Add pipeline tag and citation to model card

Hi! I'm Niels from the community science team at Hugging Face. This PR improves the model card for SVI-Bench by adding the `video-text-to-text` pipeline tag to the metadata, which helps users discover the model when filtering by task on the Hub. I've also added the official BibTeX citation and organized the resource links for better accessibility.

README.md

@@ -1,14 +1,33 @@
 ---
 license: apache-2.0
+pipeline_tag: video-text-to-text
 ---
 
 # SVI-Bench
 
 **SVI-Bench** is a benchmark for **Strategic Video Intelligence**: evaluating whether multimodal models can move from seeing what happens in complex multi-agent sports video to explaining why it happens, simulating alternatives, and autonomously integrating evidence for higher-level analysis.
 
-## Where to go
+It leverages team sports (basketball, soccer, and hockey) as a dynamic microworld to evaluate four cognitive pillars: Perception, Reasoning, Simulation, and Agency.
 
-- 📚 **Dataset:** [huggingface.co/datasets/MVP-Group/SVI-Bench](https://huggingface.co/datasets/MVP-Group/SVI-Bench)
+## Resources
+
+- 📚 **Dataset:** [MVP-Group/SVI-Bench](https://huggingface.co/datasets/MVP-Group/SVI-Bench)
 - 🌐 **Project page:** [svi-bench.github.io](https://svi-bench.github.io/)
 - 📄 **Paper (arXiv):** [arxiv.org/abs/2605.31529](https://arxiv.org/abs/2605.31529)
 - 💻 **Code:** [github.com/Texaser/SVI-Bench](https://github.com/Texaser/SVI-Bench)
+
+## Citation
+
+If you use SVI-Bench in your research, please cite the following paper:
+
+```bibtex
+@misc{pan2026svibenchdynamicmicroworldstrategic,
+      title={SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence}, 
+      author={Yulu Pan and Han Yi and Seongsu Ha and Md Mohaiminul Islam and Benjamin Zhang and Lorenzo Torresani and Gedas Bertasius},
+      year={2026},
+      eprint={2605.31529},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2605.31529}, 
+}
+```