metadata
license: cc-by-4.0
language: en
This is the skill dataset created by:
@inproceedings{green-etal-2022-development,
title = "Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions",
author = "Green, Thomas and
Maynard, Diana and
Lin, Chenghua",
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-1.128",
pages = "1201--1208",
}
There are no document delimiters, task is on the sentence-level.
Number of samples (sentences):
- train: 8669
- dev: 964
- test: 335
Sources:
- TotalJobs (UK): https://www.kaggle.com/datasets/airiddha/trainrev1
Type of tags:
- Generic BIO tags with key
tags_skill - Finer grained labels of BIO tags are
SKILL: Tasks that can be performed, or attributes and abilities (including soft skills) that enable people to perform tasks.QUALIFICATION: Official certifications obtained through taking a course or passing an exam or appraisal.EXPERIENCE: Lengths of time relating to a position or skill.OCCUPATION: Job titles, including abbreviations and acronyms.DOMAIN: Areas of industry in which someone might have knowledge or experience.
- Also has part-of-speech tags, indicated by
pos.
Sample:
{
"idx": 959,
"tokens": ["negotiating", "and", "commercial", "skills", "Conscientious", "and", "thorough", "by", "nature"],
"tags_skill": ["B-SKILL", "I-SKILL", "I-SKILL", "I-SKILL", "I-SKILL", "O", "B-SKILL", "O", "O"],
"pos": ["NN", "CC", "JJ", "NNS", "JJ", "CC", "JJ", "IN", "NN"]
}