Connection error of the HuggingFace's dataset Hub due to SSLError with proxy

### Describe the bug

It's weird. I could not normally  connect  the dataset Hub  of  HuggingFace due to a SSLError in my office. 
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy), 
I'm getting the  SSLError issue. What should I do to download the datanet stored in HuggingFace normally?
I welcome any comments. I think those comments will be helpful to me.

* Dataset address - https://huggingface.co/datasets/moyix/debian_csrc/viewer/moyix--debian_csrc
* Log message
```
      ............ OMISSION ..............
Traceback (most recent call last):
  File "/data/home/geunsik-lim/qtlab/./transformers/examples/pytorch/language-modeling/run_clm.py", line 587, in <module>
    main()
  File "/data/home/geunsik-lim/qtlab/./transformers/examples/pytorch/language-modeling/run_clm.py", line 278, in main
    raw_datasets = load_dataset(
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1719, in load_dataset
    builder_instance = load_dataset_builder(
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1497, in load_dataset_builder
    dataset_module = dataset_module_factory(
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1222, in dataset_module_factory
    raise e1 from None
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1179, in dataset_module_factory
    raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({type(e).__name__})")
ConnectionError: Couldn't reach 'moyix/debian_csrc' on the Hub (SSLError)
[2022-11-07 15:23:38,476] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 6760
[2022-11-07 15:23:38,476] [ERROR] [launch.py:324:sigkill_handler] ['/home/geunsik-lim/anaconda3/envs/deepspeed/bin/python', '-u', './transformers/examples/pytorch/language-modeling/run_clm.py', '--local_rank=0', '--model_name_or_path=Salesforce/codegen-350M-multi', '--per_device_train_batch_size=1', '--learning_rate', '2e-5', '--num_train_epochs', '1', '--output_dir=./codegen-350M-finetuned', '--overwrite_output_dir', '--dataset_name', 'moyix/debian_csrc', '--cache_dir', '/data/home/geunsik-lim/.cache', '--tokenizer_name', 'Salesforce/codegen-350M-multi', '--block_size', '2048', '--gradient_accumulation_steps', '32', '--do_train', '--fp16', '--deepspeed', 'ds_config_zero2.json'] exits with return code = 1

real    0m7.742s
user    0m4.930s

```

### Steps to reproduce the bug

Steps to reproduce this behavior. 



```
(deepspeed) geunsik-lim@ai02:~/qtlab$ ./test_debian_csrc_dataset.py
Traceback (most recent call last):
  File "/data/home/geunsik-lim/qtlab/./test_debian_csrc_dataset.py", line 6, in <module>
    dataset = load_dataset("moyix/debian_csrc")
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1719, in load_dataset
    builder_instance = load_dataset_builder(
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1497, in load_dataset_builder
    dataset_module = dataset_module_factory(
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1222, in dataset_module_factory
    raise e1 from None
  File "/home/geunsik-lim/anaconda3/envs/deepspeed/lib/python3.10/site-packages/datasets/load.py", line 1179, in dataset_module_factory
    raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({type(e).__name__})")
ConnectionError: Couldn't reach 'moyix/debian_csrc' on the Hub (SSLError)
(deepspeed) geunsik-lim@ai02:~/qtlab$
(deepspeed) geunsik-lim@ai02:~/qtlab$
(deepspeed) geunsik-lim@ai02:~/qtlab$
(deepspeed) geunsik-lim@ai02:~/qtlab$ cat ./test_debian_csrc_dataset.py
#!/usr/bin/env python
from datasets import load_dataset
dataset = load_dataset("moyix/debian_csrc")

```

1.  Adde proxy address of a company in /etc/profile
2.  Download dataset with load_dataset() function of  datasets package that is provided by HuggingFace.
3.  In this case, the address would be "moyix--debian_csrc".
4.  I get the "`ConnectionError: Couldn't reach 'moyix/debian_csrc' on the Hub (SSLError`)" error message.

