---
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"]
}
```