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- Edit this `README.md` markdown file to author your organization card.
 
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+ # ContinuousBench
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+ ContinuousBench measures progress in differentially private synthetic data.
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+ ContinuousBench has two tracks:
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+ * [Geminon](https://huggingface.co/datasets/ContinuousBench/Geminon): Fictional, Gemini-generated corpus
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+ * [News](https://huggingface.co/datasets/ContinuousBench/News): Scraped news articles from Septmember 2025
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+ Both datasets:
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+ * are designed to contain completely new information that models cannot answer
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+ * are paired with QA that can only be answered after training on the corpus
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+ Generate a DP synthetic version of News or Geminon, then test it: https://github.com/plau666/ContinuousBenchEval.
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+ Our evaluation trains a model on your DP synthetic version, and then asks the paired QA to see if your DP synthetic data was capable of teaching a model the knowledge present in the original corpus.
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