datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SemanticAlign-Bench
SemanticAlign-Bench
A benchmark for evaluating AI agents on structured claim extraction from top-tier ML conference papers. Each paper is decomposed into Semantic Alignment Units (SAU) — atomic, self-contained implementation propositions — across four diagnostic dimensions spanning numerical precision to pipeline-level workflow. Agents are evaluated on whether they can reproduce these claims without hallucination, omission, or misordering.
The Four SAU Dimensions… See the full description on the dataset page: https://huggingface.co/datasets/kernel-14/SemanticAlign-Bench.robot_control
Robot Control Dataset
Overview
The TD-NIRS and EEG data for this dataset was collected using a Kernel Flow headset.
Participants were asked to:
Clench left fist
Clench right fist
Clench both fists
Tap tongue
Relax
Data
The data folder contains numpy files. Each numpy file represents a 15s chunk of data.
Timing
t=0 t=3 t=15
rest period stimulus presented end of data
Format
You can use the… See the full description on the dataset page: https://huggingface.co/datasets/KernelCo/robot_control.tunisian_licence_platescorn-kernel-synthetic-dataset-3000kernel-neural-data