OpenCompass/opencompass/datasets/subjective/subjective_cmp.py
bittersweet1999 2d4da8dd02
[Feature] Add CompassArena (#828)
* add compass arena

* add compass_arena

* add compass arena

* Update opencompass/summarizers/subjective/compass_arena.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update opencompass/summarizers/subjective/__init__.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update opencompass/datasets/subjective/compass_arena.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update opencompass/datasets/subjective/__init__.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update configs/eval_subjective_compassarena.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update configs/datasets/subjective/compassarena/compassarena_compare.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update configs/eval_subjective_compassarena.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* Update configs/datasets/subjective/compassarena/compassarena_compare.py

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>

* fix check position bias

---------

Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>
2024-01-23 15:12:46 +08:00

35 lines
1.0 KiB
Python

import json
import os.path as osp
from datasets import Dataset, DatasetDict
from opencompass.registry import LOAD_DATASET
from ..base import BaseDataset
@LOAD_DATASET.register_module()
class SubjectiveCmpDataset(BaseDataset):
def load(self, path: str, name: str):
filename = osp.join(path, f'{name}.json')
dataset = DatasetDict()
raw_data = []
with open(filename, 'r', encoding='utf-8') as f:
json_data = json.load(f)
for problem in json_data:
question = problem['question']
capability = problem['capability']
others = problem['others']
raw_data.append({
'question': question,
'capability': capability,
'others': others,
'judge': {
'capability': capability,
'question': question
}
})
dataset = Dataset.from_list(raw_data)
return dataset