### Expected behavior


* error message:
ConnectionError: Couldn't reach 'moyix/debian_csrc' on the Hub (SSLError)

### Environment info


* software version information:

```
(deepspeed) geunsik-lim@ai02:~$
(deepspeed) geunsik-lim@ai02:~$ conda list -f pytorch
# packages in environment at /home/geunsik-lim/anaconda3/envs/deepspeed:
#
# Name                    Version                   Build  Channel
pytorch                   1.13.0          py3.10_cuda11.7_cudnn8.5.0_0    pytorch
(deepspeed) geunsik-lim@ai02:~$ conda list -f python
# packages in environment at /home/geunsik-lim/anaconda3/envs/deepspeed:
#
# Name                    Version                   Build  Channel
python                    3.10.6               haa1d7c7_1
(deepspeed) geunsik-lim@ai02:~$ conda list -f datasets
# packages in environment at /home/geunsik-lim/anaconda3/envs/deepspeed:
#
# Name                    Version                   Build  Channel
datasets                  2.6.1                      py_0    huggingface
(deepspeed) geunsik-lim@ai02:~$ uname -a
Linux ai02 5.4.0-131-generic #147-Ubuntu SMP Fri Oct 14 17:07:22 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
(deepspeed) geunsik-lim@ai02:~$ cat /etc/lsb-release
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.5 LTS"

```

Hi ! It looks like an issue with your python environment, can you make sure you're able to run GET requests to https://huggingface.co using `requests` in python ?

Thanks for your reply. Does this mean that I have to use the `do_dataset `function and the `requests `function to download the dataset from the company's proxy environment?


* Reference: 
```bash
### How to load this dataset directly with the [datasets](https://github.com/huggingface/datasets) library


* https://huggingface.co/datasets/moyix/debian_csrc

* from datasets import load_dataset
dataset = load_dataset("moyix/debian_csrc")



### Or just clone the dataset repo


git lfs install
git clone https://huggingface.co/datasets/moyix/debian_csrc
# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var:
GIT_LFS_SKIP_SMUDGE=1
```

You can use `requests` to see if downloading a file from the Hugging Face Hub works. If so, then `datasets` should work as well. If not, then you have to find another way using an internet connection that works

I resolved this issue by applying to "unblock websites" at https://huggingface.com in a corporate network environment with a firewall. 


> Hi ! It looks like an issue with your python environment, can you make sure you're able to run GET requests to https://huggingface.co using `requests` in python ?

yes，but still not work

![image](https://github.com/huggingface/datasets/assets/40717349/a502e051-beff-4a5e-aef6-90b525add877)
![image](https://github.com/huggingface/datasets/assets/40717349/88b131fd-ee26-4a8e-9e72-6ecdc126404f)


I read https://github.com/huggingface/datasets/blob/main/src/datasets/load.py, it fail when get the dataset metadata, so download_config has not worked.
```python
            hf_api = HfApi(config.HF_ENDPOINT)
            try:
                dataset_info = hf_api.dataset_info(
                    repo_id=path,
                    revision=revision,
                    token=download_config.token,
                    timeout=100.0,
                )
            except Exception as e:  # noqa catch any exception of hf_hub and consider that the dataset doesn't exist
                if isinstance(
                    e,
                    (
                        OfflineModeIsEnabled,
                        requests.exceptions.ConnectTimeout,
                        requests.exceptions.ConnectionError,
                    ),
                ):
                    raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({type(e).__name__})")
```
I configure the huggingface_hub api, use configure_http_backend
```python
from huggingface_hub import configure_http_backend
def backend_factory() -> requests.Session:
    session = requests.Session()
    session.proxies = proxy
    session.verify = False
    return session

configure_http_backend(backend_factory=backend_factory)
```
It works.

Even tough it does not look like a certificate error in the error message, I had the same error and adding following lines to my code solved my problem.

import os
os.environ['CURL_CA_BUNDLE'] = ''