ARJUN A A R

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Using tf.convert_to_tensor works fine: ``` import tensorflow as tf start_pos = tf.convert_to_tensor(train_ds['start_positions'], dtype=tf.int64) start_pos = tf.reshape(start_pos, [-1, 1]) ``` Alternatively, using the built-in to_tf_dataset also avoids the issue: ``` train_tf...