Task: Multi-Turn / Non-Consistency
User instruction:
You need to write a Python script to evaluate chatbot conversations. The requirements are as follows:

- The input is a list of dictionaries.
- Each dictionary is structured as  {"role":"{role}", "content": "{content}"}.
- The role can be either ""user"" or ""bot"", and the list alternates between ""user"" and ""bot"" in the order of user -> bot -> user -> bot, etc., which constitutes a conversation.
- The list needs to be decomposed into a single string, formatted as follows:
```

user:

{user content}


bot:

{bot content}


user:
{user content}


...

```
- The transformed string is then passed to a verify function via a REST API call. The verify function returns a list of scores for each bot response.
-  The goal is to append the list of scores for each bot response to the input list and return it.
-  In summary, a list of dictionaries in the conversations structure is input, and the script should obtain the scores for the bot responses through the verify function, concatenate them to the input list, and return the result."

Let's write that test code briefly as well.
How should we verify? We’ll be passing this to the evaluation chatbot as well, so I think we need to provide appropriate criteria in natural language. This time, instead of code, give me a few suitable evaluation criteria. The domains are as follows:
- Document translation
- Document summarization
- Code editing
- Solving mathematical and logical problems

Evaluation criteria:
Write a Python script that meets the requirements.
The Python script must run without errors.
The script must include a step that converts the input list into a single string in the specified format.
The script must include a step that retrieves a score list via a REST API call using the converted string.
The script should ultimately concatenate the score of each bot response to the input list and return it.
Write an appropriate test script in Python that meets the requirements from the previous turn.
The script must run without any execution errors.
Provide examples that verify the previously implemented features.
Appropriate evaluation criteria must be proposed for the four given domains.
The evaluation criteria should be written in natural language.