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| license: other | |
| license_name: mixed-non-commercial | |
| tags: | |
| - webdataset | |
| - blender | |
| - 3d | |
| - procedural | |
| # Codex-generated Blender street scenes (WebDataset) | |
| Procedural Blender 5.0 reconstructions of 5 street-view reference photos, each written by an OpenAI codex agent (`codex exec`, reasoning effort `xhigh`) as a single `scene.py`. | |
| | dir | model | prompt | | |
| |---|---|---| | |
| | `blender/` | gpt-6.1-sol | v1 (no label requirement) | | |
| | `blender_astra/` | gpt-6-astra | v2 (`jobs/prompt_blender.md`: fixed outputs, semantic `label` property on every object, realism) | | |
| ## Format | |
| One tar shard per run (`<run>/<run>-000000.tar`), one sample per scene. Sample key = scene name, e.g. `03_europe_historic_facades`. Members (`<key>.<file>`, nested paths flattened with `_`): | |
| - `meta.json` – run, model, effort, timing, token stats, file list | |
| - `scene.py` – generator script (`blender -b --factory-startup -P scene.py` rebuilds `scene.blend` + `render.png`) | |
| - `scene.blend`, `render.png`, `ref.jpg` (4096 px reference), `NOTES.md`, `prompt.md` (v2 only) | |
| - intermediate iteration renders / logs, `codex_events.jsonl` (full agent trace incl. token usage) | |
| - `viewer_objects.json` (object table: name, label, parent, bbox, tris), `viewer_mesh.npz` (world-space triangles per label) | |
| ```python | |
| import webdataset as wds | |
| ds = wds.WebDataset("hf://datasets/wangchenlong/temp/blender_astra/blender_astra-000000.tar") | |
| for s in ds: | |
| print(s["__key__"], sorted(s)) | |
| ``` | |
| ## Reference image sources | |
| 01–02: HoliCity panoramas (non-commercial terms); 03–05: Mapillary Vistas v2.0 (Research Use License, non-commercial). Reference images remain under their original licenses. | |