mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
from datasets import Dataset, DatasetDict
|
|
|
|
from opencompass.registry import LOAD_DATASET
|
|
|
|
from .base import BaseDataset
|
|
|
|
|
|
@LOAD_DATASET.register_module()
|
|
class QASPERCUTDataset(BaseDataset):
|
|
|
|
@staticmethod
|
|
def load(path: str):
|
|
import json
|
|
import os
|
|
dataset_dict = DatasetDict()
|
|
split = 'dev'
|
|
dev_list = []
|
|
|
|
dev = os.path.join(path, 'qasper-dev-v0.3.json')
|
|
with open(dev, 'r') as f:
|
|
dev_json = json.load(f)
|
|
|
|
for article_id in dev_json.keys():
|
|
full_article = '\n'.join([
|
|
(x['section_name'] if x['section_name'] else '') + '\n' +
|
|
'\n'.join(x['paragraphs']) + '\n'
|
|
for x in dev_json[article_id]['full_text']
|
|
])
|
|
for qa in dev_json[article_id]['qas']:
|
|
question = qa['question']
|
|
answers = []
|
|
clues = []
|
|
for x in qa['answers']:
|
|
answers.extend(x['answer']['extractive_spans'])
|
|
clues.extend(x['answer']['evidence'])
|
|
|
|
evis = [full_article.find(clue)
|
|
for clue in clues] + [100000000]
|
|
evi = min(evis)
|
|
if evi == -1 or evi == 100000000:
|
|
evi = 0
|
|
|
|
if answers:
|
|
dev_list.append({
|
|
'answer': answers,
|
|
'question': question,
|
|
'evidence': full_article[evi:],
|
|
})
|
|
else:
|
|
continue
|
|
|
|
dataset_dict[split] = Dataset.from_list(dev_list)
|
|
return dataset_dict
|