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Add three audited original community task datasets
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Original generator snapshot

Original code is MIT; generated data are CC0-1.0. These additions were not trained or model evaluated. From this directory, use a fresh output path for each command:

python3 -m jev.context_retention_data --output-dir data/context-retention-control-v1 --groups 400 --ood-groups 80 --seed 942
python3 -m jev.case_sponsor_segments --output-dir data/sponsor-segment-control-v1 --groups 400 --ood-groups 80 --seed 42
python3 -m jev.silent_failure_data --output-dir data/silent-failure-control-v1 --groups 400 --ood-groups 80 --seed 42

Each original manifest binds generator/source hashes and exact JSONL hashes. Independent auditors are included under reports/ and scripts/. Auxiliary cases are audit evidence and must not be added to model inputs.