add readme

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# [APTv2 Dataset](https://github.com/ViTAE-Transformer/APTv2)
+
+**APTv2** is a large-scale benchmark for **animal pose estimation and tracking** across 30 species.
+It provides high-quality **keypoint** and **tracking annotations** for 84,611 animal instances spanning **2,749 video clips** (41,235 frames total).
+
+### 📦 Dataset Overview
+
+* **Total videos:** 2,749
+* **Frames per clip:** 15
+* **Total frames:** 41,235
+* **Annotated instances:** 84,611
+* **Species:** 30
+* **Tracks:**
+
+  1. Single-frame pose estimation
+  2. Low-data generalization
+  3. Pose tracking
+
+### 🧠 Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@misc{yang2023aptv2,
+  title={APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond},
+  author={Yuxiang Yang and Yingqi Deng and Yufei Xu and Jing Zhang},
+  year={2023},
+  eprint={2312.15612},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV}
+}
+```
+
+### 📚 Reference
+
+Original paper: [APTv2 on arXiv](https://arxiv.org/abs/2312.15612)
+
+Code: [Github](https://github.com/ViTAE-Transformer/APTv2)