metadata

task_categories:
  - text-generation
  - conversational
  - text2text-generation
language:
  - fa
size_categories:
  - 100M<n<1B

Degarbayan-SC: A Colloquial Paraphrase Farsi using pre-trained mT5

This is the Dataset of Degarbayan-SC paper. You can Finetune with this dataset on the transformers models using Github.

from datasets import load_dataset
dataset = load_dataset("m0javad/Degarbayan-SC-dataset")

Statistic

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