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