pyrit.score.SelfAskLikertScorer

pyrit.score.SelfAskLikertScorer#

class SelfAskLikertScorer(*, chat_target: PromptChatTarget, likert_scale: LikertScalePaths, validator: ScorerPromptValidator | None = None)[source]#

Bases: FloatScaleScorer

A class that represents a “self-ask” score for text scoring for a likert scale.

__init__(*, chat_target: PromptChatTarget, likert_scale: LikertScalePaths, validator: ScorerPromptValidator | None = None) → None[source]#

Initialize the SelfAskLikertScorer.

Parameters:

Methods

__init__(*, chat_target, likert_scale[, ...])

Initialize the SelfAskLikertScorer.

evaluate_async([file_mapping, ...])

Evaluate this scorer against human-labeled datasets.

get_identifier()

Get an identifier dictionary for the scorer for database storage.

get_scorer_metrics()

Get evaluation metrics for this scorer from the configured evaluation result file.

scale_value_float(value, min_value, max_value)

Scales a value from 0 to 1 based on the given min and max values.

score_async(message, *[, objective, ...])

Score the message, add the results to the database, and return a list of Score objects.

score_image_async(image_path, *[, objective])

Score the given image using the chat target.

score_image_batch_async(*, image_paths[, ...])

Score a batch of images asynchronously.

score_prompts_batch_async(*, messages[, ...])

Score multiple prompts in batches using the provided objectives.

score_response_async(*, response[, ...])

Score a response using an objective scorer and optional auxiliary scorers.

score_response_multiple_scorers_async(*, ...)

Score a response using multiple scorers in parallel.

score_text_async(text, *[, objective])

Scores the given text based on the task using the chat target.

validate_return_scores(scores)

Validate that the returned scores are within the valid range [0, 1].

Attributes

evaluation_file_mapping

scorer_identifier

Get the scorer identifier.

scorer_type

Get the scorer type based on class hierarchy.
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