mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
42 lines
1.4 KiB
Python
42 lines
1.4 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.datasets import InfiniteBenchzhqaDataset, LongBenchF1Evaluator
|
|
from opencompass.utils.text_postprocessors import general_cn_postprocess
|
|
|
|
InfiniteBench_zhqa_reader_cfg = dict(
|
|
input_columns=['context', 'question'],
|
|
output_column='answer',
|
|
|
|
)
|
|
|
|
InfiniteBench_zhqa_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(
|
|
begin=[
|
|
dict(role='SYSTEM', fallback_role='HUMAN', prompt='You are a helpful assistant.'),
|
|
],
|
|
round=[
|
|
dict(role='HUMAN', prompt='请根据以下书籍回答我的问题。\n\n{context}\n\n问题：{question}\n请尽量简短地回答。'),
|
|
dict(role='BOT', prompt=''),
|
|
], )),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer, max_out_len=40)
|
|
)
|
|
|
|
InfiniteBench_zhqa_eval_cfg = dict(
|
|
evaluator=dict(type=LongBenchF1Evaluator, language='zh'),
|
|
pred_role='BOT',
|
|
)
|
|
|
|
InfiniteBench_zhqa_datasets = [
|
|
dict(
|
|
type=InfiniteBenchzhqaDataset,
|
|
abbr='InfiniteBench_zhqa',
|
|
path='./data/InfiniteBench/longbook_qa_chn.jsonl',
|
|
reader_cfg=InfiniteBench_zhqa_reader_cfg,
|
|
infer_cfg=InfiniteBench_zhqa_infer_cfg,
|
|
eval_cfg=InfiniteBench_zhqa_eval_cfg)
|
|
]
|