Improve dataset card: Update task categories, add links and sample usage (#2)

- Improve dataset card: Update task categories, add links and sample usage (73e6f5e702e9afb2e42e3cd3265e06abd6815b4e)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -3,25 +3,22 @@ license: cc-by-nc-sa-4.0
 size_categories:
 - 1K<n<10K
 task_categories:
-- visual-question-answering
-- object-detection
+- image-text-to-text
+- image-segmentation
+language:
+- en
+tags:
+- vqa
+- cultural-understanding
+- cultural
 configs:
-  - config_name: Image_List
-    data_files:
-      - split: test
-        path: image_data/Image_List.csv
+- config_name: Image_List
+  data_files:
+  - split: test
+    path: image_data/Image_List.csv
 ---
 
-<!--- <a href="" target="_blank">
-    <img alt="arXiv" src="https://upload.wikimedia.org/wikipedia/commons/b/bc/ArXiv_logo_2022.svg" height="20" />
-</a>
-<a href="https://seeingculture-benchmark.github.io/" target="_blank">
-    <img alt="Website" src="https://www.freepnglogos.com/uploads/logo-website-png/logo-website-world-wide-web-svg-png-icon-download-10.png" height="20" />
-</a>
-<a href="https://github.com/buraksatar/seeingculture-benchmark" style="display: inline-block; margin-right: 10px;">
-    <img alt="GitHub Code" src="https://images.seeklogo.com/logo-png/27/1/github-logo-png_seeklogo-273183.png" />
-</a>
---->
+[Paper](https://huggingface.co/papers/2509.16517) | [Project Page](https://seeingculture-benchmark.github.io/) | [Code](https://github.com/buraksatar/SeeingCulture)
 
 # Seeing Culture Benchmark (SCB)
 
@@ -45,8 +42,29 @@ See the project website for more information. https://seeingculture-benchmark.gi
 - image_data/Image_List.csv contains the dataset.
 - mcq_data/MCQ_List_no_ans.csv contains the MCQ questions.
 - mcq_data/MCQ_Avoid_List.csv contains the avoid list for MCQ generation. 
-See the [GitHub repository](https://github.com/buraksatar/seeingculture) for more details about MCQ generation.
+See the [GitHub repository](https://github.com/buraksatar/SeeingCulture) for more details about MCQ generation.
 
+# Sample Usage
+
+The GitHub repository provides an MCQ Generator. You can set it up and use it with the following commands:
+
+### Multiple Choice Question Generator Setup
+
+```bash
+$ source setup.sh
+```
+
+### Usage
+
+```bash
+$ source generate.sh
+```
+
+#### Output
+
+1. The output will be saved in the `./` directory in `questions_{timestamp}.jsonl` format.
+2. Please download `data.zip` and unpack to the same directory as the `generate.sh` file.
+3. You can visualize using the `visualizer.ipynb` file (please change the `JSON` file name accordingly).
 
 # Note: 
 
@@ -65,7 +83,6 @@ All annotations are released under the CC BY-NC-SA 4.0 license.
 
 If you are using this dataset, please cite our paper accepted by EMNLP 2025 Main Conference!
 
-The citation information will be available soon.
 ```
 @misc{satar2025seeingculturebenchmarkvisual,
       title={Seeing Culture: A Benchmark for Visual Reasoning and Grounding},