from typing import *
from pydantic import BaseModel, Field
[docs]
class Dataset(BaseModel):
"""
Dataset model
"""
model_config = {"populate_by_name": True, "validate_assignment": True}
id: Optional[str] = Field(validation_alias="_id", default=None)
dataset_id: Optional[str] = Field(validation_alias="dataset_id", default=None)
org_id: Optional[str] = Field(validation_alias="org_id", default=None)
project_id: Optional[str] = Field(validation_alias="project_id", default=None)
tenant: Optional[str] = Field(validation_alias="tenant", default=None)
project: Optional[str] = Field(validation_alias="project", default=None)
name: Optional[str] = Field(validation_alias="name", default=None)
description: Optional[str] = Field(validation_alias="description", default=None)
type: Optional[str] = Field(validation_alias="type", default=None)
datapoints: Optional[List[str]] = Field(validation_alias="datapoints", default=None)
num_points: Optional[int] = Field(validation_alias="num_points", default=None)
linked_evals: Optional[List[str]] = Field(
validation_alias="linked_evals", default=None
)
saved: Optional[bool] = Field(validation_alias="saved", default=None)
pipeline_type: Optional[str] = Field(validation_alias="pipeline_type", default=None)
created_at: Optional[str] = Field(validation_alias="created_at", default=None)
updated_at: Optional[str] = Field(validation_alias="updated_at", default=None)
metadata: Optional[Dict[str, Any]] = Field(
validation_alias="metadata", default=None
)