---
annotations_creators:
- machine-generated
language_creators:
- machine-translated
language:
- tu
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- mmlu
- arabicmmlu
- DarijaMMlu
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
dataset_info:
- config_name: accounting
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    dtype: string
  - name: context
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: subject
    dtype: string
  - name: subject_darija
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  - name: source
    dtype: string
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- config_name: arabic_language
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    dtype: string
  - name: context
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: subject
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  - name: subject_darija
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  - name: source
    dtype: string
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- config_name: arabic_language_(general)
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  - name: context
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  - name: choices
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- config_name: arabic_language_(grammar)
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  - name: context
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  - name: choices
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- config_name: biology
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  - name: choices
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  - name: answer
    dtype: int64
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  - name: source
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- config_name: civics
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  - name: choices
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- config_name: computer_science
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- config_name: driving_test
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- config_name: economics
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- config_name: general_knowledge
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- config_name: geography
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- config_name: global_facts
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- config_name: high_school_european_history
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- config_name: high_school_geography
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- config_name: high_school_government_and_politics
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    dtype: string
  - name: context
    dtype: string
  - name: choices
    sequence: string
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- config_name: high_school_psychology
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- config_name: high_school_statistics
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- config_name: high_school_world_history
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- config_name: history
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- config_name: human_aging
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- config_name: international_law
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- config_name: islamic_studies
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- config_name: jurisprudence
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- config_name: law
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- config_name: logical_fallacies
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- config_name: management
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- config_name: management_ar
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- config_name: marketing
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- config_name: math
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- config_name: moral_disputes
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- config_name: moral_scenarios
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- config_name: natural_science
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- config_name: nutrition
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- config_name: philosophy
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- config_name: philosophy_ar
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- config_name: physics
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- config_name: political_science
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- config_name: professional_law
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- config_name: professional_psychology
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- config_name: public_relations
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- config_name: security_studies
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- config_name: social_science
  features:
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    sequence: string
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- config_name: sociology
  features:
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    dtype: string
  - name: context
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: subject
    dtype: string
  - name: subject_darija
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: test
    num_bytes: 102564
    num_examples: 201
  - name: dev
    num_bytes: 2553
    num_examples: 5
  download_size: 57047
  dataset_size: 105117
- config_name: world_religions
  features:
  - name: question
    dtype: string
  - name: context
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: subject
    dtype: string
  - name: subject_darija
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: test
    num_bytes: 46118
    num_examples: 171
  - name: dev
    num_bytes: 1215
    num_examples: 5
  download_size: 27597
  dataset_size: 47333
configs:
- config_name: accounting
  data_files:
  - split: test
    path: accounting/test-*
