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README_source.md

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+---
+pretty_name: "GS-QA2 Source Data: OSM Vector Layers and ASTER DEM Raster"
+license: other
+license_name: odbl-and-aster-gdem
+license_link: https://opendatacommons.org/licenses/odbl/
+language:
+- en
+tags:
+- geospatial
+- gis
+- openstreetmap
+- digital-elevation-model
+- aster-gdem
+- raster
+- vector
+- postgis
+- benchmark
+viewer: false
+---
+
+# GS-QA2 Source Data
+
+Reference geospatial data underlying **[GS-QA2](https://huggingface.co/datasets/Zoe/GS-QA2)**, a benchmark for question answering over raster–vector data. This repository contains the raw vector and raster inputs needed to rebuild the reference PostGIS database, execute the benchmark's ground-truth SQL queries, and run the baselines — use it together with the QA pairs in [Zoe/GS-QA2](https://huggingface.co/datasets/Zoe/GS-QA2) and the code in [github.com/ZhuochengShang/QARV](https://github.com/ZhuochengShang/QARV).
+
+## Contents
+
+| Path | Contents | Format |
+|---|---|---|
+| `osm/osm_extract.tar.gz` | Raw OSM extracts of the United States (folders `lakes/`, `parks/`, `pois/`, `postal_codes/`, `roads/`) — the exact input to the benchmark's ingestion scripts | tar.gz of GeoJSON |
+| `dem/dem_tiles_*.tar` | 1,364 ASTER GDEM v3 1°×1° GeoTIFF tiles (1 arc-second ≈ 30 m, EPSG:4326) covering the contiguous United States | tar shards of GeoTIFF |
+| `dem/tile_list.txt` | Listing of all DEM tile filenames | text |
+| `dem/needed_dem_tiles.txt` | The tile set required by the benchmark (usable to re-download from NASA Earthdata instead of fetching the shards) | text |
+| `dem/tile_index.gpkg` | Spatial index of every DEM tile footprint (if present) | GeoPackage |
+
+## Rebuilding the reference database
+
+The benchmark's ground-truth SQL expects PostGIS tables `pois`, `roads`, `parks`, `lakes`, `regions` and a raster table `public.dem_us`. Follow `GS-QA/ingestion/` in the [QARV repository](https://github.com/ZhuochengShang/QARV):
+
+1. Extract `osm/osm_extract.tar.gz` to `$DATA_ROOT/osm_extract/` and load the vector tables with `ingest_osm_postgis.sh` (which uses the `*_processor.py` loaders and schema files from `GS-QA/generator/`).
+2. Extract the DEM shards (`for t in dem/dem_tiles_*.tar; do tar -xf "$t"; done`) to `$DEM_ROOT` and load with `ingest_dem_postgis.sh`. The script runs `raster2pgsql` with 256×256 tiling — the 1,364 source GeoTIFFs become the 265,950 in-database raster tiles reported in the paper — and builds a GiST spatial index.
+
+All geometries and rasters use EPSG:4326 (WGS 84).
+
+## Provenance
+
+- The OSM extracts were produced with [osmx](https://bitbucket.org/bdlabucr/osmx/src/master/) from [Geofabrik](https://www.geofabrik.de/data/download.html) United States extracts, by the authors of the original [GS-QA benchmark](https://arxiv.org/abs/2605.22811) (also mirrored at [this Google Drive folder](https://drive.google.com/drive/folders/1pz895-lpGAaNJXz2mzjnB7SAgWwD0Uag?usp=share_link)).
+- The DEM tiles are ASTER GDEM Version 3 (ASTGTM v003) granules obtained from [NASA Earthdata / LP DAAC](https://doi.org/10.5067/ASTER/ASTGTM.003); `dem/needed_dem_tiles.txt` identifies the granules so they can equally be re-downloaded from the source.
+
+## Licensing and attribution
+
+- **OSM-derived data (`osm/`):** © [OpenStreetMap](https://www.openstreetmap.org/copyright) contributors, licensed under the [Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/). Any derived database must comply with ODbL share-alike terms.
+- **DEM tiles (`dem/`):** **ASTER GDEM is a product of METI and NASA.** ASTER GDEM v3 data are freely available and redistributable; retain this attribution. See the [ASTGTM v003 documentation](https://doi.org/10.5067/ASTER/ASTGTM.003).
+
+## Citation
+
+```bibtex
+@inproceedings{shang2026gsqa2,
+  title     = {GS-QA2: A Benchmark for Question Answering over Raster--Vector Data},
+  author    = {Shang, Zhuocheng and Elmahallawy, Shahd and Al Nazi, Zabir and Hristidis, Vagelis and Eldawy, Ahmed},
+  year      = {2026},
+  note      = {Benchmark and code: https://github.com/ZhuochengShang/QARV}
+}
+
+@article{saeedan2026gsqa,
+  title   = {GS-QA: A Benchmark for Geospatial Question Answering},
+  author  = {Saeedan, Majid and Shihab Rashid, Muhammad and Eldawy, Ahmed and Hristidis, Vagelis},
+  journal = {arXiv preprint arXiv:2605.22811},
+  year    = {2026}
+}
+```
+
+## Contact
+
+Zhuocheng Shang — zshan011@ucr.edu — University of California, Riverside