Note:
datasets["train"] contains the train data. Similarly, datasets["test"] contains the test data.
datasets["train"].batch(2) batches 2 data samples at a time.
datasets["train"].batch(2).take(1) allows to take 1 batch at a time.
Each batch is of type Eager Temsor. We could convert it to numpy array using X_batch.numpy().
We shall traverse through the batches and show the review(first 200 characters) and label of the first batch data samples:
for X_batch, y_batch in datasets["train"].batch(2).take(1):
for review, label in zip(X_batch.numpy(), y_batch.numpy()):
print("Review:", review.decode("utf-8")[:200], "...")
print("Label:", label, "= Positive" if label else "= Negative")
print()
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