04-*
  - split: '2024_03'
    path: postings/2024_03-*
  - split: '2024_02'
    path: postings/2024_02-*
  - split: '2024_01'
    path: postings/2024_01-*
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    path: postings/2023_12-*
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    path: postings/2021_06-*
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    path: postings/2021_05-*
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    path: postings/2021_04-*
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    path: postings/2021_03-*
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    path: postings/2021_02-*
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    path: postings/2021_01-*
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    path: postings/2020_12-*
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    path: postings/2020_11-*
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    path: postings/2020_10-*
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    path: postings/2020_09-*
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    path: postings/2020_08-*
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    path: postings/2020_07-*
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    path: postings/2020_06-*
  - split: '2020_05'
    path: postings/2020_05-*
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    path: postings/2020_04-*
  - split: '2020_03'
    path: postings/2020_03-*
  - split: '2020_02'
    path: postings/2020_02-*
  - split: '2020_01'
    path: postings/2020_01-*
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    path: postings/2019_12-*
  - split: '2019_11'
    path: postings/2019_11-*
  - split: '2019_10'
    path: postings/2019_10-*
  - split: '2019_09'
    path: postings/2019_09-*
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    path: postings/2019_08-*
  - split: '2019_07'
    path: postings/2019_07-*
  - split: '2019_06'
    path: postings/2019_06-*
  - split: '2019_05'
    path: postings/2019_05-*
  - split: '2019_04'
    path: postings/2019_04-*
  - split: '2019_03'
    path: postings/2019_03-*
  - split: '2019_02'
    path: postings/2019_02-*
  - split: '2019_01'
    path: postings/2019_01-*
  - split: '2018_12'
    path: postings/2018_12-*
  - split: '2018_11'
    path: postings/2018_11-*
  - split: '2018_10'
    path: postings/2018_10-*
  - split: '2018_09'
    path: postings/2018_09-*
  - split: '2018_08'
    path: postings/2018_08-*
  - split: '2018_07'
    path: postings/2018_07-*
  - split: '2018_06'
    path: postings/2018_06-*
  - split: '2018_05'
    path: postings/2018_05-*
  - split: '2018_04'
    path: postings/2018_04-*
  - split: '2018_03'
    path: postings/2018_03-*
  - split: '2018_02'
    path: postings/2018_02-*
  - split: '2018_01'
    path: postings/2018_01-*
  - split: '2017_12'
    path: postings/2017_12-*
  - split: '2017_11'
    path: postings/2017_11-*
  - split: '2017_10'
    path: postings/2017_10-*
  - split: '2017_09'
    path: postings/2017_09-*
  - split: '2017_08'
    path: postings/2017_08-*
  - split: '2017_07'
    path: postings/2017_07-*
  - split: '2017_06'
    path: postings/2017_06-*
  - split: '2017_05'
    path: postings/2017_05-*
  - split: '2017_04'
    path: postings/2017_04-*
  - split: '2017_03'
    path: postings/2017_03-*
  - split: '2017_02'
    path: postings/2017_02-*
  - split: '2017_01'
    path: postings/2017_01-*
dataset_info:
  config_name: postings
  features:
  - name: usajobsControlNumber
    dtype: string
  - name: wage_min
    dtype: string
  - name: wage_max
    dtype: string
  - name: wage_freq
    dtype: string
  - name: title_code
    dtype: string
  - name: title_score
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  - name: title_value
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  - name: title_features
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  - name: flesch_kincaid
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  - name: CitizenshipReq
    dtype: bool
  - name: GovContract
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  - name: VisaExclude
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  - name: VisaInclude
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  - name: WorkAuthReq
    dtype: bool
  - name: driverslicense
    dtype: bool
  - name: ind_contractor
    dtype: bool
  - name: proflicenses
    dtype: bool
  - name: wfh
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  - name: yesunion
    dtype: bool
  - name: tasks
    dtype: string
  - name: skills
    dtype: string
  - name: concepts
    dtype: string
  - name: ai_codes
    dtype: string
  - name: ai_matches
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  - name: ai_score
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  - name: ai_selection_score
    dtype: string
  - name: ai_match_score
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  - name: ai_score_v2
    dtype: float32
  - name: ai_strict_score
    dtype: float32
  - name: ai_lenient_score
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---

# 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 [JAAT](https://github.com/Job-Ad-Research-at-QSB-LUC/JAAT).

## 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}
}
```