Title: Support for non-tensor based datasets in Accelerate

### System Info

```Shell
accelerate==0.21.0
python==3.9
```

### Information

- [X] The official example scripts
- [ ] My own modified scripts

### Tasks

- [ ] One of the scripts in the examples/ folder of Accelerate or an officially supported `no_trainer` script in the `examples` folder of the `transformers` repo (such as `run_no_trainer_glue.py`)
- [X] My own task or dataset (give details below)

### Reproduction

I encountered an issue while using the Accelerate library, as it does not support non-tensor based datasets. For instance, consider the following situation:
```python
return {
"image": tensor,
"text_input": str
}
```
In this case, an error occurs: `Can only concatenate tensors but got `. The problem lies in the following code:

[raise TypeError(f"Can only concatenate tensors but got {type(data[0])}")](https://github.com/huggingface/accelerate/blob/69e4c3c54da3201eda288b500d138761e7a5221c/src/accelerate/utils/operations.py#L365C1-L365C1)

The concat function here can only handle tensor type data, otherwise, it raises an error.

### Expected behavior

However, in many practical applications, we often need to work with non-tensor datasets in IO operations. I would like to request support for non-tensor type datasets in Accelerate.