Errror when saving to disk a dataset of images

### Describe the bug

Hello!

I have an issue when I try to save on disk my dataset of images. The error I get is:

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1442, in save_to_disk
    for job_id, done, content in Dataset._save_to_disk_single(**kwargs):
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1473, in _save_to_disk_single
    writer.write_table(pa_table)
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_writer.py", line 570, in write_table
    pa_table = embed_table_storage(pa_table)
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/table.py", line 2268, in embed_table_storage
    arrays = [
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/table.py", line 2269, in <listcomp>
    embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name]
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/table.py", line 1817, in wrapper
    return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/table.py", line 1817, in <listcomp>
    return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/table.py", line 2142, in embed_array_storage
    return feature.embed_storage(array)
  File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/features/image.py", line 269, in embed_storage
    storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null())
  File "pyarrow/array.pxi", line 2766, in pyarrow.lib.StructArray.from_arrays
  File "pyarrow/array.pxi", line 2961, in pyarrow.lib.c_mask_inverted_from_obj
TypeError: Mask must be a pyarrow.Array of type boolean
```

My dataset is around 50K images, is this error might be due to a bad image?

Thanks for the help.

### Steps to reproduce the bug

```python
from datasets import load_dataset
dataset = load_dataset("imagefolder", data_dir="/path/to/dataset")
dataset["train"].save_to_disk("./myds", num_shards=40)
```

### Expected behavior

Having my dataset properly saved to disk.

### Environment info

- `datasets` version: 2.11.0
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.10
- Huggingface_hub version: 0.13.3
- PyArrow version: 11.0.0
- Pandas version: 2.0.0

Looks like as long as the number of shards makes a batch lower than 1000 images it works. In my training set I have 40K images. If I use `num_shards=40` (batch of 1000 images) I get the error, but if I update it to `num_shards=50` (batch of 800 images) it works.

I will be happy to share my dataset privately if it can help to better debug.

Hi! I didn't manage to reproduce this behavior, so sharing the dataset with us would help a lot. 

> My dataset is around 50K images, is this error might be due to a bad image?

This shouldn't be the case as we save raw data to disk without decoding it.

OK, thanks! The dataset is currently hosted on a gcs bucket. How would you like to proceed for sharing the link? 

You could follow [this](https://cloud.google.com/storage/docs/collaboration#browser) procedure or upload the dataset to Google Drive (50K images is not that much unless high-res) and send me an email with the link.

Thanks @mariosasko. I just sent you the GDrive link.

Thanks @jplu! I managed to reproduce the `TypeError` - it stems from [this](https://github.com/huggingface/datasets/blob/e3f4f124a1b118a5bfff5bae76b25a68aedbebbc/src/datasets/features/image.py#L258-L264) line, which can return a `ChunkedArray` (its mask is also chunked then, which Arrow does not allow) when the embedded data is too big to fit in a standard `Array`.

I'm working on a fix.

@yairl-dn You should be able to bypass this issue by reducing `datasets.config.DEFAULT_MAX_BATCH_SIZE` (1000 by default)

In Datasets 3.0, the Image storage format will be simplified, so this should be easier to fix then.

The same error occurs with my save_to_disk() of Audio() items. I still get it with:
```python
import datasets
datasets.config.DEFAULT_MAX_BATCH_SIZE=35
from datasets import Features, Array2D, Value, Dataset, Sequence, Audio
```

```
Saving the dataset (41/47 shards):  88%|██████████████████████████████████████████▉      | 297/339 [01:21<00:11,  3.65 examples/s]
Traceback (most recent call last):
File "/mnt/ddrive/prj/voice/voice-training-dataset-create/./dataset.py", line 155, in <module>
create_dataset(args)
File "/mnt/ddrive/prj/voice/voice-training-dataset-create/./dataset.py", line 137, in create_dataset
hf_dataset.save_to_disk(args.outds)
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 1532, in save_to_disk
for job_id, done, content in Dataset._save_to_disk_single(**kwargs):
File "/home/j/src/py/datasets/src/datasets/arrow_dataset.py", line 1563, in _save_to_disk_single
writer.write_table(pa_table)
File "/home/j/src/py/datasets/src/datasets/arrow_writer.py", line 574, in write_table
pa_table = embed_table_storage(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/table.py", line 2307, in embed_table_storage
arrays = [
^
File "/home/j/src/py/datasets/src/datasets/table.py", line 2308, in <listcomp>
embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/table.py", line 1831, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/table.py", line 1831, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/table.py", line 2177, in embed_array_storage
return feature.embed_storage(array)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/j/src/py/datasets/src/datasets/features/audio.py", line 276, in embed_storage
storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 2850, in pyarrow.lib.StructArray.from_arrays
File "pyarrow/array.pxi", line 3290, in pyarrow.lib.c_mask_inverted_from_obj
TypeError: Mask must be a pyarrow.Array of type boolean
```