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--- |
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license: apache-2.0 |
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task_categories: |
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- object-detection |
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tags: |
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- document-intelligence |
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- form-field-detection |
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- pdf |
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- multilingual |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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|
- split: test |
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path: data/test-* |
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- split: valid |
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path: data/valid-* |
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|
dataset_info: |
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|
features: |
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|
- 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 |
|
|
--- |
|
|
|
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|
# CommonForms: A Large, Diverse Dataset for Form Field Detection |
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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). |
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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. |
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**Key Features:** |
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* **Scale:** Roughly 55,000 documents comprising over 450,000 pages. |
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* **Source:** Constructed by filtering Common Crawl to find PDFs with fillable elements. |
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* **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. |
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* **Purpose:** The first large-scale dataset released for form field detection, aimed at fostering the development of robust form field detectors. |
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**Paper:** [CommonForms: A Large, Diverse Dataset for Form Field Detection](https://huggingface.co/papers/2509.16506) |
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**Code:** [https://github.com/jbarrow/commonforms](https://github.com/jbarrow/commonforms) |
