{
 "id": "inclusionAI/Ling-Coder-SyntheticQA",
 "owner": "inclusionAI",
 "name": "Ling-Coder-SyntheticQA",
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 "last_modified": "2025-03-27T12:39:52.000Z",
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 "gated": false,
 "tasks": [
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 ],
 "citation": "@misc{codefuse2025samplemattersleveragingmixtureofexperts,\n      title={Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM}, \n      author={Codefuse and Ling Team},\n      year={2025},\n      eprint={2503.17793},\n      archivePrefix={arXiv},\n      primaryClass={cs.LG},\n      url={https://arxiv.org/abs/2503.17793}, \n}",
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