mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
39 lines
1.4 KiB
Python
39 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.ruler.ruler_qa import RulerQaDataset
|
||
|
|
from opencompass.datasets.ruler.ruler_qa import RulerQaEvaluator
|
||
|
|
|
||
|
|
qa_configurations = [
|
||
|
|
{'dataset': 'squad', 'path': './data/ruler/dev-v2.0.json'},
|
||
|
|
{'dataset': 'hotpotqa', 'path': './data/ruler/hotpotqa.json'},
|
||
|
|
]
|
||
|
|
|
||
|
|
qa_datasets = []
|
||
|
|
for index, config in enumerate(qa_configurations):
|
||
|
|
dataset_dict = {
|
||
|
|
'abbr': f'ruler_qa_{config["dataset"]}',
|
||
|
|
'dataset': config['dataset'],
|
||
|
|
'path': config['path'],
|
||
|
|
'type': RulerQaDataset,
|
||
|
|
'tokens_to_generate': 50,
|
||
|
|
'reader_cfg': dict(input_columns=['prompt'], output_column='answer'),
|
||
|
|
'infer_cfg': dict(
|
||
|
|
prompt_template=dict(
|
||
|
|
type=PromptTemplate,
|
||
|
|
template=dict(
|
||
|
|
round=[
|
||
|
|
dict(role='HUMAN', prompt='{prompt}'),
|
||
|
|
dict(role='BOT', prompt='{answer}\n'),
|
||
|
|
]
|
||
|
|
),
|
||
|
|
),
|
||
|
|
retriever=dict(type=ZeroRetriever),
|
||
|
|
inferencer=dict(type=GenInferencer),
|
||
|
|
),
|
||
|
|
'eval_cfg': dict(
|
||
|
|
evaluator=dict(type=RulerQaEvaluator),
|
||
|
|
),
|
||
|
|
}
|
||
|
|
qa_datasets.append(dataset_dict)
|