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@@ -82,7 +82,18 @@ The corpus is based on the dataset introduced by Pang and Lee (2005) and consist
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  The modifications carried out in the dataset are thought to evaluate cognitive biases in a few-shot setting and with different task complexities.
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  We make use of 25k instances from the original dataset, while the remaining ones serve as few-shot examples.
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  Each instance is prompted with all possible unbalanced 4-shot distributions.
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- We increase task complexity by introducing an additional neutral example between the first and last two examples.
 
 
 
 
 
 
 
 
 
 
 
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  ## Supported Tasks and Leaderboards
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  The modifications carried out in the dataset are thought to evaluate cognitive biases in a few-shot setting and with different task complexities.
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  We make use of 25k instances from the original dataset, while the remaining ones serve as few-shot examples.
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  Each instance is prompted with all possible unbalanced 4-shot distributions.
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+ We also increase task complexity by introducing an additional neutral example between the first and last two examples.
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+
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+ **Dataset Fields:**
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+ - `idx`: original sentence id, in the format `\<original_partition\>_\<original_id\>.
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+ - `sentence`: test sentence.
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+ - `label`: sentiment of the test sentence, either "negative" (`0`) or "positive" (`1`).
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+ - `dist`: few-shot distribution (`0000`, `1111`, `0001`, `0010`, `0100, `1000`, `1110`, `1101`, `1011, `0111`).
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+ - `shot\<n\>_idx`: original id of the example sentence, in the format `\<original_partition\>_\<original_id\>.
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+ - `shot\<n\>_sent`: example sentence.
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+ - `shot\<n\>_label`: sentiment of the example sentence.
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+ - `few_shot_string`: string with all 4 shots the sentence is prompted with.
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+ - `few_shot_hard_string`: string with the same 4 shots and an additional neutral example between the first and last two to increase task complexity.
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  ## Supported Tasks and Leaderboards
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