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Dispute a label #5

@evidencebp

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@evidencebp

When labeling, we try to get high accuracy.
We require justification, mark uncertainty and comment on special point.
However, the accuracy of human labeling in this domain is about 95%.

Therefore, the data set probably contain labeling error.
If you find one, please open an issue with

  • Data set file
  • The sample and its label
  • The reason to the dispute

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