load_from_disk
Hello, It's an interesting issue here. I have the same problem, I have a local dataset and I want to push the dataset to the hub but huggingface does a copy of it.

```py
from datasets import load_dataset

dataset = load_dataset("webdataset", data_files="/media/works/data/*.tar") # copy here
dataset.push_to_hub("WaveGenAI/audios2")
```

Edit: I can use HfApi for my use case
 Is there any update on this issue? I found the same behavior too.
My datasets version is `2.13.2` Updating to the newest version of datasets lib resolved the issue. 
### Describe the bug

I have data saved with save_to_disk. The data is big (700Gb). When I try loading it, the only option is load_from_disk, and this function copies the data to a tmp directory, causing me to run out of disk space. Is there an alternative solution to that?

### Steps to reproduce the bug

when trying to load data using load_From_disk after being saved using save_to_disk 

### Expected behavior

run out of disk space

### Environment info

lateest version