
# Dataset Card for Multipage Document Visual Question Answering (MP-DocVQA)

## Dataset Description

- **Homepage: [Robust Reading Competition Portal](https://rrc.cvc.uab.es/?ch=17&com=introduction)** 
- **Repository: [Robust Reading Competition Portal](https://rrc.cvc.uab.es/?ch=17&com=downloads)** 
- **Paper: [Hierarchical multimodal transformers for Multi-Page DocVQA](https://arxiv.org/abs/2212.05935.pdf])** 
- **Leaderboard: [Task 4 of DocVQA on the Robust Reading Competition Portal](https://rrc.cvc.uab.es/?ch=17&com=evaluation&task=4)**

### Dataset Summary

The dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of up to 20 pages per document.

### Download the Dataset

The dataset is not integrated with Huggingface yet. But you can download it from the [DocVQA Challenge](https://rrc.cvc.uab.es/?ch=17) in the RRC Portal, [Downloads section](https://rrc.cvc.uab.es/?ch=17&com=downloads).

### Leaderboard

You can also check the live leaderboard at the [RRC Portal](https://rrc.cvc.uab.es/?ch=17&com=evaluation&task=4)


## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

|          | Train | Validation | Test | Total |
|----------|:-----:|:-----------:|:------:|:-------:|
|**Questions** |36230 |   5187     |5019  | 46436 |
|**Documents** |5131 |   927     |959  | 5929 |
|**Pages / Images**     |37269 |   6510     |6223  | 47952 |

Note that some documents might appear in both validation and test set. But they are never seen during training.

### Citation Information

```tex
@article{tito2022hierarchical,
  title={Hierarchical multimodal transformers for Multi-Page DocVQA},
  author={Tito, Rub{\`e}n and Karatzas, Dimosthenis and Valveny, Ernest},
  journal={arXiv preprint arXiv:2212.05935},
  year={2022}
}
```


task_categories:question-answering task_categories:document-question-answering multilinguality:monolingual source_datasets:Single Page Document Visual Question Answering language:en license:mit arxiv:2212.05935 region:us
{"language": ["en"], "license": "mit", "multilinguality": ["monolingual"], "source_datasets": ["Single Page Document Visual Question Answering"], "task_categories": ["question-answering", "document-question-answering", "document-visual-question-answering"], "pretty_name": "MP-DocVQA (Multipage Document Visual Question Answering)"}
TAGS
#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us 

Dataset Card for Multipage Document Visual Question Answering (MP-DocVQA)
=========================================================================


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


* Homepage: Robust Reading Competition Portal
* Repository: Robust Reading Competition Portal
* Paper: Hierarchical multimodal transformers for Multi-Page DocVQA
* Leaderboard: Task 4 of DocVQA on the Robust Reading Competition Portal


### Dataset Summary


The dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of up to 20 pages per document.


### Download the Dataset


The dataset is not integrated with Huggingface yet. But you can download it from the DocVQA Challenge in the RRC Portal, Downloads section.


### Leaderboard


You can also check the live leaderboard at the RRC Portal


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


### Data Instances


### Data Fields


### Data Splits



Note that some documents might appear in both validation and test set. But they are never seen during training.



### Dataset Summary


The dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of up to 20 pages per document. ### Download the Dataset


The dataset is not integrated with Huggingface yet. But you can download it from the DocVQA Challenge in the RRC Portal, Downloads section. ### Leaderboard


You can also check the live leaderboard at the RRC Portal


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



Note that some documents might appear in both validation and test set. But they are never seen during training.
TAGS
#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us 
 ### Dataset Summary


The dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of up to 20 pages per document. ### Download the Dataset


The dataset is not integrated with Huggingface yet. But you can download it from the DocVQA Challenge in the RRC Portal, Downloads section. ### Leaderboard


You can also check the live leaderboard at the RRC Portal


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



Note that some documents might appear in both validation and test set. But they are never seen during training.
passage: TAGS
#task_categories-question-answering #task_categories-document-question-answering #multilinguality-monolingual #source_datasets-Single Page Document Visual Question Answering #language-English #license-mit #arxiv-2212.05935 #region-us 
### Dataset Summary


The dataset is aimed to perform Visual Question Answering on multipage industry scanned documents. The questions and answers are reused from Single Page DocVQA (SP-DocVQA) dataset. The images also corresponds to the same in original dataset with previous and posterior pages with a limit of up to 20 pages per document.### Download the Dataset


The dataset is not integrated with Huggingface yet. But you can download it from the DocVQA Challenge in the RRC Portal, Downloads section.### Leaderboard


You can also check the live leaderboard at the RRC Portal


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



Note that some documents might appear in both validation and test set. But they are never seen during training.