Update io.yaml files

answerability/lora/gpt-oss-20b/io.yaml

@@ -1,4 +1,4 @@
-# Model name string, or null to use whatever is provided in the chat completion request
+# Model name string, or null to use whatever is provided in the chat completion request.
 model: ~
 # JSON schema of the model's output
 response_format: |
@@ -7,13 +7,19 @@ response_format: |
     "enum": ["answerable", "unanswerable"]
   }
 transformations:
+  # Convert categorical answer to continuous value by decoding logprobs
   - type: likelihood
     categories_to_values:
       "answerable": 1.0
       "unanswerable": 0.0
     input_path: []
-    output_name: ~  # Null == no change
+  # Convert scalar value to a record for consistency with other intrinsics
+  - type: nest
+    input_path: []
+    field_name: "answerability_likelihood"
 instruction: ~
 parameters:
+  # "unanswerable" can be 6 tokens at high temperatures
   max_completion_tokens: 6
-sentence_boundaries: false
+# No sentence boundary detection
+sentence_boundaries: ~

answerability/lora/granite-3.3-2b-instruct/io.yaml

@@ -1,4 +1,4 @@
-# Model name string, or null to use whatever is provided in the chat completion request
+# Model name string, or null to use whatever is provided in the chat completion request.
 model: ~
 # JSON schema of the model's output
 response_format: |
@@ -7,13 +7,19 @@ response_format: |
     "enum": ["answerable", "unanswerable"]
   }
 transformations:
+  # Convert categorical answer to continuous value by decoding logprobs
   - type: likelihood
     categories_to_values:
       "answerable": 1.0
       "unanswerable": 0.0
     input_path: []
-    output_name: ~  # Null == no change
+  # Convert scalar value to a record for consistency with other intrinsics
+  - type: nest
+    input_path: []
+    field_name: "answerability_likelihood"
 instruction: ~
 parameters:
+  # "unanswerable" can be 6 tokens at high temperatures
   max_completion_tokens: 6
-sentence_boundaries: false
+# No sentence boundary detection
+sentence_boundaries: ~

answerability/lora/granite-3.3-8b-instruct/io.yaml

@@ -1,4 +1,4 @@
-# Model name string, or null to use whatever is provided in the chat completion request
+# Model name string, or null to use whatever is provided in the chat completion request.
 model: ~
 # JSON schema of the model's output
 response_format: |
@@ -7,13 +7,19 @@ response_format: |
     "enum": ["answerable", "unanswerable"]
   }
 transformations:
+  # Convert categorical answer to continuous value by decoding logprobs
   - type: likelihood
     categories_to_values:
       "answerable": 1.0
       "unanswerable": 0.0
     input_path: []
-    output_name: ~  # Null == no change
+  # Convert scalar value to a record for consistency with other intrinsics
+  - type: nest
+    input_path: []
+    field_name: "answerability_likelihood"
 instruction: ~
 parameters:
+  # "unanswerable" can be 6 tokens at high temperatures
   max_completion_tokens: 6
-sentence_boundaries: false
+# No sentence boundary detection
+sentence_boundaries: ~

context_relevance/lora/granite-3.3-8b-instruct/io.yaml

@@ -25,6 +25,5 @@ transformations:
       "irrelevant": 0.0
       "partially relevant": 0.5
     input_path: ["context_relevance"]
-    output_name: ~  # Null == no change
 parameters: ~
-sentence_boundaries: false
+sentence_boundaries: ~