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Yxanul/moe-unified-dataset-sota

moe-unified-dataset-sota A unified dataset for training Mixture of Experts (MoE) models, combining multiple high-quality sources. Dataset Statistics Total Examples: 2,186,763 Train Split: 2,077,424 Test Split: 109,339 Sources NousResearch/Hermes-3-Dataset - General instruction following, math, coding (~950k examples) Salesforce/xlam-function-calling-60k - Function/tool calling (60k examples) MegaScience/TextbookReasoning - Academic Q&A (~650k… See the full description on the dataset page: https://huggingface.co/datasets/Yxanul/moe-unified-dataset-sota.

Author / organizationYxanul
License (as declared)apache-2.0
Downloads140 (as reported by Hugging Face)
Likes0
Created31 July 2025
Last updated at source31 July 2025
moeinstruction-followingtool-usereasoning
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140 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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  • 16 Oct 2026 Description: moe-unified-dataset-sota A unified dataset for training Mixture of Experts (MoE) models, combining multiple high-quality sources. Dataset Statistics Total Examples: 2,186,763 Train Split: 2,077,424 Test Split: 109,339 Sources NousResearch/H → moe-unified-dataset-sota A unified dataset for training Mixture of Experts (MoE) models, combining multiple high-quality sources. Dataset Statistics Total Examples: 2,186,763 Train Split: 2,077,424 Test Split: 109,339 Sources NousResearch/H

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.