README.md

metadata

license: cc-by-nc-sa-4.0
language: fr

This is the skill dataset created by:

@article{beauchemin-2022-fijo,
    author = {Beauchemin, David and Laumonier, Julien and Ster, Yvan Le and Yassine, Marouane},
    journal = {Proceedings of the Canadian Conference on Artificial Intelligence},
    year = {2022},
    month = {may 27},
    note = {https://caiac.pubpub.org/pub/72bhunl6},
    publisher = {Canadian Artificial Intelligence Association (CAIAC)},
    title = {``{FIJO}'': a {French} {Insurance} {Soft} {Skill} {Detection} {Dataset}},
}

There are no document delimiters.

Number of samples (sentences):

• train: 399
• dev: 49
• test: 49

Sources:

• This dataset was collected as part of the multidisciplinary project Femmes face aux défis de la transformation numérique : une étude de cas dans le secteur des assurances (Women Facing the Challenges of Digital Transformation: A Case Study in the Insurance Sector) at Université Laval, funded by the Future Skills Centre. It includes job offers, in French, from insurance companies between 2009 and 2020.

Type of tags:

• BIO tags in tags_skill with fine-grained labels:
  • PENSEE: thoughts
  • RESULTATS: results
  • RELATIONNEL: relational
  • PERSONNEL: personal

Sample:

{
    "idx": 47, "tokens": ["-", "Sens", "de", "l\u2019analyse", "\u00e9coute", "et", "minutie", "de", "transcription", "des", "informations", "-", "Professionnalisme", "vu", "le", "recueillement", "d'informations", "souvent", "d\u00e9licates."], 
    "tags_skill": ["O", "B-PENSEE", "I-PENSEE", "I-PENSEE", "B-RELATIONNEL", "O", "B-PERSONNEL", "I-PERSONNEL", "I-PERSONNEL", "I-PERSONNEL", "I-PERSONNEL", "O", "B-PERSONNEL", "O", "O", "B-RELATIONNEL", "I-RELATIONNEL", "I-RELATIONNEL", "I-RELATIONNEL"]
}