Datasets:
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README.md
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- 1K<n<10K
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dataset_info: null
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configs:
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- config_name: Tourism
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data_files:
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- split: test
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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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<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_pie.png" style="width: 40%;" id="title-icon"> </p>
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## Data
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```
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import datasets
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data = datasets.load_dataset('indolem/IndoCareer')
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```
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## Examples
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- 1K<n<10K
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dataset_info: null
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configs:
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- config_name: all
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data_files:
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- split: test
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path: all/test.csv
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- split: dev
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path: all/dev.csv
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- config_name: Tourism
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data_files:
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- split: test
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## Introduction
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IndoCareer is 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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<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_pie.png" style="width: 40%;" id="title-icon"> </p>
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## Data
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```
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import datasets
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data = datasets.load_dataset('indolem/IndoCareer', 'all')
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```
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## Examples
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