Got stuck when I trying to load a dataset

### Describe the bug

Hello, everyone. I met a problem when I am trying to load a data file using load_dataset method on a Debian 10 system. The data file is not very large, only 1.63MB with 600 records. 
Here is my code:

from datasets import load_dataset

dataset = load_dataset('json', data_files='mypath/oaast_rm_zh.json')

I waited it for 20 minutes. It still no response. I cannot using Ctrl+C to cancel the command. I have to use Ctrl+Z to kill it. I also try it with a txt file, it still no response in a long time. 

I can load the same file successfully using my laptop (windows 10, python 3.8.5, datasets==2.14.5). I can also make it on another computer (Ubuntu 20.04.5 LTS, python 3.10.13, datasets 2.14.7). It only takes me 1-2 miniutes.

Could you give me some suggestions? Thank you.



### Steps to reproduce the bug

from datasets import load_dataset

dataset = load_dataset('json', data_files='mypath/oaast_rm_zh.json')

### Expected behavior

I hope it can load the file successfully.

### Environment info

OS: Debian GNU/Linux 10
Python: Python 3.10.13
Pip list:
Package                   Version
------------------------- ------------
accelerate                0.25.0
addict                    2.4.0
aiofiles                  23.2.1
aiohttp                   3.9.1
aiosignal                 1.3.1
aliyun-python-sdk-core    2.14.0
aliyun-python-sdk-kms     2.16.2
altair                    5.2.0
annotated-types           0.6.0
anyio                     3.7.1
async-timeout             4.0.3
attrs                     23.1.0
certifi                   2023.11.17
cffi                      1.16.0
charset-normalizer        3.3.2
click                     8.1.7
contourpy                 1.2.0
crcmod                    1.7
cryptography              41.0.7
cycler                    0.12.1
datasets                  2.14.7
dill                      0.3.7
docstring-parser          0.15
einops                    0.7.0
exceptiongroup            1.2.0
fastapi                   0.105.0
ffmpy                     0.3.1
filelock                  3.13.1
fonttools                 4.46.0
frozenlist                1.4.1
fsspec                    2023.10.0
gast                      0.5.4
gradio                    3.50.2
gradio_client             0.6.1
h11                       0.14.0
httpcore                  1.0.2
httpx                     0.25.2
huggingface-hub           0.19.4
idna                      3.6
importlib-metadata        7.0.0
importlib-resources       6.1.1
jieba                     0.42.1
Jinja2                    3.1.2
jmespath                  0.10.0
joblib                    1.3.2
jsonschema                4.20.0
jsonschema-specifications 2023.11.2
kiwisolver                1.4.5
markdown-it-py            3.0.0
MarkupSafe                2.1.3
matplotlib                3.8.2
mdurl                     0.1.2
modelscope                1.10.0
mpmath                    1.3.0
multidict                 6.0.4
multiprocess              0.70.15
networkx                  3.2.1
nltk                      3.8.1
numpy                     1.26.2
nvidia-cublas-cu12        12.1.3.1
nvidia-cuda-cupti-cu12    12.1.105
nvidia-cuda-nvrtc-cu12    12.1.105
nvidia-cuda-runtime-cu12  12.1.105
nvidia-cudnn-cu12         8.9.2.26
nvidia-cufft-cu12         11.0.2.54
nvidia-curand-cu12        10.3.2.106
nvidia-cusolver-cu12      11.4.5.107
nvidia-cusparse-cu12      12.1.0.106
nvidia-nccl-cu12          2.18.1
nvidia-nvjitlink-cu12     12.3.101
nvidia-nvtx-cu12          12.1.105
orjson                    3.9.10
oss2                      2.18.3
packaging                 23.2
pandas                    2.1.4
peft                      0.7.1
Pillow                    10.1.0
pip                       23.3.1
platformdirs              4.1.0
protobuf                  4.25.1
psutil                    5.9.6
pyarrow                   14.0.1
pyarrow-hotfix            0.6
pycparser                 2.21
pycryptodome              3.19.0
pydantic                  2.5.2
pydantic_core             2.14.5
pydub                     0.25.1
Pygments                  2.17.2
pyparsing                 3.1.1
python-dateutil           2.8.2
python-multipart          0.0.6
pytz                      2023.3.post1
PyYAML                    6.0.1
referencing               0.32.0
regex                     2023.10.3
requests                  2.31.0
rich                      13.7.0
rouge-chinese             1.0.3
rpds-py                   0.13.2
safetensors               0.4.1
scipy                     1.11.4
semantic-version          2.10.0
sentencepiece             0.1.99
setuptools                68.2.2
shtab                     1.6.5
simplejson                3.19.2
six                       1.16.0
sniffio                   1.3.0
sortedcontainers          2.4.0
sse-starlette             1.8.2
starlette                 0.27.0
sympy                     1.12
tiktoken                  0.5.2
tokenizers                0.15.0
tomli                     2.0.1
toolz                     0.12.0
torch                     2.1.2
tqdm                      4.66.1
transformers              4.36.1
triton                    2.1.0
trl                       0.7.4
typing_extensions         4.9.0
tyro                      0.6.0
tzdata                    2023.3
urllib3                   2.1.0
uvicorn                   0.24.0.post1
websockets                11.0.3
wheel                     0.41.2
xxhash                    3.4.1
yapf                      0.40.2
yarl                      1.9.4
zipp                      3.17.0



I ran into the same problem when I used a server cluster (Slurm system managed) that couldn't load any of the huggingface datasets or models, but it worked on my laptop. I suspected some system configuration-related problem, but I had no idea. 
My problems are consistent with [issue #2618](https://github.com/huggingface/datasets/issues/2618). All the huggingface-related libraries I use are the latest versions.



> I ran into the same problem when I used a server cluster (Slurm system managed) that couldn't load any of the huggingface datasets or models, but it worked on my laptop. I suspected some system configuration-related problem, but I had no idea. My problems are consistent with [issue #2618](https://github.com/huggingface/datasets/issues/2618). All the huggingface-related libraries I use are the latest versions.

have you solved this issue yet? i met the same problem on server but everything works on laptop. I think maybe the filelock repo is contradictory with file system.

I am having the same issue on a computing cluster but this works on my laptop as well.  I instead have this error:
`/home/.conda/envs/py10/lib/python3.10/site-packages/filelock/_unix.py", line 43, in _acquire
    fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
OSError: [Errno 5] Input/output error`

the load_dataset command does not work on server for local or hosted hugging-face datasets, and I have tried for several files

Same here. Is there any solution?

In my case, `.cahce` was in a shared folder. Moving it into the user's home folder fixed the problem. #2618 for more details