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mjuicem/MM-HELIX-100K

MM-HELIX-100K: High-Quality Multimodal Reflective CoT Project Page Paper Code MM-HELIX-100K The 42 tasks in the MM-HELIX-100K To train models for complex reasoning, a large-scale, high-quality dataset is essential. We introduce MM-HELIX-100K, a dataset of 100,000 instruction-tuning instances with detailed, reflective reasoning paths. This dataset was created using our Step-Elicited Response Generation (SERG) pipeline, which efficiently generates high-quality… See the full description on the dataset page: https://huggingface.co/datasets/mjuicem/MM-HELIX-100K.

Author / organizationmjuicem
License (as declared)apache-2.0
Downloads155 (as reported by Hugging Face)
Likes10
Created9 October 2025
Last updated at source13 October 2025
multimodalreasoningtraining setSFT datasetRL datasetlong-chain-reasoningalgorithmsgraphspuzzlesgames
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