关于原子数据的问题

[lovedididi]

在运行过程中发现你们给出的原子文件处理有异常值，例如23年的亚马逊sports数据中在item文件中的price有‘-’，导致无法正常运行
报错如下：
Traceback (most recent call last):
File "/home/yy/.conda/envs/recbole/lib/python3.10/site-packages/pandas/io/parsers/base_parser.py", line 848, in _cast_types
values = astype_array(values, cast_type, copy=True)
File "/home/yy/.conda/envs/recbole/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 182, in astype_array
values = _astype_nansafe(values, dtype, copy=copy)
File "/home/yy/.conda/envs/recbole/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 133, in _astype_nansafe
return arr.astype(dtype, copy=True)
ValueError: could not convert string to float: '—'
当我用代码希望用None替换这个异常数据的时候，会出现另一个错误。
我的代码如下：
df['price'] = df['price'].replace('-', None)

[lovedididi]

这是我上面替换数据后，出现的错误。
Traceback (most recent call last):
File "/home/yy/FDSA/RecBole-master/run_recbole.py", line 49, in
run(
File "/home/yy/FDSA/RecBole-master/recbole/quick_start/quick_start.py", line 52, in run
res = run_recbole(
File "/home/yy/FDSA/RecBole-master/recbole/quick_start/quick_start.py", line 129, in run_recbole
dataset = create_dataset(config)
File "/home/yy/FDSA/RecBole-master/recbole/data/utils.py", line 72, in create_dataset
dataset = dataset_class(config)
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/sequential_dataset.py", line 36, in init
super().init(config)
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/dataset.py", line 108, in init
self._from_scratch()
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/dataset.py", line 118, in _from_scratch
self._load_data(self.dataset_name, self.dataset_path)
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/dataset.py", line 272, in _load_data
self.item_feat = self._load_user_or_item_feat(
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/dataset.py", line 340, in _load_user_or_item_feat
feat = self._load_feat(feat_path, source)
File "/home/yy/FDSA/RecBole-master/recbole/data/dataset/dataset.py", line 462, in _load_feat
field, ftype = field_type.split(":")
ValueError: not enough values to unpack (expected 2, got 1)