---
license: mit
task_categories:
  - visual-question-answering
  - image-to-text
language:
  - en
tags:
  - vision-language-model
  - benchmark
  - causal-reasoning
  - scientific-visualization
  - multimodal
pretty_name: VeriRender
size_categories:
  - n<1K
dataset_info:
  features:
    - name: sample_id
      dtype: string
    - name: split
      dtype: string
    - name: domain
      dtype: string
    - name: family
      dtype: string
    - name: clean_image
      dtype: image
    - name: corrupted_image
      dtype: image
    - name: eval_image
      dtype: image
    - name: perturbation_type
      dtype: string
    - name: perturbation_description
      dtype: string
    - name: prompt
      dtype: string
    - name: generator_content
      dtype: string
    - name: generator_type
      dtype: string
    - name: seed
      dtype: int64
configs:
  - config_name: default
    data_files:
      - split: inconsistent
        path: manifest_inconsistent.parquet
      - split: consistent
        path: manifest_consistent.parquet
---

# VeriRender Benchmark Dataset

Causal consistency verification samples for Vision-Language Models.

## Layout

```text
manifest.jsonl          ← canonical index (one row per sample)
benchmark.yaml          ← config used to generate this release
inconsistent/{domain}/{sample_id}/   ← corrupted evaluation samples
consistent/{domain}/{sample_id}/     ← negative controls (clean images)
```

## Splits

| Split | Description | Eval image |
|---|---|---|
| `inconsistent` | Symbolic spec is correct; image has a perturbation | `corrupted.png` |
| `consistent` | Symbolic spec matches the clean image | `clean.png` |

## Sample folder

Each sample contains:
- `spec.py` / `spec.tex` / `spec.txt` — symbolic generator (unchanged for inconsistent samples)
- `clean.png` — faithful rendering
- `corrupted.png` — perturbed rendering (inconsistent only)
- `prompt.md` — VLM evaluation prompt
- `metadata.json` — full provenance

## Loading

```python
import json
from pathlib import Path

root = Path(".")
rows = [json.loads(line) for line in (root / "manifest.jsonl").open()]
```

Or rebuild the manifest after edits:

```bash
python scripts/build_manifest.py
```