mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
57 lines
2.1 KiB
Python
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.datasets import (
|
|
SRbenchDataset,SRbenchDatasetEvaluator,mydataset_postprocess
|
|
)
|
|
|
|
|
|
INFER_TEMPLATE = f'''
|
|
You will be provided with a set of input-output pairs. Based on these data, infer the mathematical relationship between y and multiple input variables. Please note that the possible mathematical operations include: +, -, *, /, exp, sqrt, sin, arcsin, and constant terms.
|
|
The input sample data are as follows:
|
|
{{prompt1}}
|
|
Based on the above data, please infer the possible formula. Ensure that your inference applies to all the provided data points, and consider both linear and nonlinear combinations.
|
|
Verify whether your formula applies to the following new data point and adjust it to ensure accuracy:
|
|
{{prompt2}}
|
|
Finally, please output only the formula string you inferred (e.g. z=x_0 * x_1), without any additional information.
|
|
'''
|
|
|
|
srbench_reader_cfg = dict(input_columns=["prompt1","prompt2"], output_column='Formula')
|
|
|
|
srbench_datasets = []
|
|
|
|
srbench_infer_cfg = dict(
|
|
prompt_template=dict(
|
|
type=PromptTemplate,
|
|
template=dict(
|
|
round=[
|
|
dict(
|
|
role='HUMAN',
|
|
prompt=INFER_TEMPLATE)
|
|
]
|
|
),
|
|
),
|
|
retriever=dict(type=ZeroRetriever),
|
|
inferencer=dict(type=GenInferencer),
|
|
)
|
|
|
|
|
|
srbench_eval_cfg = dict(
|
|
evaluator=dict(type=SRbenchDatasetEvaluator),
|
|
pred_postprocessor=dict(type=mydataset_postprocess),
|
|
path="opencompass/srbench",
|
|
pred_role='BOT',
|
|
)
|
|
|
|
srbench_datasets.append(
|
|
dict(
|
|
abbr='srbench',
|
|
type=SRbenchDataset,
|
|
path='opencompass/srbench',
|
|
reader_cfg=srbench_reader_cfg,
|
|
infer_cfg=srbench_infer_cfg,
|
|
eval_cfg=srbench_eval_cfg,
|
|
)
|
|
)
|
|
|