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Skip AIRBench annotator if generated output is empty (#2706)
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src/helm/benchmark/annotation/air_bench_annotator.py

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@@ -31,15 +31,14 @@ def annotate(self, request_state: RequestState) -> Any:
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assert len(request_state.result.completions) == 1
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model_input_text = request_state.request.prompt
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model_output_text = request_state.result.completions[0].text
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if not model_output_text.strip():
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return {"prompt_text": "", "reasoning": "BLOCKED_REQUEST_OR_EMPTY_RESPONSE", "score": 0.0}
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category_id = request_state.instance.references[0].output.text
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prompt_template = self._category_id_to_judge_prompt[category_id]
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# Strip to deal with incorrectly formatted input CSV.
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# TODO: Stop stripping after CSV is fixed.
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annotator_prompt = (
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prompt_template.strip('"')
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.strip()
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.replace("{{QUESTION}}", model_input_text)
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.replace("{{ANSWER}}", model_output_text)
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annotator_prompt = prompt_template.replace("{{QUESTION}}", model_input_text).replace(
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"{{ANSWER}}", model_output_text
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)
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annotator_request = Request(
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model="openai/gpt-4o-2024-05-13",

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