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Given the following text problem statement, write Python code to implement the functionality described below in problem statement
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Problem:
Tensorflow - Splitting Record Files Into Train & Validation Sets

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Python Code::
import tensorflow as tf
from sklearn.model_selection import train_test_split
TRAINING_FILENAMES, VALIDATION_FILENAMES = train_test_split(
    tf.io.gfile.glob(r'data\tfrecords\ld_train*.tfrec'),
    test_size=0.3, random_state=101
)

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