Title: python core dump when downloading dataset
State: open

### Describe the bug

When downloading a dataset in streamed mode and exiting the program before the download completes, the python program core dumps when exiting:

```
terminate called without an active exception
Aborted (core dumped)
```

Tested with python 3.12.3, python 3.9.21



### Steps to reproduce the bug

Create python venv:

```bash
python -m venv venv
./venv/bin/activate
pip install datasets==4.4.1
```

Execute the following program:

```
from datasets import load_dataset
ds = load_dataset("HuggingFaceFW/fineweb-2", 'hrv_Latn', split="test", streaming=True)
for sample in ds:
    break
```


### Expected behavior

Clean program exit

### Environment info

described above

**note**: the example works correctly when using ```datasets==3.1.0```

Comments:
Hi @hansewetz I'm curious, for me it works just fine. Are you still observing the issue?

Yup ... still the same issue.
However, after adding a ```sleep(1)``` call after the ``` for``` loop by accident during debugging, the program terminates properly (not a good solution though ... :-) ).
Are there some threads created that handles the download that are still running when the program exits?
Haven't had time yet to go through the code in ```iterable_dataset.py::IterableDataset```


Interesting, I was able to reproduce it, on a jupyter notebook the code runs just fine, as a Python script indeed it seems to never finish running (which is probably leading to the core dumped error). I'll try and take a look at the source code as well to see if I can figure it out.

Hi @hansewetz ,
If possible can I be assigned with this issue?



```If possible can I be assigned with this issue?```
Hi, I don't know how assignments work here and who can take decisions about assignments ... 

Hi @hansewetz and @Aymuos22, I have made some progress:

1) Confirmed last working version is 3.1.0

2) From 3.1.0 to 3.2.0, there was a change in how parquet files are read (see [here](https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/parquet/parquet.py/#168).

The issue seems to be the following code:

```
parquet_fragment.to_batches(
                                batch_size=batch_size,
                                columns=self.config.columns,
                                filter=filter_expr,
                                batch_readahead=0,
                                fragment_readahead=0,
                            )
```

Adding a `use_threads=False` parameter to the `to_batches` call solves the bug. However, this seems far from an optimal solution, since we'd like to be able to use multiple threads for reading the fragments. 

I'll keep investigating to see if there's a better solution.

Hi @lhoestq, may I ask if the current behaviour was expected by you folks and you don't think it needs solving, or should I keep on investigating a compromise between using multithreading / avoid unexpected behaviour? Thanks in advance :) 

Having the same issue. the code never stops executing. Using datasets 4.4.1
Tried with "islice" as well. When the streaming flag is True, the code doesn't end execution. On vs-code.

The issue on pyarrow side is here: https://github.com/apache/arrow/issues/45214 and the original issue in `datasets` here: https://github.com/huggingface/datasets/issues/7357

It would be cool to have a fix on the pyarrow side

Thank you very much @lhoestq, I'm reading the issue thread in pyarrow and realizing you've been raising awareness around this for a long time now. When I have some time I'll look at @pitrou's PR to see if I can get a better understanding of what's going on on pyarrow.