---
dataset_info:
  features:
  - name: job_title
    dtype: string
  - name: city
    dtype: string
  - name: function
    dtype: string
  - name: sector
    dtype: string
  - name: Expérience requise
    dtype: string
  - name: Région
    dtype: string
  - name: Niveau d'étude et formation
    dtype: string
  - name: Type de contrat
    dtype: string
  - name: Télétravail
    dtype: string
  - name: soft_skills
    dtype: string
  - name: Entreprise
    dtype: string
  - name: Poste
    dtype: string
  - name: Profil recherché
    dtype: string
  - name: Adresse
    dtype: string
  - name: recruiter_id
    dtype: string
  - name: job_offer_id
    dtype: int64
  - name: Poste avec Management
    dtype: string
  - name: Qualités requises pour réussir dans ce rôle
    dtype: string
  - name: Ce que vous pouvez attendre de nous
    dtype: string
  - name: pub_date
    dtype: string
  - name: exp_date
    dtype: string
  - name: pub_date_day
    dtype: int64
  - name: pub_date_month
    dtype: int64
  - name: pub_date_year
    dtype: int64
  - name: exp_date_day
    dtype: int64
  - name: exp_date_month
    dtype: int64
  - name: exp_date_year
    dtype: int64
  - name: locations
    dtype: string
  splits:
  - name: train
    num_bytes: 297022334
    num_examples: 102641
  download_size: 71557440
  dataset_size: 297022334
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
#  Data Description

The data is scraped from rekrute.com, which is a Moroccan job website. The available data contains job postings from 2005 to 2022.
The data contains multiple fields which pertain to job offers (e.g. job title, soft skills, job description, employer, sector, city).

# Supported Tasks
This dataset was used to create a knowledge graph and for a descriptive analysis of the Moroccan job market.

# Languages
The data is primarily ion french, however there are job postings in English and Arabic.

# Publications

This data was used in the following publications:

@article{fettach2024jobedkg,
  title={JobEdKG: An uncertain knowledge graph-based approach for recommending online courses and predicting in-demand skills based on career choices},
  author={Fettach, Yousra and Bahaj, Adil and Ghogho, Mounir},
  journal={Engineering Applications of Artificial Intelligence},
  volume={131},
  pages={107779},
  year={2024},
  publisher={Elsevier}
}