Train and Test Data Split for a Tweet Classification Task
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(all_disaster['cleaned'],specific_disaster['target'], test_size=0.33, random_state=42)

Like this, you train your model on all the disasters data, and you test it on a specific disaster.