--- dataset_info: features: - name: images list: image: decode: false - name: image_group_id dtype: string - name: qa list: - name: inputs dtype: string - name: choices_list list: string - name: labels dtype: int64 - name: metadata dtype: string splits: - name: test num_bytes: 520056715 num_examples: 1065 - name: train num_bytes: 1160523015 num_examples: 2410 - name: validation num_bytes: 393670940 num_examples: 793 download_size: 2074393682 dataset_size: 2074250670 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* license: cc-by-nc-sa-4.0 source_datasets: - TACPS-liv/Spatial-DISE tags: - decision-model - spatial-reasoning language: - en task_categories: - multiple-choice - visual-question-answering --- # spatial-dise Spatial-DISE native spatial MC questions, with unchanged composite image bytes. Includes rotation, combination and hidden-face tasks. Projection is excluded for missing viewing cues; folding for a sampled ambiguous set of answer panels. Original train/validation/test partitions are retained, removing generator-ID families shared with a held-out split or the separate 559-question benchmark. Answer choices name the image's panels; Jev may reorder these references without changing panel identity. No generated distractors. Native procedural or curated wild labels are identified in metadata. CC BY-NC-SA 4.0; embedded Icons8 assets and collected aptitude-test images retain their original third-party terms. Original data: [TACPS-liv/Spatial-DISE](https://huggingface.co/datasets/TACPS-liv/Spatial-DISE). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/spatial_dise.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/spatial_dise.py#L46). [Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.