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README.md

@@ -246,6 +246,11 @@ configs:
   - split: train
     path:
       - pre_tokenized/nepberta.parquet
+- config_name: iriisnepal_u_nepberta_512
+  data_files:
+  - split: train
+    path:
+      - "iriisnepal_u_nepberta_512.csv"
 ---
 # Nepali LLM Datasets
 
@@ -284,11 +289,14 @@ len(nepberta_train['text'][0])  # length of large text equivalent to 500 MB text
 nepberta_train = load_dataset("Aananda-giri/nepali_llm_datasets", name="nepberta", streaming=True)['train']
 
 # using next
-next(iter(nepberta_train))
+next_text_chunk = next(iter(nepberta_train))
+print(len(next_text_chunk['text']))
 
 # using for loop
 for large_chunk in nepberta_train:
-  pass
+  print(len(large_chunk['text']))
+  break
+
   # code to process large_chunk['text']
 
 # Load scrapy engine data