Update README.md

README.md

@@ -1097,27 +1097,34 @@ Example (inside a `.tar` shard):
 You can load the WebDataset directly with Hugging Face’s `datasets` library:
 
 ```python
-import datasets
-from IPython.display import Audio
-from huggingface_hub import hf_hub_download
-import yaml
+from datasets import load_dataset
+from huggingface_hub import list_repo_files
+
+repo_id = "sarulab-speech/yodas2_sidon"
+subset="en000"
+all_files = list_repo_files(repo_id, repo_type="dataset")
 
-# Adjust the repo_id to your actual repository name
-base_url = "[https://huggingface.co/datasets/sarulab-speech/yodas2_sidon/resolve/main/](https://huggingface.co/datasets/sarulab-speech/yodas2_sidon/resolve/main/)"
-language = 'en000'
-split = 'test'
-data_file_path = hf_hub_download(repo_id="sarulab-speech/yodas2_sidon", repo_type="dataset", filename="paths.yaml")
-paths = yaml.load(open(data_file_path, "r"), Loader=yaml.FullLoader)
+urls = [
+    f"https://huggingface.co/datasets/{repo_id}/resolve/main/{f}"
+    for f in sorted(all_files)
+    if f.endswith(".tar.gz") and f.startswith(subset)
+]
 
-ds = datasets.load_dataset("webdataset", data_files=[base_url + p for p in paths['english'][split]],streaming=True)['train']
+print(f"Found {len(urls)} shards.")
 
-sample = next(iter(ds))
+dataset = load_dataset(
+    "webdataset", 
+    data_files={"train": urls}, 
+    streaming=True
+)['train']
+from IPython.display import Audio
+sample = next(iter(dataset))
 audio = sample['flac']
 print(sample['metadata.json'])
 Audio(audio['array'], rate=audio['sampling_rate'])
 ````
 
-Replace `language` with the desired language config (e.g., `english`, `german`).
+Replace `subset` with the desired subset.
 
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