pyrit.score.AudioFloatScaleScorer

class AudioFloatScaleScorer(*, text_capable_scorer: FloatScaleScorer, validator: ScorerPromptValidator | None = None)

Bases: FloatScaleScorer

A scorer that processes audio files by transcribing them and scoring the transcript.

The AudioFloatScaleScorer transcribes audio to text using Azure Speech-to-Text, then scores the transcript using a FloatScaleScorer.

__init__(*, text_capable_scorer: FloatScaleScorer, validator: ScorerPromptValidator | None = None) → None

Initialize the AudioFloatScaleScorer.

Parameters:

• text_capable_scorer – A FloatScaleScorer capable of processing text. This scorer will be used to evaluate the transcribed audio content.

• validator – Validator for the scorer. Defaults to audio_path data type validator.

Raises:

ValueError – If text_capable_scorer does not support text data type.

Methods

__init__(*, text_capable_scorer[, validator])	Initialize the AudioFloatScaleScorer.
evaluate_async([file_mapping, ...])	Evaluate this scorer against human-labeled datasets.
get_identifier()	Get the typed identifier for this object.
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_type	Get the scorer type based on class hierarchy.