Remove bias from your data

SynthEthic shows you how biased your data is, and helps you fix it.

View Demo Upload your own data


Data Evaluation

The data that you use everyday is biased, resulting in the bias creeping into your models. We tested some popular datasets for bias. Here are the results:

  • The Alpaca-52k dataset
    15% of the examples in this dataset enforce bias and stereotypes. While this may not seem like a lot, current LLMs are known to amplify stereotypes in the data they are trained on. Is it really a risk you’re willing to take with your model?

Model Evaluation

We evaluated the Phi-2 model on the CrowsPairs dataset and found that it was biased:
It is 40% more likely to predict stereotypical genders than non-stereotypical.
And this is after their claims of using only high-quality data to train their model.

Your model could be biased too. It’s time to find out and fix it.

Contact Us

If you have any questions, please contact us