Add task category and links to paper and GitHub

Hi! I'm Niels from the Hugging Face team.

This PR improves the dataset card by:
- Adding the `zero-shot-image-classification` task category to the metadata.
- Providing links to the [WARM-CAT paper](https://huggingface.co/papers/2602.23114) and its [official GitHub repository](https://github.com/xud-yan/WARM-CAT) for better discoverability and context.
- Minor formatting improvements for readability.

README.md

@@ -1,10 +1,15 @@
 ---
 license: cc-by-4.0
+task_categories:
+- zero-shot-image-classification
 ---
+
 # MIT-States*
 
+[Paper](https://huggingface.co/papers/2602.23114) | [Code](https://github.com/xud-yan/WARM-CAT)
+
 ## Dataset Introduction
-MIT-States* dataset is a low-noise dataset in compositional zero-shot learning (CZSL), which is proposed in the paper "Warm-Cat: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning". Since original MIT-States datset suffer from substantial noise, with about 70% of its labels being incorrect, we performed a new round of annotation using INternVL-3-8b and filtration for refinement.
+MIT-States* dataset is a low-noise dataset in compositional zero-shot learning (CZSL), which is proposed in the paper "[Warm-Cat: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning](https://huggingface.co/papers/2602.23114)". Since the original MIT-States dataset suffers from substantial noise, with about 70% of its labels being incorrect, the authors performed a new round of annotation using InternVL-3-8b and filtration for refinement.
 
 ## Dataset Statistics
 - **Total Attributes**: 141
@@ -12,18 +17,18 @@ MIT-States* dataset is a low-noise dataset in compositional zero-shot learning (
 - **Total Compositions**: 1444
 - **Total Images**: 14079
 
-## Uasge
-Download data/MIT-States_star.zip and uncompress it. Load it using dataset.py from code project of any CZSL model. 
+## Usage
+Download `data/MIT-States_star.zip` and uncompress it. Load it using `dataset.py` from the code project of any CZSL model. 
 
 ## Acknowledgement
 
-This dataset is built upon MIT-States and relabeld by InternVL-3-8b. Thanks for their open sourse.
+This dataset is built upon MIT-States and relabeled by InternVL-3-8b. Thanks for their open source contribution.
 
 ## Citation
 
-If you use this dataset in your research, please cite (this paper has not been released yet):
+If you use this dataset in your research, please cite:
 
-```
+```bibtex
 @inproceedings{WARMCAT,
   title     = {Warm-Cat: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning},
   author    = {Yan, Xudong and Feng, Songhe and Wang, Jiaxin and Su, Xin and Yi, Jin},