This pull request significantly enhances the dataset card for `Wakals/CoVT-Dataset` by:
- Adding relevant `task_categories` (`image-segmentation`, `depth-estimation`, `image-to-image`, `image-feature-extraction`, `image-text-to-text`), `language: en`, and `tags` (`vlm`, `multimodal`, `visual-reasoning`, `chain-of-thought`) to the metadata for better discoverability.
- Providing a clear overview of the dataset's purpose, derived from the paper's abstract.
- Including direct links to the associated paper ([Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens](https://huggingface.co/papers/2511.19418)), the project page (https://wakalsprojectpage.github.io/comt-website), and the code repository (https://github.com/Wakals/CoMT).
- Adding a "Dataset Composition" section, including details and an image from the GitHub README.
- Incorporating a "Sample Usage" section with a basic Python snippet to demonstrate how to load and inspect the datas…