Is there any difference when we long in to huging-ace and load datasets from windows and mac OS?

when I execute this code on windows, i could access datasets. But when I execute this code on my local mac OS, I got the error which I append after this code. Could you tell me how to access this datasets from my local mac OS? I sed same python ver and datasets ver however they didn’t work well.

import os
import librosa
import numpy as np
import itertools
import soundfile as sf
from datasets import load_dataset, Audio

from huggingface_hub import login


Load the streaming audio dataset

google = load_dataset(“google/fleurs”, “cmn_hans_cn”, split=“train”, streaming=True, use_auth_token=True)
google = google.cast_column(“audio”, Audio(sampling_rate=16000))

Define a function to add noise to audio samples based on the signal

def add_noise_to_signal(audio, noise_factor=0.1):
max_amplitude = np.max(np.abs(audio))
noise = np.random.randn(len(audio))
scaled_noise = noise_factor * max_amplitude * noise
augmented_audio = audio + scaled_noise
return augmented_audio

Create a new folder to save noisy audio samples

output_folder = r"my-folder"
os.makedirs(output_folder, exist_ok=True)

Iterate through the streaming dataset, add noise to each audio sample, and save

def download_and_save_noisy_audio(dataset, save_folder):
for item in itertools.islice(dataset, 5000):
audio_data = item[“audio”][“array”]
audio_sampling_rate = item[“audio”][“sampling_rate”]
audio_path = item[“audio”][“path”]
audio_filename = os.path.basename(audio_path)
save_path = os.path.join(save_folder, audio_filename)

    if not os.path.exists(save_path):
        noisy_audio = add_noise_to_signal(audio_data)  # Add noise to the audio based on the signal
        sf.write(save_path, noisy_audio, audio_sampling_rate, format="wav")

print("Download, noise addition, and save complete")

download_and_save_noisy_audio(google, output_folder)

when I execute this code on windows, i could access datasets. But when I execute this code on my local mac OS, I got the below error.

-----On my local mac OS error----

FileNotFoundError Traceback (most recent call last)
Cell In[6], line 40
35 sf.write(save_path, noisy_audio, audio_sampling_rate, format=“wav”)
38 print(“Download, noise addition, and save complete”)
—> 40 download_and_save_noisy_audio(google, output_folder)

Cell In[6], line 26, in download_and_save_noisy_audio(dataset, save_folder)
25 def download_and_save_noisy_audio(dataset, save_folder):
—> 26 for item in itertools.islice(dataset, 5000):
27 audio_data = item[“audio”][“array”]
28 audio_sampling_rate = item[“audio”][“sampling_rate”]

File ~/Voice_Ping/.venv/lib/python3.11/site-packages/datasets/, in IterableDataset.iter(self)
1350 yield formatter.format_row(pa_table)
1351 return
→ 1353 for key, example in ex_iterable:
1354 if self.features:
1355 # IterableDataset automatically fills missing columns with None.
1356 # This is done with _apply_feature_types_on_example.
1357 example = _apply_feature_types_on_example(
1358 example, self.features, token_per_repo_id=self._token_per_repo_id
1359 )

File ~/Voice_Ping/.venv/lib/python3.11/site-packages/datasets/, in ExamplesIterable.iter(self)
206 def iter(self):
→ 207 yield from self.generate_examples_fn(**self.kwargs)

File ~/.cache/huggingface/modules/datasets_modules/datasets/google–fleurs/af82dbec419a815084fa63ebd5d5a9f24a6e9acdf9887b9e3b8c6bbd64e0b7ac/, in Fleurs._generate_examples(self, local_extracted_archives, archive_iters, text_paths)
210 langs = []
212 for archive, text_path, local_extracted_path, lang_id in zip(archive_iters, text_paths, local_extracted_archives, langs):
→ 213 with open(text_path, encoding=“utf-8”) as f:
214 lines = f.readlines()
215 data = self._get_data(lines, lang_id)
File ~/Voice_Ping/.venv/lib/python3.11/site-packages/datasets/, in extend_module_for_streaming…wrap_auth…wrapper(*args, **kwargs)
72 @wraps(function)
73 def wrapper(*args, **kwargs):
—> 74 return function(*args, download_config=download_config, **kwargs)

File ~/Voice_Ping/.venv/lib/python3.11/site-packages/datasets/download/, in xopen(file, mode, download_config, *args, **kwargs)
505 except FileNotFoundError:
506 if file.startswith(config.HF_ENDPOINT):
→ 507 raise FileNotFoundError(
508 file + “\nIf the repo is private or gated, make sure to log in with huggingface-cli login.”
509 ) from None
510 else:
511 raise

If the repo is private or gated, make sure to log in with huggingface-cli login.

You should get the same result regardless of the system. Maybe your network setup differs on the MacOS machine (proxies, etc.). Also, ensure the same version of datasets is installed on both systems.