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* Add WikiBench * Add WikiBench * format --------- Co-authored-by: Leymore <zfz-960727@163.com>
57 lines
2.1 KiB
Python
57 lines
2.1 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 CircularEvaluator, AccEvaluator
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from opencompass.datasets import WikiBenchDataset
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from opencompass.utils.text_postprocessors import first_option_postprocess
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single_choice_prompts = {
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"single_choice_cn": "以下是一道单项选择题,请你根据你了解的知识给出正确的答案选项。\n下面是你要回答的题目:\n{question}\n答案选项:",
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}
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wikibench_sets = {
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"wiki": ["single_choice_cn"],
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}
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do_circular = True
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wikibench_datasets = []
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for _split in list(wikibench_sets.keys()):
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for _name in wikibench_sets[_split]:
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wikibench_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(
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begin="</E>",
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round=[
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dict(role="HUMAN", prompt=single_choice_prompts[_name]),
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dict(role="BOT", prompt="{answer}"),
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],
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),
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ice_token="</E>",
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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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wikibench_eval_cfg = dict(
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evaluator=dict(type=CircularEvaluator if do_circular else AccEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options="ABCD"),
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)
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wikibench_datasets.append(
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dict(
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type=WikiBenchDataset,
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path=f"./data/WikiBench/{_name}.jsonl",
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name="circular_" + _name if do_circular else _name,
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abbr="wikibench-" + _split + "-" + _name + "circular" if do_circular else "",
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reader_cfg=dict(
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input_columns=["question"],
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output_column="answer",
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),
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infer_cfg=wikibench_infer_cfg,
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eval_cfg=wikibench_eval_cfg,
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)
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)
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