Datasets:
Tasks:
Question Answering
Sub-tasks:
open-domain-qa
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
File size: 4,498 Bytes
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---
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
---
# 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. |