mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
![]() |
from datasets import Dataset
|
||
|
|
||
|
from opencompass.registry import LOAD_DATASET
|
||
|
|
||
|
from ..base import BaseDataset
|
||
|
from .utils import iter_jsonl
|
||
|
|
||
|
|
||
|
@LOAD_DATASET.register_module()
|
||
|
class InfiniteBenchcodedebugDataset(BaseDataset):
|
||
|
|
||
|
@staticmethod
|
||
|
def load(path: str):
|
||
|
|
||
|
dataset = list(iter_jsonl(path))
|
||
|
|
||
|
raw_data = []
|
||
|
for item in dataset:
|
||
|
context = item['context']
|
||
|
question = item['input']
|
||
|
option_A = item['options'][0]
|
||
|
option_B = item['options'][1]
|
||
|
option_C = item['options'][2]
|
||
|
option_D = item['options'][3]
|
||
|
answer = chr(item['options'].index(item['answer'][0]) + ord('A'))
|
||
|
raw_data.append({
|
||
|
'context': context,
|
||
|
'question': question,
|
||
|
'option_A': option_A,
|
||
|
'option_B': option_B,
|
||
|
'option_C': option_C,
|
||
|
'option_D': option_D,
|
||
|
'answer': answer
|
||
|
})
|
||
|
dataset = Dataset.from_list(raw_data)
|
||
|
return dataset
|