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README.md

@@ -120,6 +120,59 @@ The dataset includes the following splits based on the test type and language.
 | **Tamil__MUSHRA_NMR**       | 48500 |
 
 
+### Getting Started
+
+```
+import os
+from datasets import load_dataset, Audio
+from huggingface_hub import snapshot_download
+
+
+def get_audio_paths(example):
+    for column in example.keys():
+        if "Audio" in column and isinstance(example[column], str):
+            example[column] = os.path.join(download_dir, example[column])
+    return example
+
+
+# Download
+repo_id = "svp19/MANGO"
+download_dir = snapshot_download(repo_id=repo_id, repo_type="dataset")
+dataset = load_dataset(download_dir, split='Hindi__MUSHRA')
+dataset = dataset.map(get_audio_paths)
+
+# Cast audio columns
+for column in dataset.column_names:
+    if 'Audio' in column:
+        dataset = dataset.cast_column(column, Audio())
+
+# Explore
+print(dataset)
+'''
+Dataset({
+    features: ['Rater_ID', 'FS2_Score', 'VITS_Score', 'ST2_Score', 'ANC_Score', 'REF_Score', 'FS2_Audio', 'VITS_Audio', 'ST2_Audio', 'ANC_Audio', 'REF_Audio'],
+    num_rows: 11300
+})
+'''
+
+# # Print first instance
+print(dataset[0])
+'''
+{'Rater_ID': 389, 'FS2_Score': 16, 'VITS_Score': 76, 'ST2_Score': 28,
+ 'ANC_Score': 40, 'REF_Score': 100, 'FS2_Audio': {'path': ...
+'''
+
+# # Available Splits
+dataset = load_dataset(download_dir, split=None)
+print("Splits:", dataset.keys())
+'''
+Splits: dict_keys(['Tamil__MUSHRA_DG_NMR', 'Hindi__MUSHRA_DG', 
+    'Hindi__MUSHRA_NMR', 'Hindi__MUSHRA_DG_NMR', 'Tamil__MUSHRA_NMR', 
+    'Tamil__MUSHRA_DG', 'Tamil__MUSHRA', 'Hindi__MUSHRA'])
+'''
+
+```
+
 
 ### Why Use MANGO?
 - Addresses limitations of traditional **MOS** and **CMOS** tests.