GS-QA2: Question Answering over Raster–Vector Geospatial Data

GS-QA2: A Benchmark for Question Answering over Raster–Vector Data GS-QA2 is a benchmark for geospatial question answering over both vector and raster data. It extends GS-QA — a vector-only benchmark built on OpenStreetMap features in a PostGIS database — with a U.S. Digital Elevation Model (DEM) raster layer and 25 new question templates that require terrain reasoning: elevation lookups, slope, aspect, ruggedness, and questions that combine vector filtering with raster… See the full description on the dataset page:

Source: Hugging Face Hub (Zoe/GS-QA2). Metadata imported from the dataset’s Hub tags.