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README.md

@@ -31,6 +31,8 @@ Coastal and marine environments play a critical role in climate regulation, biod
 
 WaterBench is a benchmark and evaluation protocol for assessing GFMs on high-resolution (10m) radar and optical satellite imagery (Sentinel-1, Sentinel-2) across two downstream task families: image-level regression and classification (e.g., water quality, bathymetry, oil-slick detection) and pixel-level segmentation (e.g., mangroves, seagrass). We also include 300m Sentinel-3 ocean-color imagery as contextual information. WaterBench spans multiple coastal regions and seasons, defining fixed splits for in-distribution (ID) evaluation and held-out tests that are spatial (new geographies) and, where applicable, temporal (new years).
 
+**Total size:** ~164 GB (44 tar archives across 6 tasks)
+
 ## Tasks
 
 | Task | Resolution | Modalities | Target / Classes | Metrics | Train | Val | Test | Spatial | Temporal |
@@ -138,14 +140,14 @@ data/
 huggingface-cli download ayushprd/WaterBench --repo-type dataset --local-dir WaterBench
 ```
 
-### Single task (e.g., OceanState)
+### Single task (e.g., ACA)
 ```bash
-huggingface-cli download ayushprd/WaterBench --repo-type dataset --include "data/OceanState/*" --local-dir WaterBench
+huggingface-cli download ayushprd/WaterBench --repo-type dataset --include "data/ACA/*" --local-dir WaterBench
 ```
 
 ### Extract archives
 ```bash
-cd WaterBench/data/OceanState
+cd WaterBench/data/ACA
 for f in *.tar; do tar xf "$f"; done
 ```