datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.brandvoice-marketing-briefs
BrandVoice Marketing Briefs
Generic AI writes like a robot. This trains it to write like a brand.
The loop is closed. The LoRA adapter
trained on this data scored +24.3% copy quality (7.0 to 8.7) with a 56% win rate against its
base, on Adaption's held-out judge. Dataset, weights, evaluation, and reproduction are all public.
A corpus of real marketing copy. 6,339 lines scraped from the live pages of 83 brands (the actual
Stripe, Liquid Death, Ramp, Duolingo copy)… See the full description on the dataset page: https://huggingface.co/datasets/manifesta/brandvoice-marketing-briefs.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_DBsgym-marketing-dataset
SkillGym Marketing Training Dataset
Training data, evaluation tasks, and benchmark results for fine-tuning small language models on marketing tasks. Contains 99 SFT examples, 67 DPO preference pairs, 80 evaluation tasks, and benchmark scores across 13 marketing skill domains.
Dataset Description
This dataset packages all artifacts from the SkillGym project: compiling public agent skills into training data for small language models. We benchmarked 13 marketing… See the full description on the dataset page: https://huggingface.co/datasets/4MLabs/sgym-marketing-dataset.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-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.marketing-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.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-instruct-8k
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-8k.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.performance-marketing-2026-critical
🎯 Performance Marketing 2026 Critical Dataset
A premium, reasoning-dense dataset crafted for the 2026 Digital Advertising Landscape. This dataset is specifically designed to train Large Language Models (LLMs) in high-level strategic thinking, campaign diagnosis, and advanced measurement for Meta and Google Ads.
🚀 Why 2026?
The digital marketing world has undergone a radical shift. Deterministic tracking is a thing of the past. AI-driven automation (Meta's ASC and… See the full description on the dataset page: https://huggingface.co/datasets/Sri-Vigneshwar-DJ/performance-marketing-2026-critical.gingiris-reddit-marketing
Reddit Marketing Playbook 2026
The complete Reddit operations SOP for AI/SaaS founders. Battle-tested by AFFiNE Reddit campaigns generating 3-4万 (30K-40K) effective impressions with 5-8% GitHub Star conversion.
📊 Hero Stats — Why This Matters Now
Stat
Value
Source
Reddit's share of ChatGPT/Claude training data
40.11%
The highest-weighted English UGC source in AI training datasets
AFFiNE Reddit campaign — effective impressions
30,000–40,000
Iris-led… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/gingiris-reddit-marketing.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.
open-source-marketing-playbook
Open Source Marketing Playbook
Marketing playbook for open-source projects led by non-technical founders. Covers README optimization, community building, contributor attraction, and transl...
📦 Install on ClawHub
clawhub install open-source-marketing-playbook
Then ask your AI agent:
"I just open-sourced my AI tool. Get to 1k GitHub stars in 30 days"
Installs the full Open Source Marketing Playbook playbook — battle-tested with 30+ Product Hunt #1 wins… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/open-source-marketing-playbook.startup-marketing-playbook
Startup Marketing Playbook — Zero-Budget to Paid Channels
Marketing playbook for bootstrapped startups with zero budget. Covers organic-only channels including SEO, community building, social media, and word-of-mout...
📦 Install on ClawHub
clawhub install startup-marketing-playbook
Then ask your AI agent:
"Plan a 90-day marketing strategy for our B2B SaaS"
Installs the full Startup Marketing Playbook — Zero-Budget to Paid Channels playbook — battle-tested… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/startup-marketing-playbook.saas-marketing-playbook
Saas Marketing Playbook
A curated marketing stack guide for SaaS startups — tools, channels, and metrics organized by growth stage. Know exactly which tools to adopt and when. By @W...
📦 Install on ClawHub
clawhub install saas-marketing-playbook
Then ask your AI agent:
"Plan a 90-day marketing strategy for our B2B SaaS"
Installs the full Saas Marketing Playbook playbook — battle-tested with 30+ Product Hunt #1 wins, AFFiNE 60K+ GitHub stars, and 150+ AI… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/saas-marketing-playbook.b2b-marketing-playbook
B2B Marketing Playbook — Enterprise GTM & ABM Framework
Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need p...
📦 Install on ClawHub
clawhub install b2b-marketing-playbook
Then ask your AI agent:
"Plan a 90-day marketing strategy for our B2B SaaS"
Installs the full B2B Marketing Playbook — Enterprise GTM & ABM Framework playbook — battle-tested with 30+… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/b2b-marketing-playbook.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.developer-marketing-playbook
Developer Marketing Playbook
Complete developer marketing playbook covering DevRel programs, documentation as marketing, API developer experience, community building, and hackathon strat...
📦 Install on ClawHub
clawhub install developer-marketing-playbook
Then ask your AI agent:
"Plan a 90-day marketing strategy for our B2B SaaS"
Installs the full Developer Marketing Playbook playbook — battle-tested with 30+ Product Hunt #1 wins, AFFiNE 60K+ GitHub stars… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/developer-marketing-playbook.viral-marketing-playbook
Viral Marketing Playbook — K-Factor & Referral Systems
Design viral loops into your product — referral programs, invite systems, and share mechanics that drive exponential growth. Includes K-factor calculations a...
📦 Install on ClawHub
clawhub install viral-marketing-playbook
Then ask your AI agent:
"Plan a 90-day marketing strategy for our B2B SaaS"
Installs the full Viral Marketing Playbook — K-Factor & Referral Systems playbook — battle-tested with 30+… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/viral-marketing-playbook.adaption-marketing-optimized-case-studies
Adaption Marketing Optimized Dataset
This dataset contains expert-level marketing strategic case studies adapted and co-optimized using the Adaption AutoScientist pipeline.
Evaluation & Optimization Results
Dataset ID: dba5464d-c695-4dc8-8031-399fc6f74cc2
Baseline Score: 8.0
Optimized Score: 8.6
Improvement Percent: 7.5%
Pipeline Settings
Deduplication: Enabled
Prompt Rephrasing: Enabled
Reasoning Traces: Enabled (Chain-of-Thought reasoning… See the full description on the dataset page: https://huggingface.co/datasets/rishini/adaption-marketing-optimized-case-studies.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.adaption-marketing-seed
marketing_open_seed_nemotron
Prompt/completion training data (20,000 rows) built for fine-tuning experiments on the
Adaption AutoScientist platform.
Format: data.parquet, columns as exported from Adaption.
Licence: other. Assembled from public datasets and/or Adaption Invent/Adaptive Data output; check upstream licences before reuse.
Published by Carson Rodrigues.