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Form Field Detection Benchmark
A fixed, test-only benchmark for end-to-end form-field extraction. It contains the exact 100 clean
form pages and 701 fields used by the
form-field-vlm scorecard and
leaderboard. Try the complete
server-side pipeline in the demo.
The task is to return every interactive widget as constrained JSON with:
box:[x0, y0, x1, y1]on a 0–1000 page gridtype:text,choice_checkbox,choice_radio,choice_select, orsignaturelabel: the field's text labelgroup_id: shared radio-group identifier, otherwisenull
Metrics
The headline is typed-field F1 at IoU 0.5. A match requires sufficient box overlap and the correct fine field type. We also report IoU 0.2, per-type precision/recall/F1, Box F1, Box Recall, density slices, count MAE, false positives per page, and measured seconds per page.
IoU 0.5 is the ranking metric because downstream form filling needs tight widget boxes. IoU 0.2 is a diagnostic for approximately correct but loosely grounded predictions.
Schema
from datasets import load_dataset
benchmark = load_dataset("nutrientdocs/form-field-vlm-benchmark", split="test")
| Field | Meaning |
|---|---|
image |
RGB form-page image |
page_id |
Stable benchmark page identifier |
width, height |
Original image dimensions |
fields |
Gold field objects in original page coordinates |
source |
Upstream source family |
license_class |
Redistribution classification |
Scoring
The reference scorer accepts a JSON list of predictions in original page pixels:
python score.py --benchmark-repo nutrientdocs/form-field-vlm-benchmark \
--predictions predictions.json --out result.json
Each prediction is {page_id, box: [x,y,w,h], type, label?, group_id?} in original page pixels. The
self-contained scorer downloads the public test split and emits the complete IoU 0.5 and 0.2 breakdown
used by the leaderboard. Submit the resulting JSON with the model ID, license, runtime environment, and
seconds/page for review.
Scope
This fixed 100-page set is small enough to run across local and cloud VLMs, but it should not be treated as a comprehensive measure of all form styles. A future, larger document-disjoint benchmark should be published separately rather than silently changing this set.
License and attribution
The benchmark pages derive from CommonForms, released under
CC-BY-4.0. See
ATTRIBUTION.md for the citation and provenance statement.
About the author
This project is maintained and funded by Nutrient - The deterministic document infrastructure enterprises run their highest-stakes workflows on: replayable output, clear exceptions, and full audit trails on the messy, regulated documents where AI alone breaks.
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