--- license: apache-2.0 datasets: - MegaScience/MegaScience language: - en metrics: - accuracy base_model: - Qwen/Qwen3-14B-Base pipeline_tag: text-generation --- # [MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning](https://arxiv.org/abs/2507.16812) ## Qwen3-14B-MegaScience ### Training Recipe - **LR**: 5e-6 - **LR Schedule**: Cosine - **Batch Size**: 512 - **Max Length**: 4,096 - **Warm Up Ratio**: 0.05 - **Epochs**: 3 ### Evaluation Results
Data Pipeline
Data Pipeline
### More about MegaScience
Data Pipeline
## Citation Check out our [paper](https://arxiv.org/abs/2507.16812) for more details. If you use our dataset or find our work useful, please cite ``` @article{fan2025megascience, title={MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning}, author={Fan, Run-Ze and Wang, Zengzhi and Liu, Pengfei}, year={2025}, journal={arXiv preprint arXiv:2507.16812}, url={https://arxiv.org/abs/2507.16812} } ```