Cannot load dataset, fails with nested data conversions not implemented for chunked array outputs

### Describe the bug

Hi! When I load this dataset, it fails with a pyarrow error. I'm using datasets 4.1.1, though I also see this with datasets 4.1.2

To reproduce:

```
import datasets

ds = datasets.load_dataset(path="metr-evals/malt-public", name="irrelevant_detail")
```

Error:
```
Traceback (most recent call last):
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
    for _, table in generator:
                    ^^^^^^^^^
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables
    for batch_idx, record_batch in enumerate(
                                   ~~~~~~~~~^
        parquet_fragment.to_batches(
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<5 lines>...
        )
        ^
    ):
    ^
  File "pyarrow/_dataset.pyx", line 3904, in _iterator
  File "pyarrow/_dataset.pyx", line 3494, in pyarrow._dataset.TaggedRecordBatchIterator.__next__
  File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Nested data conversions not implemented for chunked array outputs

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/Users/neev/scratch/test_hf.py", line 3, in <module>
    ds = datasets.load_dataset(path="metr-evals/malt-public", name="irrelevant_detail")
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/load.py", line 1412, in load_dataset
    builder_instance.download_and_prepare(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        download_config=download_config,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<3 lines>...
        storage_options=storage_options,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/builder.py", line 894, in download_and_prepare
    self._download_and_prepare(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~^
        dl_manager=dl_manager,
        ^^^^^^^^^^^^^^^^^^^^^^
    ...<2 lines>...
        **download_and_prepare_kwargs,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/builder.py", line 970, in _download_and_prepare
    self._prepare_split(split_generator, **prepare_split_kwargs)
    ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/builder.py", line 1702, in _prepare_split
    for job_id, done, content in self._prepare_split_single(
                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~^
        gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ):
    ^
  File "/Users/neev/scratch/.venv/lib/python3.13/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
    raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
```

### Steps to reproduce the bug

To reproduce:

```
import datasets

ds = datasets.load_dataset(path="metr-evals/malt-public", name="irrelevant_detail")
```

### Expected behavior

The dataset loads

### Environment info

Datasets: 4.1.1
Python: 3.13
Platform: Macos

Comments:
Hey @neevparikh,
Thanks for reporting this! I can reproduce the issue and have identified the root cause.
Problem: The metr-evals/malt-public dataset contains deeply nested conversation data that exceeds PyArrow's 16MB chunk limit. When PyArrow tries to read it in chunks, it hits a fundamental limitation: "Nested data conversions not implemented for chunked array outputs".
Root Cause: Your dataset has large nested arrays (conversation trees with 4k-87k elements) that get automatically chunked by PyArrow, but the nested data conversion logic can't handle repetition levels across chunk boundaries
 I'm preparing a PR that adds a fallback mechanism to the parquet reader. When this specific error occurs, it will:

Detect the nested data issue
Combine chunks selectively for problematic columns
Continue processing normally

This maintains backward compatibility while fixing the issue for nested datasets like yours.
Workaround (if you need immediate access): Try loading with smaller batch sizes:
pythonds = datasets.load_dataset("metr-evals/malt-public", name="irrelevant_detail", 
                          download_config=datasets.DownloadConfig(
                              parquet_batch_size=1000
                          ))