jhyuckkim/fast-feedback-benchmark
fast-feedback: offline benchmark data for cheap scaling-recipe ranking Curated snapshot (2026-08-11) of public training-curve datasets used to build an offline ground-truth benchmark for evaluating cheap feedback mechanisms that rank LLM scaling recipes / architectures without training full ladder families. A feedback mechanism is a budgeted procedure ("train these small rungs to N tokens, inspect the curves, output a ranking"). This data lets such procedures be evaluated by… See the full description on the dataset page: https://huggingface.co/datasets/jhyuckkim/fast-feedback-benchmark.
| Author / organization | jhyuckkim |
|---|---|
| License (as declared) | odc-by |
| Downloads | 297 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 August 2026 |
| Last updated at source | 11 August 2026 |
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