| --- |
| license: cc-by-4.0 |
| pretty_name: Form Field Detection Benchmark |
| task_categories: |
| - object-detection |
| - image-to-text |
| language: |
| - en |
| tags: |
| - document-ai |
| - forms |
| - form-understanding |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
| # 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](https://huggingface.co/nutrientdocs/form-field-vlm) and |
| [leaderboard](https://huggingface.co/spaces/nutrientdocs/form-field-vlm-leaderboard). Try the complete |
| server-side pipeline in the [demo](https://huggingface.co/spaces/nutrientdocs/form-field-vlm-demo). |
|
|
| The task is to return every interactive widget as constrained JSON with: |
|
|
| - `box`: `[x0, y0, x1, y1]` on a 0–1000 page grid |
| - `type`: `text`, `choice_checkbox`, `choice_radio`, `choice_select`, or `signature` |
| - `label`: the field's text label |
| - `group_id`: shared radio-group identifier, otherwise `null` |
|
|
| ## 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 |
|
|
| ```python |
| 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: |
|
|
| ```bash |
| 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**](https://github.com/jbarrow/commonforms), released under |
| **CC-BY-4.0**. See |
| [`ATTRIBUTION.md`](./ATTRIBUTION.md) for the citation and provenance statement. |
|
|
| ## About the author |
|
|
| <a href="https://nutrient.io/"> |
| <img src="https://avatars2.githubusercontent.com/u/1527679?v=3&s=200" height="80" /> |
| </a> |
|
|
| This project is maintained and funded by [Nutrient](https://nutrient.io/) - 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. |
|
|
