Repository: open-compass/opencompass
Issue: 我的线上外网不能访问，这部分一直超市[Bug] 
Root cause: Documentation Deficiency

### Prerequisite

- [X] I have searched [Issues](https://github.com/InternLM/opencompass/issues/) and [Discussions](https://github.com/InternLM/opencompass/discussions) but cannot get the expected help.
- [X] The bug has not been fixed in the [latest version](https://github.com/InternLM/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

同官方

### Reproduces the problem - code/configuration sample

模型：qwen7b-chat
数据：ceval

### Reproduces the problem - command or script

['/opt/conda/envs/python3.8.13/bin/python', './run.py', 'configs/eval_qwen7b.py', '--work-dir', '/data/oss_bucket_0/llm/user/luxi/opencompass/eval', '--mode', 'all', '--max-num-workers', '1']


### Reproduces the problem - error message

Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]
Downloading data files: 100%|██████████| 1/1 [00:00<00:00, 17697.49it/s]
Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]
Extracting data files: 100%|██████████| 1/1 [00:00<00:00, 2489.20it/s]
Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 443 examples [00:00, 97742.07 examples/s]
Downloading builder script:   0%|          | 0.00/5.42k [00:00<?, ?B/s]
Downloading builder script: 100%|██████████| 5.42k/5.42k [00:00<00:00, 8.37MB/s]
Traceback (most recent call last):
  File "./run.py", line 378, in <module>
main()
  File "./run.py", line 227, in main
tasks = partitioner(cfg)
  File "/checkpoint/binary/train_package/opencompass/opencompass/partitioners/base.py", line 48, in __call__
tasks = self.partition(models, datasets, work_dir, self.out_dir)
  File "/checkpoint/binary/train_package/opencompass/opencompass/partitioners/size.py", line 67, in partition
datasets = sorted(datasets,
  File "/checkpoint/binary/train_package/opencompass/opencompass/partitioners/size.py", line 68, in <lambda>
key=lambda x: self.get_cost(x),
  File "/checkpoint/binary/train_package/opencompass/opencompass/partitioners/size.py", line 188, in get_cost
dataset = build_dataset_from_cfg(dataset)
  File "/checkpoint/binary/train_package/opencompass/opencompass/utils/build.py", line 13, in build_dataset_from_cfg
return LOAD_DATASET.build(dataset_cfg)
  File "/root/.local/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
  File "/root/.local/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args)  # type: ignore
  File "/checkpoint/binary/train_package/opencompass/opencompass/datasets/base.py", line 12, in __init__
self.dataset = self.load(**kwargs)
  File "/checkpoint/binary/train_package/opencompass/opencompass/datasets/winograd.py", line 13, in load
dataset = load_dataset(**kwargs)
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 2112, in load_dataset
builder_instance = load_dataset_builder(
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 1798, in load_dataset_builder
dataset_module = dataset_module_factory(
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 1495, in dataset_module_factory
raise e1 from None
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 1464, in dataset_module_factory
return HubDatasetModuleFactoryWithScript(
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 1183, in get_module
dataset_readme_path = self.download_dataset_readme_file()
  File "/root/.local/lib/python3.8/site-packages/datasets/load.py", line 1172, in download_dataset_readme_file
return cached_path(
  File "/root/.local/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 182, in cached_path
output_path = get_from_cache(
  File "/root/.local/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 644, in get_from_cache
http_get(
  File "/root/.local/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 397, in http_get
response = _request_with_retry(
  File "/root/.local/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 332, in _request_with_retry
raise err
  File "/root/.local/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 328, in _request_with_retry
response = requests.request(method=method.upper(), url=url, timeout=timeout, **params)
  File "/opt/conda/envs/python3.8.13/lib/python3.8/site-packages/requests/api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
  File "/opt/conda/envs/python3.8.13/lib/python3.8/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
  File "/opt/conda/envs/python3.8.13/lib/python3.8/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
  File "/opt/conda/envs/python3.8.13/lib/python3.8/site-packages/requests/adapters.py", line 501, in send
raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))


2023-08-21 22:44:14,407 - MDL: INFO - HeartbeatClient: stopped.

### Other information

我在线下可以访问外网的机器是可以运行的，但是在线上不能访问外网，就出现问题。
不太明白他在下载什么， 我把数据都导入到工作目录下了。

HuggingFace requires the Internet whenever it is launched. To switch to offline mode, try setting environment variables `HF_DATASETS_OFFLINE=1 TRANSFORMERS_OFFLINE=1`: https://huggingface.co/docs/transformers/installation#fetch-models-and-tokenizers-to-use-offline

ok