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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 field is
normalized to float | null across all meta files.
Quick start
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.
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