README.md

---
license: cc-by-nc-4.0
task_categories:
- question-answering
language:
- id
tags:
- MMLU
- exams
size_categories:
- 1K<n<10K
dataset_info: null
configs:
- config_name: all
  data_files:
  - split: test
    path: all/test.csv
  - split: dev
    path: all/dev.csv
- config_name: Tourism
  data_files:
  - split: test
    path: Tourism/test.csv
  - split: dev
    path: Tourism/dev.csv
- config_name: Teacher Competency Test
  data_files:
  - split: test
    path: Teacher Competency Test/test.csv
  - split: dev
    path: Teacher Competency Test/dev.csv
- config_name: Advocate
  data_files:
  - split: test
    path: Advocate/test.csv
  - split: dev
    path: Advocate/dev.csv
- config_name: Medical Doctor
  data_files:
  - split: test
    path: Medical Doctor/test.csv
  - split: dev
    path: Medical Doctor/dev.csv
- config_name: Sharia Life Insurance
  data_files:
  - split: test
    path: Sharia Life Insurance/test.csv
  - split: dev
    path: Sharia Life Insurance/dev.csv
- config_name: Nurse
  data_files:
  - split: test
    path: Nurse/test.csv
  - split: dev
    path: Nurse/dev.csv
- config_name: Clinical Psychology
  data_files:
  - split: test
    path: Clinical Psychology/test.csv
  - split: dev
    path: Clinical Psychology/dev.csv
- config_name: Life Insurance
  data_files:
  - split: test
    path: Life Insurance/test.csv
  - split: dev
    path: Life Insurance/dev.csv
- config_name: Certified Financial Planner
  data_files:
  - split: test
    path: Certified Financial Planner/test.csv
  - split: dev
    path: Certified Financial Planner/dev.csv
- config_name: Midwife
  data_files:
  - split: test
    path: Midwife/test.csv
  - split: dev
    path: Midwife/dev.csv
- config_name: Certified Public Accountant
  data_files:
  - split: test
    path: Certified Public Accountant/test.csv
  - split: dev
    path: Certified Public Accountant/dev.csv
- config_name: Certified Professional Management Accountant
  data_files:
  - split: test
    path: Certified Professional Management Accountant/test.csv
  - split: dev
    path: Certified Professional Management Accountant/dev.csv
- config_name: Pharmacist
  data_files:
  - split: test
    path: Pharmacist/test.csv
  - split: dev
    path: Pharmacist/dev.csv
- config_name: Office Administration
  data_files:
  - split: test
    path: Office Administration/test.csv
  - split: dev
    path: Office Administration/dev.csv
- config_name: Hospitality
  data_files:
  - split: test
    path: Hospitality/test.csv
  - split: dev
    path: Hospitality/dev.csv
- config_name: Broadcasting
  data_files:
  - split: test
    path: Broadcasting/test.csv
  - split: dev
    path: Broadcasting/dev.csv
- config_name: Graphic Design
  data_files:
  - split: test
    path: Graphic Design/test.csv
  - split: dev
    path: Graphic Design/dev.csv
- config_name: Police
  data_files:
  - split: test
    path: Police/test.csv
  - split: dev
    path: Police/dev.csv
- config_name: Certified Indonesian Tax Accountant
  data_files:
  - split: test
    path: Certified Indonesian Tax Accountant/test.csv
  - split: dev
    path: Certified Indonesian Tax Accountant/dev.csv
- config_name: Risk Management
  data_files:
  - split: test
    path: Risk Management/test.csv
  - split: dev
    path: Risk Management/dev.csv
- config_name: Culinary Art
  data_files:
  - split: test
    path: Cullinary Art/test.csv
  - split: dev
    path: Cullinary Art/dev.csv
- config_name: Fashion Design
  data_files:
  - split: test
    path: Fashion Design/test.csv
  - split: dev
    path: Fashion Design/dev.csv
---

<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer2.png" style="width: 80%;" id="title-icon">  </p>

---

## Introduction

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.
<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>

## Data
Each question in the dataset is a multiple-choice question with up to 5 choices and only one choice as the correct answer. 

```
import datasets
data = datasets.load_dataset('indolem/IndoCareer', 'all')
```

## Examples

These questions are written in Indonesian.

<p align="left"> 
    <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_example.png" style="width: 40%;" id="title-icon"> 
  
</p>

## Evaluation

We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:

<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>


## Citation
Please find out paper 📄<a href="https://arxiv.org/pdf/2409.08564" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>
```
@inproceedings{koto2025cracking,
  title={Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia},
  author={"Fajri Koto"},
  booktitle={Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Industry Track},
  year={2025}
}
```