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JobHop v2 dataset released with 355K career trajectories from LLM-extracted resumes

By PulseAugur Editorial · [2 sources] ·

Researchers have released JobHop v2, an expanded dataset of career trajectories derived from over 440,000 multilingual resumes. This dataset, built using LLM extraction from resumes provided by VDAB, the Flemish Public Employment Service, includes 355,315 career paths with detailed annotations such as ESCO occupational codes and temporal information. The project aims to support workforce planning and job recommendation by offering a richer, more accessible resource for labor market analysis. AI

IMPACT Enhances LLM capabilities in extracting structured data from unstructured text, potentially improving job recommendation and workforce analysis tools.

RANK_REASON Publication of a new dataset and associated research paper on arXiv.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

JobHop v2 dataset released with 355K career trajectories from LLM-extracted resumes

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Iman Johary, Guillaume Bied, Alexandru C. Mara, Tijl De Bie ·

    JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes

    arXiv:2607.11715v1 Announce Type: new Abstract: Large-scale, richly annotated career trajectory data underpins workforce planning, job recommendation, and labour market analysis, yet publicly available datasets are either small, closed to independent use, or built from pre-standa…

  2. arXiv cs.CL TIER_1 English(EN) · Tijl De Bie ·

    JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes

    Large-scale, richly annotated career trajectory data underpins workforce planning, job recommendation, and labour market analysis, yet publicly available datasets are either small, closed to independent use, or built from pre-standardized occupational codes with LLM-synthesized r…

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