NLP-Legal-Texts / util /process_data.py
Daniel Steinigen
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from typing import Optional, List
from pydantic import BaseModel, Extra
class EntityType(BaseModel):
idx: int
label: str
class EntityTypeSet(BaseModel):
entity_types: List[EntityType]
relation_types: List[EntityType]
id_of_non_entity: int
groups: List[List[int]]
def __len__(self):
return len(self.entity_types) + len(self.relation_types)
def all_types(self):
return [*self.entity_types, *self.relation_types]
class Token(BaseModel):
text: str
start: int
end: int
class Entity(BaseModel):
id: int
text: str
start: int
end: int
ent_type: EntityType
confidence: Optional[float]
class Relation(BaseModel):
id: int
head: int
tail: int
rel_type: EntityType
class Sample(BaseModel):
idx: int
text: str
entities: List[Entity] = []
relations: List[Relation] = []
tokens: List[Token] = []
tags: List[int] = []
class SampleList(BaseModel):
samples: List[Sample]