Summarization

You are comparing a summary to its original document and trying to determine
if the summary is good. Here is the data:

<data>

<summary>
{output}
</summary>

<original_document>
{input}
</original_document>

</data>

Compare the summary above to the original document and determine if the summary is
comprehensive, concise, coherent, and independent relative to the original document.
Your response must be a single word, either "good" or "bad", and should not contain any text
or characters aside from that. "bad" means that the summary is not comprehensive,
concise, coherent, and independent relative to the original document. "good" means the
summary is comprehensive, concise, coherent, and independent relative to the original document.

from phoenix.evals import ClassificationEvaluator
from phoenix.evals.llm import LLM

SUMMARIZATION_TEMPLATE = """You are comparing a summary to its original document and trying to determine
if the summary is good. Here is the data:

<data>

<summary>
{output}
</summary>

<original_document>
{input}
</original_document>

</data>

Compare the summary above to the original document and determine if the summary is
comprehensive, concise, coherent, and independent relative to the original document.
"bad" means that the summary is not comprehensive, concise, coherent, and independent relative to the original document.
"good" means the summary is comprehensive, concise, coherent, and independent relative to the original document."""

summarization_evaluator = ClassificationEvaluator(
    name="summarization",
    prompt_template=SUMMARIZATION_TEMPLATE,
    model=LLM(provider="openai", model="gpt-4o"),
    choices={"bad": 0, "good": 1},
)

result = summarization_evaluator.evaluate({
    "input": "Original document text here...",
    "output": "Summary text here..."
})