…ce#2994) This PR adds a prototype module for detecting data leaks and duplicates between dataset splits, as suggested in issue huggingface#2994 and inspired by the [LLE blog post](https://huggingface.co/blog/lbourdois/lle). ### 🔍 What it does: - Introduces `detect_leaks(dataset_name, subset=None)` in `libs/libcommon/src/libcommon/leak_detection.py` - Uses DuckDB to efficiently compute: - Leaks from train → test - Leaks from validation → test - Duplicates within train/validation/test splits - Supports datasets with `tokens`, `text`, and optionally `ner_tags` ### 🛠️ Example usage: ```bash python libs/libcommon/src/libcommon/leak_detection.py Will output stats for conll2003 like: yaml Copy Edit train_test_leaks: 78 validation_test_leaks: 25 train_dup: 1350 validation_dup: 180 test_dup: 269 📌 Notes: This is a standalone prototype and not yet wired into jobs or UI. Future steps may include integrating this into dataset QA dashboards or automated Hub checks. Closes huggingface#2994

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Compute leaks between splits? #2994

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