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README.md
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- en
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size_categories:
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- 1B<n<10B
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- en
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size_categories:
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- 1B<n<10B
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---
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**Dataset:** LLaDA-Sample-10BT
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**Base:** `HuggingFaceFW/fineweb` (subset `sample-10BT`)
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**Purpose:** Training LLaDA (Large Language Diffusion Models)
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## Preprocessing
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- **Tokenizer:** `GSAI-ML/LLaDA-8B-Instruct`
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- **Chunking:** Up to **4,096 tokens** per chunk (1% of chunks randomly sized between 1–4,096 tokens)
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- **Noisy masking:** Applied with noise factor ε = 1×10⁻³
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- **Fields per chunk (PyTorch tensors):**
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- `input_ids`
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- `noisy_input_ids`
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- `mask`
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- `t` (time scalar)
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## Statistics
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- **Total chunks:** ~2,520,000
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- **Shards:** 252 `.pt` files
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- **Chunks per file:** 10,000
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- **Average file size:** ~660–680 MB
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- **Total size:** ~166 GB
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