FredyRivera-dev/LLaDA-Sample-ES

Dataset: LLaDA-Sample-ES Base: crscardellino/spanish_billion_words Purpose: Training LLaDA (Large Language Diffusion Models) Preprocessing Tokenizer: GSAI-ML/LLaDA-8B-Instruct Chunking: Up to 4,096 tokens per chunk (1% of chunks randomly sized between 1–4,096 tokens) Noisy masking: Applied with noise factor ε = 1×10⁻³ Fields per chunk (PyTorch tensors): input_ids noisy_input_ids mask t (time scalar) Statistics Total chunks: ~ 652,089 Shards: 65… See the full description on the dataset page: https://huggingface.co/datasets/FredyRivera-dev/LLaDA-Sample-ES.

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