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@@ -8,16 +8,7 @@ pretty_name: OpenAI Moderation API Validation Dataset
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  ## Evaluation dataset for the paper "A Holistic Approach to Undesired Content Detection"
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- The evaluation dataset `data/samples-1680.jsonl.gz` is the test set used in [the following paper](https://arxiv.org/abs/2208.03274):
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-
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- ```
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- @article{openai2022moderation,
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- title={A Holistic Approach to Undesired Content Detection},
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- author={Todor Markov and Chong Zhang and Sandhini Agarwal and Tyna Eloundou and Teddy Lee and Steven Adler and Angela Jiang and Lilian Weng},
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- journal={arXiv preprint arXiv:2208.03274},
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- year={2022}
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- }
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- ```
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  Each line contains information about one sample in a JSON object and each sample is labeled according to our taxonomy. The category label is a binary flag, but if it does not include in the JSON, it means we do not know the label.
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  ## Evaluation dataset for the paper "A Holistic Approach to Undesired Content Detection"
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+ The evaluation dataset `data/samples-1680.jsonl.gz` is the test set used in [this paper](https://arxiv.org/abs/2208.03274).
 
 
 
 
 
 
 
 
 
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  Each line contains information about one sample in a JSON object and each sample is labeled according to our taxonomy. The category label is a binary flag, but if it does not include in the JSON, it means we do not know the label.
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