Update README.md

README.md

@@ -79,23 +79,23 @@ FastLanguageModel.for_inference(model)
 # Define the instruction for aspect extraction
 instructabsa_instruction = """Definition: The output will be the aspects (both implicit and explicit) which have an associated opinion that are extracted from the input text. In cases where there are no aspects the output should be noaspectterm.
 Positive example 1-
-input: I charge it at night and skip taking the cord with me because of the good battery life.
-output: battery life
+input: With the great variety on the menu, I eat here often and never get bored.
+output: menu
 Positive example 2-
-input: I even got my teenage son one, because of the features that it offers, like, iChat, Photobooth, garage band and more!.
-output: features, iChat, Photobooth, garage band
+input: Great food, good size menu, great service and an unpretensious setting.
+output: food, menu, service, setting
 Negative example 1-
-input: Speaking of the browser, it too has problems.
-output: browser
+input: They did not have mayonnaise, forgot our toast, left out ingredients (ie cheese in an omelet), below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it.
+output: toast, mayonnaise, bacon, ingredients, plate
 Negative example 2-
-input: The keyboard is too slick.
-output: keyboard
+input: The seats are uncomfortable if you are sitting against the wall on wooden benches.
+output: seats
 Neutral example 1-
-input: I took it back for an Asus and same thing- blue screen which required me to remove the battery to reset.
-output: battery
+input: I asked for seltzer with lime, no ice.
+output: seltzer with lime
 Neutral example 2-
-input: Nightly my computer defrags itself and runs a virus scan.
-output: virus scan
+input: They wouldnt even let me finish my glass of wine before offering another.
+output: glass of wine
 Now complete the following example:"""
 alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 ### Instruction: