12138yx

监督数据集中的： video_0001,0013,有人假扮我，我要把事情弄清楚。,-0.2,-0.2,0.0,0.0,Neutral,train video_0002,0002,这菜还没凉，要不吃点？,0.2,0.2,0.0,0.0,Neutral,train video_0002,0005,你们就一个球都别想进,-0.6,-0.6,-0.4,-0.4,Neutral,train video_0002,0027,我工作以来从来没有算错过任何一笔账，我不会因为你而破例,-0.6,-0.4,-0.6,-0.4,Positive,train .... 这样的数据在训练集中有174条，验证集中有61条，测试集中有65条 with open("./dataset/ch-sims2/unaligned-001.pkl", "rb") as f: data = pickle.load(f) annotations = data['valid']['annotations'] regression_labels = data['valid']['regression_labels'] for i in range(len(annotations)): if (annotations[i]=='Positive' and regression_labels[i]>0) or\...