Update README.md

README.md

@@ -25,3 +25,93 @@ configs:
   - split: train
     path: data/train-*
 ---
+---
+dataset_info:
+  features:
+  - name: Source
+    dtype: string
+  - name: Sentence
+    dtype: string
+  - name: Topic
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 10696
+    num_examples: 100
+  download_size: 6725
+  dataset_size: 10696
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# Dataset Card for "CIDAR-MCQ-100"
+
+# CIDAR-MCQ-100
+
+CIDAR-MCQ-100 contains **100** multiple-choice questions and answers about the Arabic culture. 
+
+## 📚 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>
+
+## 📋 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. 
+
+## 📁 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')
+```
+
+## 📄 Sample From The Dataset:
+
+ **Question**: حدد حيوان مشهور في المنطقة
+
+ **A**: الجمل
+ **B**: اللاما
+ **C**: الكانغرو
+ **D**: الدب القطبي
+ **answer**: A
+
+## 🔑 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}
+}
+```