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@@ -5,8 +5,8 @@ license:
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  - mit
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  multilinguality:
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  - monolingual
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- size_categories:
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- - 200M<n<300M
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  task_categories:
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  - language-modeling
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  - masked-language-modeling
@@ -26,6 +26,7 @@ _[If you want to join our community to keep up with news, models and datasets fr
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  - [Dataset Summary](#dataset-summary)
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  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
 
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
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  - [Data Fields](#data-fields)
@@ -49,11 +50,12 @@ _[If you want to join our community to keep up with news, models and datasets fr
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  - **Point of Contact:** [Sadra Sabouri](mailto:sabouri.sadra@gmail.com)
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  ### Dataset Summary
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- SOON
 
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  ### Supported Tasks and Leaderboards
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- 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.
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  - `language-modeling`
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  - `masked-language-modeling`
@@ -71,7 +73,7 @@ Each row of the dataset will look like something like the below:
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  ### Data Splits
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- SOON
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  ## Dataset Creation
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  - mit
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  multilinguality:
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  - monolingual
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+ #size_categories:
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+ #- 200M<n<300M
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  task_categories:
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  - language-modeling
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  - masked-language-modeling
 
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  - [Dataset Summary](#dataset-summary)
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  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
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+ - [Changelog](#changelog)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
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  - [Data Fields](#data-fields)
 
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  - **Point of Contact:** [Sadra Sabouri](mailto:sabouri.sadra@gmail.com)
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  ### Dataset Summary
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+
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+ This is the raw (uncleaned) version of the [naab](https://huggingface.co/datasets/SLPL/naab) corpus. You can use also customize our [preprocess script](https://github.com/Sharif-SLPL/t5-fa/tree/main/preprocess) 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](#contribution-guideline).
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  ### Supported Tasks and Leaderboards
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+ This corpus can be used for training all language models trained by Masked Language Modeling (MLM) or any other self-supervised objective.
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  - `language-modeling`
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  - `masked-language-modeling`
 
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  ### Data Splits
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+ This corpus contains only a split (the `train` split).
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  ## Dataset Creation
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