Add README with link to EmbodiedCity/ANWM.code

README.md

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+---
+license: apache-2.0
+task_categories:
+  - robotics
+  - reinforcement-learning
+tags:
+  - aerial-navigation
+  - world-model
+  - embodied-ai
+  - uav
+---
+
+# ANWM-Dataset
+
+Training / evaluation trajectories for **ANWM** (Aerial Navigation World Model),
+released with the paper
+[Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space](https://arxiv.org/abs/2512.21887).
+
+- **Code**: [https://github.com/EmbodiedCity/ANWM.code](https://github.com/EmbodiedCity/ANWM.code)
+- **Model**: [EmbodiedCity/ANWM](https://huggingface.co/EmbodiedCity/ANWM)
+
+## Contents
+
+Sharded tar archives of AirVLN-16 style trajectories (`airvln_16-*.tar`).
+Each archive preserves the original folder layout (`{ID}_processed/...` with
+images and `traj_data.pkl`).
+
+## Quick start
+
+```bash
+git clone https://github.com/EmbodiedCity/ANWM.code.git
+cd ANWM.code
+
+huggingface-cli download EmbodiedCity/ANWM-Dataset --repo-type dataset \
+  --local-dir data/airvln_16_shards
+mkdir -p data/airvln_16
+for f in data/airvln_16_shards/airvln_16-*.tar; do
+  tar -xf "$f" -C data/airvln_16
+done
+```
+
+After extract, trajectory directories are directly under `data/airvln_16/`.
+
+Also download the released checkpoint:
+
+```bash
+huggingface-cli download EmbodiedCity/ANWM 0200000.pth.tar \
+  --local-dir logs/anwm_cdit_airvln/checkpoints
+```
+
+See the code repository README for installation, inference, and evaluation.
+
+## Related
+
+- Code: https://github.com/EmbodiedCity/ANWM.code
+- Model: https://huggingface.co/EmbodiedCity/ANWM
+- Dataset: https://huggingface.co/datasets/EmbodiedCity/ANWM-Dataset
+- Paper: https://arxiv.org/abs/2512.21887