Update README.md

README.md

@@ -48,6 +48,8 @@ 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. 
+
 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...).
 
 Relevant Jupyter notebooks and Python scripts that use this dataset and related datasets and models can be found in the following GitHub repository: