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@@ -17,7 +17,10 @@ In a pre-processing step, we split documents in into chunks of exactly 1024 toke
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  **Guidance on Responsible Use:**
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  In the paper, we document various types of bias that are present in the quality ratings (biases related to domains, topics, social roles, regions and languages - see Section 6 of the paper).
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- Hence, be aware that data selection with QuRating could have unintended and harmful effects on the language model that is being trained. We strongly recommend a comprehensive evaluation of the language model for these and other types of bias, particularly before real-world deployment. We hope that releasing the data/models can facilitate future research aimed at uncovering and mitigating such biases.
 
 
 
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  **Citation:**
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  ```
 
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  **Guidance on Responsible Use:**
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  In the paper, we document various types of bias that are present in the quality ratings (biases related to domains, topics, social roles, regions and languages - see Section 6 of the paper).
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+ Hence, be aware that data selection with QuRating could have unintended and harmful effects on the language model that is being trained.
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+ We strongly recommend a comprehensive evaluation of the language model for these and other types of bias, particularly before real-world deployment.
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+ We hope that releasing the data/models can facilitate future research aimed at uncovering and mitigating such biases.
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+ Note that the quality ratings do not measure the social or literary value of a text and should *not* be used for textual or demographic studies.
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  **Citation:**
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  ```