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|translated|mnli
task_categories:
  - textual-entailment
  - natural-language-inference
task_ids:
  - textual-entailment
  - natural-language-inference

Dataset Card for PersiNLU (Textual Entailment)

Table of Contents

• Dataset Card for PersiNLU (Textual Entailment)
  • 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 textual entailment task (deciding sent1 entails sent2). The questions are partially translated from the SNLI dataset and partially generated by expert annotators.

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:

{
  "sent1": "سالها است که کنگره در تلاش است تا اثربخشی مدیریت اطلاعات و فناوری را در دولت فدرال افزایش دهد.",
  "sent2": "کنگره بودجه ویژه ای برای مدیریت اطلاعات و فناوری در دولت فدرال دارد.",
  "label": "n",
  "category": "translation-train"
}

Data Fields

• sent1: the first sentence.
• sent2: the second sentence.
• source: whether the questions are translated from MNLI (translation-.) or they're written by native speakers (natural-.).
• label: e if sent2 is entailed from sent1; c if sent2 is contradictory to sent1; n if the two sentences are neutral.

Data Splits

The train/dev/test splits contains 756/271/1751 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.