# Winner

**Objective**: The test is intended to check which of the two responses are better according to the concept\_set provided. It can be used to test two model outputs or model output in comaparison to human output.

**Required Parameters**:

* **Response**: The sentence generated by the model using the words in concept\_set.
* **Expected\_Response**: The sentence generated by the model you want to compare or the ground truth.
* **Concept\_set**: A list of words in their root form, each tagged with its corresponding part of speech (e.g., "\_V" for verb, "\_N" for noun, "\_A" for adjective).

**Optional Parameters**:

* **model** (str, optional): The name of the language model to be used for task of evaluating responses. Defaults to "gpt-3.5-turbo".
* **temperature** (float,optional): This parameter allows you to adjust the randomness of the response generated by the specified model.
* **max\_tokens** (int,optional): This parameter allows you to specify the maximum length of the generated response.

**Interpretation**: 1 indicates model response is better than ground truth/other model response.

\
**Note**: Always use words in their root form in the concept set to focus on parts of speech application rather than word conjugation or inflection.

```python
# Example where model response is better than ground truth.
# Make sure you pass all words in concept_set in their root form.

evaluator.add_test(
    test_names=["winner_test"],
    data={
        "response" : "The family sits at the table with delicious food placed in front of them.",
        "expected_response" : "I sit at the front of the table and enjoy my food.",
        "concept_set" : ["food_N", "front_N", "sit_V", "table_N"]
    },
    arguments={"model": "gpt-4"},
).run()

evaluator.print_results()
```

```python
# Example where ground truth is better than model response.
# Make sure you pass all words in concept_set in their root form.

evaluator.add_test(
    test_names=["winner_test"],
    data={
        "response" : "A brown fox quickly jumps over a sleeping dog.",
        "expected_response" : "The quick brown fox jumps over the lazy dog.",
        "concept_set" : ["quick_V", "brown_A", "fox_N", "jump_V", "lazy_A", "dog_N"]
    },
    arguments={"model": "gpt-4"},
).run()

evaluator.print_results()
```


---

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