updated readme

README.md

@@ -264,6 +264,36 @@ We provide the un-annotated additional data stats below:
 | English-New York  	     | 6,454   	     |
 | **Total**             	 | **55,702**  	 |
 
+### How to download data
+
+```
+import os
+import json
+from datasets import load_dataset
+
+
+dataset_names = ['arabic_qa', 'assamese_in', 'bangla_bd', 'bangla_in', 'english_bd',
+                'english_qa', 'hindi_in', 'nepali_np', 'turkish_tr']
+base_dir="./MNQA/"
+
+for dname in dataset_names:    
+    output_dir = os.path.join(base_dir, dname)
+    # load each language
+    dataset = load_dataset("QCRI/MultiNativQA", name=dname)
+    # Save the dataset to the specified directory. This will save all splits to the output directory.
+    dataset.save_to_disk(output_dir)
+    # iterate over splits to save the data into json format
+    for split in ['train','dev','test']:
+        data = []
+        if split not in dataset:
+            continue
+        for idx, item in enumerate(dataset[split]):
+            data.append(item)
+        output_file = os.path.join(output_dir, f"{split}.json")
+        with open(output_file, 'w', encoding='utf-8') as f:
+            json.dump(data, f, ensure_ascii=False, indent=4)
+```
+
 ### License
 The dataset is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). The full license text can be found in the accompanying licenses_by-nc-sa_4.0_legalcode.txt file.