6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (79:85, 7%)
  - fairseq/tasks/denoising.py (268:276, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (88:94, 9%)
  - fairseq/tasks/denoising.py (268:276, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (77:83, 11%)
  - fairseq/tasks/sentence_ranking.py (213:219, 3%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (79:85, 7%)
  - fairseq/tasks/sentence_ranking.py (213:219, 3%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (77:83, 11%)
  - fairseq/tasks/masked_lm.py (262:268, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (88:94, 9%)
  - fairseq/tasks/sentence_prediction.py (276:282, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (88:94, 9%)
  - fairseq/tasks/masked_lm.py (262:268, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (88:94, 9%)
  - fairseq/tasks/multilingual_masked_lm.py (332:338, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (77:84, 7%)
  - fairseq/tasks/multilingual_language_modeling.py (615:624, 1%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (77:83, 11%)
  - fairseq/tasks/sentence_prediction.py (276:282, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (79:85, 7%)
  - fairseq/tasks/multilingual_masked_lm.py (332:338, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (77:83, 11%)
  - fairseq/tasks/denoising.py (268:276, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (79:85, 7%)
  - fairseq/tasks/sentence_prediction.py (276:282, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (86:93, 9%)
  - fairseq/tasks/multilingual_language_modeling.py (615:624, 1%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (77:83, 11%)
  - fairseq/tasks/multilingual_masked_lm.py (332:338, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_mt.py (79:85, 7%)
  - fairseq/tasks/masked_lm.py (262:268, 2%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_masked_lm.py (88:94, 9%)
  - fairseq/tasks/sentence_ranking.py (213:219, 3%)

6 duplicated lines in:
  - fairseq/benchmark/dummy_lm.py (75:82, 11%)
  - fairseq/tasks/multilingual_language_modeling.py (615:624, 1%)