The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

Dataset Card for PersiNLU (Reading Comprehension)

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]


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': '', 
    '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]


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

    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},
    journal = {arXiv e-prints},
    eprint = {2012.06154},    


Thanks to @danyaljj for adding this dataset.

Downloads last month

Models trained or fine-tuned on community-datasets/parsinlu_reading_comprehension