mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
dfd9ac0fd9
* add judgellm prompts * add judgelm prompts * update import info * fix situation that no abbr in config * fix situation that no abbr in config * add summarizer for other judgellm * change config name * add maxlen * add maxlen * dict assert * dict assert * fix strings * fix strings
63 lines
1.9 KiB
Python
63 lines
1.9 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 LMEvaluator
|
|
from opencompass.datasets import Corev2Dataset
|
|
from mmengine.config import read_base
|
|
|
|
subjective_reader_cfg = dict(
|
|
input_columns=['question', 'prefix', 'suffix'],
|
|
output_column='judge',
|
|
#train_split='test'
|
|
)
|
|
|
|
subjective_all_sets = [
|
|
"COREV2_6A_",
|
|
]
|
|
|
|
|
|
subjective_datasets = []
|
|
|
|
for _name in subjective_all_sets:
|
|
subjective_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt="{question}"
|
|
),
|
|
]),
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer, max_out_len=2048),
|
|
)
|
|
|
|
subjective_eval_cfg = dict(
|
|
evaluator=dict(
|
|
type=LMEvaluator,
|
|
infer_order='random',
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt = "{prefix}问题: <问题开始> {question} <问题结束>\n\n回答 1: <回答 1 开始> {prediction} <回答 1 结束>\n\n回答 2: <回答 2 开始> {prediction2} <回答 2 结束>\n\n{suffix}"
|
|
),
|
|
]),
|
|
),
|
|
),
|
|
pred_role="BOT",
|
|
)
|
|
|
|
subjective_datasets.append(
|
|
dict(
|
|
abbr=f"{_name}",
|
|
type=Corev2Dataset,
|
|
path="./data/subjective/",
|
|
name=_name,
|
|
reader_cfg=subjective_reader_cfg,
|
|
infer_cfg=subjective_infer_cfg,
|
|
eval_cfg=subjective_eval_cfg
|
|
))
|