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@@ -326,6 +326,26 @@ These configurations differ by sample size (50 or 100 comments) and task type:
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  `prior_most_freq`,
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  `prior_second_freq`
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  ---
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  ## Load the Dataset
 
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  `prior_most_freq`,
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  `prior_second_freq`
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+
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+ ---
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+
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+ ## Dataset Format
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+ Each benchmark instance corresponds to a distributional reading comprehension question.
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+ ```
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+ {
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+ "qid": < question id >,
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+ "qtype": < distribution type >,
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+ "answer": < answer (mode label or distribution depending on task) >,
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+ "ref_dist": < Ground-truth distribution over labels >,
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+ "question": < Full prompt shown to model (instruction + evidence + query) >,
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+ "source": "< entity name >",
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+ "meta_data": "< text evidence >",
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+ "comments": "< text evidence (if posterior)>",
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+ "condition": "< conditioning variable for P(s|t), P(t|s) >",
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+ }
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+ ```
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+
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+
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  ---
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  ## Load the Dataset