---
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}
}
```