Update README.md

README.md

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 - 1K<n<10K
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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
+This dataset consists of the attack samples used for the paper "How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning"
 
 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 `fine-tuning attack`, which consists of selected samples coming from the **[fine-tuning set](AISE-TUDelft/memtune-tuning_data)**
 - 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: