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--- |
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task_categories: |
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- text-generation |
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- conversational |
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- text2text-generation |
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language: |
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- fa |
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size_categories: |
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- 100M<n<1B |
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--- |
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# Degarbayan-SC: A Colloquial Paraphrase Farsi using pre-trained mT5 |
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This is the Dataset of [Degarbayan-SC paper](https://ieeexplore.ieee.org/abstract/document/9959983). |
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You can Finetune with this dataset on the transformers models using [Github](https://https://github.com/m0javad/Degarbayan-SC). |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("m0javad/Degarbayan-SC-dataset") |
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``` |
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### Statistic |
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![Lenght of sentences](https://i.ibb.co/C1RJhTZ/lenght.jpg") |
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our sentence length distribution is between 3 and 19 words and sentences are an average of 8 words. This makes sense because in the movie subtitles, sentences are shown in a range of time and we matched them with timespans. Humans can say a certain number of words in a certain period of time. Our collected sentences have 128,699 unique words. |
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as you see in the table above, our dataset contains a large number of paraphrasing sentences in various forms such syntactic, semantic and conceptual paraphrases. |
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### contact |
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contact me for contribution and future possible works at: [email protected] |
