datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BeamRL-TrainData
BeamRL-TrainData
BeamRL-TrainData is a synthetic dataset of beam mechanics question-answer pairs used to train the BeamPERL model via Group Relative Policy Optimization (GRPO) with verifiable reward signals. Each row corresponds to a unique simply supported beam configuration solved symbolically, paired with natural-language questions and ground-truth reaction force answers.
Dataset Details
Property
Value
Rows
180
Beam type
Simply supported (pin at x=0… See the full description on the dataset page: https://huggingface.co/datasets/tphage/BeamRL-TrainData.BeamRL-TrainData
BeamRL-TrainData
BeamRL-TrainData is a synthetic dataset of beam mechanics question-answer pairs used to train the BeamPERL model via Group Relative Policy Optimization (GRPO) with verifiable reward signals. Each row corresponds to a unique simply supported beam configuration solved symbolically, paired with natural-language questions and ground-truth reaction force answers.
Dataset Details
Property
Value
Rows
180
Beam type
Simply supported (pin at x=0… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/BeamRL-TrainData.BeamRL-EvalData
BeamRL-EvalData
BeamRL-EvalData is a synthetic dataset of beam mechanics question-answer pairs used to evaluate the BeamPERL model. It is the companion evaluation set to tphage/BeamRL-TrainData, and is deliberately designed with harder, more varied configurations to test out-of-distribution generalization: a fixed beam length (9*L) and load magnitude (-13*P) are used, but configurations span 1–3 simultaneous point loads and variable support positions (not just pin at x=0 and roller… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/BeamRL-EvalData.BeamRL-EvalData
BeamRL-EvalData
BeamRL-EvalData is a synthetic dataset of beam mechanics question-answer pairs used to evaluate the BeamPERL model. It is the companion evaluation set to tphage/BeamRL-TrainData, and is deliberately designed with harder, more varied configurations to test out-of-distribution generalization: a fixed beam length (9*L) and load magnitude (-13*P) are used, but configurations span 1–3 simultaneous point loads and variable support positions (not just pin at x=0 and roller… See the full description on the dataset page: https://huggingface.co/datasets/tphage/BeamRL-EvalData.