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README: point at both arms; label the regression metric rmse, as info.json does
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Publish the C1 condition: exact per-task prompts, the layer, and its documentation
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homesite-insurance: scoring is ROC-AUC, not R2
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homecredit-default: scoring is ROC-AUC, not R2
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ecom-offers: scoring is ROC-AUC, not R2
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Hardware section: strict device-resolution requirement (cuda/mps/cpu), forbid CUDA-only checks
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Hardware hint: accelerator-agnostic (CUDA or Apple MPS)
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Dockerfiles: auto-select torch build (CUDA on x86_64, CPU on arm64); override with TORCH_VARIANT
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Scorers: write numeric-only reward.json (Harbor rejects string fields); diagnostics to stdout
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README: document self-contained task images (no external base image/repo/token)
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Self-contained task images (FROM python:3.12-slim, own requirements.txt); remove external base-image and agent-specific coupling
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README: fully agent-neutral (no agent names/specifics), generic -a <agent> run
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README: drop AutoDS-specific section; add docker-less (-e singularity) run option for any agent
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Reframe README: general benchmark for any Harbor agent; AutoDS specifics optional
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Fix stale README/registry: single dataset, agent-neutral base instructions, data shipped on HF
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Enrich TabReD base instructions with dataset context from yandex-research/tabred datasheet
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Strip C1 sections leaked into TabReD base instructions (AutoDS adds them at runtime)
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Add discretionary GPU hint to base instructions
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Collapse to 1 folder per task; base instruction only (AutoDS C1 at runtime)
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Note the 40k/10k temporal slice in registry description (transparency)
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full dataset incl. real data
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initial commit
