| --- |
| license: apache-2.0 |
| task_categories: |
| - object-detection |
| tags: |
| - document-intelligence |
| - form-field-detection |
| - pdf |
| - multilingual |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| - split: valid |
| path: data/valid-* |
| dataset_info: |
| features: |
| - name: id |
| dtype: int64 |
| - name: image_id |
| dtype: int64 |
| - name: image |
| dtype: image |
| - name: file_name |
| dtype: string |
| - name: width |
| dtype: int64 |
| - name: height |
| dtype: int64 |
| - name: objects |
| sequence: |
| - name: id |
| dtype: int64 |
| - name: area |
| dtype: float32 |
| - name: bbox |
| sequence: float32 |
| - name: category |
| dtype: |
| class_label: |
| names: |
| '0': Text |
| '1': CheckBox |
| '2': Signature |
| - name: category_id |
| dtype: int64 |
| - name: iscrowd |
| dtype: int64 |
| - name: segmentation |
| sequence: int64 |
| splits: |
| - name: train |
| num_bytes: 160974075696.39 |
| num_examples: 435698 |
| - name: test |
| num_bytes: 11950697193.877 |
| num_examples: 33061 |
| - name: valid |
| num_bytes: 5942589583.79 |
| num_examples: 18195 |
| download_size: 153336406972 |
| dataset_size: 178867362474.05704 |
| --- |
| |
| # CommonForms: A Large, Diverse Dataset for Form Field Detection |
|
|
| This repository hosts the **CommonForms** dataset, a web-scale dataset for form field detection, introduced in the paper [CommonForms: A Large, Diverse Dataset for Form Field Detection](https://huggingface.co/papers/2509.16506). |
|
|
| CommonForms casts the problem of form field detection as object detection: given an image of a page, predict the location and type (Text Input, Choice Button, Signature) of form fields. |
|
|
| **Key Features:** |
| * **Scale:** Roughly 55,000 documents comprising over 450,000 pages. |
| * **Source:** Constructed by filtering Common Crawl to find PDFs with fillable elements. |
| * **Diversity:** Contains a diverse mixture of languages (one third non-English) and domains, with no single domain making up more than 25% of the dataset. |
| * **Purpose:** The first large-scale dataset released for form field detection, aimed at fostering the development of robust form field detectors. |
|
|
| **Paper:** [CommonForms: A Large, Diverse Dataset for Form Field Detection](https://huggingface.co/papers/2509.16506) |
| **Code:** [https://github.com/jbarrow/commonforms](https://github.com/jbarrow/commonforms) |
