# VisSlideBench evaluation

## Setup

```bash
pip install -r eval/requirements.txt          # judge + text matching
pip install paddlepaddle-gpu paddleocr==3.3.2  # OCR, only for run_ocr.py
export OPENAI_API_KEY=...                     # any OpenAI-compatible endpoint
export OPENAI_BASE_URL=...                    # optional
export VISSLIDEBENCH_JUDGE=gpt-4.1            # optional, default gpt-4.1
```

## Predictions

Generate one image per case and save it as `<pred_dir>/<track>/<id>.png`,
where `<track>` is `t2i`, `template`, `multi_image`, or `edit` and `<id>` is the
`id` field. Our runs generate t2i cases at 1280x720, template and multi_image
cases at 1376x768, and edit cases at the record's `width` and `height` (the
source slide size), with seed `2233 + index` for case `index`.

## Scoring

```bash
cd VisSlideBench
for t in t2i template multi_image; do
  python eval/run_ocr.py          --task $t --pred_dir $PRED --device gpu:0
  python eval/score_generation.py --task $t --pred_dir $PRED --workers 16
done
python eval/score_edit.py --pred_dir $PRED --workers 16
python eval/aggregate.py  --pred_dir $PRED                  # Table 1 layout
python eval/aggregate.py  --pred_dir $PRED --by source      # real vs synthetic
python eval/aggregate.py  --pred_dir $PRED --by prompt_type # short / long / style_json
```

Per-case scores go to `<pred_dir>/scores/<track>.jsonl`. A case that fails a
metric (missing image, no OCR text, no required text in the instruction, or a
judge error after three retries) has no value for that metric and is left out
of that metric's average.

## Judge settings

| Call | Prompt | Temperature | Max tokens |
|---|---|---:|---:|
| Required-text extraction (CF) | in `score_generation.py` | 0.2 | 800 |
| Input-image preservation (multi_image CF) | `prompts/content_faithfulness.txt` | 0.2 | 1200 |
| Instruction Following | `prompts/style_instruction_following_{text,json}.txt` | 0.2 | 2000 |
| Aesthetic Quality | `prompts/aesthetic_quality.txt` | 0.2 | 2000 |
| Edit success + consistency | `prompts/edit_evaluation_source_control.txt` | 0.7 | 512 |
| Edit presentation quality | `prompts/edit_evaluation_quality.txt` | 0.7 | 512 |

Images sent to the judge are JPEG-encoded with the long side capped at 1,600
pixels and `detail: high`.