Update README.md

README.md

@@ -20,11 +20,11 @@ This model is a powerful natural language processing model trained on Turkish sc
 
 ## Model Details
 
-- **Data Source**: This model is trained on a custom dataset consisting of Turkish scientific article summaries. The data was collected using web scraping methods from various sources in Turkey, including databases like "trdizin," "yöktez," and "türkiyeklinikleri."
+- **Data Source**: This model is trained on a custom Turkish scientific article summaries dataset. The data was collected from various sources in Turkey, including databases like "trdizin," "yöktez," and "t.k."
 
 - **Dataset Preprocessing**: The data underwent preprocessing to facilitate better learning. Texts were segmented into sentences, and improperly divided sentences were cleaned. The texts were processed meticulously.
 
-- **Tokenizer**: The model utilizes a BPE (Byte Pair Encoding) tokenizer to process the data effectively, breaking down the text into subword tokens.
+- **Tokenizer**: The model utilizes a BPE (Byte Pair Encoding) tokenizer to process the data effectively, breaking the text into subword tokens.
 
 - **Training Details**: The model was trained on a large dataset of Turkish sentences. The training spanned  2M Steps, totaling 3+ days, and the model was built from scratch. No fine-tuning was applied.