Task Categories: translation
Languages: fa
Multilinguality: fa en
Size Categories: 1K<n<10K
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: extended

Dataset Card for PersiNLU (Machine Translation)

Dataset Summary

A Persian translation dataset (English -> Persian).

Supported Tasks and Leaderboards

[More Information Needed]


The text dataset is in Persian (fa) and English (en).

Dataset Structure

Data Instances

Here is an example from the dataset:

    "source": "how toil to raise funds, propagate reforms, initiate institutions!", 
    "targets": ["چه زحمت‌ها که بکشد تا منابع مالی را تامین کند اصطلاحات را ترویج کند نهادهایی به راه اندازد."],  
    "category": "mizan_dev_en_fa"

Data Fields

  • source: the input sentences, in English.
  • targets: the list of gold target translations in Persian.
  • category: the source from which the dataset is mined.

Data Splits

The train/de/test split contains 1,621,666/2,138/48,360 samples.

Dataset Creation

Curation Rationale

For 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

[More Information Needed]

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.

Models trained or fine-tuned on persiannlp/parsinlu_translation_en_fa

None yet