Update README.md

README.md

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 **TibbScholar** is a specialized, 3-billion-parameter language model fine-tuned for medical question-answering. It is based on Meta's `Llama-3.2-3B` model and is designed to serve as an informational tool for educational and research purposes.
 
-This model was trained on a large subset of the [MIRIAD-4.4M dataset](https://huggingface.co/datasets/omir/MIRIAD) to provide concise, structured answers to medical queries.
+This model was trained on a large subset of the [MIRIAD-4.4M dataset](https://huggingface.co/datasets/miriad/miriad-4.4M) to provide concise, structured answers to medical queries.
 
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 ## 📌 Model Details
 
 - **Base Model**: `unsloth/Llama-3.2-3B-unsloth-bnb-4bit`
-- **Fine-tuning Dataset**: A **100,000** record subset of [MIRIAD-4.4M](https://huggingface.co/datasets/omir/MIRIAD).
+- **Fine-tuning Dataset**: A **100,000** record subset of [MIRIAD-4.4M](https://huggingface.co/datasets/miriad/miriad-4.4M).
 - **Prompt Format**: A simple Question/Answer structure (see below).
 - **Training Framework**: Fine-tuned using [Unsloth AI's](https://github.com/unslothai/unsloth) library with QLoRA for efficient training.