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Update README.md
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README.md
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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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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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- [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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### Supported Tasks and Leaderboards
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This corpus can be used for training all language models
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- `language-modeling`
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- `masked-language-modeling`
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### Data Splits
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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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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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