rnn_features_labels.py

features = []
labels = []

training_length = 50

# Iterate through the sequences of tokens
for seq in sequences:

    # Create multiple training examples from each sequence
    for i in range(training_length, len(seq)):
        
        # Extract the features and label
        extract = seq[i - training_length:i + 1]

        # Set the features and label
        features.append(extract[:-1])
        labels.append(extract[-1])
        
features = np.array(features)