true
values.true
percentages for each selected column.score
(required): A number representing the overall score. This is mandatory.score_matrix
(optional): A list of lists of lists, representing one or more matrices of drilled-down scores. Each cell in these matrices can be a raw value or an object with metadata.score_matrix
can be either:
value
: The actual value of the cell, which can be a string or number.positive_metric
: (Optional) A boolean indicating whether an increase in this value is considered positive (true
). If absent, we default to true.42
{"value": 42, "positive_metric": true}
positive_metric
property can be used to indicate how changes in the value should be interpreted when comparing evaluations. This is particularly useful for automated reporting and analysis tools.
data
variable will be available in your scoring code, which is a list containing a dictionary for each row in the evaluation results. The keys in each dictionary correspond to the column names, and the values are the corresponding cell values.
For example: