SlowGuess/NAACL_2021_OCR huggingface dataset:
(c) HotpotQA, dev data discarded  $22.76\%$  (1650), test data discarded  $23.43\%$  (1704).
(d) TriviaQA, dev data discarded  $15.06\%$  (950), test data discarded  $14.41\%$  (1109).
(e) Zero Shot RE, dev data discarded  $15.42\%$  (679), test data discarded  $13.38\%$  (767).
(f) Wizard of Wikipedia, dev data discarded  $12.06\%$  (469), test data discarded  $11.39\%$  (427).
Figure 5: BLEU score distribution in train data per provenance. For TriviaQA, we try to map all object aliases for the answer. FEVER has the oldest Wikipedia snapshot. We discards on average  $17.9\%$  dev and  $17.65\%$  test data. For TriviaQA there are a large number of 0 scores because we try to map all aliases for the answer and most of the aliases are not found in a Wikipedia page. Note that we consider a QA pair valid if we match at least one alias.