README.md

metadata

language:
  - fa
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 200M<n<300M
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 Card Creation Guide
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Contribution Guideline
    • Source Data
      • Initial Data Collection and Normalization
    • Personal and Sensitive Information
  • Additional Information
    • Dataset Curators
    • Licensing Information
    • Citation Information
    • Contributions

Dataset Description

• Homepage: Sharif Speech and Language Processing Lab
• Paper: If the dataset was introduced by a paper or there was a paper written describing the dataset, add URL here (landing page for Arxiv paper preferred)
• Point of Contact: Sadra Sabouri

Dataset Summary

SOON

Supported Tasks and Leaderboards

This corpus can be used for training all language models which can be 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

SOON

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