Create README.md
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README.md
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TinyStories Training data, tokenized with GPT-2 tokenizer.
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Truncated at 512 tokens, no BOS token, padded with token id 50256 = GPT2-BOS token
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Trunated dataset generated as follows
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```python
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import torch
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my_tokens = torch.load("train_tokens.pt")
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l = my_tokens['attention_mask'].sum(dim=-1)
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mask = ((170 <= l) & (l <= 180))
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train_215k = {}
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train_215k['input_ids'] = my_tokens['input_ids'][mask]
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train_215k['attention_mask'] = my_tokens['attention_mask'][mask]
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torch.save(train_215k, "train_tokens_215k.pt")
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check = torch.load("train_tokens_215k_2.pt")
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gap = (check['input_ids'] == 50256).sum(dim=-1)
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gap2 = (check['attention_mask'] == 0).sum(dim=-1)
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assert torch.all(gap == gap2)
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```
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