Datasets:
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README.md
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5. Concatenating short- and long-context components into the final dataset
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### Tokenizer
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- Tokenizer name/path: `meta-llama/Meta-Llama-3-8B`
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- Each text is encoded with explicit BOS/EOS:
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- `BOS + text + EOS`
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- Length statistics and buckets are **tokenizer-dependent**
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## Intended Use
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This dataset is intended for:
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- **Post-training context window extension** (e.g., extending an 8K/16K model to 128K)
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- Continued training after applying positional / RoPE scaling techniques
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- Long-context training ablations and evaluation
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This dataset is **not intended** to be a standalone base pretraining corpus.
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## Limitations
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- Packing alters natural document boundaries
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- Tokenization, length distribution, and behavior depend on tokenizer choice/version
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- This artifact provides tokenized sequences, not raw text
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- Upstream corpora have their own limitations and licenses/terms
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## Citation
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If you use this dataset, please cite:
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5. Concatenating short- and long-context components into the final dataset
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### Tokenizer
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- Tokenizer name/path: `meta-llama/Meta-Llama-3-8B`
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- Each text is encoded with explicit BOS/EOS:
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- `BOS + text + EOS`
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- Length statistics and buckets are **tokenizer-dependent**
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---
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## Citation
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If you use this dataset, please cite:
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