task_categories:text-generation task_categories:conversational size_categories:1K<n<10K language:fa license:apache-2.0 region:us
---
license: apache-2.0
task_categories:
- text-generation
- conversational
language:
- fa
size_categories:
- 1K<n<10K
---

# Persian_ChatBot_dataset_Fine_Tuning_Alpaca_Model
Persian ChatBot dataset, fine-tune LLaMa on instructed data (preprocessed alpaca dataset). [GitHub](https://github.com/AliEdalat/ChatBot_for_persian_LLaMA_fine_tune.git)

- we use [preprocessed alpaca dataset](https://github.com/thisserand/alpaca-lora-finetune-language.git) as a dataset. we translate no_translate data to persian with [mt5](https://huggingface.co/persiannlp/mt5-large-parsinlu-translation_en_fa). ([train dataset](https://huggingface.co/datasets/AliEdalat/Persian_ChatBot_dataset_Fine_Tuning_Alpaca_Model/tree/main) and [test data](https://huggingface.co/datasets/AliEdalat/Persian_ChatBot_dataset_Fine_Tuning_Alpaca_Model/tree/main) with 2k example is ready)
- we use LLaMA as a generative model for creating a chatbot model. we fine-tune the model with our Persian dataset and test it.
- for improving ChatBot performance, replace "برای اینکه این کار را بکنم" with ""