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.hedgehog-precision-repair
hedgehog-precision-repair
Hedgehog — precision-repair round (complete merchant extraction).
Contents
train.jsonl (1180 rows)
validation.jsonl (116 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
Original content for the Hedgehog extraction model (Michael Anthony Falabella).
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.adaption-precision-agriculture-qa-augmented
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-precision_agriculture_qa (augmented)
This dataset consists of instruction and response pairs focused on precision agriculture technologies and methodologies. Queries cover topics such as soil sensor integration, variable rate application, yield mapping, and data-driven farm management. Each response provides detailed technical explanations and operational guidance for optimizing… See the full description on the dataset page: https://huggingface.co/datasets/darthludious/adaption-precision-agriculture-qa-augmented.math_precision_benchmarking
🧮 Math Precision — Benchmarking
A Formal Framework for High-Precision Arithmetic Evaluation in Large Language Models
Math Precision — Benchmarking, developed by Sapiens Technology®, is a rigorous framework for evaluating the true arithmetic capabilities of large language models by generating fully stochastic, high-precision mathematical problems that eliminate memorization and heuristic guessing; operating in a 100-digit floating-point field, it forces extreme numerical precision… See the full description on the dataset page: https://huggingface.co/datasets/sapiens-technology/math_precision_benchmarking.kanitakorn-thaiexam-v29-thai-language-precision-worker-e-20260614kilo_code_precision_training_dataPrecision-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.multidomain_reasoning_precision_v17