Feat/augment multilabel datasets #139
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SeBorgey
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Feb 19, 2025
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| in_domain_samples = self.dataset[self.split].filter(lambda sample: sample[Dataset.label_feature] is not None) | ||
| if self.dataset.multilabel: | ||
| filter_fn = lambda sample: sample[Dataset.label_feature][intent_data.id] == 1 # noqa: E731 | ||
| else: | ||
| filter_fn = lambda sample: sample[Dataset.label_feature] == intent_data.id # noqa: E731 | ||
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| filtered_split = in_domain_samples.filter(filter_fn) |
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if self.dataset.multilabel:
filter_fn = lambda sample: sample[Dataset.label_feature].get(intent_data.id, 0) == 1
else:
filter_fn = lambda sample: (sample[Dataset.label_feature] is not None) and (sample[Dataset.label_feature] == intent_data.id)
filtered_split = self.dataset[self.split].filter(filter_fn)Фильтрация на not None нужна только в single-label случае
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OOS примеры могут быть и в мультилейбл датасете, плюс вне зависимости от того мультилейбл или сингллейбл всегда OOS примеры помечаются как label=None
это гарантируется здесь: https://github.com/deeppavlov/AutoIntent/blob/dev/autointent/schemas/_schemas.py#L100
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