Bug when downloading cloudops datasets

[liu-jc]

Describe the bug
With the current datasets version, it cannot download cloudops datasets.
To Reproduce

from datasets import load_dataset
dataset = load_dataset('Salesforce/cloudops_tsf', 'azure_vm_traces_2017')

Expected behavior
It should successfully download the datasets.

Error message or code output
Paste the complete error message, including stack trace, or the undesired output that the above snippet produces.

Traceback (most recent call last):
  File "/export/home/uni2ts/venv-new-hf/lib/python3.11/site-packages/datasets/builder.py", line 1973, in _prepare_split_single
    for _, table in generator:
  File "/root/.cache/huggingface/modules/datasets_modules/datasets/Salesforce--cloudops_tsf/c256e0ff4b38ace660f9c190f7ea36b6f11580926404e453a4b059ab54ae6b24/cloudops_tsf.py", line 251, in _generate_tables
    table = pq.read_table(filepath)
            ^^^^^^^^^^^^^^^^^^^^^^^
  File "/export/home/uni2ts/venv-new-hf/lib/python3.11/site-packages/datasets/streaming.py", line 75, in wrapper
    return function(*args, download_config=download_config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/export/home/uni2ts/venv-new-hf/lib/python3.11/site-packages/datasets/download/streaming_download_manager.py", line 812, in xpyarrow_parquet_read_table
    return pq.read_table(xopen(filepath_or_buffer, mode="rb", download_config=download_config), **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/export/home/uni2ts/venv-new-hf/lib/python3.11/site-packages/datasets/download/streaming_download_manager.py", line 507, in xopen
    return open(main_hop, mode, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
IsADirectoryError: [Errno 21] Is a directory: '/root/.cache/huggingface/datasets/downloads/extracted/44a68b01b5facec6049e9d866260fdea631f258f755b50cff7b40c2f31f65ec1'

Current workaround
Change the versions of a few dependencies.

datasets==2.12.0
fsspec==2023.5.0

Proposed solution
It probably would be better if we directly change the dataset format in huggingface, then keep the same requirements for our current dependencies.

cc: @chenghaoliu89 @gorold