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--- |
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task_categories: |
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- text-generation |
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language: |
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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:** ~702–708 MB |
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- **Total size:** ~166 GB |
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## Usage |
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This dataset is used for training in the [LLaDA-from-scratch](https://github.com/F4k3r22/LLaDA-from-scratch) GitHub repository, where you’ll find the full data pipeline and training scripts. |
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