Update README.md

README.md

@@ -211,6 +211,8 @@ python hf-inference-cuda-example.py
 
 Modify hf-training-example.py, also feel free to use more or less lines of SD prompts examples in csv file:
 
+You may also prepare your own dataset, for example, with Positive and Negative and even Sampler etc lines interleaving in csv.
+
 ```
 MODEL = 'decapoda-research/llama-7b-hf'
 DATA_FILE_PATH = 'datasets/stable_diffusion_prompts.csv'
@@ -223,6 +225,12 @@ Then run the training, then after a long-long time, use something like this as p
 batch = tokenizer("A portrait of a beautiful girl, ", return_tensors="pt")
 ```
 
+If you have used dataset with Positive: Negative: lines, initial prompt may looks like:
+
+```
+batch = tokenizer("Positive: A warship flying thru the Wormhole, ", return_tensors="pt")
+```
+
 Run inference, this should return continued prompt.
 
 ## Reference