README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - fa
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - extended|wikipedia|google
task_categories:
  - question-answering
task_ids:
  - extractive-qa
paperswithcode_id: null
pretty_name: PersiNLU (Reading Comprehension)
dataset_info:
  features:
    - name: question
      dtype: string
    - name: url
      dtype: string
    - name: context
      dtype: string
    - name: answers
      sequence:
        - name: answer_start
          dtype: int32
        - name: answer_text
          dtype: string
  config_name: parsinlu-repo
  splits:
    - name: train
      num_bytes: 747679
      num_examples: 600
    - name: test
      num_bytes: 674711
      num_examples: 570
    - name: validation
      num_bytes: 163161
      num_examples: 125
  download_size: 4105495
  dataset_size: 1585527

Dataset Card for PersiNLU (Reading Comprehension)

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: Github
• Repository: Github
• Paper: Arxiv
• Leaderboard:
• Point of Contact: email

Dataset Summary

A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The text dataset is in Persian (fa).

Dataset Structure

Data Instances

Here is an example from the dataset:

{
    'question': 'پیامبر در چه سالی به پیامبری رسید؟', 
    'url': 'https://fa.wikipedia.org/wiki/%D9%85%D8%AD%D9%85%D8%AF', 
    'passage': 'محمد که از روش زندگی مردم مکه ناخشنود بود، گهگاه در غار حرا در یکی از کوه\u200cهای اطراف آن دیار به تفکر و عبادت می\u200cپرداخت. به باور مسلمانان، محمد در همین مکان و در حدود ۴۰ سالگی از طرف خدا به پیامبری برگزیده، و وحی بر او فروفرستاده شد. در نظر آنان، دعوت محمد همانند دعوت دیگر پیامبرانِ کیش یکتاپرستی مبنی بر این بود که خداوند (الله) یکتاست و تسلیم شدن برابر خدا راه رسیدن به اوست.', 
    'answers': [
        {'answer_start': 160, 'answer_text': 'حدود ۴۰ سالگی'}
     ]
}

Data Fields

• question: the question, mined using Google auto-complete.
• passage: the passage that contains the answer.
• url: the url from which the passage was mined.
• answers: a list of answers, containing the string and the index of the answer with the fields answer_start and answer_text. Note that in the test set, some answer_start values are missing and replaced with -1

Data Splits

The train/test split contains 600/575 samples.

Dataset Creation

Curation Rationale

The question were collected via Google auto-complete. The answers were annotated by native speakers. For more details, check the corresponding draft.

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

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

Dataset provided for research purposes only. Please check dataset license for additional information.

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

CC BY-NC-SA 4.0 License

Citation Information

@article{huggingface:dataset,
    title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
    authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
    year={2020}
    journal = {arXiv e-prints},
    eprint = {2012.06154},    
}

Contributions

Thanks to @danyaljj for adding this dataset.