Upload templates.py with huggingface_hub
Browse files- templates.py +28 -0
templates.py
CHANGED
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@@ -161,6 +161,7 @@ class MultipleChoiceTemplate(Template):
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source_choice_format: str = "{choice_numeral}. {choice_text}"
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target_choice_format: str = "{choice_numeral}"
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enumerator: str = "capitals"
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def prepare(self):
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super().prepare()
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@@ -229,6 +230,18 @@ class MultipleChoiceTemplate(Template):
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inputs = self.prepare_multiple_choice_inputs(inputs)
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return super().inputs_to_instruction_and_target_prefix(inputs)
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def outputs_to_target_and_references(self, outputs: Dict[str, object]) -> str:
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target = outputs[self.target_field]
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@@ -251,9 +264,24 @@ class MultipleChoiceTemplate(Template):
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return target, [target]
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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result = super().process(instance, stream_name)
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if "options" not in result["outputs"]:
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result["outputs"]["options"] = self.inputs_to_choices(
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source_choice_format: str = "{choice_numeral}. {choice_text}"
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target_choice_format: str = "{choice_numeral}"
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enumerator: str = "capitals"
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shuffle_choices: bool = False
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def prepare(self):
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super().prepare()
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inputs = self.prepare_multiple_choice_inputs(inputs)
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return super().inputs_to_instruction_and_target_prefix(inputs)
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def outputs_to_target_index(self, outputs: Dict[str, object]) -> str:
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target = outputs[self.target_field]
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if not isinstance(target, int):
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try:
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return outputs[self.choices_field].index(target)
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except ValueError as e:
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raise ValueError(
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f"MultipleChoiceTemplate could not locate textual target '{target}' in choices list: {outputs[self.choices_field]}"
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) from e
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return target
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def outputs_to_target_and_references(self, outputs: Dict[str, object]) -> str:
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target = outputs[self.target_field]
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return target, [target]
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def _shuffle_choices(self, instance):
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target_index = self.outputs_to_target_index(instance["outputs"])
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original_label_choice = instance["outputs"][self.choices_field][target_index]
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choices = instance["inputs"][self.choices_field]
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random_generator = new_random_generator(
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{**instance["inputs"], **instance["outputs"]}
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)
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random_generator.shuffle(choices)
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instance["inputs"][self.choices_field] = choices
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instance["outputs"][self.choices_field] = choices
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instance["outputs"][self.target_field] = choices.index(original_label_choice)
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return instance
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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if self.shuffle_choices:
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instance = self._shuffle_choices(instance)
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result = super().process(instance, stream_name)
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if "options" not in result["outputs"]:
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result["outputs"]["options"] = self.inputs_to_choices(
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