Datasets:
update: pairwise_prompt_eqbench3_en.txt
Browse files
data/pairwise_prompt_eqbench3_en.txt
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[RESPONDENT A0493]
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{conversation_history_A}
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---
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User:
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/Scene
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Ok let's debrief.
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---
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Assistant:
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{debrief_A}
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[/RESPONDENT A0493]
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[RESPONDENT A0488]
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{conversation_history_B}
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---
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User:
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/Scene
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Ok let's debrief.
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---
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Assistant:
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{debrief_B}
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[/RESPONDENT A0488]
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Your task is to critically examine two respondents role-playing a challenging scenario (from Respondents A0493 and A0488), and decide which displays each trait more strongly.
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Compare the relative ability of each respondent on these criteria:
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1. Demonstrated empathy (not just performative)
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2. Pragmatic EI
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3. Depth of insight
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4. Social dexterity
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5. Emotional reasoning
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6. Appropriate validation and/or challenging for the scene
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7. Message tailoring: Appropriate targeting of response to where the user is at
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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 aware that a highly detailed, detached analytical response to the user is not always appropriate in the context of an organic chat or a role play. This isn't a hard & fast rule; use your judgement.
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- The "assistant" messages as well as the debrief are authored by the assistant. Base your evaluation on the EQ displayed in their roleplay and their self assessment.
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- The user messages are always canned; don't judge them at all, your only focus is on the assistant.
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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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"demonstrated_empathy": "winner & disparity rating",
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"pragmatic_ei": "winner & disparity rating",
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"depth_of_insight": "winner & disparity rating",
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"social_dexterity": "winner & disparity rating",
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"emotional_reasoning": "winner & disparity rating",
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"appropriate_validating_challenging": "winner & disparity rating",
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"message_tailoring": "winner & disparity rating",
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"overall_eq": "winner & disparity rating",
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}
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