How can I filter tf.data.Dataset by specific values?

I think you don't need to make label a 1-dimensional array in the first place.

with:

feature = {'label': tf.FixedLenFeature((), tf.string)}

you won't need to unstack the label in your filter_func

I am answering my own question. I found the issue!

What I needed to do is tf.unstack() the label like this:

label = tf.unstack(features['label'])
label = label[0]

before I give it to tf.equal():

result = tf.reshape(tf.equal(label, 'some_label_value'), [])

I suppose the problem was that the label is defined as an array with one element of type string tf.FixedLenFeature([1], tf.string), so in order to get the first and single element I had to unpack it (which creates a list) and then get the element with index 0, correct me if I'm wrong.