Datasets:
update: pairwise_prompt_eqbench3_analysis_en.txt
Browse files
data/pairwise_prompt_eqbench3_analysis_en.txt
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Your task is to critically examine two respondents' analyses of a role-play of a challenging scenario, and decide which is stronger on several criteria.
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[TRANSCRIPT BEING ANALYSED BY RESPONDENTS]
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{transcript_being_analysed}
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[/TRANSCRIPT BEING ANALYSED BY RESPONDENTS]
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[RESPONDENT A0493 ANALYSIS]
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{response_A}
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[/RESPONDENT A0493 ANALYSIS]
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[RESPONDENT A0488 ANALYSIS]
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{response_B}
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[/RESPONDENT A0488 ANALYSIS]
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Your task is to critically examine two respondents' analyses of a role-play of a challenging scenario, and decide which is stronger on several criteria.
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Compare the relative ability of each respondent on these criteria:
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1. Depth of insight
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2. Authentic EU (effortlessly demonstrates emotional understanding without overcompensating)
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3. Causal attribution (explaining behavior via underlying traits, motivations, emotions, subtext, and situational factors)
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4. Theory of mind
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5. Incisiveness (narrows in on the real stuff, avoids superficial psychobabble)
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6. Reading between the lines (identification of / insight into all the unspoken parts of the emotional & social landscape)
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7. Correctness
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8. Overall EQ
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Notes on the scenario to assist judging:
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{scenario_notes}
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Judging instructions:
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- You must always pick a winner for each criterion (no draws).
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- For the "winner & disparity rating" output, use a plus-based scale (“+” / “++” / “+++” / “++++” / “+++++”) after indicating the winner’s code (A0493 or A0488) to show how strongly they win that criterion.
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- For example, "A0391++" means A0391 is somewhat stronger, while "A0986+++++" means A0986 is overwhelmingly stronger.
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- Responses are commonly truncated to standardise output length. Simply judge what is there.
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- Be wary of "citation spam"; cited theories & studies should actually make sense contextually.
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- You are to judge only the *analysis* parts.
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Your response must be valid JSON without extra commentary, in the following structure (don't forget to escape any quotes and newlines inside strings). Use this format:
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{
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"chain_of_thought_reasoning": "detailed chain of thought reasoning about the coming scoring decisions",
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"depth_of_insight": "winner & disparity rating",
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"authentic_eu": "winner & disparity rating",
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"causal_attribution": "winner & disparity rating",
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"theory_of_mind": "winner & disparity rating",
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"incisiveness": "winner & disparity rating",
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"reading_between_lines": "winner & disparity rating",
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"correctness": "winner & disparity rating",
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"overall_eq": "winner & disparity rating"
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}
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