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)
[If you want to join our community to keep up with news, models and datasets from naab, click on this link.]
Table of Contents
- Dataset Card Creation Guide
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
Provide the BibTex-formatted reference for the dataset. For example:
@article{article_id,
author = {Author List},
title = {Dataset Paper Title},
journal = {Publication Venue},
year = {2525}
}
If the dataset has a DOI, please provide it here.
Contributions
Thanks to @sadrasabouri and @elnazrahmati for adding this dataset.
Keywords
- Farsi
- Persian
- raw text
- پیکره فارسی
- پیکره متنی
- آموزش مدل زبانی