jjzha/gnehm

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"]
}