| {"prompt":"I need to clean a tabular dataset with missing values, encode categorical columns, and train an XGBoost classifier.","tool_call":"run_ml_pipeline(task='classification', steps=['impute_missing', 'label_encode', 'xgboost'])","response":"Here is the execution plan for your classification pipeline.","license":"cc0-1.0","verified_clean":true} | |
| {"prompt":"Optimize a PyTorch training loop where GPU memory utilization is spiking and causing OOM errors.","tool_call":"inspect_gpu_memory(strategy=['gradient_accumulation', 'mixed_precision_fp16'])","response":"To resolve the OOM error, implement gradient accumulation and mixed precision.","license":"cc0-1.0","verified_clean":true} | |