from .stream import MultiStream from .operator import SourceOperator from .card import TaskCard from .splitters import SliceSplit, SpreadSplit, RandomSampler from .recipe import SequentialRecipe, Recipe from .collections import ItemPicker, RandomPicker from .templates import RenderTemplatedICL from .schema import ToUnitxtGroup from typing import Union class CommonRecipe(Recipe, SourceOperator): card: TaskCard demos_pool_name: str = "demos_pool" demos_pool_size: int = None demos_field: str = "demos" num_demos: int = None sampler_type: str = "random" instruction_item: Union[str, int] = None template_item: Union[str, int] = None def verify(self): self.sampler_type in ["random"] def prepare(self): steps = [ self.card.loader, ] if self.card.preprocess_steps is not None: steps.extend(self.card.preprocess_steps) steps.append(self.card.task) if self.demos_pool_size is not None: steps.append( SliceSplit( slices={ self.demos_pool_name: f"train[:{int(self.demos_pool_size)}]", "train": f"train[{int(self.demos_pool_size)}:]", "validation": "validation", "test": "test", } ) ) if self.num_demos is not None: if self.sampler_type == "random": sampler = RandomSampler(sample_size=int(self.num_demos)) steps.append( SpreadSplit( source_stream=self.demos_pool_name, target_field=self.demos_field, sampler=sampler, ) ) if self.card.instructions is not None: if self.instruction_item is None: picker = ItemPicker(self.instruction_item) else: picker = RandomPicker() instruction = picker(self.card.instructions) else: instruction = None if self.card.templates is not None: if self.template_item is None: picker = ItemPicker(self.template_item) else: picker = RandomPicker() template = picker(self.card.templates) else: template = None render = RenderTemplatedICL( instruction=instruction, template=template, demos_field=self.demos_field, ) steps.append(render) postprocessors = render.get_postprocessors() steps.append( ToUnitxtGroup( group="unitxt", metrics=self.card.task.metrics, postprocessors=postprocessors, ) ) self.recipe = SequentialRecipe(steps) def process(self) -> MultiStream: return self.recipe()