mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
58a57a4c45
* add flames datasets * fix lint * rm quota * add judgemodel info and fix os path * support flames dataset * support flames dataset --------- Co-authored-by: bittersweet1999 <1487910649@qq.com>
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
# flake8: noqa: E501
|
|
import json
|
|
import os.path as osp
|
|
import re
|
|
from typing import Optional
|
|
|
|
from datasets import Dataset, DatasetDict
|
|
|
|
from opencompass.registry import LOAD_DATASET
|
|
|
|
from .subjective.subjective_cmp import SubjectiveCmpDataset
|
|
|
|
|
|
class Config:
|
|
|
|
def __init__(self, flames_config_path, flames_bench_config_name) -> None:
|
|
config_file_path = osp.join(flames_config_path,
|
|
flames_bench_config_name)
|
|
with open(config_file_path, 'r') as config_file:
|
|
self.config = ''.join(config_file.readlines())
|
|
config_file.close()
|
|
|
|
|
|
def prompt_construct(sample, config: Config):
|
|
dimensions = config.config
|
|
base_prompt = '{dimensions}'\
|
|
'{question}\n' \
|
|
'回答: '
|
|
prompt = base_prompt.format(dimensions=dimensions,
|
|
question=sample['prompt'])
|
|
|
|
return prompt
|
|
|
|
|
|
@LOAD_DATASET.register_module()
|
|
class FlamesDataset(SubjectiveCmpDataset):
|
|
|
|
def load(
|
|
self,
|
|
path: str,
|
|
name: str,
|
|
):
|
|
config = Config(path, f'{name}_config.txt')
|
|
|
|
dataset = []
|
|
with open(osp.join(path, f'{name}.json')) as f:
|
|
dataset = json.load(f)
|
|
flames_dataset = []
|
|
for ins in dataset:
|
|
ins['instruction'] = prompt_construct(ins, config)
|
|
ins['judge'] = {
|
|
'dimension': ins['dimension'],
|
|
'subcomponent': ins['subcomponent']
|
|
}
|
|
flames_dataset.append(ins)
|
|
flames_dataset = Dataset.from_list(flames_dataset)
|
|
return flames_dataset
|