OpenCompass/opencompass/datasets/commonsenseqa.py
Fengzhe Zhou 689ffe5b63
[Feature] Use dataset in local path (#570)
* update commonsenseqa

* update drop

* update flores_first100

* update gsm8k

* update humaneval

* update lambda

* update obqa

* update piqa

* update race

* update siqa

* update story_cloze

* update strategyqa

* update tydiqa

* update winogrande

* update doc

* update hellaswag

* fix obqa

* update collections

* update .zip name
2023-11-13 13:00:37 +08:00

45 lines
1.4 KiB
Python

import json
import os
from datasets import Dataset, DatasetDict
from opencompass.registry import LOAD_DATASET
from .base import BaseDataset
@LOAD_DATASET.register_module()
class commonsenseqaDataset(BaseDataset):
@staticmethod
def load(path):
dataset = {}
for split, stub in [
['train', 'train_rand_split.jsonl'],
['validation', 'dev_rand_split.jsonl'],
]:
data_path = os.path.join(path, stub)
dataset_list = []
with open(data_path, 'r', encoding='utf-8') as f:
for line in f:
line = json.loads(line)
dataset_list.append({
'question':
line['question']['stem'],
'A':
line['question']['choices'][0]['text'],
'B':
line['question']['choices'][1]['text'],
'C':
line['question']['choices'][2]['text'],
'D':
line['question']['choices'][3]['text'],
'E':
line['question']['choices'][4]['text'],
'answerKey':
line['answerKey'],
})
dataset[split] = Dataset.from_list(dataset_list)
return DatasetDict(dataset)