mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
78 lines
2.1 KiB
Python
78 lines
2.1 KiB
Python
|
from opencompass.datasets import HealthBenchDataset, HealthBenchEvaluator
|
||
|
|
from opencompass.openicl.icl_inferencer import GenInferencer
|
||
|
|
from opencompass.openicl.icl_prompt_template import HealthBenchTemplate
|
||
|
|
from opencompass.openicl.icl_retriever import ZeroRetriever
|
||
|
|
|
||
|
|
|
||
|
|
# Reader configuration
|
||
|
|
reader_cfg = dict(
|
||
|
|
input_columns=[
|
||
|
|
'example_tags', 'ideal_completions_data', 'prompt', 'prompt_id', 'rubrics', 'canary'
|
||
|
|
],
|
||
|
|
output_column='prompt_id', # useless
|
||
|
|
)
|
||
|
|
|
||
|
|
# Inference configuration
|
||
|
|
infer_cfg = dict(
|
||
|
|
prompt_template=dict(
|
||
|
|
type=HealthBenchTemplate,
|
||
|
|
key='prompt_trans',
|
||
|
|
),
|
||
|
|
retriever=dict(type=ZeroRetriever),
|
||
|
|
inferencer=dict(type=GenInferencer),
|
||
|
|
)
|
||
|
|
|
||
|
|
# infer_cfg = dict(
|
||
|
|
# prompt_template=dict(
|
||
|
|
# type=PromptTemplate,
|
||
|
|
# template=dict(
|
||
|
|
# round=[
|
||
|
|
# dict(
|
||
|
|
# role='HUMAN',
|
||
|
|
# prompt='{prompt_id}', # prompt mode: zero-shot
|
||
|
|
# ),
|
||
|
|
# dict(
|
||
|
|
# role='BOT',
|
||
|
|
# prompt='{prompt_id}', # prompt mode: zero-shot
|
||
|
|
# ),
|
||
|
|
# ],
|
||
|
|
# ),
|
||
|
|
# ),
|
||
|
|
# retriever=dict(type=ZeroRetriever),
|
||
|
|
# inferencer=dict(type=GenInferencer),
|
||
|
|
# )
|
||
|
|
|
||
|
|
# Evaluation configuration
|
||
|
|
eval_cfg = dict(
|
||
|
|
evaluator=dict(type=HealthBenchEvaluator),
|
||
|
|
pred_role='BOT',
|
||
|
|
)
|
||
|
|
healthbench_vanilla_dataset = dict(
|
||
|
|
type=HealthBenchDataset,
|
||
|
|
abbr='healthbench_vanilla',
|
||
|
|
path='huihuixu/healthbench',
|
||
|
|
subset='vanilla',
|
||
|
|
reader_cfg=reader_cfg,
|
||
|
|
infer_cfg=infer_cfg,
|
||
|
|
eval_cfg=eval_cfg,
|
||
|
|
)
|
||
|
|
healthbench_hard_dataset = dict(
|
||
|
|
type=HealthBenchDataset,
|
||
|
|
abbr='healthbench_hard',
|
||
|
|
path='huihuixu/healthbench',
|
||
|
|
subset='hard',
|
||
|
|
reader_cfg=reader_cfg,
|
||
|
|
infer_cfg=infer_cfg,
|
||
|
|
eval_cfg=eval_cfg,
|
||
|
|
)
|
||
|
|
healthbench_consensus_dataset = dict(
|
||
|
|
type=HealthBenchDataset,
|
||
|
|
abbr='healthbench_consensus',
|
||
|
|
path='huihuixu/healthbench',
|
||
|
|
subset='consensus',
|
||
|
|
reader_cfg=reader_cfg,
|
||
|
|
infer_cfg=infer_cfg,
|
||
|
|
eval_cfg=eval_cfg,
|
||
|
|
)
|
||
|
|
|
||
|
|
healthbench_all_datasets = [healthbench_vanilla_dataset, healthbench_hard_dataset, healthbench_consensus_dataset ]
|