OpenCompass/opencompass/datasets/flores.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

54 lines
1.8 KiB
Python

import os
import re
from datasets import Dataset, DatasetDict
from opencompass.registry import LOAD_DATASET, TEXT_POSTPROCESSORS
from .base import BaseDataset
@LOAD_DATASET.register_module()
class FloresFirst100Dataset(BaseDataset):
@staticmethod
def load_single(src_path, tgt_path, src_lang, tgt_lang):
with open(src_path, 'r', encoding='utf-8') as f:
src_lines = f.readlines()
with open(tgt_path, 'r', encoding='utf-8') as f:
tgt_lines = f.readlines()
assert len(src_lines) == len(tgt_lines)
dataset_list = [{
f'sentence_{src_lang}': src_lines[i].strip(),
f'sentence_{tgt_lang}': tgt_lines[i].strip(),
} for i in range(len(src_lines))]
return Dataset.from_list(dataset_list)
@staticmethod
def load(path, name):
src_lang, tgt_lang = name.split('-')
dev_dataset = FloresFirst100Dataset.load_single(
os.path.join(path, 'dev', f'{src_lang}.dev'),
os.path.join(path, 'dev', f'{tgt_lang}.dev'), src_lang, tgt_lang)
devtest_dataset = FloresFirst100Dataset.load_single(
os.path.join(path, 'devtest', f'{src_lang}.devtest'),
os.path.join(path, 'devtest', f'{tgt_lang}.devtest'), src_lang,
tgt_lang)
return DatasetDict({'dev': dev_dataset, 'devtest': devtest_dataset})
@TEXT_POSTPROCESSORS.register_module('flores')
def flores_postprocess(text: str) -> str:
text = text.strip().split('\n')[0]
return text
@TEXT_POSTPROCESSORS.register_module('flores-chinese')
def flores_postprocess_chinese(text: str) -> str:
import jieba
truncated_text = text.strip().split('\n')[0]
cleaned_text = re.sub(r'\s+', ' ', truncated_text).strip()
cleaned_text = ' '.join(jieba.cut(cleaned_text))
return cleaned_text