File size: 1,153 Bytes
ce537c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | ---
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.
|