metadata
license: cc-by-4.0
language: da
This is the Kompetencer dataset created by:
@inproceedings{zhang-etal-2022-kompetencer,
title = "Kompetencer: Fine-grained Skill Classification in {D}anish Job Postings via Distant Supervision and Transfer Learning",
author = "Zhang, Mike and
Jensen, Kristian N{\o}rgaard and
Plank, Barbara",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.46",
pages = "436--447",
}
There are document delimiters indicated by idx.
Number of samples (sentences):
- train: 778
- dev: 346
- test: 262
Sources:
- STAR (house)
Type of tags:
- Generic BIO tags with keys
tags_skillandtags_knowledge
Sample:
{
"idx": 1,
"tokens": ["Du", "skal", "s\u00e6tte", "dagsordenen", "v\u00e6re", "v\u00e6rdiskabende", "og", "levere", "skarpt", "fagligt", "og", "strategisk", "med-", "og", "modspil", "."],
"tags_skill": ["O", "O", "B", "I", "B", "I", "O", "B", "I", "I", "I", "I", "I", "I", "I", "I"],
"tags_knowledge": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"]
}