Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,106 @@
+---
+license: mit
+task_categories:
+  - robotics
+tags:
+  - drone
+  - rescue
+  - trajectory-planning
+  - alpine
+  - geospatial
+  - xyz-semantic
+  - skyfull
+  - lerobot-compatible
+size_categories:
+  - 10K<n<100K
+---
+
+# skyfull-zermatt-rescue-v1
+
+Rescue drone trajectory dataset over **real Zermatt terrain** (Valais, Switzerland).
+Generated with [Skyfull](https://github.com/Ethgar/skyfull) — a geo-scale simulation
+platform for physical intelligence.
+
+## What makes this different
+
+No pixels. No camera. Pure XYZ coordinates.
+
+The terrain is encoded as an implicit neural function (`TerrainNet`), not a texture or image.
+Every trajectory is a sequence of `(lon, lat, alt_m)` waypoints computed analytically,
+then used as supervised signal for a tiny policy MLP.
+
+This is the same principle as [LeRobot](https://github.com/huggingface/lerobot) —
+collect → train → deploy — but the "lab" is a real Alpine mountain range and the
+"robot" is a rescue drone.
+
+## Tile
+
+| | |
+|---|---|
+| Region | Zermatt, Valais, Switzerland |
+| Bounds | lat [45.95, 46.07]  lon [7.68, 7.82] |
+| Terrain source | AWS Terrarium tiles, zoom 12 (~26 m/px) |
+| Terrain model | TerrainNet — 4k-param MLP, 37 KB |
+| City base | Zermatt (7.7480°, 46.0200°) |
+
+## Dataset
+
+| | |
+|---|---|
+| Episodes | 10,000 |
+| Steps per episode | 40 |
+| Observation | (lon, lat, alt_m) — 3 floats per step |
+| Trajectory shape | (40, 3) float32 |
+| Victim min elevation | 2200 m |
+| Terrain clearance | 80 m minimum |
+| Total size | ~5 MB |
+| Terrain violations | 0 / 10,000 |
+
+## Files
+
+| File | Shape | Description |
+|---|---|---|
+| `episodes.npy` | `(10000, 40, 3)` float32 | Full trajectories: lon, lat, alt_m per step |
+| `victims.npy` | `(10000, 3)` float32 | Victim locations: lon, lat, elev_m |
+| `dataset_info.json` | — | Schema, tile metadata, generation params |
+
+## Quick start
+
+```python
+import numpy as np
+from huggingface_hub import hf_hub_download
+
+episodes = np.load(hf_hub_download("Ethgar/skyfull-zermatt-rescue-v1", "episodes.npy", repo_type="dataset"))
+victims  = np.load(hf_hub_download("Ethgar/skyfull-zermatt-rescue-v1", "victims.npy",  repo_type="dataset"))
+
+print(episodes.shape)   # (10000, 40, 3)
+print(victims.shape)    # (10000, 3)
+```
+
+## Companion model
+
+Trained policy: [`Ethgar/skyfull-policy-zermatt-rescue-v1`](https://huggingface.co/Ethgar/skyfull-policy-zermatt-rescue-v1)
+
+Input: `(victim_dlon, victim_dlat, victim_elev)` — 3 floats
+Output: full trajectory `(40, 3)` — planned in < 2 ms on CPU
+
+## Skyfull tile library
+
+| Tile | Region | Repo |
+|---|---|---|
+| Aosta Valley | Valle d'Aosta, Italy | [Ethgar/skyfull-aosta-valley-rescue-v1](https://huggingface.co/datasets/Ethgar/skyfull-aosta-valley-rescue-v1) |
+| Chamonix | Haute-Savoie, France | [Ethgar/skyfull-chamonix-rescue-v1](https://huggingface.co/datasets/Ethgar/skyfull-chamonix-rescue-v1) |
+| Zermatt | Valais, Switzerland | [Ethgar/skyfull-zermatt-rescue-v1](https://huggingface.co/datasets/Ethgar/skyfull-zermatt-rescue-v1) |
+| Dolomites | South Tyrol, Italy | [Ethgar/skyfull-dolomites-rescue-v1](https://huggingface.co/datasets/Ethgar/skyfull-dolomites-rescue-v1) |
+
+## Cite
+
+```
+@misc{skyfull-zermatt-rescue-v1,
+  author       = {Ethgar},
+  title        = {Skyfull: Zermatt rescue drone dataset},
+  year         = {2026},
+  publisher    = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/datasets/Ethgar/skyfull-zermatt-rescue-v1}},
+}
+```