Update README.md

README.md

@@ -49,7 +49,7 @@ Prompts labeled as 'instruction' (0) are those containing straightforward questi
 
 An alternative naming convention for the labels is 'problem' (test) vs 'instruction' (learn). The earliest versions of the reddgr/tl-test-learn-prompt-classifier model used a zero-shot classification pipeline for those two specific terms: instruction (0) vs problem (1).
 
-Important note about accuracy metrics: coding questions, involving programming language syntax, are a category of their own and are typically difficult to categorize with this dataset. 
+Important note about accuracy metrics: coding questions, involving programming language syntax, are a often category of their own and are typically difficult to categorize with this dataset. This dataset contains several manually tagged coding examples, generally tagged as 'learn' (language models often mistake regular coding requests and questions with arithmetic problems).  
 
 This dataset and the model are part of a project aimed at identifying metrics to quantitatively measure the conversational quality of text generated by large language models (LLMs) and, by extension, any other type of text extracted from a conversational context (customer service chats, social media posts...).