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  ## ParsBERT: Transformer-based Model for Persian Language Understanding
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  ParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base.
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  **Download**
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  You can download the dataset from [here](http://nsurl.org/tasks/task-7-named-entity-recognition-ner-for-farsi/)
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- ---
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-
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- ### ARMAN
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-
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- ARMAN dataset holds 7,682 sentences with 250,015 sentences tagged over six different classes.
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- 1. Organization
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- 2. Location
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- 3. Facility
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- 4. Event
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- 5. Product
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- 6. Person
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-
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- | Label | # |
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- |:------------:|:-----:|
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- | Organization | 30108 |
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- | Location | 12924 |
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- | Facility | 4458 |
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- | Event | 7557 |
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- | Product | 4389 |
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- | Person | 15645 |
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-
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- **Download**
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- You can download the dataset from [here](https://github.com/HaniehP/PersianNER)
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  ## Results
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  The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures.
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- | Dataset | ParsBERT | MorphoBERT | Beheshti-NER | LSTM-CRF | Rule-Based CRF | BiLSTM-CRF |
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- |:---------------:|:--------:|:----------:|:--------------:|:----------:|:----------------:|:------------:|
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- | ARMAN + PEYMA | 95.13* | - | - | - | - | - |
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- | PEYMA | 98.79* | - | 90.59 | - | 84.00 | - |
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- | ARMAN | 93.10* | 89.9 | 84.03 | 86.55 | - | 77.45 |
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  ## How to use :hugs:
 
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+ ---
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+ language: fa
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+ license: apache-2.0
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+ ---
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+
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  ## ParsBERT: Transformer-based Model for Persian Language Understanding
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  ParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base.
 
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  **Download**
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  You can download the dataset from [here](http://nsurl.org/tasks/task-7-named-entity-recognition-ner-for-farsi/)
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  ## Results
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  The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures.
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+ | Dataset | ParsBERT | MorphoBERT | Beheshti-NER | LSTM-CRF | Rule-Based CRF | BiLSTM-CRF |
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+ |---------|----------|------------|--------------|----------|----------------|------------|
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+ | PEYMA | 98.79* | - | 90.59 | - | 84.00 | - |
 
 
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  ## How to use :hugs: