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mcmillanmajora
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---
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title: Key Takeaways
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description: The key takeaways from this exploration
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date: 2022-01-26
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thumbnail: images/huggingface_logo.png
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---
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# Conclusion
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Here are some of the main ideas we have conveyed in this exploration:
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- Defining hate speech is hard and changes depending on your context and goals.
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- Capturing a snapshot of what you've defined to be hate speech in a dataset is hard.
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- Models learn lots of different things based on the data it sees, and that can include things you didn't intend for them to learn.
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Action items?
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