| --- |
| dataset_info: |
| features: |
| - name: images |
| list: |
| image: |
| decode: false |
| - name: image_group_id |
| dtype: string |
| - name: qa |
| list: |
| - name: view |
| dtype: string |
| - name: inputs |
| dtype: string |
| - name: choices_list |
| list: string |
| - name: labels |
| dtype: int64 |
| - name: metadata |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 5096142 |
| num_examples: 828 |
| - name: train |
| num_bytes: 510314876 |
| num_examples: 83190 |
| - name: validation |
| num_bytes: 5089681 |
| num_examples: 834 |
| download_size: 520708749 |
| dataset_size: 520500699 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| language: |
| - en |
| license: mit |
| source_datasets: [] |
| task_categories: |
| - multiple-choice |
| - visual-question-answering |
| tags: |
| - decision-model |
| - grounding |
| - 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. |
|
|
| [Coarse source/recast audit](https://github.com/sileod/tasksource/blob/main/docs/jev/audits/shapeworld-grounding-recast.json). |
|
|
