Entity in verbalized answer different than seed entity of the question

[montellasebastien]

Hi,

I went through your dataset, and there are several discrepancies between the question entity and the answer entity.
For example, the 4th and 24th example in training:

{"answer":"male","answer_sentence":"sterjo is a male.","question":"Which sex does Joseph Louis Watkins, Jr. belong to ?","question_entity_label":"Joseph Louis Watkins, Jr.","question_id":41188,"question_relation":"P21"}
{"answer":"male","answer_sentence":"peter muller is a male.","question":"What is the sex of William Bailey ?","question_entity_label":"William Bailey","question_id":12117,"question_relation":"P21"}

First statistics with 10 recurrent repeated names show that it stands for 5% of the training and testing data.
Can you correct those errors ? It directly impacts the BLEU and METEOR scores of the NLG model you trained since those errors also appear in the gold of the test file.