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README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-nc-4.0
+license: cc-by-4.0
 task_categories:
 - automatic-speech-recognition
 language:
@@ -52,7 +52,7 @@ The final corpus has been extracted March 5, 2024.
 - **Funded by:** This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337 y 2022/TL22/00215334 
 - **Shared by:** [More Information Needed]
 - **Language(s) (NLP):** ca (valencian)
-- **License:** [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/deed.it)
+- **License:** [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/deed.es)
 
 
 ### Dataset Sources
@@ -141,11 +141,18 @@ The dataset consists of a train, dev and test splits, for both short and long se
 
 ### Example Usage
 
-To load a specific split, for example, the training split (short) do:
+To load the dataset:
 
 ```python
-  from datasets import load_dataset
-  data = load_dataset("projecte-aina/corts_valencianes_asr_a",split="clean_train_short")
+from datasets import load_dataset
+data = load_dataset("projecte-aina/corts_valencianes_asr_a",trust_remote_code=True)
+```
+
+To load the dataset with streaming enabled (recommended for large audio files):
+
+```python
+from datasets import load_dataset
+data = load_dataset("projecte-aina/corts_valencianes_asr_a",trust_remote_code=True, streaming=True)
 ```
 
 ## Dataset Creation