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This dataset consists of the attack samples used for the paper: Extracting training data from fine-tuned Large Language Models for code

We have two splits:
- The `fine-tuning attack`, which consists of selected samples coming from the **[fine-tuning set](https://huggingface.co/datasets/fabiosalern/MEM-TUNE_Java)**
- The `pre-training attack`, which consists of selected samples coming from the **[TheStack-v2](https://huggingface.co/datasets/bigcode/the-stack-v2)** on the Java section

We have different splits depending on the duplication rate of the samples:
- `d1` the samples inside the training set are unique
- `d2` the samples inside the training set are present two times
- `d3` the samples inside the training set are present three times
- `dg3` the samples inside the training set are present more than three times

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  1. README.md +5 -1
README.md CHANGED
@@ -206,4 +206,8 @@ configs:
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  path: pre-train/d3-*
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  - split: dg3
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  path: pre-train/dg3-*
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- ---
 
 
 
 
 
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  path: pre-train/d3-*
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  - split: dg3
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  path: pre-train/dg3-*
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+ tags:
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+ - code
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+ size_categories:
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+ - 1K<n<10K
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+ ---