Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Sub-tasks:
extractive-qa
Languages:
Persian
Size:
10K - 100K
License:
File size: 5,141 Bytes
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---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- fa
license: other
multilinguality:
- monolingual
size_categories:
- 1K<n<20K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: PersianQuAD
pretty_name: PersianQuAD
dataset_info:
config_name: default
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: is_impossible
dtype: bool
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
splits:
- name: train
num_bytes: 22790144
num_examples: 18567
- name: test
num_bytes: 385787
num_examples: 1000
download_size: 23175931
dataset_size: 23175931
configs:
- config_name: default
data_files:
- split: train
path: train.json
- split: test
path: test.json
default: true
train-eval-index:
- config: default
task: question-answering
task_id: extractive_question_answering
splits:
train_split: train
test_split: test
col_mapping:
question: question
context: context
answers:
text: text
answer_start: answer_start
metrics:
- type: squad
name: SQuAD
---
# Dataset Card for PersianQuAD
## Table of Contents
- [Dataset Card for "PersianQuAD"](#dataset-card-for-PersianQuAD)
- [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)
- [plain_text](#plain_text)
- [Data Fields](#data-fields)
- [plain_text](#plain_text-1)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Annotations](#annotations)
- [Annotation process](#annotation-process)
- [Who are the annotators?](#who-are-the-annotators)
- [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:** https://github.com/BigData-IsfahanUni/PersianQuAD
- **Repository:** [More Information Needed](https://github.com/BigData-IsfahanUni/PersianQuAD/tree/main/Dataset)
- **Paper:** https://ieeexplore.ieee.org/document/9729745/
- **Point of Contact:** [More Information Needed](https://bigdata-ui.ir/fa/home-fa/#how-to-contribute-to-the-dataset-cards)
### Dataset Summary
The Native Question Answering Dataset for the Persian Language
### Supported Tasks and Leaderboards
Question Answering.
### Languages
Persian(`fa`).
## Dataset Structure
### Data Instances
#### plain_text
- **Size of downloaded dataset files:** 22.1 MB
An example of 'train' looks as follows.
```
{
"answers": {
"answer_start": [1],
"text": ["This is a test text"]
},
"context": "This is a test context.",
"id": "1",
"question": "Is this a test?",
"title": "train test"
}
```
### Data Fields
The data fields are the same among all splits.
#### plain_text
- `id`: a `string` feature.
- `title`: a `string` feature.
- `context`: a `string` feature.
- `question`: a `string` feature.
- `answers`: a dictionary feature containing:
- `text`: a `string` feature.
- `answer_start`: a `int32` feature.
### Data Splits
| name |train|test|
|----------|----:|---:|
|plain_text|18567|1000|
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/BigData-IsfahanUni/PersianQuAD)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/BigData-IsfahanUni/PersianQuAD)
#### Who are the source language producers?
[More Information Needed](https://github.com/BigData-IsfahanUni/PersianQuAD)
## Additional Information
### Licensing Information
The dataset is distributed under the other license.
### Citation Information
```
@ARTICLE{PersianQuAD-Access,
author={Kazemi, Arefeh and Mozafari, Jamshid and Nematbakhsh, Mohammad Ali},
journal={IEEE Access},
title={PersianQuAD: The Native Question Answering Dataset for the Persian Language},
year={2022},
volume={10},
number={},
pages={26045-26057},
doi={10.1109/ACCESS.2022.3157289}
}
```
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