Update README.md

README.md

@@ -33,7 +33,8 @@ The model is used to generate clinical notes from doctor-patient conversation da
 - When the input data is composed of very minimal character tokens or if input is very large it starts to hallucinate. 
 
 
-### TEST DATA Sample For Inference (More given in `test.txt`)
+### TEST DATA Sample For Inference (More given in [`test.txt`](https://huggingface.co/har1/HealthScribe-Clinical_Note_Generator/blob/main/test.txt))
+```
 "Doctor: Hi there, I love that dress, very pretty! 
 Patient: Thank you for complementing a seventy-two-year-old patient.
 Doctor: No, I mean it, seriously. Okay, so you were admitted here in May two thousand nine. You have a history of hypertension, and on June eighteenth two thousand nine you had bad abdominal pain diarrhea and cramps.
@@ -48,21 +49,23 @@ Doctor: Okay. Anything else any other symptoms?
 Patient: Actually no. Everything's well.
 Doctor: Great.
 Patient: Yeah."
-
+```
 
 ## Training and evaluation data
 
-It achieves the following results on the evaluation set:
-- Loss: 0.1562
-- Rouge1: 54.3238
-- Rouge2: 34.2678
-- Rougel: 46.5847
-- Rougelsum: 51.2214
-- Gen Len: 77.04
+The model achieves the following results on the evaluation set:
+
+- **Loss:** 0.1562
+- **Rouge1:** 54.3238
+- **Rouge2:** 34.2678
+- **Rougel:** 46.5847
+- **Rougelsum:** 51.2214
+- **Generation Length:** 77.04
+
 
 ## Training procedure
 
-The model was trained on 1201 training samples and 100 validation samples of the modified [MTS-Dialog]()
+The model was trained on 1201 training samples and 100 validation samples of the modified [MTS-Dialog](https://huggingface.co/datasets/har1/MTS_Dialogue-Clinical_Note)
 
 ### Training hyperparameters