Update Readme.md

README.md

@@ -283,6 +283,28 @@ We used **Google Colab with an NVIDIA A100 80 GB GPU** for training and inferenc
 | MCQ adapter: fourth epoch | 06:34:17 |
 | **Total training time** | **39:45:54** |
 
+## Repository structure
+
+- [data/](./data)
+  - [All_Grades_direct_QA_dataset.json](./data/All_Grades_direct_QA_dataset.json)
+  - [MCQ_dataset.json](./data/MCQ_dataset.json)
+- [training/](./training)
+  - [MCQ_preprocessing_and_visualization.ipynb](./training/MCQ_preprocessing_and_visualization.ipynb)
+  - [McqAdapterTraining/](./training/McqAdapterTraining)
+    - [MCQ_Qwen3_5_4B_ZeroShot_LoRA_Colab_v2.ipynb](./training/McqAdapterTraining/MCQ_Qwen3_5_4B_ZeroShot_LoRA_Colab_v2.ipynb)
+    - [Qwen3_5_4B_MCQ_v2_Continue_3_to_4epochs_LR1e_5__v2 (1).ipynb](./training/McqAdapterTraining/Qwen3_5_4B_MCQ_v2_Continue_3_to_4epochs_LR1e_5__v2%20%281%29.ipynb)
+  - [SyntheticDirectQATraining/](./training/SyntheticDirectQATraining)
+    - [Qwen3_5_4B_Sinhala_FRESH_16bit_LoRA_Training (3).ipynb](./training/SyntheticDirectQATraining/Qwen3_5_4B_Sinhala_FRESH_16bit_LoRA_Training%20%283%29.ipynb)
+    - [Qwen3_5_4B_Sinhala_Continue_From_11k_LowLR_3or4_Epochs (2).ipynb](./training/SyntheticDirectQATraining/Qwen3_5_4B_Sinhala_Continue_From_11k_LowLR_3or4_Epochs%20%282%29.ipynb)
+- [inference.ipynb](./inference.ipynb)
+- [predictions.jsonl](./predictions.jsonl)
+- [architecture.jpeg](./architecture.jpeg)
+- [subject-distribution.png](./subject-distribution.png)
+- [difficulty-distribution.png](./difficulty-distribution.png)
+- [README.md](./README.md)
+- [.gitattributes](./.gitattributes)
+
+  
 ## Achieved results
 
 <!-- Add the official shared-task results below. -->