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  path: Fashion Design/dev.csv
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- <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer2.png" style="width: 60%;" id="title-icon"> </p>
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- ## NAACL 2025 (Industry Track)
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- ### Fajri Koto (MBZUAI)
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  ## Introduction
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  a dataset comprising 8,834 multiple-choice questions designed to evaluate performance in vocational and professional certification exams across various fields. With a focus on Indonesia, IndoCareer provides rich local contexts, spanning six key sectors: (1) healthcare, (2) insurance and finance, (3) creative and design, (4) tourism and hospitality, (5) education and training, and (6) law.
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  We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:
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- <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_result.png" style="width: 50%;" id="title-icon"> </p>
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  ## Citation
 
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  path: Fashion Design/dev.csv
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+ <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer2.png" style="width: 80%;" id="title-icon"> </p>
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  ## Introduction
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  a dataset comprising 8,834 multiple-choice questions designed to evaluate performance in vocational and professional certification exams across various fields. With a focus on Indonesia, IndoCareer provides rich local contexts, spanning six key sectors: (1) healthcare, (2) insurance and finance, (3) creative and design, (4) tourism and hospitality, (5) education and training, and (6) law.
 
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  We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:
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+ <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_result.png" style="width: 70%;" id="title-icon"> </p>
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  ## Citation