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46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import storyclozeDataset_V2
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storycloze_reader_cfg = dict(
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input_columns=["context", "sentence_quiz1", "sentence_quiz2"],
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output_column="answer_right_ending",
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)
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storycloze_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role="HUMAN",
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prompt=
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"{context}\nQuestion: Which ending makes the most sense?\nA. {sentence_quiz1}\nB. {sentence_quiz2}\nYou may choose between 'A' and 'B'.\nAnswer:",
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),
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]),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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storycloze_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role="BOT",
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pred_postprocessor=dict(type="first-capital"),
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)
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# The original story cloze dataset and repo are not long maintaining.
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# Using multilingual version of this dataset.
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storycloze_datasets = [
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dict(
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abbr="story_cloze",
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type=storyclozeDataset_V2,
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path="juletxara/xstory_cloze",
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name="en",
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reader_cfg=storycloze_reader_cfg,
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infer_cfg=storycloze_infer_cfg,
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eval_cfg=storycloze_eval_cfg,
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)
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]
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