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End of preview. Expand in Data Studio
Verification Before Assembly Dataset
Companion dataset for the paper
Verification Before Assembly: A Low-Cost Verifier for Generated Scientific Video Frames
accepted at the NeurIPS 2026 Workshop on AI for Meta‑Science: Scaling and Organizing Science in the Age of AI.
Contents
| Path | Description |
|---|---|
figures/ |
Scientific figure PNGs + JSON sidecars (golden, ml_*, juri_*, bt_l2_fail) |
router/ |
Image-domain labels for the ConvNeXt router (byt / video / graph / scheme) |
metadata/figures_index.jsonl |
Flat index with sample_id, label, paths, caption, and lie annotation |
See also:
Figure splits
- golden — held-out evaluation (never used for training or threshold search)
- ml_orig / ml_l2_fail, juri_orig / juri_l2_fail — paired match / mismatch training figures
- bt_l2_fail — biotechnology mismatches (no paired originals)
Labels:
match— caption and image are consistent (gold.is_corrupted = false)mismatch— locally edited failure (gold.is_corrupted = true)
Indexed figure rows: 985 (golden = 294, train = 691).
Download
from huggingface_hub import hf_hub_download, snapshot_download
root = snapshot_download(
repo_id="Saintghetto17/verification-before-assembly",
repo_type="dataset",
)
index = hf_hub_download(
repo_id="Saintghetto17/verification-before-assembly",
repo_type="dataset",
filename="metadata/figures_index.jsonl",
)
In the companion code repository:
python scripts/download_data.py
# installs into data/figures/ and data_router/
Expected local layout:
data/figures/ ← contents of figures/
data_router/ ← contents of router/
Citation
@inproceedings{verification_before_assembly_2026,
title = {Verification Before Assembly: A Low-Cost Verifier for Generated Scientific Video Frames},
author = {Gromov, Egor},
booktitle = {NeurIPS 2026 Workshop on AI for Meta-Science: Scaling and Organizing Science in the Age of AI},
year = {2026},
url = {https://openreview.net/forum?id=cNyEkRsJgC}
}
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