mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
import re
|
|
|
|
from datasets import Dataset
|
|
|
|
from opencompass.openicl.icl_evaluator import BaseEvaluator
|
|
from opencompass.registry import LOAD_DATASET
|
|
from opencompass.utils import get_data_path
|
|
import json
|
|
from .base import BaseDataset
|
|
|
|
|
|
@LOAD_DATASET.register_module()
|
|
class xMGSMSDataset(BaseDataset):
|
|
|
|
@staticmethod
|
|
def load(path: str):
|
|
def read_jsonl(path: str):
|
|
data = []
|
|
with open(path, 'r', encoding='utf-8') as f:
|
|
for line in f:
|
|
data.append(json.loads(line))
|
|
return data
|
|
|
|
path = get_data_path(path, local_mode=True)
|
|
# src_lines = open(path, 'r', encoding='utf-8').readlines()
|
|
data = {'question': [], 'answer': []}
|
|
all_data = read_jsonl(path)
|
|
for lines in all_data:
|
|
#question, answer = lines.strip().split('\t')
|
|
data['question'].append(lines['question'])
|
|
data['answer'].append(lines['answer_number'])
|
|
|
|
dataset = Dataset.from_dict({
|
|
'question': data['question'],
|
|
'answer': data['answer']
|
|
})
|
|
return dataset
|
|
|
|
|
|
LANG_TO_ANSWER_PREFIX = {
|
|
'en': 'Answer',
|
|
'bn': 'উত্তর',
|
|
'de': 'Antwort',
|
|
'es': 'Respuesta',
|
|
'fr': 'Réponse',
|
|
'ja': '答え',
|
|
'ru': 'Ответ',
|
|
'sw': 'Jibu',
|
|
'te': 'సమాధానం',
|
|
'th': 'คำตอบ',
|
|
'zh': '答案',
|
|
'sr': 'Одговор',
|
|
'ar': 'الإجاب',# based on above instructions
|
|
'hu': 'Válasz',
|
|
'cs': 'Odpověď',
|
|
'vi': 'Câu trả lời',
|
|
'ko': '답',
|
|
}
|
|
|
|
|
|
def mgsm_postprocess(text: str, lang: str) -> str:
|
|
answer_prefix = LANG_TO_ANSWER_PREFIX[lang]
|
|
if answer_prefix not in text:
|
|
return ''
|
|
answer_text = text.split(answer_prefix)[-1].strip()
|
|
numbers = re.findall(r'\d+\.?\d*', answer_text.replace(',', ''))
|
|
return numbers[-1].rstrip('.') if numbers else ''
|
|
|
|
|
|
class xMGSM_Evaluator(BaseEvaluator):
|
|
|
|
def score(self, predictions, references):
|
|
assert len(predictions) == len(references)
|
|
print('references', references)
|
|
print('predictions', predictions)
|
|
|
|
num_correct, total = 0, 0
|
|
details = {}
|
|
for index, (references_answer, predictions_answer) in enumerate(
|
|
zip(references, predictions)):
|
|
if str(references_answer) == str(predictions_answer):
|
|
is_correct = True
|
|
else:
|
|
is_correct = False
|
|
|
|
num_correct += is_correct
|
|
total += 1
|
|
details[str(index)] = {
|
|
'references': references_answer,
|
|
'predictions': predictions_answer,
|
|
'correct': is_correct,
|
|
}
|
|
|
|
accuracy = num_correct / total * 100
|
|
final_result = {'accuracy': accuracy, 'details': details}
|
|
return final_result
|