cannot split dataset when using load_dataset
it seems the bug will happened in all windows system, I tried it in windows8.1, 10, 11 and all of them failed. But it won't happened in the Linux(Ubuntu and Centos7) and Mac (both my virtual and  physical machine). I still don't know what the problem is. May be related to the path? I cannot run the split file in my windows server which created in Linux (even I replace the path in the arrow document)....work for it for a week but still cannot fix it .....upset Have you properly logged in? Are you using the a valid token?

Note that this dataset is gated and you must follow the right procedure to be able to access it. You can find more info in the docs: https://huggingface.co/docs/hub/datasets-gated#access-gated-datasets-as-a-user > Have you properly logged in? Are you using the a valid token?
> 
> Note that this dataset is gated and you must follow the right procedure to be able to access it. You can find more info in the docs: https://huggingface.co/docs/hub/datasets-gated#access-gated-datasets-as-a-user

I finally found it what happened. It is not about the logging. When I copy the dataset from its original path (C:/Users/cybes/.cache/huggingface/datasets/downloads/extracted/XXX/cv-corpus-7.0-2021-07-21) to the desktop and load each tsv in it one by one , when I load the test spilt, the following warning occurs:
"ArrowInvalid: Failed to parse string: 'Benchmark' as a scalar of type double"

Then I manually deleted them in the "segment", the error won't happen anymore, even I replace the original path with these revised tsv and use the previous loading method (common_voice_train = load_dataset("mozilla-foundation/common_voice_7_0", "ja", split="train", trust_remote_code=True)). It can work properly.
### Describe the bug

when I use load_dataset methods to load mozilla-foundation/common_voice_7_0, it can successfully download and extracted the dataset but It cannot generating the arrow document,
This bug happened in my server, my laptop, so as #6906 , but it won't happen in the google colab. I work for it for days, even I load the datasets from local path, it can Generating train split and validation split but bug happen again in test split.



### Steps to reproduce the bug

from datasets import load_dataset, load_metric, Audio

common_voice_train = load_dataset("mozilla-foundation/common_voice_7_0", "ja", split="train", token=selftoken, trust_remote_code=True)



### Expected behavior

```
{
	"name": "ValueError",
	"message": "Instruction \"train\" corresponds to no data!",
	"stack": "---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[2], line 3
      1 from datasets import load_dataset, load_metric, Audio
----> 3 common_voice_train = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"ja\", split=\"train\",token='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')#,trust_remote_code=True)#,streaming=True)
      4 common_voice_test = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"ja\", split=\"test\",token='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')#,trust_remote_code=True)#,streaming=True)

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\load.py:2626, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2622 # Build dataset for splits
   2623 keep_in_memory = (
   2624     keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
   2625 )
-> 2626 ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
   2627 # Rename and cast features to match task schema
   2628 if task is not None:
   2629     # To avoid issuing the same warning twice

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1266, in DatasetBuilder.as_dataset(self, split, run_post_process, verification_mode, ignore_verifications, in_memory)
   1263 verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS)
   1265 # Create a dataset for each of the given splits
-> 1266 datasets = map_nested(
   1267     partial(
   1268         self._build_single_dataset,
   1269         run_post_process=run_post_process,
   1270         verification_mode=verification_mode,
   1271         in_memory=in_memory,
   1272     ),
   1273     split,
   1274     map_tuple=True,
   1275     disable_tqdm=True,
   1276 )
   1277 if isinstance(datasets, dict):
   1278     datasets = DatasetDict(datasets)

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\utils\\py_utils.py:484, in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, batched, batch_size, types, disable_tqdm, desc)
    482 if batched:
    483     data_struct = [data_struct]
--> 484 mapped = function(data_struct)
    485 if batched:
    486     mapped = mapped[0]

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1296, in DatasetBuilder._build_single_dataset(self, split, run_post_process, verification_mode, in_memory)
   1293     split = Split(split)
   1295 # Build base dataset
-> 1296 ds = self._as_dataset(
   1297     split=split,
   1298     in_memory=in_memory,
   1299 )
   1300 if run_post_process:
   1301     for resource_file_name in self._post_processing_resources(split).values():

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1370, in DatasetBuilder._as_dataset(self, split, in_memory)
   1368 if self._check_legacy_cache():
   1369     dataset_name = self.name
-> 1370 dataset_kwargs = ArrowReader(cache_dir, self.info).read(
   1371     name=dataset_name,
   1372     instructions=split,
   1373     split_infos=self.info.splits.values(),
   1374     in_memory=in_memory,
   1375 )
   1376 fingerprint = self._get_dataset_fingerprint(split)
   1377 return Dataset(fingerprint=fingerprint, **dataset_kwargs)

File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\arrow_reader.py:256, in BaseReader.read(self, name, instructions, split_infos, in_memory)
    254     msg = f'Instruction \"{instructions}\" corresponds to no data!'
    255     #msg = f'Instruction \"{self._path}\",\"{name}\",\"{instructions}\",\"{split_infos}\" corresponds to no data!'
--> 256     raise ValueError(msg)
    257 return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)

ValueError: Instruction \"train\" corresponds to no data!"
}
```

### Environment info

Environment:
python 3.9
windows 11 pro
VScode+jupyter