| --- |
| language: |
| - en |
| tags: |
| - code |
| - video-evaluation |
| - benchmark |
| - judge |
| - anonymous-release |
| --- |
| |
| # Anonymous Release — Code |
|
|
| Source code for the benchmark, evaluation, and judge-training pipeline that |
| accompanies the companion data release |
| [`phyground`](../datasets/) and the LoRA judge adapter under |
| [`../model/`](../model/). |
|
|
| This drop contains 43 Python source files plus the HTML/CSS/JS assets needed |
| by the human-annotation app. Shell scripts, configuration YAMLs, |
| prompts/answers JSONs, generated dashboards, databases, and binary assets are |
| intentionally excluded — see the dataset and model cards for the artifacts and |
| prompts those scripts consume. |
|
|
| ## Layout |
|
|
| ``` |
| dataprocessing/ |
| common/ # Vertex AI / OpenAI client helpers, video-id utilities |
| refine/ # Prompt-set construction: enhance, dedup, hard-subset, |
| # humaneval-set assembly, removal sync |
| analysis/ # Ablation: prompt-enhancement effect on judges |
| |
| evals/ |
| eval_types.py # Typed result containers for VLM-as-judge runs |
| physics_criteria.py # Physical-law sub-rubric definitions |
| sub_questions.py # Sub-question rendering for CoT/SubQ prompts |
| prompts/ # Prompt-template loaders (YAMLs withheld; see model card) |
| human_eval/ # Flask-based human-annotation app + tests + templates |
| |
| judge_training/ |
| data/ # Build SFT data for ms-swift from raw judgement logs |
| # (schema, sampling, naming, Claude-CoT/DB builders) |
| ``` |
|
|
| ## Companion artifacts |
|
|
| - **Dataset** (250 prompts × 8 video models = 2 000 videos, sub-rubric |
| ground truth): `../datasets/` — see its `README.md`. |
| - **Model** (LoRA judge adapter, prompt template, inference script): |
| `../model/` — see its `README.md` and `infer.py`. |
|
|
| ## Dependencies (top-level) |
|
|
| The pipeline relies on the following open-source components. Versions match |
| those reported in the paper. |
|
|
| | Component | Used for | |
| | --- | --- | |
| | `transformers`, `peft`, `qwen-vl-utils[decord]` | Judge inference | |
| | `ms-swift`, `deepspeed` | Judge LoRA training (ZeRO-2) | |
| | `vllm` (OpenAI-compatible server) | Hosting the base VLM for evaluation | |
| | `google-genai` / Vertex AI | Gemini family runs | |
| | `anthropic` / Vertex AI | Claude family runs | |
| | `openai` Python SDK | OpenAI / GPT family runs | |
| | `flask`, `sqlite3`, `selenium` | Human-annotation web app | |
|
|
| ## License |
|
|
| Code is released under the same anonymous-review terms as the rest of this |
| release. No identifying metadata is included. |
|
|
