datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
precisionmembenchPrecisionMemBench is a multi-dimensional retrieval benchmark for LLM memory systems. It measures four orthogonal properties that single-turn answer-quality benchmarks cannot detect:
Retrieval precision - does the right belief surface, and only that belief, against a fixed seed corpus of 35 beliefs spanning two domain scopes, a supersession chain, and a secondary-user fixture
Noise isolation - do beliefs introduced during off-topic drift turns contaminate retrieval on subsequent unrelated… See the full description on the dataset page: https://huggingface.co/datasets/tenurehq/precisionmembench.llm-precision-fingerprints
LLM Precision Fingerprints — precision-labelled logprobs with a built-in negative control
Greedy responses and per-position top-20 logprobs from one model served at several precisions over
a sealed 40-probe set, recorded on identical hardware.
What makes this different from any other logprob dump: it ships five fp16 arms that differ
only in seed and batch composition. Those are a negative control — they let you compute the
false-positive rate of any substitution detector you… See the full description on the dataset page: https://huggingface.co/datasets/nickh007/llm-precision-fingerprints.Precision-Crop-Genomics-lane-state
Precision-Crop-Genomics — lane-state mirror
Public mirror of the Precision-Crop-Genomics lane's product-page bundle and
orchestration state. This dataset is the redundant-storage backup of the lane
work; the canonical source of truth is the GitHub lane repo.
Canonical source
GitHub (canonical): https://github.com/Zer0pa/Precision-Crop-Genomics
GitHub branch holding this bundle:
lane-agent/showcase-product-page-2026-05-12
GitHub commit at upload time: 0ffe5843cb71… See the full description on the dataset page: https://huggingface.co/datasets/Zer0pa/Precision-Crop-Genomics-lane-state.