📄 Open¶

This is the Question Answering Task composed of question answer pair , without provided context.: The ‘tasks.qa.with_context’ should be used if there is no context. By default, classifical Rouge metric is used , but list of additional applicable metrics can be found under ‘metrics.qa’ in the Unitxt catalog.

tasks.qa.open

type: Task
input_fields: 
  question: str
reference_fields: 
  answers: List[str]
prediction_type: str
metrics: 
  - metrics.rouge
defaults: 
  answers: []
default_template: templates.qa.open
[source]

Explanation about Task¶

Task packs the different instance fields into dictionaries by their roles in the task.

Args:

input_fields (Union[Dict[str, str], List[str]]):
Dictionary with string names of instance input fields and types of respective values. In case a list is passed, each type will be assumed to be Any.

reference_fields (Union[Dict[str, str], List[str]]):
Dictionary with string names of instance output fields and types of respective values. In case a list is passed, each type will be assumed to be Any.

metrics (List[str]):
List of names of metrics to be used in the task.

prediction_type (Optional[str]):
Need to be consistent with all used metrics. Defaults to None, which means that it will be set to Any.

defaults (Optional[Dict[str, Any]]):
An optional dictionary with default values for chosen input/output keys. Needs to be consistent with names and types provided in ‘input_fields’ and/or ‘output_fields’ arguments. Will not overwrite values if already provided in a given instance.

The output instance contains three fields:

“input_fields” whose value is a sub-dictionary of the input instance, consisting of all the fields listed in Arg ‘input_fields’.

“reference_fields” – for the fields listed in Arg “reference_fields”.

“metrics” – to contain the value of Arg ‘metrics’

References: templates.qa.open, metrics.rouge