https://github.com/aida-ugent/occupation_coding_datasets
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (1.9%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: aida-ugent
- License: cc0-1.0
- Default Branch: main
- Size: 2 MB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
README.md
Occupation coding datasets
- GenEasy: A collection of 500 synthetic job listings linked to select ESCO occupation codes, crafted using GPT-4.
- GenHard: Identical to the above, but with job titles diverging from the textual descriptors of their respective codes.
- Real_indeed: A set of 100 genuine job listings sourced from Indeed, annotated manually.
Each dataset consists of columns for ID, job title, description, label, and other potential supplementary data.
Owner
- Name: Ghent University Artificial Intelligence & Data Analytics Group
- Login: aida-ugent
- Kind: organization
- Email: tijl.debie@ugent.be
- Location: Ghent
- Website: aida.ugent.be
- Repositories: 36
- Profile: https://github.com/aida-ugent
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Last Year
- Watch event: 1
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Last synced: over 1 year ago
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Past Year
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