mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
edab1c07ba
* add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * udpate dataset for modelscope support * update readme * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * update readme * remove tydiqa japanese subset * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * update readme * udpate dataset for modelscope support * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * remove tydiqa japanese subset * update util * remove .DS_Store * fix md format * move util into package * update docs/get_started.md * restore eval_api_zhipu_v2.py, add environment setting * Update dataset * Update * Update * Update * Update --------- Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local> Co-authored-by: Yunnglin <mao.looper@qq.com> Co-authored-by: Yun lin <yunlin@laptop.local> Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn> Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
96 lines
3.7 KiB
Python
96 lines
3.7 KiB
Python
import json
|
|
from os import environ
|
|
|
|
from datasets import Dataset
|
|
|
|
from opencompass.registry import LOAD_DATASET
|
|
from opencompass.utils import get_data_path
|
|
|
|
from .base import BaseDataset
|
|
|
|
|
|
@LOAD_DATASET.register_module()
|
|
class OBQADataset(BaseDataset):
|
|
|
|
@staticmethod
|
|
def load(path, name='main'):
|
|
path = get_data_path(path)
|
|
dataset_list = []
|
|
if environ.get('DATASET_SOURCE') == 'ModelScope':
|
|
from modelscope import MsDataset
|
|
ms_dataset = MsDataset.load(path, subset_name=name, split='test')
|
|
for line in ms_dataset:
|
|
item = {
|
|
'A': line['choices']['text'][0],
|
|
'B': line['choices']['text'][1],
|
|
'C': line['choices']['text'][2],
|
|
'D': line['choices']['text'][3],
|
|
'question_stem': line['question_stem'],
|
|
'answerKey': line['answerKey'],
|
|
}
|
|
if 'fact1' in line:
|
|
item['fact1'] = line['fact1']
|
|
dataset_list.append(item)
|
|
else:
|
|
with open(path, 'r') as f:
|
|
for line in f:
|
|
line = json.loads(line)
|
|
item = {
|
|
'A': line['question']['choices'][0]['text'],
|
|
'B': line['question']['choices'][1]['text'],
|
|
'C': line['question']['choices'][2]['text'],
|
|
'D': line['question']['choices'][3]['text'],
|
|
'question_stem': line['question']['stem'],
|
|
'answerKey': line['answerKey'],
|
|
}
|
|
if 'fact1' in line:
|
|
item['fact1'] = line['fact1']
|
|
dataset_list.append(item)
|
|
return Dataset.from_list(dataset_list)
|
|
|
|
|
|
@LOAD_DATASET.register_module()
|
|
class OBQADatasetV2(BaseDataset):
|
|
|
|
@staticmethod
|
|
def load(path, name='main'):
|
|
path = get_data_path(path)
|
|
dataset_list = []
|
|
if environ.get('DATASET_SOURCE') == 'ModelScope':
|
|
from modelscope import MsDataset
|
|
ms_dataset = MsDataset.load(path, subset_name=name, split='test')
|
|
for line in ms_dataset:
|
|
question = line['question_stem']
|
|
if not question.endswith('?'):
|
|
question += ' what?'
|
|
item = {
|
|
'A': line['choices']['text'][0],
|
|
'B': line['choices']['text'][1],
|
|
'C': line['choices']['text'][2],
|
|
'D': line['choices']['text'][3],
|
|
'question_stem': question,
|
|
'answerKey': line['answerKey'],
|
|
}
|
|
if 'fact1' in line:
|
|
item['fact1'] = line['fact1']
|
|
dataset_list.append(item)
|
|
else:
|
|
with open(path, 'r') as f:
|
|
for line in f:
|
|
line = json.loads(line)
|
|
question = line['question']['stem']
|
|
if not question.endswith('?'):
|
|
question += ' what?'
|
|
item = {
|
|
'A': line['question']['choices'][0]['text'],
|
|
'B': line['question']['choices'][1]['text'],
|
|
'C': line['question']['choices'][2]['text'],
|
|
'D': line['question']['choices'][3]['text'],
|
|
'question_stem': question,
|
|
'answerKey': line['answerKey'],
|
|
}
|
|
if 'fact1' in line:
|
|
item['fact1'] = line['fact1']
|
|
dataset_list.append(item)
|
|
return Dataset.from_list(dataset_list)
|