ESCO

JobHop v2: Large-scale career trajectory dataset extracted from 440K resumes via LLM pipeline

Researchers release JobHop v2, a dataset of 355,315 career trajectories extracted from ~440,000 pseudonymized multilingual resumes provided by VDAB, the Flemish Public Employment Service. The extraction pipeline uses reasoning-controlled LLM inference with a retry mechanism achieving 100% JSON parse rate, annotating trajectories with ESCO occupational codes, temporal information, and education attainment. The work addresses a gap in publicly available, authentic (non-synthesized) career trajectory data for workforce planning and labour market analysis. Dataset and code are publicly released.