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ReflectiVA metadata shard: Mac work package
This package fetches the second half of the referenced Wikidata metadata used by the local ReflectiVA 100K fact-store builder. It does not contain the final fact store. Batch numbering is global and deterministic, so its output can be merged with the Windows-produced first half.
Assigned shard
Referenced IDs: 527,399
Batch size: 50
Total batches: 10,548
Mac range: [5,274, 10,548) # 5,274 through 10,547
Use a different public egress IP from the Windows machine. Verify it first:
curl https://api.ipify.org
Download and run on macOS
hf download Kyle-han/reflectiva-metadata-shard \
--repo-type dataset \
--local-dir ./reflectiva_metadata_mac
cd ./reflectiva_metadata_mac
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python fetch_metadata_shard.py \
--ids referenced_ids.txt \
--output-dir ./work/cache/metadata \
--batch-start 5274 \
--batch-end 10548 \
--batch-size 50 \
--workers 2 \
--archive-output ./reflectiva_metadata_batches_005274_010547.tar.gz \
2>&1 | tee reflectiva_metadata_mac.log
The command is resumable. Running it again validates and skips completed
batch_*.json.gz files. Start with two workers; increase only if 429 responses
remain infrequent.
Upload the completed archive
hf auth login
hf upload Kyle-han/reflectiva-metadata-shard \
./reflectiva_metadata_batches_005274_010547.tar.gz \
reflectiva_metadata_batches_005274_010547.tar.gz \
--repo-type dataset
hf upload Kyle-han/reflectiva-metadata-shard \
./reflectiva_metadata_mac.log \
reflectiva_metadata_mac.log \
--repo-type dataset
Do not upload the work/cache/metadata directory as thousands of individual
files. Upload the single archive generated after all 5,274 batches validate.
Windows merge
After downloading the completed archive on Windows, extract it into the cache
parent. The archive contains a top-level metadata/ directory.
tar -xzf reflectiva_metadata_batches_005274_010547.tar.gz `
-C D:\kb_fact_store_100k\reflectiva\cache
The merged directory should contain every global batch from
batch_000000.json.gz through batch_010547.json.gz before final-store building.
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