Datasetpublic

WZDavid/MemoryCD

MemoryCD Filtered cross-domain subset of Amazon Reviews 2023 for memory-augmented LLM evaluation. All configs expose a single test split (evaluation only). Contents Config Records users_interactions 323 users meta_personal_care 33,475 items meta_books 48,054 items meta_electronics 25,441 items meta_home 60,900 items The 4 meta files contain exactly the items referenced by the 323 users (167,870 unique parent_asin, 100% coverage). The price… See the full description on the dataset page: https://huggingface.co/datasets/WZDavid/MemoryCD.

sourceHugging Faceupdated 4mo agoView on Hugging Face

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Dataset Card

MemoryCD

Filtered cross-domain subset of Amazon Reviews 2023 for memory-augmented LLM evaluation. All configs expose a single test split (evaluation only).

Config	Records
`users_interactions`	323 users
`meta_personal_care`	33,475 items
`meta_books`	48,054 items
`meta_electronics`	25,441 items
`meta_home`	60,900 items

The 4 meta files contain exactly the items referenced by the 323 users (167,870 unique parent_asin, 100% coverage). The price field is normalized to float | null across all meta files.

Quick start

python

from datasets import load_dataset
users = load_dataset("WZDavid/MemoryCD", "users_interactions", split="test")
books = load_dataset("WZDavid/MemoryCD", "meta_books", split="test")

Source

Derived from McAuley-Lab/Amazon-Reviews-2023.