mfhumam/CV-LinkedIn

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Dataset Overview

• Ready to use for training modern VLMs like Qwen2-VL or Florence-2
• Perfect for experimenting with end-to-end structural text and JSON generation
• Can be used for spatial document AI, layout parsing, and NER/OCR research
• Natively tracks nested career history and long descriptions without truncation
• Built as a solid foundation to power automated form-filling applications

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Sample Dataset Structure

{
    "image_source": "local-files:///curriculum_vitae.png",
    "profile_data": {
        "NAME": {
            "text": "Muhammad Fawwaz Humam",
            "bbox": [10.5, 5.2, 35.0, 4.1]
        },
        "DOMISILI": {
            "text": "Bekasi, Indonesia",
            "bbox": [10.5, 9.3, 20.1, 2.5]
        },
        "SUMMARY": {
            "text": "A passionate Full-stack Web Developer and Machine Learning Engineer experienced in building scalable applications using Next.js and designing robust deep learning workflows...",
            "bbox": [5.2, 15.0, 89.5, 12.4]
        },
        "SKILL": [
            { "text": "React", "bbox": [5.2, 30.0, 8.0, 2.0] },
            { "text": "Python", "bbox": [14.0, 30.0, 9.5, 2.0] }
        ]
    },
    "experience_hierarchy": [
        {
            "company_name": "PT Kode Kolektif Indonesia",
            "company_bbox": [5.2, 45.0, 40.0, 3.0],
            "roles": [
                {
                    "role_title": "Project Manager Intern",
                    "role_bbox": [5.2, 49.0, 30.0, 2.5],
                    "period": {
                        "text": "Oct 2025 - Apr 2026",
                        "bbox": [75.0, 49.0, 20.0, 2.5]
                    },
                    "descriptions": [
                        { "text": "Managed cross-functional developer teams for digital platform production.", "bbox": [5.2, 53.0, 80.0, 4.0] }
                    ]
                }
            ]
        }
    ]
}
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