gemini-ai
AIME-2021-2025-Perturbed-Solutions-V1.0-Gemini-2.5-FlashVietnamese-Salesforce-xlam-function-calling-Geminicitationmapper-atom01-gemini
CitationMapper – Mapping AI Citation Visibility
Entity: CitationMapper (AI visibility tool)
Figure 1. CitationMapper logo – official brand mark.
Explore CitationMapper™ (Gemini version)
Watch the explainer (YouTube): bit.ly/cm-atom1-video-geminiDownload the video (MP4): citationmapper-explainer-ai-visibility-video-gemini.mp4
🧩 What is CitationMapper?
CitationMapper is the first prompt competition analyzer built for AI visibility.It helps SEO agencies, marketing… See the full description on the dataset page: https://huggingface.co/datasets/AIVOMeshLab/citationmapper-atom01-gemini.gemini-2.5-vs-pro-realism-ai-perception
Gemini 2.5 Flash vs Gemini 3 Pro: Photorealism Comparaison
The dataset quantifies how much better Google's newest image model, Gemini 3 Pro Image, is at generating photorealistic images compared to Gemini 2.5 Flash Image.
This text-to-image benchmark dataset contains 6428 human judgments from annotators across 50+ countries, collected in under 20 minutes using the Rapidata Python API, accessible to anyone and ideal for small to large scale evaluation.
Overview
30… See the full description on the dataset page: https://huggingface.co/datasets/indomar/gemini-2.5-vs-pro-realism-ai-perception.travel-multi-turn-chat-geminiGemini_3.1_202_Task_AI_Exposure_Scores
Gemini 3.1 2026 Task AI Exposure Scores
Dataset Summary
This dataset contains task-level AI exposure labels for O*NET task statements. Each task is classified into one of four categories, E0, E1, E2, or E3, using an updated 2026 Agentic AI Exposure Rubric and a Gemini 3.1 Pro classification pipeline. The labels are designed to capture whether a task can be accelerated by a frontier agentic AI system directly, whether it would require deeper software integration, or… See the full description on the dataset page: https://huggingface.co/datasets/MIT-WAL/Gemini_3.1_202_Task_AI_Exposure_Scores.