Datasets:
metadata
license: cc-by-nc-sa-4.0
language: de
This is the skill dataset created by:
@inproceedings{gnehm-etal-2022-fine,
title = "Fine-Grained Extraction and Classification of Skill Requirements in {G}erman-Speaking Job Ads",
author = {Gnehm, Ann-sophie and
B{\"u}hlmann, Eva and
Buchs, Helen and
Clematide, Simon},
booktitle = "Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)",
month = nov,
year = "2022",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.nlpcss-1.2",
doi = "10.18653/v1/2022.nlpcss-1.2",
pages = "14--24",
}
There are document delimiters indicated by idx
.
Number of samples (sentences):
- train: 19889
- dev: 2332
- test: 2557
Sources:
- Swiss Job Market Monitor (SJMM): https://www.swissubase.ch/en/
Type of tags:
- BI(-ICT) and O tags with keys
tags_skill
Sample:
{
"idx": 198,
"tokens": ["-", "besitzen", "fundierte", "Anwenderkenntnisse", "in", "MS-Office"],
"tags_skill": ["O", "O", "O", "O", "O", "B-ICT"]
}