Issue: jsonlines files don't load with `load_dataset`

### Describe the bug

While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.

### Steps to reproduce the bug

Code:
```
from datasets import load_dataset
dset = load_dataset('slotreck/pickle')
```

Traceback:
```
Downloading readme: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 925/925 [00:00<00:00, 3.11MB/s]
Downloading and preparing dataset json/slotreck--pickle to /mnt/home/lotrecks/.cache/huggingface/datasets/slotreck___json/slotreck--pickle-0c311f36ed032b04/0.0.0/8bb11242116d547c741b2e8a1f18598ffdd40a1d4f2a2872c7a28b697434bc96...
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 589k/589k [00:00<00:00, 18.9MB/s]
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 104k/104k [00:00<00:00, 4.61MB/s]
Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 170k/170k [00:00<00:00, 7.71MB/s]
Downloading data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00,  3.77it/s]
Extracting data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 523.92it/s]
Generating train split: 0 examples [00:00, ? examples/s]Failed to read file '/mnt/home/lotrecks/.cache/huggingface/datasets/downloads/6ec07bb2f279c9377036af6948532513fa8f48244c672d2644a2d7018ee5c9cb' with error <class 'pyarrow.lib.ArrowInvalid'>: JSON parse error: Column(/ner/[]/[]/[]) changed from number to string in row 0
Traceback (most recent call last):                      
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 144, in _generate_tables
    dataset = json.load(f)
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/__init__.py", line 296, in load
    parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/__init__.py", line 348, in loads
    return _default_decoder.decode(s)
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/json/decoder.py", line 340, in decode
    raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 3086)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
    for _, table in generator:
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 147, in _generate_tables
    raise e
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
    io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
  File "pyarrow/_json.pyx", line 259, in pyarrow._json.read_json
  File "pyarrow/error.pxi", line 144, in pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/ner/[]/[]/[]) changed from number to string in row 0

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/load.py", line 1815, in load_dataset
    storage_options=storage_options,
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 913, in download_and_prepare
    **download_and_prepare_kwargs,
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1004, in _download_and_prepare
    self._prepare_split(split_generator, **prepare_split_kwargs)
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1768, in _prepare_split
    gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
  File "/mnt/home/lotrecks/anaconda3/envs/pickle/lib/python3.7/site-packages/datasets/builder.py", line 1912, in _prepare_split_single
    raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset
```

### Expected behavior

For the dataset to be loaded without error.

### Environment info

- `datasets` version: 2.13.1
- Platform: Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.12
- Huggingface_hub version: 0.15.1
- PyArrow version: 8.0.0
- Pandas version: 1.3.5

Comments:
Hi @serenalotreck,

We use Apache Arrow `pyarrow` to read jsonlines and it throws an error when trying to load your data files:
```python
In [1]: import pyarrow as pa

In [2]: data = pa.json.read_json("train.jsonl")
---------------------------------------------------------------------------
ArrowInvalid                              Traceback (most recent call last)
<ipython-input-14-e9b104832528> in <module>
----> 1 data = pa.json.read_json("train.jsonl")

.../huggingface/datasets/venv/lib/python3.9/site-packages/pyarrow/_json.pyx in pyarrow._json.read_json()

.../huggingface/datasets/venv/lib/python3.9/site-packages/pyarrow/error.pxi in pyarrow.lib.pyarrow_internal_check_status()

.../huggingface/datasets/venv/lib/python3.9/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()

ArrowInvalid: JSON parse error: Column(/ner/[]/[]/[]) changed from number to string in row 0
```

I think it has to do with the data structure of the fields "ner" (and also "relations"):
```json
"ner": [
  [
    [0, 4, "Biochemical_process"], 
    [15, 16, "Protein"]
  ], 
```
Arrow interprets this data structure as an array, an arrays contain just a single data type: 
- when reading sequentially, it finds first the `0` and infers that the data is of type `number`;
- when it finds the string `"Biochemical_process"`, it cannot cast it to number and throws the `ArrowInvalid` error

One solution could be to change the data structure of your data files. Any other ideas, @huggingface/datasets ?

Hi @albertvillanova, 

Thanks for the explanation! To the best of my knowledge, arrays in a json [can contain multiple data types](https://docs.actian.com/ingres/11.2/index.html#page/SQLRef/Data_Types.htm), and I'm able to read these files with the `jsonlines` package. Is the requirement for arrays to only have one data type specific to PyArrow?

I'd prefer to keep the data structure as is, since it's a specific input requirement for the models this data was generated for. Any thoughts on how to enable the use of `load_dataset` with this dataset would be great!

Hi again @serenalotreck,

Yes, it is specific to PyArrow: as far as I know, Arrow does not support arrays with multiple data types.

As this is related specifically to your dataset structure (and not the `datasets` library), I have created a dedicated issue in your dataset page: https://huggingface.co/datasets/slotreck/pickle/discussions/1

Let's continue the discussion there! :hugs:  

> Hi again @serenalotreck,
> 
> Yes, it is specific to PyArrow: as far as I know, Arrow does not support arrays with multiple data types.
> 
> As this is related specifically to your dataset structure (and not the `datasets` library), I have created a dedicated issue in your dataset page: https://huggingface.co/datasets/slotreck/pickle/discussions/1
> 
> Let's continue the discussion there! 🤗

This is really terrible. My JSONL format data is very simple, but I still report this error
![image](https://github.com/huggingface/datasets/assets/58240629/e3fed922-ced4-406c-b5bc-90a4b891c4ee)
The error message is as follows：
  File "pyarrow/_json.pyx", line 290, in pyarrow._json.read_json
  File "pyarrow/error.pxi", line 144, in pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/inputs) changed from string to number in row 208