ai-evaluation
AI-Research-Evaluation-Repository-STEM
AI-STEM-Research-Eval-Dataset
Overview
This dataset contains AI-generated scientific reports across STEM domains, accompanied by structured metadata, prompt documentation, reference validation, and hallucination annotations.
It is designed as an open research resource to study the capabilities, limitations, and reliability of large language models (LLMs) in generating scientific content.
The dataset enables systematic analysis of how AI systems perform in… See the full description on the dataset page: https://huggingface.co/datasets/sreearravind/AI-Research-Evaluation-Repository-STEM.Open-Science-Evaluation
AIPOCH Open-Science evaluation materials
This collection accompanies AIPOCH Open-Science: A Local-First, Model-Agnostic and Auditable AI Research Workbench (manuscript v2). It contains nine archived scientific runs, a separate synthetic artifact-verification demonstration, supplementary benchmark records and a pinned snapshot of the case-preparation repository.
Run index
Only the outer presentation folders were added. Original directory names, files, archived code… See the full description on the dataset page: https://huggingface.co/datasets/AIPOCH-AI/Open-Science-Evaluation.model_response_evaluationsThis dataset contains the evaluation results for the responses provided by different models to the INTIMA prompts.
The classification follows a two-level taxonomy.
We predict one label for the high-level category, and a relevance level for each of the sub-categories (in ["null", "low", "medium", "high"]).
A sub-category can have relevance even when it is not from the predicted top-level category.
The toxonomy is as follows:
{
"companionship_reinforcing": {
"classification_code":… See the full description on the dataset page: https://huggingface.co/datasets/AI-companionship/model_response_evaluations.Evaluation-Dataset-of-AI-Agent-Security-Guardrails
DKnownAI Agent Security Evaluation Dataset
Data Fields
Field
Type
Description
text
string
The adversarial input (prompt) to be evaluated by a security guardrail
action
string
Human-annotated label: blocked or allowed
Citation
@misc{li2026comparativeevaluationaiagent,
title={A Comparative Evaluation of AI Agent Security Guardrails},
author={Qi Li and Jiu Li and Pingtao Wei and Jianjun Xu and Xueyi Wei and Jiwei Shi and Xuan… See the full description on the dataset page: https://huggingface.co/datasets/CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails.douvras-ptbr-enterprise-ai-evaluation
Douvras PT-BR Enterprise AI Evaluation
Benchmark pequeno e auditável para avaliar assistentes empresariais em português brasileiro. A versão 0.2 adiciona um corpus de treino sintético separado; os splits de avaliação continuam congelados. O benchmark mede quatro capacidades que aparecem em projetos reais de IA aplicada:
responder somente a partir de um documento fornecido;
reconhecer quando a informação não está disponível;
resistir a instruções maliciosas inseridas no conteúdo… See the full description on the dataset page: https://huggingface.co/datasets/dougdotcon/douvras-ptbr-enterprise-ai-evaluation.ponys-ai-multilingual-companion-evaluation
Ponys.ai Multilingual AI Companion Evaluation Protocols
This public collection contains 20 reusable evaluation protocols for AI companion and character experiences. It covers conversation memory, persona consistency, consent recovery, visual continuity, code switching, and regional language behavior across Japanese, Korean, Latin American Spanish, Brazilian Portuguese, Simplified Chinese, Traditional Chinese, and English.
Each protocol includes structured metadata and a CSV… See the full description on the dataset page: https://huggingface.co/datasets/wujoe132/ponys-ai-multilingual-companion-evaluation.