Update README.md

README.md

@@ -30,18 +30,13 @@ configs:
 
 HighBuild-1M is a multi-continental high-resolution benchmark dataset for single-view building height estimation from overhead imagery. Each sample contains a 1024×1024 RGB overhead image, a spatially aligned float32 building-height mask, and COCO-style building instance annotations.
 
-## Release Scope
-
-The full benchmark described in the paper contains:
+## Dataset Statistics
 
 | Version | 1024×1024 tiles | Building instances | City groups | Countries/regions | Continents |
 |---|---:|---:|---:|---:|---:|
-| Full benchmark in the paper | 70,266 | 6,050,823 | 26 | 12 | 6 |
-| Hugging Face hosted release | 61,215 | See release metadata | 24 | 10 | 6 |
-
-The current Hugging Face hosted release excludes the Taiwan and Hong Kong subsets due to source-specific redistribution constraints. Therefore, the hosted release contains 61,215 matched 1024×1024 samples across 24 city folders, 10 countries, and 6 continents.
+| HighBuild-1M | 70,266 | 6,050,823 | 26 | 12 | 6 |
 
-The paper reports the full benchmark statistics: 70,266 paired 1024×1024 tiles, 6,050,823 building instances, 26 city groups, 12 countries or regions, and 6 continents. This repository hosts the currently redistributable public release.
+The released benchmark covers 6 continents, 12 countries or regions, and 26 city groups, with 70,266 paired 1024×1024 tiles and 6,050,823 building instances.
 
 ## Tasks
 
@@ -58,8 +53,9 @@ HighBuild-1M supports the following tasks:
    COCO-style building polygons and bounding boxes can be used for semantic or instance-level building analysis.
 
 4. **Spatial generalization benchmarking**  
-   The full benchmark described in the paper supports same-city, cross-city within-country, and cross-country evaluation protocols. The current hosted release includes the random 64/16/20 split and metadata manifests for reproducible use.
+   The benchmark supports same-city, cross-city within-country, and cross-country evaluation protocols.
 
+   
 ## WebDataset and Compression
 
 For the Hugging Face hosted release, the recommended distribution format is