add generation task response to docs

models/README.md

@@ -21,6 +21,7 @@ The output from your model's `predict` function should always be a string. Depen
 - A single integer (in the range [0, 3]) for multiple choice tasks.
 - A comma-separated list of integers for ranking tasks.
 - A comma-separated list of named entities for Named Entity Recognition (NER) tasks.
+- (unconstrained) generated response for the generation tasks
 
 For more information on how these responses are processed, please see [parsers.py](../parsers.py).
 

models/base_model.py

@@ -18,6 +18,7 @@ class ShopBenchBaseModel:
             str: The prediction as a string representing a single integer[0, 3] for multiple choice tasks,
                         or a string representing a comma separated list of integers for Ranking, Retrieval tasks,
                         or a string representing a comma separated list of named entities for Named Entity Recognition tasks.
+                        or a string representing the (unconstrained) generated response for the generation tasks
                         Please refer to parsers.py for more details on how these responses will be parsed by the evaluator.
         """
         raise NotImplementedError("predict method not implemented")

models/dummy_model.py

@@ -35,6 +35,7 @@ class DummyModel(ShopBenchBaseModel):
             str: The prediction as a string representing a single integer[0, 3] for multiple choice tasks,
                         or a string representing a comma separated list of integers for Ranking, Retrieval tasks,
                         or a string representing a comma separated list of named entities for Named Entity Recognition tasks.
+                        or a string representing the (unconstrained) generated response for the generation tasks
                         Please refer to parsers.py for more details on how these responses will be parsed by the evaluator.
         """
         possible_responses = [1, 2, 3, 4]
@@ -46,3 +47,5 @@ class DummyModel(ShopBenchBaseModel):
             # For other tasks, shuffle the possible responses and return as a string
             random.shuffle(possible_responses)
             return str(possible_responses)
+            # Note: As this is dummy model, we are returning random responses for non-multiple choice tasks.
+            # For generation tasks, this should ideally return an unconstrained string.