Repository: explodinggradients/ragas
Issue: Can this part of the code be applied to Chinese scenarios
Root cause: Architectural Constraint

[ ] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.

**Your Question**
Can this part of the code be **applied to Chinese scenarios**? I see there are many places in the code that enforce English directly.
- such as, the below part1,  ``sentence for sentence in sentences if sentence.strip().endswith(".")``
- the below part2, ``language="english",``

**Code Examples**
    
    # code in _faithfulness.py
    @dataclass
    class Faithfulness(MetricWithLLM):
        ...

        def _create_statements_prompt(self, row: t.Dict) -> PromptValue:
            assert self.sentence_segmenter is not None, "sentence_segmenter is not set"

            text, question = row["answer"], row["question"]
            sentences = self.sentence_segmenter.segment(text)
            sentences = [
                sentence for sentence in sentences if sentence.strip().endswith(".")
            ]
            sentences = "\n".join([f"{i}:{x}" for i, x in enumerate(sentences)])
            prompt_value = self.statement_prompt.format(
                question=question, answer=text, sentences=sentences
            )
            return prompt_value


**Code Examples**

    LONG_FORM_ANSWER_PROMPT = Prompt(
        name="long_form_answer",
        output_format_instruction=_statements_output_instructions,
        instruction="Given a question, an answer, and sentences from the answer analyze the complexity of each sentence given under 'sentences' and break down each sentence into one or more fully understandable statements while also ensuring no pronouns are used in each statement. Format the outputs in JSON.",
        examples=[
            {
                "question": "Who was Albert Einstein and what is he best known for?",
                "answer": "He was a German-born theoretical physicist, widely acknowledged to be one of the greatest and most influential physicists of all time. He was best known for developing the theory of relativity, he also made important contributions to the development of the theory of quantum mechanics.",
                "sentences": """
            0:He was a German-born theoretical physicist, widely acknowledged to be one of the greatest and most influential physicists of all time. 
            1:He was best known for developing the theory of relativity, he also made important contributions to the development of the theory of quantum mechanics.
            """,
                "analysis": StatementsAnswers.parse_obj(
                    [
                        {
                            "sentence_index": 0,
                            "simpler_statements": [
                                "Albert Einstein was a German-born theoretical physicist.",
                                "Albert Einstein is recognized as one of the greatest and most influential physicists of all time.",
                            ],
                        },
                        {
                            "sentence_index": 1,
                            "simpler_statements": [
                                "Albert Einstein was best known for developing the theory of relativity.",
                                "Albert Einstein also made important contributions to the development of the theory of quantum mechanics.",
                            ],
                        },
                    ]
                ).dicts(),
            }
        ],
        input_keys=["question", "answer", "sentences"],
        output_key="analysis",
        language="english",
    )

hey @w666x that is a very valuable suggestion and we would love to work on this but we don't know Chinese so if you have a usecase, could you help us here?

I'm assuming you have also checked out https://docs.ragas.io/en/stable/concepts/prompt_adaptation.html which helps you adapt the prompts to Chinese automatically. would that help you?