Use this transformation to produce a dataset that contains one instance of
each unique element in the input. For example:
dataset=tf.data.Dataset.from_tensor_slices([1,37,2,37,2,1])# Using `unique()` will drop the duplicate elements.dataset=dataset.apply(tf.data.experimental.unique())# ==> { 1, 37, 2 }
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-03-23 UTC."],[],[]]