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b35d991786
* [Feature] Add reasonbench dataset * add configs for supporting generative inference & merge datasets in the same category * modify config filename to prompt version * fix codes to meet pre-commit requirements * lint the code to meet pre-commit requirements * Align Load_data Sourcecode Briefly * fix bugs * reduce code redundancy
137 lines
3.8 KiB
Python
137 lines
3.8 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets.reasonbench import ReasonBenchDataset
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reasonbench_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role="BOT",
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)
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reader_cfgs, infer_cfgs = [], []
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for i in range(2, 5):
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choices = ["A", "B", "C", "D"][:i]
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reader_cfgs.append(dict(
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input_columns=["prompt_ppl"] + choices + ["choices"],
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output_column="label")
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)
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infer_cfgs.append(dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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str(id):
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dict(
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round=[
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dict(role="HUMAN", prompt="{prompt_ppl}Answer:"),
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dict(role="BOT", prompt=f"{choice}")
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], )
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for id, choice in enumerate(choices)
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer)
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))
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CausalReasoningDataset = [
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dict(
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abbr="reasonbench-causal",
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type=ReasonBenchDataset,
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path="data/reasonbench/causal.jsonl",
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reader_cfg=reader_cfgs[0],
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infer_cfg=infer_cfgs[0],
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eval_cfg=reasonbench_eval_cfg),
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]
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CommonsenseReasoningDataset = [
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dict(
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abbr="reasonbench-commonsense",
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type=ReasonBenchDataset,
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path="data/reasonbench/commonsense.jsonl",
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reader_cfg=reader_cfgs[1],
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infer_cfg=infer_cfgs[1],
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eval_cfg=reasonbench_eval_cfg),
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]
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AbductiveReasoningDataset = [
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dict(
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abbr="reasonbench-abductive",
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type=ReasonBenchDataset,
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path="data/reasonbench/abductive.jsonl",
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reader_cfg=reader_cfgs[0],
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infer_cfg=infer_cfgs[0],
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eval_cfg=reasonbench_eval_cfg),
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]
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DeductiveReasoningDataset = [
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dict(
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abbr="reasonbench-deductive",
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type=ReasonBenchDataset,
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path="data/reasonbench/deductive.jsonl",
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reader_cfg=reader_cfgs[1],
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infer_cfg=infer_cfgs[1],
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eval_cfg=reasonbench_eval_cfg),
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]
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InductiveReasoningDataset = [
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dict(
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abbr="reasonbench-inductive",
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type=ReasonBenchDataset,
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path="data/reasonbench/inductive.jsonl",
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reader_cfg=reader_cfgs[0],
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infer_cfg=infer_cfgs[0],
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eval_cfg=reasonbench_eval_cfg),
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]
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SymbolicReasoningDataset = [
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dict(
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abbr="reasonbench-symbolic",
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type=ReasonBenchDataset,
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path="data/reasonbench/symbolic.jsonl",
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reader_cfg=reader_cfgs[2],
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infer_cfg=infer_cfgs[2],
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eval_cfg=reasonbench_eval_cfg),
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]
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CLEVA_CommonsenseReasoningDataset = [
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dict(
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abbr="reasonbench-cleva_commonsense",
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type=ReasonBenchDataset,
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path="data/reasonbench/cleva_commonsense.jsonl",
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reader_cfg=reader_cfgs[1],
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infer_cfg=infer_cfgs[1],
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eval_cfg=reasonbench_eval_cfg),
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]
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CLEVA_DeductiveReasoningDataset = [
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dict(
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abbr="reasonbench-cleva_deductive",
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type=ReasonBenchDataset,
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path="data/reasonbench/cleva_deductive.jsonl",
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reader_cfg=reader_cfgs[1],
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infer_cfg=infer_cfgs[1],
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eval_cfg=reasonbench_eval_cfg),
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]
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CLEVA_InductiveReasoningDataset = [
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dict(
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abbr="reasonbench-cleva_inductive",
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type=ReasonBenchDataset,
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path="data/reasonbench/cleva_inductive.jsonl",
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reader_cfg=reader_cfgs[0],
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infer_cfg=infer_cfgs[0],
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eval_cfg=reasonbench_eval_cfg),
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]
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reasonbench_datasets = \
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CLEVA_CommonsenseReasoningDataset + \
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CLEVA_DeductiveReasoningDataset + \
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CLEVA_InductiveReasoningDataset + \
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CausalReasoningDataset + \
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CommonsenseReasoningDataset + \
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AbductiveReasoningDataset + \
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DeductiveReasoningDataset + \
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InductiveReasoningDataset + \
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SymbolicReasoningDataset
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