OpenCompass/configs/datasets/wikibench/wikibench_gen_f96ece.py
liushz a331c9abfd
[Feature] Add wikibench dataset (#655)
* Add WikiBench

* Add WikiBench

* format

---------

Co-authored-by: Leymore <zfz-960727@163.com>
2023-12-01 14:56:54 +08:00

57 lines
2.1 KiB
Python

from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import CircularEvaluator, AccEvaluator
from opencompass.datasets import WikiBenchDataset
from opencompass.utils.text_postprocessors import first_option_postprocess
single_choice_prompts = {
"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:",
}
wikibench_sets = {
"wiki": ["single_choice_cn"],
}
do_circular = True
wikibench_datasets = []
for _split in list(wikibench_sets.keys()):
for _name in wikibench_sets[_split]:
wikibench_infer_cfg = dict(
ice_template=dict(
type=PromptTemplate,
template=dict(
begin="</E>",
round=[
dict(role="HUMAN", prompt=single_choice_prompts[_name]),
dict(role="BOT", prompt="{answer}"),
],
),
ice_token="</E>",
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
wikibench_eval_cfg = dict(
evaluator=dict(type=CircularEvaluator if do_circular else AccEvaluator),
pred_postprocessor=dict(type=first_option_postprocess, options="ABCD"),
)
wikibench_datasets.append(
dict(
type=WikiBenchDataset,
path=f"./data/WikiBench/{_name}.jsonl",
name="circular_" + _name if do_circular else _name,
abbr="wikibench-" + _split + "-" + _name + "circular" if do_circular else "",
reader_cfg=dict(
input_columns=["question"],
output_column="answer",
),
infer_cfg=wikibench_infer_cfg,
eval_cfg=wikibench_eval_cfg,
)
)