Datasets:
|
Download 3DCodeBench_extra_ablation_logs/README.md from jiliao/3DCodeBench: direct link, hf CLI and curl.
- Browser
- Download file 3.21 kB
-
https://huggingface.co/datasets/jiliao/3DCodeBench/resolve/main/3DCodeBench_extra_ablation_logs/README.md
- Command line
-
hf download hf://datasets/jiliao/3DCodeBench/3DCodeBench_extra_ablation_logs/README.md
-
curl -L -o README.md https://huggingface.co/datasets/jiliao/3DCodeBench/resolve/main/3DCodeBench_extra_ablation_logs/README.md
3.21 kB
3DCodeBench extra ablation logs
Extra ablation / supplementary experiment logs for 3DCodeBench.
This folder is not the main leaderboard inference dump. Use the two log trees as follows:
| Folder | Role |
|---|---|
3DCodeBench_ModelLogs/ |
Main eval logs of the reported models / agents (scripts, prompts, transcripts). |
3DCodeBench_extra_ablation_logs/ (this folder) |
Extra ablations on top of that: curation, contamination, held-out categories, structural metrics, harness variants, interactive feedback, and track split. Archives include meshes and renders. |
Each .tar.gz unpacks to a directory with the same stem. Virtualenvs and __pycache__ are omitted. Start at findings/ for writeups and tables.
Extra ablations
| Path | Extra ablation |
|---|---|
findings/ |
Per-run writeups and tables. |
e1_curation_ablation.tar.gz |
Curation ablation. Three settings: naive distill (A), agentic pipeline without human (B), released data with human verification (C). Result GLBs/PNGs vs references. |
e1b_annotation (in small_notes.tar.gz) |
Annotator rubric and protocol notes. |
e2_cad_pilot.tar.gz |
Same manufactured categories, Blender vs CAD (FreeCAD) generation. |
e4_contamination.tar.gz |
Code-overlap analysis of model scripts against Infinigen sources. |
e4c_fresh_categories.tar.gz |
Held-out / non-Infinigen categories, plus a copy of the original 212-class references, re-renders, and model outputs on both sets. Largest archive. |
e5_structural.tar.gz |
Structural / topology metrics (floating parts, watertightness, fragmentation) and the meshes they were scored on. Scorer: findings/e5_structural/structural_integrity.py. |
e5_render_pass.tar.gz |
Incomplete re-render pass. Stopped on purpose; see findings/e5_render_pass/ABANDONED.md. |
e5_vote_agreement (in small_notes.tar.gz) |
Scoping notes for per-vote metric agreement. |
e6_track_split (in small_notes.tar.gz) |
Text-to-3D vs image-to-3D split tables. Analysis only. |
e8_harness.tar.gz |
Extra harness ablation on 50 categories: single-shot, a unified ReAct loop (same prompt/tools/turn cap for every backbone), and native Gemini CLI. Also a 20-turn rerun of the unified loop. |
e9_interactive.tar.gz |
Multi-round generation with extra feedback (grounded vs model-only). |
issue1_fixes (in small_notes.tar.gz) |
Dataset script fixes and diffs. |
taxonomy (in small_notes.tar.gz) |
Category-group labels. |
small_notes.tar.gz |
The small items above, plus the experiment plan. |
backups_harness-storage.tar.gz |
Snapshot of harness working storage used while running the extra ablations. |
SHA256SUMS |
Checksums of the archives. |
e8 harness conditions (short)
Held fixed across backbones in the unified loop: system prompt, tools {write_file, run_blender, read_render}, 10-turn cap (20 in the follow-up), 600 s wall clock.
| Condition | Meaning |
|---|---|
single_shot |
One-call generation |
unified |
Neutral ReAct harness |
unified_t20 |
Same harness, 20 turns |
native_cli |
Vendor Gemini CLI |
Restore
tar -xzf e8_harness.tar.gz
tar -xzf e4c_fresh_categories.tar.gz