Update README.md

README.md

@@ -13,9 +13,9 @@ pipeline_tag: text2text-generation
 
 # ate_tk-instruct-base-def-pos-neg-neut-combined
 This model is finetuned for the Aspect Term Extraction (ATE) subtask. The finetuning was carried out by adding prompts of the form: 
- - definition + 2 positive examples + 2 negative examples + 2 neutral examples.
+ - definition + 2 positive examples
 
-The prompt is prepended onto each input review. It is important to note that **this model output was finetuned on samples from both laptops and restaurants domains.**
+The prompt is prepended onto each input review. It is important to note that **this model output was finetuned on samples from the restaurants domains.**
 The code for the official implementation of the paper [**InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis**](https://arxiv.org/abs/2302.08624) can be 
 found [here](https://github.com/kevinscaria/InstructABSA).