Add usage snippet for concatenating all configs

README.md

@@ -84,7 +84,9 @@ Each dataset config exposes a single split named `train`.
 - `test_clean_large` (`train`): 107.5 hours of speech. 72 speakers averaging 1.49 hours per speaker.
 - `test_other_large` (`train`): 100.3 hours of speech. 73 speakers averaging 1.37 hours per speaker.
 
-## Loading a Single Config
+## Usage
+
+### Load a Single Config
 
 ```python
 from datasets import load_dataset
@@ -94,6 +96,32 @@ small = load_dataset("mythicinfinity/libriheavy", "small", split="train")
 
 Targeting a specific config only downloads files declared for that config, which is a good way to control disk usage.
 
+### Load the Full Dataset (All Configs)
+
+```python
+from datasets import concatenate_datasets, load_dataset
+
+ALL_CONFIGS = [
+    "small",
+    "medium",
+    "large",
+    "dev",
+    "test_clean",
+    "test_clean_large",
+    "test_other",
+    "test_other_large",
+]
+
+
+def load_libriheavy_all_train(configs: list[str] | None = None):
+    cfgs = configs or ALL_CONFIGS
+    parts = [load_dataset("mythicinfinity/libriheavy", cfg, split="train") for cfg in cfgs]
+    return concatenate_datasets(parts)
+
+
+full = load_libriheavy_all_train()
+```
+
 ## Citation
 
 ```bibtex