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+ ---
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+ license: apache-2.0
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+ tags:
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+ - flow-matching
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+ - continuous-latents
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+ - math-reasoning
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+ - qwen2.5
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+ - block-diffusion
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - text-generation
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+ ---
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+
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+ # BlockDiffuse Precomputed Latents & Reasoning Datasets
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+
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+ Precomputed tokenized reasoning traces and continuous latent trajectory representations extracted from **Qwen/Qwen2.5-0.5B-Instruct** for training **BlockDiffuse** Diffusion Transformers via Rectified Flow Matching.
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+
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+ ## Contents
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+ - `reasoning_tokenized_qwen.pt`: Pre-tokenized reasoning sequences formatted for block-wise training (12.5 MB).
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+ - `precomputed_reasoning_latents_qwen.pt`: Continuous latent representations extracted from intermediate layers of Qwen2.5 (69.1 MB).
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+ - `precomputed_real_qwen.pt`: Extracted mid-layer latent vectors and velocity targets (1,045 MB).
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+ - `precomputed_real_qwen_full.pt`: Full-scale training set with multi-turn reasoning traces (2,360 MB).
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+
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+ ## Citation
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+ ```bibtex
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+ @article{blockdiffuse2026,
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+ title={BlockDiffuse: Fully Parallel Latent Space Reasoning Generation with Diffusion Transformers},
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+ author={Hooshaai Research},
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+ year={2026},
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+ url={https://github.com/Hooshaai/BlockDiffuse}
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+ }
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+ ```