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add dataset format to cf-stsb section

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@@ -159,7 +159,7 @@ This dataset uses the list of annotator 'votes' to cast a NOT_ENOUGH_INFO (NEI)
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  | SUPPORTS > REFUTES | _SUPPORTS_ |
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  | SUPPORTS < REFUTES | _REFUTES_ |
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- Any Claims that have,
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  * **_at least one_** SUPPORTS or REFUTES evidence, AND
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  * NEI evidences that can be cast to effective _SUPPORTS_ or _REFUTES_
@@ -168,6 +168,12 @@ are included in the datasset.
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  ### **cf-stsb**
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  This dataset uses 'evidence_label', vote 'entropy', and the list of annotator 'votes' to derive a similarity score for each claim <-> evidence pairing. Similarity score conversion:
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  > `mean(entropy)` refers to the average entropy within the defined group of evidence
@@ -186,6 +192,7 @@ This dataset uses 'evidence_label', vote 'entropy', and the list of annotator 'v
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  The above derivation roughly maps the strength of evidence annotation (REFUTES..NEI..SUPPORTS) to cosine similarity (-1..0..1).
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  <!--
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  #### Who are the annotators?
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  | SUPPORTS > REFUTES | _SUPPORTS_ |
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  | SUPPORTS < REFUTES | _REFUTES_ |
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+ In addition to all the claims in **cf-nli**, any Claims that have,
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  * **_at least one_** SUPPORTS or REFUTES evidence, AND
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  * NEI evidences that can be cast to effective _SUPPORTS_ or _REFUTES_
 
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  ### **cf-stsb**
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+ For each Claim <-> Evidence pair, create labeled pairs in the style of STSb dataset:
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+
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+ | split | dataset | score | sentence1 | sentence2 |
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+ |---|---|---|---|---|
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+ | {'train', 'dev', 'test'} | 'climate-fever' | cos_sim score | claim | evidence |
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+
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  This dataset uses 'evidence_label', vote 'entropy', and the list of annotator 'votes' to derive a similarity score for each claim <-> evidence pairing. Similarity score conversion:
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  > `mean(entropy)` refers to the average entropy within the defined group of evidence
 
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  The above derivation roughly maps the strength of evidence annotation (REFUTES..NEI..SUPPORTS) to cosine similarity (-1..0..1).
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+
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  <!--
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  #### Who are the annotators?
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