nli.py

nli_prompt = RagasPrompt(
    instruction="""Natural language inference. Use only "Yes" (1) or "No" (0) as a binary verdict.""",
    examples=[
        {
            "Context":"""John is a student at XYZ University. He is pursuing a degree in Computer Science. He is enrolled in several courses this semester, including Data Structures, Algorithms, and Database Management. John is a diligent student and spends a significant amount of time studying and completing assignments. He often stays late in the library to work on his projects.
                        statement_1: John is majoring in Biology.
                        statement_2: John is taking a course on Artificial Intelligence. 
                        statement_3: John is a dedicated student. 
                        statement_4: John has a part-time job.""",
            "Answer":"""[
            {
                "statement_1": "John is majoring in Biology.",
                "reason": "John's major is explicitly mentioned as Computer Science. There is no information suggesting he is majoring in Biology.",
                "verdict": "0"
            },
            {
                "statement_2": "John is taking a course on Artificial Intelligence.",
                "reason": "The context mentions the courses John is currently enrolled in, and Artificial Intelligence is not mentioned. Therefore, it cannot be deduced that John is taking a course on AI.",
                "verdict": "0"
            },
            {
                "statement_3": "John is a dedicated student.",
                "reason": "The context states that he spends a significant amount of time studying and completing assignments. Additionally, it mentions that he often stays late in the library to work on his projects, which implies dedication.",
                "verdict": "1"
            },
            {
                "statement_4": "John has a part-time job.",
                "reason": "There is no information given in the context about John having a part-time job.",
                "verdict": "0"
            }]
            """
        }
    ],
    input_keys=["Context"],
    output_key="Answer",
    output_type="JSON"
)