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neuralset.events.transforms.splitting.AssignWordSplitAndContext

pydantic model neuralset.events.transforms.splitting.AssignWordSplitAndContext

Sequence of 3 standard operations: add sentences, assign split, add context.

Warning

Unstable API — the context step will change in a future release.

Fields:

• max_context_len (int | None)

• max_unmatched_ratio (float)

• min_duration (float | None)

• min_words (int | None)

• override_sentences (bool)

• ratios (tuple[float, float, float])

• seed (int)

• sentence_only (bool)

• split_field (str)

field min_duration: float | None = None

field min_words: int | None = None

field ratios: tuple[float, float, float] = (0.8, 0.1, 0.1)

field seed: int = 0

field max_unmatched_ratio: float = 0.0

field sentence_only: bool = True

field max_context_len: int | None = None

field override_sentences: bool = False

field split_field: str = 'split'

transform(name: Literal['sentence', 'split', 'context']) → EventsTransform

requirements: tp.ClassVar[tuple[str, ...]] = ()

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