In [7]: from renumics import spotlight
   ...: from sliceguard import SliceGuard
   ...: from sliceguard.data import from_huggingface
   ...: from sklearn.metrics import accuracy_score
   ...: 
   ...: # Load an Example Dataset as DataFrame
   ...: df = from_huggingface("renumics/emodb")
   ...: 
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
Cell In[7], line 7
      4 from sklearn.metrics import accuracy_score
      6 # Load an Example Dataset as DataFrame
----> 7 df = from_huggingface("renumics/emodb")

File ~/miniconda3/envs/spotlight/lib/python3.9/site-packages/sliceguard/data.py:36, in from_huggingface(dataset_identifier)
     29 for fname, ftype in cur_split.features.items():
     30     if (
     31         not isinstance(ftype, Image)
     32         and not isinstance(ftype, ClassLabel)
     33         and not isinstance(ftype, Value)
     34         and not isinstance(ftype, Sequence)
     35     ):
---> 36         raise RuntimeError(
     37             f"Found unsupported datatype {ftype}. Use custom load function."
     38         )
     39     # Run transformations for specific data types if needed.
     40     if isinstance(ftype, ClassLabel):

RuntimeError: Found unsupported datatype Audio(sampling_rate=None, mono=True, decode=True, id=None). Use custom load function.