
# Dataset Card for FUNSD-vu2020revising

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Paper:** [https://arxiv.org/abs/2010.05322](https://arxiv.org/abs/2010.05322)

### Dataset Summary

This is the revised version of the [FUNSD dataset](https://huggingface.co/datasets/nielsr/funsd) as proposed by [Vu, H. M., & Nguyen, D. T. N. (2020)](https://arxiv.org/abs/2010.05322).

### Supported Tasks and Leaderboards

The Form Understanding challenge comprises three tasks, namely word grouping, semantic-entity labeling, and entity linking.

## Dataset Structure

### Data Instances

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Data Fields

The data fields are the same among all splits.

- `id`: a `string` feature - GUID.
- `words`: a `list` of `string` features.
- `bboxes`: a `list` of `list` with four (`int`) features.
- `ner_tags`: a `list` of classification labels (`int`). Full tagset with indices:

```python
{'O': 0, 'B-HEADER': 1, 'I-HEADER': 2, 'B-QUESTION': 3, 'I-QUESTION': 4, 'B-ANSWER': 5, 'I-ANSWER': 6}
```

- `image_path`: a `string` feature.

### Data Splits

|  name      |train|test|
|------------|----:|---:|
|FUNSD-vu2020|  149|  50|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

```
@article{vu2020revising,
        title={Revising FUNSD dataset for key-value detection in document images},
        author={Vu, Hieu M and Nguyen, Diep Thi-Ngoc},
        journal={arXiv preprint arXiv:2010.05322},
        year={2020}
}
```
multilinguality:monolingual language:en arxiv:2010.05322 region:us
{"language": ["en"], "multilinguality": ["monolingual"], "language_bcp47": ["en-US"]}
TAGS
#multilinguality-monolingual #language-English #arxiv-2010.05322 #region-us 

Dataset Card for FUNSD-vu2020revising
=====================================


Table of Contents
-----------------


* Table of Contents
* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Paper: URL


### Dataset Summary


This is the revised version of the FUNSD dataset as proposed by Vu, H. M., & Nguyen, D. T. N. (2020).


### Supported Tasks and Leaderboards


The Form Understanding challenge comprises three tasks, namely word grouping, semantic-entity labeling, and entity linking.


Dataset Structure
-----------------


### Data Instances


### Data Fields


The data fields are the same among all splits.


* 'id': a 'string' feature - GUID.
* 'words': a 'list' of 'string' features.
* 'bboxes': a 'list' of 'list' with four ('int') features.
* 'ner\_tags': a 'list' of classification labels ('int'). Full tagset with indices:
* 'image\_path': a 'string' feature.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information



### Dataset Summary


This is the revised version of the FUNSD dataset as proposed by Vu, H. M., & Nguyen, D. T. N. (2020). ### Supported Tasks and Leaderboards


The Form Understanding challenge comprises three tasks, namely word grouping, semantic-entity labeling, and entity linking.


Dataset Structure
----------------- ### Data Instances ### Data Fields


The data fields are the same among all splits.


* 'id': a 'string' feature - GUID.
* 'words': a 'list' of 'string' features.
* 'bboxes': a 'list' of 'list' with four ('int') features.
* 'ner\_tags': a 'list' of classification labels ('int'). Full tagset with indices:
* 'image\_path': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information
TAGS
#multilinguality-monolingual #language-English #arxiv-2010.05322 #region-us 
 ### Dataset Summary


This is the revised version of the FUNSD dataset as proposed by Vu, H. M., & Nguyen, D. T. N. (2020). ### Supported Tasks and Leaderboards


The Form Understanding challenge comprises three tasks, namely word grouping, semantic-entity labeling, and entity linking.


Dataset Structure
----------------- ### Data Instances ### Data Fields


The data fields are the same among all splits.


* 'id': a 'string' feature - GUID.
* 'words': a 'list' of 'string' features.
* 'bboxes': a 'list' of 'list' with four ('int') features.
* 'ner\_tags': a 'list' of classification labels ('int'). Full tagset with indices:
* 'image\_path': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information
passage: TAGS
#multilinguality-monolingual #language-English #arxiv-2010.05322 #region-us 
### Dataset Summary


This is the revised version of the FUNSD dataset as proposed by Vu, H. M., & Nguyen, D. T. N. (2020).### Supported Tasks and Leaderboards


The Form Understanding challenge comprises three tasks, namely word grouping, semantic-entity labeling, and entity linking.


Dataset Structure
-----------------### Data Instances### Data Fields


The data fields are the same among all splits.


* 'id': a 'string' feature - GUID.
* 'words': a 'list' of 'string' features.
* 'bboxes': a 'list' of 'list' with four ('int') features.
* 'ner\_tags': a 'list' of classification labels ('int'). Full tagset with indices:
* 'image\_path': a 'string' feature.### Data Splits



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations


Additional Information
----------------------### Dataset Curators### Licensing Information