metadata
license: cc-by-4.0
language: en
This is the SkillSpan dataset created by:
@inproceedings{zhang-etal-2022-skillspan,
title = "{S}kill{S}pan: Hard and Soft Skill Extraction from {E}nglish Job Postings",
author = "Zhang, Mike and
Jensen, Kristian and
Sonniks, Sif and
Plank, Barbara",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-main.366",
doi = "10.18653/v1/2022.naacl-main.366",
pages = "4962--4984"
}
There are document delimiters indicated by idx.
Number of samples (sentences):
- train: 4800
- dev: 3174
- test: 3569
Sources:
- Stackoverflow (tech)
- STAR (house)
Type of tags:
- Generic BIO tags with keys
tags_skillandtags_knowledge
Sample:
{
"idx": 53,
"tokens": ["Drive", "our", "IT", "compliance", "agenda", "and", "develop", "our", "processes"],
"tags_skill": ["B", "I", "I", "I", "I", "O", "B", "I", "I"],
"tags_knowledge": ["O", "O", "O", "O", "O", "O", "O", "O", "O"],
"source": "house"
}