| # Degarbayan-SC: A Colloquial Paraphrase Farsi using pre-trained mT5 | |
| This is the Dataset of [Degarbayan-SC paper](https://ieeexplore.ieee.org/abstract/document/9959983). | |
| You can Finetune with this dataset on the transformers models using [Github](https://https://github.com/m0javad/Degarbayan-SC). | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("m0javad/Degarbayan-SC-dataset") | |
| ``` | |
| ### Statistic | |
| ![Lenght of sentences](https://i.ibb.co/C1RJhTZ/lenght.jpg") | |
| 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. | |
| 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. | |
| ### contact | |
| contact me for contribution and future possible works at: mjaghajani.ai@gmail.com |