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README.md
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This is the annotation dataset for **On the Memorization and Generalization of Generative Recommendation**.
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<a href="
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<a href="https://github.com/Jamesding000/MemGen-GR"><img src="https://img.shields.io/badge/Code-GitHub-black"></a>
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<a href="https://huggingface.co/jamesding0302/memgen-checkpoints"><img src="https://img.shields.io/badge/Models-Hugging%20Face-
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The annotations categorize evaluation instances under the leave-one-out protocol:
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- **test** split uses the **last** item in the user history sequence as target,
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- `subcategories`: list of `{rule, hop}` for fine-grained generalization types.
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- `all_labels`: all string labels (e.g., `["generalization", "symmetry_3"]`).
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## Load
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```python
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from datasets import load_dataset
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This is the annotation dataset for **On the Memorization and Generalization of Generative Recommendation**.
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<a href="https://huggingface.co/papers/2603.19809"><img src="https://img.shields.io/badge/Paper-ArXiv-red"></a>
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<a href="https://github.com/Jamesding000/MemGen-GR"><img src="https://img.shields.io/badge/Code-GitHub-black"></a>
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<a href="https://huggingface.co/jamesding0302/memgen-checkpoints"><img src="https://img.shields.io/badge/Models-Hugging%20Face-blue"></a>
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The annotations categorize evaluation instances under the leave-one-out protocol:
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- **test** split uses the **last** item in the user history sequence as target,
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- `subcategories`: list of `{rule, hop}` for fine-grained generalization types.
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- `all_labels`: all string labels (e.g., `["generalization", "symmetry_3"]`).
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## Load in M&G annotations
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```python
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from datasets import load_dataset
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