OpenCompass/opencompass/configs/datasets/xlivecodebench/livecodebench_o1_gen_f0ed6c.py
2025-02-10 03:27:55 +01:00

166 lines
4.5 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 (
LCBCodeGenerationDataset,
LCBCodeExecutionDataset,
LCBTestOutputPredictionDataset,
LCBCodeGenerationEvaluator,
LCBCodeExecutionEvaluator,
LCBTestOutputEvaluator
)
from opencompass.datasets.livecodebench import TestOutputPromptConstants
lcb_code_generation_reader_cfg = dict(
input_columns=[
'question_content',
'format_prompt',
],
# output_column='evaluation_sample',
output_column='question_id',
)
SYSTEM_MESSAGE_GENERIC = f'You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program.'
prompt_template = '### Question:\n{question_content}\n\n{format_prompt}' + \
'### Answer: (use the provided format with backticks)\n\n'
# Code Generation Tasks
lcb_code_generation_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
round=[
dict(
role='HUMAN',
prompt=prompt_template
)
]
)
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024)
)
lcb_code_generation_eval_cfg = dict(
evaluator=dict(
type=LCBCodeGenerationEvaluator,
num_process_evaluate=4,
timeout=6,
release_version='release_v4',
),
pred_role='BOT',
)
LCBCodeGeneration_dataset = dict(
type=LCBCodeGenerationDataset,
abbr='lcb_code_generation_v4',
path='opencompass/code_generation_lite',
reader_cfg=lcb_code_generation_reader_cfg,
infer_cfg=lcb_code_generation_infer_cfg,
eval_cfg=lcb_code_generation_eval_cfg,
release_version='release_v4',
)
# Code Execution Dataset
lcb_code_execution_reader_cfg = dict(
input_columns=[
'prompt',
],
output_column='evaluation_sample',
)
lcb_code_execution_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
begin=[
dict(
role='SYSTEM',
prompt='You are an expert at Python programming, code execution, test case generation, and fuzzing.'
),
],
round=[
dict(
role='HUMAN',
prompt='{prompt}'
)
]
)
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024)
)
lcb_code_execution_eval_cfg = dict(
evaluator=dict(
type=LCBCodeExecutionEvaluator,
),
pred_role='BOT',
)
LCBCodeExecution_dataset = dict(
type=LCBCodeExecutionDataset,
abbr='lcb_code_execution',
path='opencompass/execution-v2',
reader_cfg=lcb_code_execution_reader_cfg,
infer_cfg=lcb_code_execution_infer_cfg,
eval_cfg=lcb_code_execution_eval_cfg,
)
# TestOuputput Dataset
lcb_test_output_reader_cfg = dict(
input_columns=[
'prompt',
],
output_column='evaluation_sample',
)
system_prompt = 'You are an expert Python programmer. You will be given a question (problem specification) and will generate a correct Python program that matches the specification and passes all tests. You will NOT return anything except for the program.'
lcb_test_output_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
# begin=[
# dict(
# role='SYSTEM',
# prompt=system_prompt
# ),
# ],
round=[
dict(
role='HUMAN',
prompt='{prompt}'
)
]
)
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024)
)
lcb_test_output_eval_cfg = dict(
evaluator=dict(
type=LCBTestOutputEvaluator,
),
pred_role='BOT',
)
LCBTestOutput_dataset = dict(
type=LCBTestOutputPredictionDataset,
abbr='lcb_test_output',
path='opencompass/test_generation',
reader_cfg=lcb_test_output_reader_cfg,
infer_cfg=lcb_test_output_infer_cfg,
eval_cfg=lcb_test_output_eval_cfg,
)
LCB_datasets = [
LCBCodeGeneration_dataset,
# LCBCodeExecution_dataset,
# LCBTestOutput_dataset,
]