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metadata
language:
  - fa
license:
  - mit
multilinguality:
  - monolingual
task_categories:
  - language-modeling
  - masked-language-modeling
task_ids:
  - language-modeling
  - masked-language-modeling
pretty_name: naab-raw (raw version of the naab corpus)

naab-raw (raw version of the naab corpus)

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Table of Contents

Dataset Description

Dataset Summary

This is the raw (uncleaned) version of the naab corpus. You can use also customize our preprocess script and make your own cleaned corpus. This repository is a hub for all Farsi corpora. Feel free to add your corpus following the contribution guidelines.

Supported Tasks and Leaderboards

This corpus can be used for training all language models trained by Masked Language Modeling (MLM) or any other self-supervised objective.

  • language-modeling
  • masked-language-modeling

Dataset Structure

Each row of the dataset will look like something like the below:

{
  'text': "این یک تست برای نمایش یک پاراگراف در پیکره متنی ناب است.",
}
  • text : the textual paragraph.

Data Splits

This corpus contains only a split (the train split).

Dataset Creation

Curation Rationale

SOON

Contribution Guideline

Source Data

SOON

Personal and Sensitive Information

Since this corpus is briefly a compilation of some former corpora we take no responsibility for personal information included in this corpus. If you detect any of these violations please let us know, we try our best to remove them from the corpus ASAP.

We tried our best to provide anonymity while keeping the crucial information. We shuffled some parts of the corpus so the information passing through possible conversations wouldn't be harmful.

Additional Information

Dataset Curators

  • Sadra Sabouri (Sharif University of Technology)
  • Elnaz Rahmati (Sharif University of Technology)

Licensing Information

mit?

Citation Information

@misc{https://doi.org/10.48550/arxiv.2208.13486,
  doi = {10.48550/ARXIV.2208.13486},
  url = {https://arxiv.org/abs/2208.13486},
  author = {Sabouri, Sadra and Rahmati, Elnaz and Gooran, Soroush and Sameti, Hossein},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {naab: A ready-to-use plug-and-play corpus for Farsi},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
}

DOI:https://doi.org/10.48550/arXiv.2208.13486.

Contributions

Thanks to @sadrasabouri and @elnazrahmati for adding this dataset.

Keywords

  • Farsi
  • Persian
  • raw text
  • پیکره فارسی
  • پیکره متنی
  • آموزش مدل زبانی