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.marketing-instruct-13k
Dataset Card for marketing-instruct-13k
Dataset Details
Dataset Description
A curated instruction-tuning dataset of ~13,000 marketing copywriting
examples across five task types, built for the AutoScientist Challenge
2026 (Marketing category). This is the largest dataset in the
Marketing-Mixtral/Llama series, used to fine-tune
Marketing-Llama-3.3-70B
(88% win rate against base Llama-3.3-70B-Instruct).
It extends marketing-instruct-8k
with an… See the full description on the dataset page: https://huggingface.co/datasets/suehuynh/marketing-instruct-13k.Marketing-Emails
Marketing Emails
A curated corpus of synthetically generated yet realistic marketing email messages designed to support research in Domain Adaptation, Natural Language Processing (NLP), Data Science, Machine Learning, and Communication research.
The dataset is appropriate for a wide spectrum of training paradigms—including pre-training, fine-tuning, and domain adaptation—as well as for rigorous evaluation of models targeting domain-specific language understanding and generation… See the full description on the dataset page: https://huggingface.co/datasets/marketeam/Marketing-Emails.social-instagram-marketing
Social — Instagram Marketing Multimodal Dataset
A synthetic, multimodal dataset for Social, an AI Instagram-marketing agent. Every row is a single Instagram post idea that pairs a marketing caption with a matching AI-generated image, conditioned on a business brief and brand preferences.
Agent pattern: owner brief + brand preferences → 3 similar successful posts (retrieval / recommendation) + 1 freshly generated post (caption + image).
Rows (total)
1,447… See the full description on the dataset page: https://huggingface.co/datasets/avihayamor/social-instagram-marketing.task720_mmmlu_answer_generation_marketing
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task720_mmmlu_answer_generation_marketing
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task720_mmmlu_answer_generation_marketing.Data-Analytics-Digital-Marketing-Project-Management-QA_DBmarketing_user_prompts_unfilteredtanpo-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_exam1bank-marketing-propensity
Introduction
This project explores several classification techniques as applied to a bank's marketing campaign data. The classification goal is to predict whether the client will subscribe a term deposit (variable y).
Source: https://archive.ics.uci.edu/ml/datasets/bank+marketing
It's recommended that the viewer read the Jupyter Notebook in NBViewer: https://nbviewer.jupyter.org/github/sgus1318/marketing_propensity/blob/master/Bank_DirectMarketing_Propensity.ipynb… See the full description on the dataset page: https://huggingface.co/datasets/kokul/bank-marketing-propensity.marketing-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.marketing-briefs
Brief 003 · Marketing brief review
Review the generated marketing requests and record approval directly in the dataset. This batch contains 339 briefs. All products, offers, and supporting claims are fictional.
Start reviewing
Open the brief viewer and editor →
Click a row to inspect the brief. Start with user_text, the request a user would send to the model.
Compare it with the structured brief: deliverable, product_description, offer, audience_description… See the full description on the dataset page: https://huggingface.co/datasets/zeton-labs/marketing-briefs.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.marketing_campaign_datamarketing_emailsmarketing_campaigndigital_marketing_campaignmarketing-instruct-4k
Dataset Card for marketing-instruct-4k
Dataset Details
Dataset Description
A curated instruction-tuning dataset of ~4,300 marketing copywriting
examples across five task types, built for the AutoScientist Challenge
2026 (Marketing category). Used to fine-tune Marketing-Mixtral-8x7B.
Key finding: this carefully curated dataset at its natural size
outperformed a 12,000-row version expanded via automated augmentation
(80% vs 58% win rate against the… See the full description on the dataset page: https://huggingface.co/datasets/suehuynh/marketing-instruct-4k.MarketingStructuralPrompts
README.md
Enhancing Large Language Model Performance in Digital Marketing Strategies with a Specialized Prompt Dataset
Creator: Muratcan Koylan
About the Dataset
This dataset, comprising 4,643 specialized prompts across various categories of digital marketing, aims to enhance the performance of Large Language Models (LLMs) like GPT-3 in generating accurate, relevant, and industry-specific marketing strategies.
30 Paid Search Prompts
15 ROAS Prompts… See the full description on the dataset page: https://huggingface.co/datasets/MuratcanKoylan/MarketingStructuralPrompts.Light-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.banking-marketing
About Dataset
Context
Term deposits are a major source of income for a bank. A term deposit is a cash investment held at a financial institution. Your money is invested for an agreed rate of interest over a fixed amount of time, or term. The bank has various outreach plans to sell term deposits to their customers such as email marketing, advertisements, telephonic marketing, and digital marketing.
Telephonic marketing campaigns still remain one of the most effective way… See the full description on the dataset page: https://huggingface.co/datasets/Andyrasika/banking-marketing.Nemotron-Personas-Marketing
Marketing Personas (Filtered from Nemotron-Personas)
Dataset Card for Marketing Personas (Filtered from Nemotron-Personas)
This dataset contains only Marketing-related personas filtered from the originalnvidia/Nemotron-Personas dataset.
The filtering was done using keyword-based search for terms likemarketing, advertising, branding, campaign, social media, promotion, sales, content strategy, digital marketing, etc.
Dataset Details
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/marketeam/Nemotron-Personas-Marketing.marketing-campaign-performance-200k
Marketing Campaign Performance Dataset (200k)
Mirror de Kaggle: Marketing Campaign Performance Dataset (manishabhatt22), 200.000 filas de campañas de marketing (verificado: rango de fechas 2021-01-01 a 2021-12-31, no dos años como dice la card de Kaggle). Subido aquí para poder cargarlo con datasets.load_dataset() sin credenciales de Kaggle.
Contenido
data/marketing_campaign_dataset.csv — 200.000 filas, ~27 MB, 16 columnas.
data/data_dictionary.md — descripción… See the full description on the dataset page: https://huggingface.co/datasets/federicomoreno/marketing-campaign-performance-200k.human-biases-sales-marketing-iohuggingface_4691_crm_marketing_campaigns
Marketing Campaigns
Snapshot of GLOBAL data.
FineWeb-Marketing
FineWeb-Marketing Annotations
495,116 FineWeb documents scored 0–5 for marketing content quality by Gemma-3-27B-it. This is the annotation data behind marketeam/Fineweb-Classifier-Marketing.
Dataset Description
Each row is one document sampled from FineWeb, scored on a 0–5 marketing-quality scale by prompting Gemma-3-27B-it three independent times and aggregating the results. This is the same relationship as HuggingFaceFW/fineweb-edu-llama3-annotations is to the FineWeb-Edu… See the full description on the dataset page: https://huggingface.co/datasets/marketeam/FineWeb-Marketing.psych-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.bank_marketingmarketing-synth-datamarketing_email_samples