nemo_rl.data.hf_datasets.deepscaler# Module Contents# Classes# DeepScalerDataset Functions# format_math prepare_deepscaler_dataset Load and split the DeepScaler dataset into train and test sets. API# nemo_rl.data.hf_datasets.deepscaler.format_math(data)[source]# nemo_rl.data.hf_datasets.deepscaler.prepare_deepscaler_dataset(seed=42)[source]# Load and split the DeepScaler dataset into train and test sets. class nemo_rl.data.hf_datasets.deepscaler.DeepScalerDataset(seed: int = 42)[source]# Initialization Initialize the DeepScaler dataset with train/test split. Parameters: seed – Random seed for reproducible splitting
