Improve dataset card: Update task categories, add links and sample usage

This PR enhances the dataset card for the Seeing Culture Benchmark (SCB) by:

- **Updating Metadata**:
- Changing `task_categories` from `visual-question-answering` and `object-detection` to `image-text-to-text` and `image-segmentation` to more accurately reflect the dataset's focus on VQA and cultural artifact segmentation.
- Adding `language: en` and descriptive `tags` (`vqa`, `cultural-understanding`, `cultural`) for improved discoverability.
- **Adding Top-level Links**:
- Inserting Markdown links to the paper ([https://huggingface.co/papers/2509.16517](https://huggingface.co/papers/2509.16517)), project page ([https://seeingculture-benchmark.github.io/](https://seeingculture-benchmark.github.io/)), and GitHub repository ([https://github.com/buraksatar/SeeingCulture](https://github.com/buraksatar/SeeingCulture)) at the top of the README for quick access.
- Removing the outdated and commented-out HTML badge block.
- **Adding Sample Usage**:
- Including a "Sample Usage" section with code snippets from the GitHub README to guide users on how to set up and use the MCQ Generator.
- **Ensuring Link Consistency**:
- Correcting the GitHub link in the "Loading the dataset" section to `https://github.com/buraksatar/SeeingCulture`.
- **Updating Citation Information**:
- Modifying the introductory text for the citation to reflect that the BibTeX information is already available below. The arXiv URL in the BibTeX itself remains unchanged as per guidelines.

These changes significantly improve the clarity, navigability, and completeness of the dataset card.

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},