add dataset format to cf-stsb section
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README.md
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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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* **_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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@@ -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
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@@ -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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| split | dataset | score | sentence1 | sentence2 |
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| {'train', 'dev', 'test'} | 'climate-fever' | cos_sim score | claim | evidence |
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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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#### Who are the annotators?
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