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@@ -69,7 +69,7 @@ len(nepberta_train['text']) # 18 : number of chunks
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  len(nepberta_train['text'][0]) # length of large text equivalent to 500 MB text
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  # use streaming=True to avoid downloading entire dataset
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- nepberta_train = load_dataset("Aananda-giri/nepali_llm_datasets", name="nepberta", streaming=True)['train']
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  # using next
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  next(iter(nepberta_train))
 
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  len(nepberta_train['text'][0]) # length of large text equivalent to 500 MB text
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  # use streaming=True to avoid downloading entire dataset
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+ nepberta_train = load_dataset("Aananda-giri/nepali_llm_datasets", name="nepberta", split="train", streaming=True)
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  # using next
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  next(iter(nepberta_train))