[HFUT Student ]当我使用CL4KT模型的时候报错 When I use the example code run_cl4kt_demo,I get an error

[AKkzzzz]

2024-12-15 00:18:43[INFO]: ============================================================
2024-12-15 00:18:47[INFO]: actual window size: 200
2024-12-15 00:18:47[ERROR]: Traceback (most recent call last):
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\quickstart\quickstart.py", line 57, in run_edustudio
traintpl = cls(cfg)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\traintpl\gd_traintpl.py", line 25, in init
super().init(cfg)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\traintpl\base_traintpl.py", line 54, in init
self.datatpl = self.get_datatpl_obj()
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\traintpl\base_traintpl.py", line 87, in get_datatpl_obj
datatpl: BaseDataTPL = self.datatpl_cls.from_cfg(self.cfg)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\datatpl\common\general_datatpl.py", line 107, in from_cfg
return cls(cfg, **kwargs)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\datatpl\common\edu_datatpl.py", line 30, in init
super().init(cfg, df, df_train, df_valid, df_test, status)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\datatpl\common\general_datatpl.py", line 78, in init
self.process_data()
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\datatpl\common\general_datatpl.py", line 143, in process_data
self.process_load_data_from_middata()
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\datatpl\common\general_datatpl.py", line 126, in process_load_data_from_middata
kwargs = op.process(**kwargs)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\atom_op\mid2cache\single\M2C_CL4KT_OP.py", line 23, in process
kwargs = self.compute_cpt2difflevel(**kwargs)
File "C:\Users\Akkzzzz\Desktop\EDU\EduStudio-main\edustudio\atom_op\mid2cache\single\M2C_CL4KT_OP.py", line 30, in compute_cpt2difflevel
for i, (c_list, r_list) in enumerate(zip(kwargs['df_train_folds'][0]['cpt_unfold_seq:token_seq'], kwargs['df_train_folds'][0]['label_seq:float_seq'])):
KeyError: 'df_train_folds'

经过添加调试代码，我发现是CL4KT的DataTPL中出了问题

CL4KTDataTPL如下：
class CL4KTDataTPL(EduDataTPL):
default_cfg = {
'mid2cache_op_seq': ['M2C_Label2Int', 'M2C_ReMapId', 'M2C_GenUnFoldKCSeq', 'M2C_CL4KT_OP'],
'M2C_CL4KT_OP': {
'sequence_truncation': 'recent',
}
}

调试代码显示结果如下：Processing operation: M2C_Label2Int
After M2c Label2Int, kwargs keys: dict keys(['df', 'df_train', 'df_valid', 'df_test', 'df_stu', 'df_exer', 'dt_info'])
Processing operation:M2C_ReMapId
After N2c ReapId, kwargs keys: dict keys(['df', 'df_train', 'df_valid', 'df_test', 'df_stu', 'df_exer’, 'df_info', "feats_group', "lbe_dict'])
Processing operation: M2C_GenUnFoldKcseg
After N2c Genunfoldkcseq, kwargs keys: dict keys('df', 'df_train', 'df_valid’, 'df_test’, 'df_stu’, 'df_exer’, 'df_info’, "feats_group', 'lbe_dict')

在经过M2C_GenUnFoldKCSeq的时候并没有生成df_train_folds，而df_train_folds数据是要在M2C_CL4KT_OP进行进一步处理分析的。因此我怀疑此代码报错有两点：1是因为DataTPL缺少了步骤，导致没有分出df_train_folds，2是因为M2C_GenUnFoldKCSeq代码有误，甚至是M2C_CL4KT_OP的代码有误。我在对第二点进行尝试的时候发现代码水平有限，修正不好，因此提交本issue。

[XChuckie]

🎄 Thank you for your feedback about EduStudio.

We indeed found that content about "kwargs['df_train_folds'][0]" can not be detected, and we have fixed this issue in the new version. You can try it again.