Update README.md

README.md

@@ -138,15 +138,16 @@ size_categories:
 
   # Filter by resolution (altitude proxy)
   high_res = ds["train"].filter(lambda x: x["meters_per_pixel_mean"] < 150)
+```
 
-  Intended Uses
+  ## Intended Uses
 
   - Neural texture synthesis for planetary rendering
   - Diffusion model training for lunar surface generation
   - Multi-scale/altitude-conditioned image generation
   - Geographic ML research
 
-  Physical Scale Reference
+  ## Physical Scale Reference
 
   | meters_per_pixel | Equivalent Viewing Altitude |
   |------------------|-----------------------------|
@@ -154,13 +155,13 @@ size_categories:
   | ~500             | High altitude (~2,000 km)   |
   | ~100             | Low altitude (~400 km)      |
 
-  Citation
+  ## Citation
 
   If using this dataset, please cite the original LROC data:
 
   Robinson, M. S., et al. (2010). Lunar Reconnaissance Orbiter Camera (LROC)
   Instrument Overview. Space Science Reviews, 150(1-4), 81-124.
 
-  License
+  ## License
 
   The source imagery is in the public domain (NASA). This processed dataset is released under CC-BY-4.0.