Datasets:

shadowcollecter
/

cxlssd-processed

license: cc-by-nc-4.0
task_categories:
  - other
language:
  - en
tags:
  - cxl-ssd
  - dlrm
  - merci
  - preprocessing
  - paper-archive
  - cxlssd-archetype-routing
size_categories:
  - 10G<n<100G
pretty_name: CXL-SSD Archetype Routing — Preprocessed Datasets

CXL-SSD Archetype Routing — Preprocessed Datasets

Stage-00 snapshot (2026-05-02). Intermediate MERCI / MaxEmbed / DLRM preprocessing artifacts: filtered CSVs, vocab tables, embedding-table indexes, partition outputs.

These are the outputs of MERCI_page_aware/analysis/preprocess_*.py applied to each raw dataset; they are the input to trace generation (research_data/traces/) and to the Cylon/MQSim/MaxEmbed simulators.

Tiers

criteo_terabyte/ — 45 GB
criteo_kaggle/ — 27 GB
avazu/ — 11 GB
alibaba_ifashion/, netflix/, mind/, tmall/ — 1-2 GB each
24 smaller datasets — < 1 GB each

Companion repos

See https://github.com/shadowcollecter/cxlssd-archetype-routing for the analysis scripts that produced these files.

License

CC-BY-NC-4.0; upstream dataset licences apply for any field-level redistribution.