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Dataset Information

  • Corpus: tat_moe_multichannel
  • Status: Private and Closed

Subset Stats

Language condenser lavalier ios android xyh6_x xyh6_y
nan-tw 98,091 / 102.33 97,880 / 102.06 94,517 / 98.22 87,338 / 91.80 97,460 / 101.66 96,536 / 100.60
Total 98,091 / 102.33 97,880 / 102.06 94,517 / 98.22 87,338 / 91.80 97,460 / 101.66 96,536 / 100.60

train

Language condenser lavalier ios android xyh6_x xyh6_y
nan-tw 74,746 / 78.61 74,576 / 78.38 71,980 / 75.31 66,972 / 71.05 74,162 / 77.98 73,494 / 77.16
Total 74,746 / 78.61 74,576 / 78.38 71,980 / 75.31 66,972 / 71.05 74,162 / 77.98 73,494 / 77.16

eval

Language condenser lavalier ios android xyh6_x xyh6_y
nan-tw 10,761 / 11.13 10,734 / 11.11 10,109 / 10.50 7,866 / 8.27 10,718 / 11.10 10,459 / 10.85
Total 10,761 / 11.13 10,734 / 11.11 10,109 / 10.50 7,866 / 8.27 10,718 / 11.10 10,459 / 10.85

test

Language condenser lavalier ios android xyh6_x xyh6_y
nan-tw 12,584 / 12.59 12,570 / 12.58 12,428 / 12.41 12,500 / 12.49 12,580 / 12.59 12,583 / 12.59
Total 12,584 / 12.59 12,570 / 12.58 12,428 / 12.41 12,500 / 12.49 12,580 / 12.59 12,583 / 12.59
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