1. Follow instructions here to setup verl: https://verl.readthedocs.io/en/latest/README_vllm0.8.html
2. conda activate verl
3. pip install seaborn

Our training and test data are stored on Hugging Face:

• Training data, stage 1: https://huggingface.co/datasets/CMU-AIRe/e3-math-easy
• Training data, stage 2: https://huggingface.co/datasets/CMU-AIRe/e3-math-medhard
• Test data: https://huggingface.co/datasets/CMU-AIRe/hmmt-aime-2025

To set up data for training,

1. Create a local directory to store data
2. Run python examples/data_preprocess/math/generate_dataset.py --local_dir $dir --remote_dir $hf_dir --split $split
3. Ensure that data.train_files and data.val_files in your scripts (e.g., scripts/grpo/grpo_16k.sh) point to the downloaded data

For eval you can run bash scripts/eval.sh