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Datasets:
BSC-LT
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cobie_sst2

Tasks:
Text Classification
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English
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Update README.md

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  1. README.md +4 -4
README.md CHANGED
@@ -85,13 +85,13 @@ 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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  **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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  We also increase task complexity by introducing an additional neutral example between the first and last two examples.
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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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