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--- |
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license: cc-by-nc-sa-4.0 |
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language: fr |
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--- |
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This is the skill dataset created by: |
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``` |
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@article{beauchemin-2022-fijo, |
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author = {Beauchemin, David and Laumonier, Julien and Ster, Yvan Le and Yassine, Marouane}, |
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journal = {Proceedings of the Canadian Conference on Artificial Intelligence}, |
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year = {2022}, |
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month = {may 27}, |
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note = {https://caiac.pubpub.org/pub/72bhunl6}, |
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publisher = {Canadian Artificial Intelligence Association (CAIAC)}, |
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title = {``{FIJO}'': a {French} {Insurance} {Soft} {Skill} {Detection} {Dataset}}, |
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} |
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``` |
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There are no document delimiters. |
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Number of samples (sentences): |
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- train: 399 |
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- dev: 49 |
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- test: 49 |
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Sources: |
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- 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. |
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Type of tags: |
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- BIO tags in `tags_skill` with fine-grained labels: |
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- PENSEE: thoughts |
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- RESULTATS: results |
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- RELATIONNEL: relational |
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- PERSONNEL: personal |
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Sample: |
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``` |
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{ |
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"idx": 47, "tokens": ["-", "Sens", "de", "l\u2019analyse", "\u00e9coute", "et", "minutie", "de", "transcription", "des", "informations", "-", "Professionnalisme", "vu", "le", "recueillement", "d'informations", "souvent", "d\u00e9licates."], |
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"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"] |
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} |
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``` |
