pretty_name: Prepared INSID3 benchmark datasets
Prepared INSID3 benchmark datasets
ZIPs of extracted/processed benchmark folders, excluding original downloaded archives, embeddings, weights, logs and unfinished downloads. Each dataset is one ZIP64 archive compressed with DEFLATE level 1.
Extract ZIPs into the same datasets directory, then run python datasets/DATASET/restore_layout.py for each extracted dataset. This restores hardlinked aliases and relative symlinks without duplicating shared image bytes. PACO-Part requires LVIS for shared COCO images; remote_sensing contains the iSAID compatibility link. COCO2014 split definitions are materialized, so no server-specific external path is required.
Example:
unzip SUIM.zip -d datasets
python datasets/SUIM/restore_layout.py
prepared_inventory.json lists actual archive sizes and unique payload sizes. These are prepared folders, not the original raw dataset download archives.