Datasets:
user_id stringlengths 28 36 | interactions dict |
|---|---|
AE37Q6TCPNWG4RUJMJIKRYFBI4CQ | {"Beauty_and_Personal_Care":[{"asin":"B004WIUNBW","parent_asin":"B004WIUNBW","timestamp":13289788190(...TRUNCATED) |
AE3IGJOPJP6LFXEJTIXFJVSJLILA | {"Beauty_and_Personal_Care":[{"asin":"B00005A43X","parent_asin":"B092JPFJV6","timestamp":11292532950(...TRUNCATED) |
AE3PLZHW6NXWBMZ76TDVFQG2MJFA | {"Beauty_and_Personal_Care":[{"asin":"B002AMUIBM","parent_asin":"B002AMUIBM","timestamp":12692636850(...TRUNCATED) |
AE3Q2IEAEPKO2657BKVXG4KX2TZA | {"Beauty_and_Personal_Care":[{"asin":"B002BA5KNO","parent_asin":"B002BA5KNO","timestamp":13032255690(...TRUNCATED) |
AE3XQIOUTG5XSSDBBT7IQFM7DF5A | {"Beauty_and_Personal_Care":[{"asin":"B003F2T0M4","parent_asin":"B086RYM4SZ","timestamp":12880671490(...TRUNCATED) |
AE64UFB76MUZT2F2V7TCAWRO6PEA | {"Beauty_and_Personal_Care":[{"asin":"B006GQYSGE","parent_asin":"B006GQYSGE","timestamp":13374382960(...TRUNCATED) |
AE6AUO3Z6Q5N5VK2JDWGZEGFW4GA | {"Beauty_and_Personal_Care":[{"asin":"B000C213E8","parent_asin":"B09X6CQBPV","timestamp":11887163010(...TRUNCATED) |
AE7D254P3VPB3SHF4CP3D3MFTFHA | {"Beauty_and_Personal_Care":[{"asin":"B000052ZB7","parent_asin":"B000052ZB7","timestamp":10797976120(...TRUNCATED) |
AE7L6TFFDGW4ABGV4TQ4ZBOABXTQ | {"Beauty_and_Personal_Care":[{"asin":"B00V0WCI3Y","parent_asin":"B0C5L9GQFJ","timestamp":14370939170(...TRUNCATED) |
AE7QX327FYG2YS4OL27GBQABRRDQ | {"Beauty_and_Personal_Care":[{"asin":"B005CE21YW","parent_asin":"B005CE21YW","timestamp":13456488600(...TRUNCATED) |
End of preview. Expand in Data Studio
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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