OpenCompass/configs/datasets/taco/taco_levels_gen_411572.py

37 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 import TACODataset, TACOEvaluator
TACO_difficulties_list = ['EASY', 'MEDIUM', 'MEDIUM_HARD', 'HARD', 'VERY_HARD']
TACO_reader_cfg = dict(input_columns=['question', 'starter'], output_column='problem_id', train_split='test')
TACO_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
round=[
dict(role='HUMAN', prompt='Please write a python program to address the following QUESTION. Your ANSWER should be in a code block format like this: ```python # Write your code here ```. \nQUESTION:\n{question} {starter}\nANSWER:\n'),
],
),
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer, max_out_len=1024),
)
TACO_eval_cfg = dict(evaluator=dict(type=TACOEvaluator), pred_role='BOT')
TACO_datasets = []
for difficulty in TACO_difficulties_list:
TACO_datasets.append(
dict(
type=TACODataset,
abbr='TACO-' + difficulty,
path='./data/BAAI-TACO',
difficulty=difficulty,
reader_cfg=TACO_reader_cfg,
infer_cfg=TACO_infer_cfg,
eval_cfg=TACO_eval_cfg,
)
)