JobHop v2: Large-scale career trajectory dataset from unstructured resumes

Researchers have released JobHop v2, an improved version of the publicly available JobHop dataset designed for workforce planning and labor market analysis. Constructed via end-to-end large language model extraction from approximately 440,000 pseudonymized multilingual resumes provided by VDAB, the Flemish Public Employment Service, the dataset contains 355,315 career trajectories.

• The release includes annotations with ESCO occupational codes, quarter-level temporal information, and normalized five-level education attainment.
• A redesigned extraction pipeline uses reasoning-controlled LLM inference with a retry mechanism to achieve a 100% JSON parse rate.
• Evaluation against three complementary annotation baselines shows the best extractor trails the inter-annotator agreement ceiling by only 1.1-2.7 percentage points.

The dataset and code are publicly released to support reproducible career-trajectory research.