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Add codex Blender scenes (blender, blender_astra) as WebDataset
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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.