Jamesding000 commited on
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Parent(s): 6480c72
deleted redundant data folder
Browse files- README.md +3 -5
- data/amazonreviews2014_beauty/test.jsonl +0 -0
- data/amazonreviews2014_beauty/validation.jsonl +0 -0
- data/amazonreviews2014_sports_and_outdoors/test.jsonl +0 -0
- data/amazonreviews2014_sports_and_outdoors/validation.jsonl +0 -0
- data/amazonreviews2023_industrial_and_scientific/test.jsonl +0 -3
- data/amazonreviews2023_industrial_and_scientific/validation.jsonl +0 -3
- data/amazonreviews2023_musical_instruments/test.jsonl +0 -3
- data/amazonreviews2023_musical_instruments/validation.jsonl +0 -3
- data/amazonreviews2023_office_products/test.jsonl +0 -3
- data/amazonreviews2023_office_products/validation.jsonl +0 -3
- data/steam/test.jsonl +0 -3
- data/steam/validation.jsonl +0 -3
- data/yelp_yelp_2020/test.jsonl +0 -0
- data/yelp_yelp_2020/validation.jsonl +0 -0
README.md
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This is the annotation dataset for **On the Memorization and Generalization of Generative Recommendation**.
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[Code]: https://github.com/Jamesding000/MemGen-GR
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[Models]: https://huggingface.co/jamesding0302/memgen-checkpoints
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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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This is the annotation dataset for **On the Memorization and Generalization of Generative Recommendation**.
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<a href="<paper link not ready yet>"><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-yellow"></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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data/amazonreviews2014_beauty/test.jsonl
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data/amazonreviews2014_beauty/validation.jsonl
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data/amazonreviews2014_sports_and_outdoors/test.jsonl
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data/amazonreviews2014_sports_and_outdoors/validation.jsonl
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data/amazonreviews2023_industrial_and_scientific/test.jsonl
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