  - split: dev
    path: accounting/dev-*
- config_name: arabic_language
  data_files:
  - split: test
    path: arabic_language/test-*
  - split: dev
    path: arabic_language/dev-*
- config_name: arabic_language_(general)
  data_files:
  - split: test
    path: arabic_language_(general)/test-*
  - split: dev
    path: arabic_language_(general)/dev-*
- config_name: arabic_language_(grammar)
  data_files:
  - split: test
    path: arabic_language_(grammar)/test-*
  - split: dev
    path: arabic_language_(grammar)/dev-*
- config_name: biology
  data_files:
  - split: test
    path: biology/test-*
  - split: dev
    path: biology/dev-*
- config_name: civics
  data_files:
  - split: test
    path: civics/test-*
  - split: dev
    path: civics/dev-*
- config_name: computer_science
  data_files:
  - split: test
    path: computer_science/test-*
  - split: dev
    path: computer_science/dev-*
- config_name: driving_test
  data_files:
  - split: test
    path: driving_test/test-*
  - split: dev
    path: driving_test/dev-*
- config_name: economics
  data_files:
  - split: test
    path: economics/test-*
  - split: dev
    path: economics/dev-*
- config_name: general_knowledge
  data_files:
  - split: test
    path: general_knowledge/test-*
  - split: dev
    path: general_knowledge/dev-*
- config_name: geography
  data_files:
  - split: test
    path: geography/test-*
  - split: dev
    path: geography/dev-*
- config_name: global_facts
  data_files:
  - split: test
    path: global_facts/test-*
  - split: dev
    path: global_facts/dev-*
- config_name: high_school_european_history
  data_files:
  - split: test
    path: high_school_european_history/test-*
  - split: dev
    path: high_school_european_history/dev-*
- config_name: high_school_geography
  data_files:
  - split: test
    path: high_school_geography/test-*
  - split: dev
    path: high_school_geography/dev-*
- config_name: high_school_government_and_politics
  data_files:
  - split: test
    path: high_school_government_and_politics/test-*
  - split: dev
    path: high_school_government_and_politics/dev-*
- config_name: high_school_psychology
  data_files:
  - split: test
    path: high_school_psychology/test-*
  - split: dev
    path: high_school_psychology/dev-*
- config_name: high_school_statistics
  data_files:
  - split: test
    path: high_school_statistics/test-*
  - split: dev
    path: high_school_statistics/dev-*
- config_name: high_school_world_history
  data_files:
  - split: test
    path: high_school_world_history/test-*
  - split: dev
    path: high_school_world_history/dev-*
- config_name: history
  data_files:
  - split: test
    path: history/test-*
  - split: dev
    path: history/dev-*
- config_name: human_aging
  data_files:
  - split: test
    path: human_aging/test-*
  - split: dev
    path: human_aging/dev-*
- config_name: international_law
  data_files:
  - split: test
    path: international_law/test-*
  - split: dev
    path: international_law/dev-*
- config_name: islamic_studies
  data_files:
  - split: test
    path: islamic_studies/test-*
  - split: dev
    path: islamic_studies/dev-*
- config_name: jurisprudence
  data_files:
  - split: test
    path: jurisprudence/test-*
  - split: dev
    path: jurisprudence/dev-*
- config_name: law
  data_files:
  - split: test
    path: law/test-*
  - split: dev
    path: law/dev-*
- config_name: logical_fallacies
  data_files:
  - split: test
    path: logical_fallacies/test-*
  - split: dev
    path: logical_fallacies/dev-*
- config_name: management
  data_files:
  - split: test
    path: management/test-*
  - split: dev
    path: management/dev-*
- config_name: management_ar
  data_files:
  - split: test
    path: management_ar/test-*
  - split: dev
    path: management_ar/dev-*
- config_name: marketing
  data_files:
  - split: test
    path: marketing/test-*
  - split: dev
    path: marketing/dev-*
- config_name: math
  data_files:
  - split: test
    path: math/test-*
  - split: dev
    path: math/dev-*
- config_name: moral_disputes
  data_files:
  - split: test
    path: moral_disputes/test-*
  - split: dev
    path: moral_disputes/dev-*
- config_name: moral_scenarios
  data_files:
  - split: test
    path: moral_scenarios/test-*
  - split: dev
    path: moral_scenarios/dev-*
- config_name: natural_science
  data_files:
  - split: test
    path: natural_science/test-*
  - split: dev
    path: natural_science/dev-*
- config_name: nutrition
  data_files:
  - split: test
    path: nutrition/test-*
  - split: dev
    path: nutrition/dev-*
- config_name: philosophy
  data_files:
  - split: test
    path: philosophy/test-*
  - split: dev
    path: philosophy/dev-*
- config_name: philosophy_ar
  data_files:
  - split: test
    path: philosophy_ar/test-*
  - split: dev
    path: philosophy_ar/dev-*
- config_name: physics
  data_files:
  - split: test
    path: physics/test-*
  - split: dev
    path: physics/dev-*
- config_name: political_science
  data_files:
  - split: test
    path: political_science/test-*
  - split: dev
    path: political_science/dev-*
- config_name: professional_law
  data_files:
  - split: test
    path: professional_law/test-*
  - split: dev
    path: professional_law/dev-*
- config_name: professional_psychology
  data_files:
  - split: test
    path: professional_psychology/test-*
  - split: dev
    path: professional_psychology/dev-*
- config_name: public_relations
  data_files:
  - split: test
    path: public_relations/test-*
  - split: dev
    path: public_relations/dev-*
- config_name: security_studies
  data_files:
  - split: test
    path: security_studies/test-*
  - split: dev
    path: security_studies/dev-*
- config_name: social_science
  data_files:
  - split: test
    path: social_science/test-*
  - split: dev
    path: social_science/dev-*
- config_name: sociology
  data_files:
  - split: test
    path: sociology/test-*
  - split: dev
    path: sociology/dev-*
- config_name: world_religions
  data_files:
  - split: test
    path: world_religions/test-*
  - split: dev
    path: world_religions/dev-*
license: cc-by-sa-4.0
---
## Dataset Description

