VietMedTeam/veri-render

VeriRender Benchmark Dataset

Causal consistency verification samples for Vision-Language Models.

Layout

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

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:

python scripts/build_manifest.py