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| pretty_name: Type1b Multi-View Spatial Reasoning | |
| language: | |
| - en | |
| task_categories: | |
| - visual-question-answering | |
| tags: | |
| - multi-view | |
| - 3d | |
| - spatial-reasoning | |
| - synthetic-data | |
| # Type1b Multi-View Spatial Reasoning | |
| Type1b contains gravity-settled Blender scenes, 26-view RGB renders, auditable | |
| spatial QA, and raw model predictions. Four vertical-spread conditions are | |
| released under the uniform names `zspread_025`, `zspread_050`, `zspread_075`, | |
| and `zspread_100`. | |
| Generation, evaluation, and analysis code is available in the | |
| [DM3SR GitHub repository](https://github.com/Ever2after/DM3SR). | |
| ## Dataset layout | |
| ```text | |
| scenes/zspread_XXX/ scene JSON and validation metadata | |
| physics/zspread_XXX/ settled physics reports | |
| renders/zspread_XXX/ 26-view PNGs and render_report.json | |
| qa/zspread_XXX/ canonical QA JSONL | |
| qa_ablation/view_count/zspread_XXX/ paired 2--6 input-view controls | |
| evaluation/zspread_XXX/ model predictions and scores | |
| evaluation/view_count/zspread_100/ input-view-count predictions | |
| metadata/evaluation_lineage.json QA/input-image lineage audit | |
| ``` | |
| The main tasks are `object_counting`, `relative_distance`, and | |
| `relative_position`. QA rows reference images relative to their corresponding | |
| `renders/zspread_XXX` directory. | |
| ## Canonical render counts | |
| | Level | Scenes | PNGs | | |
| |---|---:|---:| | |
| | zspread_025 | 23 | 598 | | |
| | zspread_050 | 31 | 806 | | |
| | zspread_075 | 43 | 1,118 | | |
| | zspread_100 | 41 | 1,066 | | |
| Every released scene directory also contains `render_report.json`. The scene | |
| specification collection contains 50 JSON files per level; Blender physics and | |
| render validation determine the released render/QA subset. | |
| ## External assets | |
| Scene specifications identify OmniObject3D assets by category and object ID. | |
| Raw OmniObject3D scans and Poly Haven HDRIs are not redistributed in this | |
| dataset; obtain them under their original licenses. The companion GitHub | |
| repository contains category filters, HDRI checksums, generation, rendering, | |
| QA, evaluation, and analysis code. | |
| ## Release integrity | |
| Use `type1b/manifests/huggingface_dataset_manifest.json` in the companion code | |
| repository for the exact local-source to Hub-destination mapping. The canonical | |
| selection follows the QA `report_path` lineage rather than historical folder | |
| labels, which avoids uploading an earlier unused z-spread render generation. | |
| Some retained historical model runs evaluated the same counting questions with | |
| an earlier random input-view selection, and some Qwen3 z=1.0 spatial files use | |
| historical question IDs. Predictions embed their actual question and image list. | |
| `metadata/evaluation_lineage.json` labels every file as exact, ID-remapped, or | |
| same-content/different-input-views so these conditions are never conflated. | |