- **Homepage:** [https://hf.co/datasets/linagora/MMLU_tunisian](https://hf.co/datasets/linagora/MMLU_tunisian)
- **Repository:** [https://github.com/linagora-labs/lighteval_tunisian_derja](https://github.com/linagora-labs/lighteval_tunisian_derja)
  

### Dataset Summary

MMLU_tunisian is an evaluation benchmark designed to assess large language models' (LLM) performance in Tunisian Derja, a variety of Arabic. It consists of 22,027 multiple-choice questions, translated from selected subsets of the Massive Multitask Language Understanding (MMLU), ArabicMMLU and DarijaMMLU benchmarks to measure model performance on 44 subjects in Darija.

### Supported Tasks

- **Task Category:** Multiple-choice question answering
- **Task:** Answering multiple-choice questions in Derja


### Languages

The dataset is available in Tunisian Arabic (Derja).

## Dataset Structure

The dataset consists of 44 folders covering the 44 subjects included in the dataset.

### Data Instances

Each data instance of each subject contains a multiple-choice question with 2 to 5 answer options. The structure includes:
- **question**: The multiple-choice question in Darija.
- **context**: Additional contextual information that may be useful for answering the question.
- **choices**: A list of possible answer options.
- **answer**: The correct answer to the question (0, 1, 2, 3, or 4).
- **subject**: The subject category for the question.
- **subject_darija**: The subject category in Darija.
- **source**: The source from which the question was derived (either MMLU or ArabicMMLU).

Example:
```
{
    "question": "العضوية اللي تمثلها فلسطين في الأمم المتحدة.",
    "context": "",
    "choices": [
      "عضو",
      "مراقب",
      "دائم",      
    ],
    "answer": 1,
    "subject": "geography",
    "subject_darija": "الجغرافيا",
    "source": "arabic_mmlu",
    "split": "test"
} 
```

### Data Splits

The dataset consists of two main splits: test and development.

## Dataset Creation

### Curation Rationale

The dataset was created to address the need for high-quality, culturally relevant benchmarks for evaluating language models in Tunisian Derja. By translating and adapting established benchmarks, it allows for consistent evaluation across languages and domains.

### Source Data

#### Initial Data Collection and Normalization

The data was derived from two major benchmarks:
- **Massive Multitask Language Understanding (MMLU)**: A large benchmark for multiple-choice question answering.
- **ArabicMMLU**: An Arabic version of MMLU.
- **DarijaMMLU**: An Maroccan Arabic Darija version of MMLU. 
The selected subsets were translated into Tunisian Derja using facebook/nllb-200-3.3B and CODA normalisation.


### Personal and Sensitive Information

The dataset does not contain personal or sensitive information.

## Considerations for Using the Data

### Social Impact of Dataset

This dataset promotes the development of language models capable of understanding and responding in Tunisian Derja, contributing to the advancement of NLP for underrepresented languages.

### Limitations

- The dataset is limited to the topics and domains covered by MMLU and ArabicMMLU.

## Additional Information

### Dataset Curators

 **Linagora**

### Citation Information
```bibtex
@model{linagora2025LLM-tn,
  author = {Wajdi Ghezaiel and Jean-Pierre Lorré},
  title = {Labess-7b-chat:Tunisian Derja LLM},
  year = {2025},
  month = {January},  
  url = {https://huggingface.co/datasets/Wajdi1976/Labess-7b-chat}
}

```


```
@article{hendryckstest2021,
    title={Measuring Massive Multitask Language Understanding},
    author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt},
    journal={Proceedings of the International Conference on Learning Representations (ICLR)},
    year={2021}
}
```

```
@article{koto2024arabicmmlu,
  title={Arabicmmlu: Assessing massive multitask language understanding in arabic},
  author={Koto, Fajri and Li, Haonan and Shatnawi, Sara and Doughman, Jad and Sadallah, Abdelrahman Boda and Alraeesi, Aisha and Almubarak, Khalid and Alyafeai, Zaid and Sengupta, Neha and Shehata, Shady and others},
  journal={arXiv preprint arXiv:2402.12840},
  year={2024}
}
```
```
@article{shang2024atlaschatadaptinglargelanguage,
      title={Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect}, 
      author={Guokan Shang and Hadi Abdine and Yousef Khoubrane and Amr Mohamed and Yassine Abbahaddou and Sofiane Ennadir and Imane Momayiz and Xuguang Ren and Eric Moulines and Preslav Nakov and Michalis Vazirgiannis and Eric Xing},
      year={2024},
      eprint={2409.17912},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.17912}, 
}
```