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README.md
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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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# BlockDiffuse Precomputed Latents & Reasoning Datasets
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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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## 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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## 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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```
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