luvox-ai/turn-eval

Turn Eval

This dataset contains paired wake-word and turn audio for turn-level evaluation. It has one test split and uses the default dataset configuration.

Load the dataset

from datasets import load_dataset

dataset = load_dataset("luvox-ai/turn-eval", split="test")

Row structure

Each row represents one indexed wake-word/turn audio pair for one target voice. The same voice_id can appear in multiple rows. For illustration, an anonymous voice identifier could look like speaker_001; actual identifiers are dataset values and are intentionally not listed in this card.

Field	Type	Meaning
voice_id	string	Identifier of the target voice for this row.
index	int32	Pair index within the target voice.
ww_audio	Audio	Wake-word audio for the pair.
turn_audio	Audio	Turn audio used for speech-region annotation.
segments	list<struct>	Speech regions inside turn_audio.

Each item in segments has this structure:

Field	Type	Meaning
start_ms	int32	Inclusive region start, in milliseconds from the beginning of turn_audio.
end_ms	int32	Exclusive region end, in milliseconds from the beginning of turn_audio.
label	string	Speaker relationship: target, non-target, or ambiguous.

Segments are ordered by start time and do not overlap. An empty segments list means the turn was reviewed and no speech region was labeled. Multiple regions remain in one row; the audio is not duplicated per segment.

Label meanings

• target: speech attributed to the target voice identified by voice_id.
• non-target: speech attributed to another voice.
• ambiguous: speech whose target/non-target attribution is uncertain.

This card intentionally omits speaker identities, actual identifier values, and per-voice statistics.