Improve dataset card: Add paper link, project page, task category, and tags

README.md

@@ -1,6 +1,26 @@
 ---
 license: apache-2.0
+task_categories:
+  - robotics
+tags:
+  - uav
+  - drone
+  - swarm
+  - long-horizon
+  - wildlife-conservation
+  - autonomous-flight
+  - lidar
+  - rgb
 ---
+
+# U2UData-2: A Scalable Swarm UAVs Autonomous Flight Dataset for Long-horizon Tasks
+
+[Paper](https://huggingface.co/papers/2509.00055) | [Project Page](https://fengtt42.github.io/U2UData-2/)
+
+This repository contains U2UData-2, the first large-scale swarm UAV autonomous flight dataset for Long-Horizon (LH) tasks, and a scalable platform for data collection and algorithm verification. It addresses the limitations of existing methods by providing data for complex, real-world LH scenarios, which require handling long-term dependencies and dynamic goal shifts. The dataset is captured by 15 UAVs in autonomous collaborative flights for LH tasks, comprising 12 scenes, 720 traces, and 120 hours of data. It includes 4.32 million LiDAR frames, 12.96 million RGB frames, and environmental values such as brightness, temperature, humidity, smoke, and airflow, covering all flight routes. U2UData-2 also introduces an LH task for wildlife conservation.
+
+---
+
 ## Dataset Size
 Since the entire dataset is **3.6T** in total, we only upload the dataset for one scenario, which is **252G** in total. 
 
@@ -13,3 +33,14 @@ If you need the full dataset, you can send an email to obtain the Baidu Cloud li
 PPM is a binary image format. If you need PNG format, we provide conversion code, which you can download and convert by yourself.
 
 I have full parameter information for each trajectory. If you need other parameter information, such as IMU, detailed drone parameters, etc., you can contact me by email at any time.
+
+## Citation
+
+```bibtex
+@inproceedings{feng2025u2udata2scalableswarmuavs,
+title={U2UData-2: A Scalable Swarm UAVs Autonomous Flight Dataset for Long-horizon Tasks},
+author={Tongtong Feng and Xin Wang and Feilin Han and Leping Zhang and Wenwu Zhu},
+year={2025},
+url={https://arxiv.org/abs/2509.00055}
+}
+```