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README.md
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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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## 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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## Load the Dataset
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