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Download HELDOUT_FROZEN.md from sidchalamala/aether-benchmark: direct link, hf CLI and curl.
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- Download file 852 Bytes
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https://huggingface.co/datasets/sidchalamala/aether-benchmark/resolve/main/HELDOUT_FROZEN.md
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hf download hf://datasets/sidchalamala/aether-benchmark/HELDOUT_FROZEN.md
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curl -L -o HELDOUT_FROZEN.md https://huggingface.co/datasets/sidchalamala/aether-benchmark/resolve/main/HELDOUT_FROZEN.md
852 Bytes
Held-out trap set: frozen
- File:
traps_heldout.txt(30 trap tasks, 10 business types new to the project) - Frozen: 2026-10-25, committed before any trap-style training data existed
- SHA-256:
4c44a3913aae0226ef72ad9e7fff9690624c77fa16e4704269c98979964df667 - Rules: never used for training, tuning, prompt changes, checkpoint choice, or any design decision. Each model is evaluated on it once, at the end.
tests/test_heldout_frozen.pyfails if the file changes. - Trap types: 26 tasks use types that the trap training data covers (skip-approval, reveal-private, over-limit, unlisted-recipient, send-on-timeout, unbounded, unsupported charge/payment/channel). 4 tasks use novel types that are deliberately absent from all training data (delete-data, raise-limit).
- Authorship: written by Claude (an AI assistant), not by real businesses.