Add SpotDiff dataset card

README.md

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+---
+pretty_name: SpotDiff v1 Development
+tags:
+- visual-reasoning
+- spot-the-difference
+- image-to-text
+size_categories:
+- n<1K
+task_categories:
+- image-to-text
+license: other
+---
+
+# SpotDiff v1 Development Dataset
+
+SpotDiff is a visual spot-the-difference benchmark. Each item is one composite
+image containing two nearly identical panels. A model receives the complete
+image and identifies every visible difference using structured JSON.
+
+This is the public development release. It contains 10 reviewed images and 61
+gold differences. The annotations are intentionally public so that anyone can
+reproduce the evaluator locally and inspect the benchmark design.
+
+## Layout
+
+- `data/images/`: composite images with both panels
+- `data/annotations/`: approved golden structured differences
+- `data/manifest.json`: item IDs, image paths, and annotation paths
+- `data/dataset_version.json`: release metadata
+
+## Evaluation
+
+Install the evaluator from GitHub, or run it from a checkout:
+
+```bash
+pip install -e .
+spotdiff evaluate \
+  --manifest data/manifest.json \
+  --predictions predictions/your-model.json
+```
+
+The official development score is deterministic:
+
+```text
+0.60 * recall + 0.25 * precision + 0.15 * attribute_accuracy
+```
+
+Because this is a development benchmark, the answers are public and results
+are suitable for reproducibility and community-reported comparisons. They are
+not a hidden-test leaderboard result.
+
+## Image rights
+
+Before publishing this dataset, the dataset maintainer must confirm that the
+source images may be redistributed. The `other` license marker is deliberate
+until the image provenance and license are documented.