README.md

metadata

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"
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
      • plain_text
    • Data Fields
      • plain_text
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Source Data
      • Initial Data Collection and Normalization
      • Who are the source language producers?
    • 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
    • Citation Information
    • Contributions

Dataset Description

• Homepage: https://github.com/BigData-IsfahanUni/PersianQuAD
• Repository: More Information Needed
• Paper: https://ieeexplore.ieee.org/document/9729745/
• Point of Contact: More Information Needed

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

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

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}
}