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README.md

@@ -40,4 +40,32 @@ configs:
     path: data/train-*
   - split: validation
     path: data/validation-*
+language:
+- en
+license: mit
+source_datasets: []
+task_categories:
+- multiple-choice
+- visual-question-answering
+tags:
+- decision-model
+- procedural
 ---
+
+# shapeworld-grounding
+
+Procedurally verified color/shape and spatial grounding using ShapeWorld's renderer.
+
+Native scene objects provide every candidate box. Queries are retained only when
+exactly one object satisfies their attributes and, where used, spatial relation.
+Non-overlapping, fully visible scenes have three to six shapes. Independent
+split/scene seeds and image hashes prevent train/evaluation image overlap.
+Images are generated as PNG, stored once per scene with up to two grouped QAs.
+ShapeWorld's MIT license applies; this is a derived grounding task, not its
+original caption-agreement benchmark. No language model labels or distractors.
+
+Original data: [original distribution](https://github.com/AlexKuhnle/ShapeWorld). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/shapeworld_grounding.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/shapeworld_grounding.py#L44).
+
+Images are stored once with grouped `qa` records: test: 1,000 questions / 828 image groups, validation: 1,000 questions / 834 image groups, train: 100,000 questions / 83,190 image groups.
+
+[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.