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"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 1\n\nADI PARVA\n\nTranslated into(...TRUNCATED) | maha01.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 2\n\nSABHA PARVA\n\nTranslated in(...TRUNCATED) | maha02.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 3\n\nVANA PARVA\n\nTranslated int(...TRUNCATED) | maha03.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 4\n\nVIRATA PARVA\n\nTranslated i(...TRUNCATED) | maha04.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 5\n\nUDYOGA PARVA\n\nTranslated i(...TRUNCATED) | maha05.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 6\n\nBHISHMA PARVA\n\nTranslated (...TRUNCATED) | maha06.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 7\n\nDRONA PARVA\n\nTranslated in(...TRUNCATED) | maha07.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 8\n\nKarna-parva\n\n\n\nTranslate(...TRUNCATED) | maha08.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 9\n\nShalya-parva\n\n\n\nTranslat(...TRUNCATED) | maha09.txt |
"\n\n\n\nThe Mahabharata\n\nof\n\nKrishna-Dwaipayana Vyasa\n\nBOOK 10\n\nSauptika-parva\n\n\n\nTrans(...TRUNCATED) | maha10.txt |
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from datasets import load_dataset
dataset = load_dataset("LeroyDyer/Mahabharata", split = "train[:5000]")
EOS_TOKEN = tokenizer.eos_token
def formatting_func(example):
max_seq_length = 4098 # Maximum sequence length
text = example["Text"] + EOS_TOKEN
chunks = [text[i:i+max_seq_length] for i in range(0, len(text), max_seq_length)]
formatted_examples = [{"Text": chunk} for chunk in chunks]
return formatted_examples
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