
# Dataset Card for WikiQAar

## 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

- **Homepage:** [WikiQaAr](https://github.com/qcri/WikiQAar)
- **Repository:** [WikiQaAr](https://github.com/qcri/WikiQAar)
- **Paper:** 
- **Point of Contact:** [Ines Abbes
](abbes.ines@yahoo.com)

### Dataset Summary

Arabic Version of WikiQA by automatic automatic machine translators 
and crowdsourced the selection of the best one to be incorporated into the corpus

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The dataset is based on Arabic.

## Dataset Structure

### Data Instances

Each data point contains the question and whether the answer is a valid or not.  

### Data Fields

- `question_id`: the question id.
- `question`: the question text.
- `document_id`: the wikipedia document id.
- `answer_id` : the answer id.
- `answer` : a candidate answer to the question. 
- `label` : 1 if the `answer` is correct or 0 otherwise. 

### Data Splits

The dataset is not split. 

|            |  train | validation |   test |
|------------|-------:|-----------:|-------:|
| Data split | 70,264 |     20,632 | 10,387 |

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

Translation of WikiQA. 

#### Who are the source language producers?

Translation of WikiQA.   

### Annotations

The dataset does not contain any additional annotations.

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},
        title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
      journal = {Association for Computational Linguistics},
         year = 2015,
          doi = {10.18653/v1/D15-1237},
        pages = {2013–2018},
}
```

### Contributions

Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset.
task_categories:question-answering task_ids:open-domain-qa annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:ar license:unknown region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"], "paperswithcode_id": "wikiqaar", "pretty_name": "English-Arabic Wikipedia Question-Answering", "dataset_info": {"features": [{"name": "question_id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "document_id", "dtype": "string"}, {"name": "answer_id", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "config_name": "plain_text", "splits": [{"name": "test", "num_bytes": 7563127, "num_examples": 20632}, {"name": "validation", "num_bytes": 3740721, "num_examples": 10387}, {"name": "train", "num_bytes": 26009979, "num_examples": 70264}], "download_size": 35226436, "dataset_size": 37313827}}
TAGS
#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-unknown #region-us 

Dataset Card for WikiQAar
=========================


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
-------------------


* Homepage: WikiQaAr
* Repository: WikiQaAr
* Paper:
* Point of Contact: Ines Abbes


### Dataset Summary


Arabic Version of WikiQA by automatic automatic machine translators
and crowdsourced the selection of the best one to be incorporated into the corpus


### Supported Tasks and Leaderboards


### Languages


The dataset is based on Arabic.


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


### Data Instances


Each data point contains the question and whether the answer is a valid or not.


### Data Fields


* 'question\_id': the question id.
* 'question': the question text.
* 'document\_id': the wikipedia document id.
* 'answer\_id' : the answer id.
* 'answer' : a candidate answer to the question.
* 'label' : 1 if the 'answer' is correct or 0 otherwise.


### Data Splits


The dataset is not split.



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


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


Translation of WikiQA.


#### Who are the source language producers?


Translation of WikiQA.


### Annotations


The dataset does not contain any additional 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


### Contributions


Thanks to @zaidalyafeai for adding this dataset.



### Dataset Summary


Arabic Version of WikiQA by automatic automatic machine translators
and crowdsourced the selection of the best one to be incorporated into the corpus ### Supported Tasks and Leaderboards ### Languages


The dataset is based on Arabic.


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


Each data point contains the question and whether the answer is a valid or not. ### Data Fields


* 'question\_id': the question id.
* 'question': the question text.
* 'document\_id': the wikipedia document id.
* 'answer\_id' : the answer id.
* 'answer' : a candidate answer to the question.
* 'label' : 1 if the 'answer' is correct or 0 otherwise. ### Data Splits


The dataset is not split.



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


Translation of WikiQA. #### Who are the source language producers?


Translation of WikiQA. ### Annotations


The dataset does not contain any additional 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 ### Contributions


Thanks to @zaidalyafeai for adding this dataset.
TAGS
#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-unknown #region-us 
 ### Dataset Summary


Arabic Version of WikiQA by automatic automatic machine translators
and crowdsourced the selection of the best one to be incorporated into the corpus ### Supported Tasks and Leaderboards ### Languages


The dataset is based on Arabic.


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


Each data point contains the question and whether the answer is a valid or not. ### Data Fields


* 'question\_id': the question id.
* 'question': the question text.
* 'document\_id': the wikipedia document id.
* 'answer\_id' : the answer id.
* 'answer' : a candidate answer to the question.
* 'label' : 1 if the 'answer' is correct or 0 otherwise. ### Data Splits


The dataset is not split.



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


Translation of WikiQA. #### Who are the source language producers?


Translation of WikiQA. ### Annotations


The dataset does not contain any additional 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 ### Contributions


Thanks to @zaidalyafeai for adding this dataset.