Update README.md

README.md

@@ -55,7 +55,7 @@ You can load this dataset directly in Python using the Hugging Face `datasets` l
 from datasets import load_dataset
 
 # Download and Load the dataset
-dataset = load_dataset("aangelakis/STOMA", data_files="data/*.parquet", split="full")
+dataset = load_dataset("aangelakis/STOMA", split="train")
 
 # Inspect the first example
 sample = dataset[0]
@@ -63,6 +63,10 @@ sample = dataset[0]
 # Print the Greek text
 print("Text:", sample["text"])
 
+# Print metadata
+print("Speaker:", sample["speaker_id"])
+print("Corpus Section:", sample["section"])
+
 # The 'audio' column is automatically decoded into a dictionary with 'array' and 'sampling_rate'
 audio_data = sample["audio"]["array"]
 sampling_rate = sample["audio"]["sampling_rate"]