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README.md

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+---
+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.