---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
tags:
- satellite-imagery
- spatial-reasoning
- benchmark
- segmentation-masks
pretty_name: SQuID-GT (ground-truth mask bundle)
---

# SQuID-GT — Ground-Truth Mask Bundle for the SQuID Benchmark

Companion release for **SQuID** (https://huggingface.co/datasets/squid-bench-anon/SQuID),
under review at the NeurIPS 2026 Evaluations and Datasets Track. The evaluation split
on the main repository is unchanged; this bundle adds the assets needed for
**diagnostic (oracle) evaluation** with the QASR code release
(https://anonymous.4open.science/r/qasr-squid/):

- `images_and_masks/{deepglobe_0.5m, earthvqa_0.3m, solar_0.3m, naip_1.0m}/` —
  source images and the curated segmentation masks that SQuID ground-truth answers
  are derived from (1,950 mask-backed questions; the 50 NAIP questions use
  human-consensus ground truth and have no masks).
- `qvlm_benchmark.json` — the benchmark records with per-question `image`/`mask`
  paths, answers, tolerance ranges, tiers, and GSD (refreshed export with unified
  pixel-count area definitions and content-hash ids).

## Purpose

Running QASR with these ground-truth masks in place of any segmentation model
(`USE_GT_MASKS=1` in the code release) measures the reasoning + geometry-API
ceiling under perfect perception, decomposing benchmark error into perception vs.
reasoning. This oracle configuration is fully reproducible from public assets
(no closed-source segmentation checkpoints required).

```bash
# with the code release checked out:
mv <this download> ./SQuID_GT
./run_oracle_gt.sh validate     # no API calls; expect 1950/1950 and 100% pass rates
OPENAI_API_KEY=sk-... ./run_oracle_gt.sh run
```

Imagery/masks originate from DeepGlobe (CVPR-W 2018), EarthVQA (ICCV 2023), and a
public photovoltaic-panel segmentation dataset (ESSD 2021); NAIP imagery is USGS
public domain. Research use only (CC BY-NC 4.0).