code: def smoothen_convo(conversation, opt):
      """
      Aggregates contiguous responses by the same speaker in the data so that data
      eventually contains alternations between USER and ASSISTANT.
  
      :param conversation:
          The dialogue between USER and ASSISTANT with possible multiple contiguous
          speeches by the same speaker
      :param opt:
          options dict, mainly useful for accessing value of exclude_invalid_data
      """
      dialogue = conversation["utterances"]
      conversation_stack = []
      for speech in dialogue:
          if (
              conversation_stack
              and speech["speaker"] == conversation_stack[-1]["speaker"]
          ):
              conversation_stack.append(
                  join_speech(conversation_stack.pop(), speech)
              )
          else:
              conversation_stack.append(speech)
      processed_conversation = []
      corrupt = False
      for speech in conversation_stack:
          if (
              opt.get("exclude_invalid_data", True)
              and "ctr" in speech
              and speech["ctr"] > 5
          ):
              corrupt = True
          processed_conversation += [speech]
      return update_indexes(processed_conversation), corrupt
  
imports: from .build import build
  import os
label_desc: Use image node_id 5 for calling a global function with example usage: smoothen_convo(conversation, opt) and returns: update_indexes,  corrupt