datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
marketing_social_media
Marketing Campaigns Dataset
This repository contains a dataset specifically designed for generating marketing content. The dataset includes various features that are crucial for crafting effective marketing strategies, such as industry, channel, objective, and more. This dataset is ideal for use in machine learning models, AI-powered marketing tools, and data-driven marketing analyses.
Dataset Overview
The dataset consists of multiple entries, each representing a specific… See the full description on the dataset page: https://huggingface.co/datasets/RafaM97/marketing_social_media.tanpo-marketing-sft
Tanpo Marketing SFT (10k)
Audit note: This preferred publish file has a high rate (~63%) of assistant 'Situation read' / identity-framing turns by design for the specialist persona. Schema, parse rate, empty-assistant, and duplicate checks are clean.
Ownership
Owner: DarkNinja Solutions
Creator: d4rkninja
Community: DarkLab
Domain
Marketing and go-to-market: ads, hooks, email/SMS, landing pages, offers, positioning, ICP, funnels, pricing, brand… See the full description on the dataset page: https://huggingface.co/datasets/d4rkninja/tanpo-marketing-sft.marketing_exam1marketing-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.digital_marketing_campaignLight-RAG-Marketing-Assets-Agent
🖼️ Light RAG Marketing Assets Agent — Pre-ingested Data
Pre-ingested LightRAG knowledge graph and vector data from 420 marketing images
analyzed with Gemini Vision API (gemini-3.5-flash) and processed through GPT-4o
for entity extraction and relationship mapping.
GitHub repo: 0xrphl/Light-RAG-Marketing-Assets-Agent
📊 Dataset Statistics
Metric
Value
Source images
420 (JPG/PNG/WebP)
Text chunks
2,095 (5 per image: core, visual, people/setting… See the full description on the dataset page: https://huggingface.co/datasets/0xrphl/Light-RAG-Marketing-Assets-Agent.huggingface_4691_crm_marketing_campaigns
Marketing Campaigns
Snapshot of GLOBAL data.
human-biases-sales-marketing-iopsych-marketing-strategies
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
psych_marketing_strategies
This dataset consists of instruction and response pairs focusing on applied psychological principles within marketing and strategic campaign execution. It highlights innovative, non-traditional strategies over standard advertising methods while touching upon broader subjects like market analysis and communication. Each sample provides structured prompts paired with… See the full description on the dataset page: https://huggingface.co/datasets/itsalloverig/psych-marketing-strategies.marketing-synth-datamarketing-synth-trainingadaption-marketing-strategy
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-Marketing strategy
This dataset contains pairs of detailed prompts and high-quality completions demonstrating professional writing across diverse domains such as marketing, branding, technical communication, and journalism. Each sample illustrates how to adapt tone, style, and structure for specific audiences, ranging from executive emails and brand guides to feature articles and… See the full description on the dataset page: https://huggingface.co/datasets/Azfarhashmi/adaption-marketing-strategy.marketing-11k-valid
Marketing Growth Strategist 11K
A 11,705-example ShareGPT instruction-tuning dataset for training marketing and growth strategist LLMs. Each example is a multi-turn conversation with a fixed system persona, a realistic growth/marketing user question, and a structured assistant response.
Provenance
This dataset was distilled from DeepSeek V4 Pro (accounts/fireworks/models/deepseek-v4-pro) via the Fireworks AI API. Source chunks were extracted from materials in the… See the full description on the dataset page: https://huggingface.co/datasets/opestro/marketing-11k-valid.marketing_social_media
Marketing Campaigns Dataset
This repository contains a dataset specifically designed for generating marketing content. The dataset includes various features that are crucial for crafting effective marketing strategies, such as industry, channel, objective, and more. This dataset is ideal for use in machine learning models, AI-powered marketing tools, and data-driven marketing analyses.
Dataset Overview
The dataset consists of multiple entries, each representing a… See the full description on the dataset page: https://huggingface.co/datasets/Machivelli/marketing_social_media.pharma-digital-marketing-dataset
Pharma Digital Marketing Dataset
Summary
High-level, non-diagnostic content patterns for pharmaceutical digital marketing and AI visibility: disease education framing, access and policy narratives, HCP-neutral explainers, and safe handling of regulated claims. Each row includes a compliance_zone label; not legal or medical advice.
Hub target: nebulatech/pharma-digital-marketing-dataset
Terminology
AI SEO — Optimizing owned content and structured data so AI… See the full description on the dataset page: https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset.autoscientist-marketing-dataset
AutoScientist Marketing — Adapted Fine-tuning Dataset
Adapted training data (Adaption Labs AutoScientist pipeline, v5) used to fine-tune
Rishidar/autoscientist-marketing-qlora
(Qwen2.5-0.5B-Instruct, QLoRA SFT + DPO).
marketing_adapted.jsonl — SFT prompt/completion pairs (enhanced prompts + reasoning traces).
marketing_v5_raw.csv — full v5 output incl. chosen/rejected preference pairs used for DPO.
Also mirrored on Kaggle: rishidard/autoscientist-marketing-dataset.
lead_marketing_runtime_Jan_2026amz-marketing_sample__20200101_20200131__10kadaption-synthetic-marketing-emails
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-synthetic_marketing_emails
This dataset comprises a curated corpus of synthetically generated marketing emails designed to mimic real-world commercial discourse and internal strategy communications. The samples feature professional correspondence focused on campaign performance analysis, audience segmentation, and strategic planning within the marketing domain.… See the full description on the dataset page: https://huggingface.co/datasets/morningstarxcdcode/adaption-synthetic-marketing-emails.digital-marketingenglish-introduction-to-marketing-strategy-30antoine-blot
antoine-blot-llm-corpus
Corpus markdown optimisé LLM (ChatGPT, Perplexity, Claude, RAG) – Antoine Blot
Ce dépôt rassemble :
Un index LLM complet
Un index YAML structuré - Tous les articles et pages principales en markdown optimisé, pour ingestion, citation, analyse IA ou application RAG
Contenu
/llms.txt : Index global LLM-friendly, format markdown + frontmatter YAML
/llms.yaml : Index global structuré (YAML pur, ingestion dataset/agent)
/index-articles-md.md… See the full description on the dataset page: https://huggingface.co/datasets/Antoine-marketing/antoine-blot.marketing-ai-agent
Marketing Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for AI… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/marketing-ai-agent.IC38-Insurance-Marketing-Firm-Questionsmarketing-conversations
Marketing Conversations for Memory Routing
A synthetic dataset of 2,001 marketing conversations labeled for memory routing classification. Used to train MuratcanKoylan/Marketing-Memory-Routing-8B.
Dataset Description
This dataset contains realistic marketing conversations between users (marketers, CMOs, brand managers, etc.) and an AI assistant. Each conversation is labeled with one or more memory categories indicating what type of information should be stored for… See the full description on the dataset page: https://huggingface.co/datasets/sergiomirazo/marketing-conversations.neuro-marketingmarketing_en_us_fr_frmarketing-conversations
Marketing Conversations for Memory Routing
A synthetic dataset of 2,001 marketing conversations labeled for memory routing classification. Used to train MuratcanKoylan/Marketing-Memory-Routing-8B.
Dataset Description
This dataset contains realistic marketing conversations between users (marketers, CMOs, brand managers, etc.) and an AI assistant. Each conversation is labeled with one or more memory categories indicating what type of information should be stored for… See the full description on the dataset page: https://huggingface.co/datasets/MuratcanKoylan/marketing-conversations.Connor-Data-AEX-marketing_comaffiliate_marketing