README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - fa
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - fa
  - en
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
task_categories:
  - translation
task_ids: []

Dataset Card for PersiNLU (Machine Translation)

Table of Contents

• Dataset Card for PersiNLU (Machine Translation)
  • 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
      • 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: Github
• Repository: Github
• Paper: Arxiv
• Leaderboard:
• Point of Contact: [email protected]

Dataset Summary

A Persian translation dataset (English -> Persian).

Supported Tasks and Leaderboards

[More Information Needed]

Languages

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]

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

[More Information Needed]

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.