    raise TypeError( TypeError: Provided `function` which is applied to all elements of table returns a variable of type <class 'list'>. Make sure provided `function` returns a variable of type `dict` to update the dataset or `None` if you are only interested in side effects.
## Describe the bug
A clear and concise description of what the bug is.
I am trying to use Dataset to load my file in order to use Bert embeddings model baut when I finished loading using dataset and I want to pass to the tokenizer using the function map; I get the following error : raise TypeError(
TypeError: Provided `function` which is applied to all elements of table returns a variable of type <class 'list'>. Make sure provided `function` returns a variable of type `dict` to update the dataset or `None` if you are only interested in side effects.

I was able to load my file using dataset before but since this morning , I keep getting this erreor.
## Steps to reproduce the bug
```python
# Xtrain, ytrain, filename, len_labels = read_file_2(fic)
	# Xtrain, lge_size = get_flaubert_layer(Xtrain, path_to_model_lge)

	data_preprocessed = make_new_traindata(Xtrain)
	
	my_dict = {"verbatim": data_preprocessed[1], "label": ytrain} # lemme avec conjonction
	dataset = Dataset.from_dict(my_dict)
```

## Expected results
A clear and concise description of the expected results.

## Actual results
Specify the actual results or traceback.

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version:
- Platform:
- Python version:
- PyArrow version:
