Filtering on an empty dataset returns a corrupted dataset.
~~It seems like #5043 fix (merged recently) is the root cause of such behaviour. When we empty indices mapping (because the dataset length equals to zero), we can no longer get column item like: `ds_filter_2['sentence']` which uses
`ds_filter_1._indices.column(0)`~~

**UPDATE:**
Empty datasets are returned without going through partial function on `map` method, which will not work to get indices for `filter`: we need to run `get_indices_from_mask_function` partial function on the dataset to get output = `{"indices": []}`. But this is complicated since functions used in args, in particular `get_indices_from_mask_function`, do not support empty datasets.
We can just handle empty datasets aside on filter method. #self-assign Thank you for solving this amazingly quickly!
## Describe the bug
When filtering a dataset twice, where the first result is an empty dataset, the second dataset seems corrupted.

## Steps to reproduce the bug
```python
  datasets = load_dataset("glue", "sst2")
  dataset_split = datasets['validation']
  ds_filter_1 = dataset_split.filter(lambda x: False)  # Some filtering condition that leads to an empty dataset
  assert ds_filter_1.num_rows == 0
  sentences = ds_filter_1['sentence']
  assert len(sentences) == 0
  ds_filter_2 = ds_filter_1.filter(lambda x: False)  # Some other filtering condition
  assert ds_filter_2.num_rows == 0
  assert 'sentence' in ds_filter_2.column_names
  sentences = ds_filter_2['sentence']
```

## Expected results
The last line should be returning an empty list, same as 4 lines above.

## Actual results
The last line currently raises `IndexError: index out of bounds`.

## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.5.2
- Platform: macOS-11.6.6-x86_64-i386-64bit
- Python version: 3.9.11
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
