datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
asr-evaluationssentinel-evaluations
Sentinel Evaluations
Evaluation results for multiple alignment seeds across various AI safety benchmarks.
Overview
This dataset contains:
Seeds: Alignment prompts from different sources (Sentinel, FAS, Safyte xAI)
Results: Evaluation results across HarmBench, JailbreakBench, GDS-12, and more
Quick Start
from datasets import load_dataset
# Load seeds
seeds = load_dataset("sentinelseed/sentinel-evaluations", "seeds", split="train")
# Load results
results =… See the full description on the dataset page: https://huggingface.co/datasets/sentinelseed/sentinel-evaluations.adaption-marketing-fit-evaluations
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-marketing_fit_evaluations
This dataset contains prompt-completion pairs where an AI evaluates marketing communications for specific regional markets, focusing on trust, cultural context, and decision friction. Each completion provides a market fit score, strategic diagnosis, and a rewritten copy optimized for the target audience and platform. The entries cover diverse sectors and… See the full description on the dataset page: https://huggingface.co/datasets/Debbyjaye001/adaption-marketing-fit-evaluations.pythia.summary.evaluations