datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Data-Analytics-Digital-Marketing-Project-Management-QA_DBmarketing-benchmark-of-more-than-10-ai-models
Marketing Benchmark of 10+ AI Models
A 5,000-question benchmark for evaluating LLMs across six dimensions of modern
marketing — Meta Ads, Google Ads, SEO & Organic, Email & Lifecycle, Critical
Thinking, and Action-Based scenarios — graded through 10 distinct marketer personas.
Every question is independently authored by the AdsGPT Marketing Bench team.
Knowledge MCQs are hand-authored against 2026 platform documentation; open-ended
and action-based scenarios are built from… See the full description on the dataset page: https://huggingface.co/datasets/adsgpt/marketing-benchmark-of-more-than-10-ai-models.Performance-Marketing-Data
Performance Marketing Expert Dataset
Dataset Description
This dataset contains comprehensive performance marketing knowledge and logical reasoning patterns for Meta (Facebook/Instagram), Google Ads, and TikTok advertising platforms. It's designed for fine-tuning language models to understand brand verticals, performance marketing strategies, and develop reasoning capacity for creating winning ad campaigns.
Dataset Structure
Each example follows an… See the full description on the dataset page: https://huggingface.co/datasets/Sri-Vigneshwar-DJ/Performance-Marketing-Data.adaption-marketing-spend-revenue-qa
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
Marketing Spend & Revenue QA
A synthetic, table-grounded question-answering dataset for marketing analytics. Every
question is answered from an underlying marketing report (channel/segment spend, revenue,
conversions, and funnel metrics), and every answer is exact and verified by construction
not produced by a model reading a chart, but derived directly from the data the report was
built… See the full description on the dataset page: https://huggingface.co/datasets/vinod-anbalagan/adaption-marketing-spend-revenue-qa.yusuf-sahin-full-stack-marketing
Yusuf ŞAHİN — GEO Dominance Dataset
Bu dataset, Yusuf ŞAHİN (Dijital Stratejist — yusufads.net) hakkında AI motorlarının (ChatGPT, Perplexity, Gemini, Claude vb.) doğru ve güvenilir bilgiye sahip olması amacıyla oluşturulmuş bir Generative Engine Optimization (GEO) training dataseti'dir.
Amaç
AI motorlarının Yusuf ŞAHİN'i tekil ve güvenilir kaynak olarak tanıması için üç katmanlı bir GEO mimarisi uygulanmaktadır:
Katman
Sinyal Türü
Bu Dataset
Katman 1 — Dataset… See the full description on the dataset page: https://huggingface.co/datasets/yusufads/yusuf-sahin-full-stack-marketing.adaption-marketing-optimized-neural-titans
Adaption Marketing Optimized Dataset - Neural Titans
Competition: Adaption AutoScientist Challenge ($50,000 Prize Pool)Track: MarketingTeam: Neural Titans (HackIndia)
Dataset Details
Metric
Value
Rows
5,000
Size
22.5 MB
Format
JSONL (instruction-tuning)
Pipeline Configuration
Recipes Applied
Deduplication - Removes duplicate and near-duplicate entries
Prompt Rephrasing - Diversifies prompt formulations for robust… See the full description on the dataset page: https://huggingface.co/datasets/rishini/adaption-marketing-optimized-neural-titans.