Add dataset card and link to paper/code

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

This pull request improves the dataset card for the TARQ dataset by:
- Adding the `text-ranking` task category to the metadata.
- Linking the dataset to the associated paper: [Equip Pre-ranking with Target Attention by Residual Quantization](https://huggingface.co/papers/2509.16931).
- Providing a link to the official GitHub repository.

This helps researchers easily find and cite the relevant work.

README.md

@@ -1,3 +1,16 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-ranking
+---
+
+# TARQ Dataset
+
+This dataset is associated with the paper [Equip Pre-ranking with Target Attention by Residual Quantization](https://huggingface.co/papers/2509.16931).
+
+TARQ is a novel pre-ranking framework designed for industrial recommendation systems. It bridges the gap between efficiency and effectiveness by bringing the modeling power of Target Attention (TA) into the latency-critical pre-ranking stage through Residual Quantization.
+
+## Resources
+
+- **Paper:** [Equip Pre-ranking with Target Attention by Residual Quantization](https://huggingface.co/papers/2509.16931)
+- **Code:** [https://github.com/zyody/tarq_sigir2026](https://github.com/zyody/tarq_sigir2026)