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---
language:
- ar
license: apache-2.0
size_categories:
- n<1K
task_categories:
- multiple-choice
pretty_name: 'CIDAR-MCQ-100 '
dataset_info:
features:
- name: Question
dtype: string
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: answer
dtype: string
splits:
- name: test
num_bytes: 18899
num_examples: 100
download_size: 13287
dataset_size: 18899
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "CIDAR-MCQ-100"
# CIDAR-MCQ-100
CIDAR-MCQ-100 contains **100** multiple-choice questions and answers about the Arabic culture.
## ๐ Datasets Summary
<table>
<tr>
<th>Name</th>
<th>Explanation</th>
</tr>
<tr>
<td><a href=https://huggingface.co./datasets/arbml/cidar>CIDAR</a></t>
<td>10,000 instructions and responses in Arabic</td>
</tr>
<tr>
<td><a href=https://huggingface.co./datasets/arbml/cidar-eval-100>CIDAR-EVAL-100</a></t>
<td>100 instructions to evaluate LLMs on cultural relevance</td>
</tr>
<tr>
<td><a href=https://huggingface.co./datasets/arbml/cidar-mcq-100><b>CIDAR-MCQ-100</b></a></t>
<td>100 Multiple choice questions and answers to evaluate LLMs on cultural relevance </td>
</tr>
</table>
<div width="30px" align="center">
| Category | CIDAR-EVAL-100 | <a href=https://huggingface.co./datasets/arbml/cidar-mcq-100><b>CIDAR-MCQ-100</b></a>|
|----------|:-------------:|:------:|
|Food&Drinks | 14 | 8 |
|Names | 14 | 8 |
|Animals | 2 | 4 |
|Language | 10 | 20 |
|Jokes&Puzzles | 3 | 7 |
|Religion | 5 | 10 |
|Business | 6 | 7 |
|Cloths | 4 | 5 |
|Science | 3 | 4 |
|Sports&Games | 4 | 2 |
|Tradition | 4 | 10 |
|Weather | 4 | 2 |
|Geography | 7 | 8 |
|General | 4 | 3 |
|Fonts | 5 | 2 |
|Literature | 10 | 2 |
|Plants | 3 | 0 |
<i>Total</i> | 100 | 100 |
</div>
## ๐ Dataset Structure
- `Question(str)`: Question about the Arabic culture.
- `A(str)`: First choice.
- `B(str)`: Second choice.
- `C(str)`: Third choice.
- `D(str)`: Fourth choice.
- `answer(str)`: The correct choice from A,B,C, and D.
## ๐ Loading The Dataset
You can download the dataset directly from HuggingFace or use the following code:
```python
from datasets import load_dataset
cidar = load_dataset('arbml/CIDAR-MCQ-100')
```
## ๐ Sample From The Dataset:
**Question**: ุญุฏุฏ ุญููุงู ู
ุดููุฑ ูู ุงูู
ูุทูุฉ
**A**: ุงูุฌู
ู
**B**: ุงููุงู
ุง
**C**: ุงููุงูุบุฑู
**D**: ุงูุฏุจ ุงููุทุจู
**answer**: A
## ๐ License
The dataset is licensed under **Apache-2.0**. [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0).
## Citation
```
@misc{alyafeai2024cidar,
title={{CIDAR: Culturally Relevant Instruction Dataset For Arabic}},
author={Zaid Alyafeai and Khalid Almubarak and Ahmed Ashraf and Deema Alnuhait and Saied Alshahrani and Gubran A. Q. Abdulrahman and Gamil Ahmed and Qais Gawah and Zead Saleh and Mustafa Ghaleb and Yousef Ali and Maged S. Al-Shaibani},
year={2024},
eprint={2402.03177},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |