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Forbes Magazine Archive (1917–1924) — Cleaned & AI‑Ready
LLM Fine-Tuning Data
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£12,500
About
Train your model on the origin story of one of the most iconic business publications in American history. This is more than just another dataset. This is essentially the complete first seven years of Forbes Magazine's existence, prepared for AI training, 271 issues from 1917 to 1924. This is a pivotal period spanning the final years of World War I, the post‑war boom, and the emergence of modern American business. Articles by B.C. Forbes, Samuel Gompers, and others cover finance, industry, labor, and the cultural shifts of the era.
What's Included
270+ complete issues (increasing with each update)
Full‑text articles, editorials, financial tables, and period advertisements
Structured as JSONL (one line per article)
Provenance‑tracked, bias‑audited, and human‑reviewed
Why This Data
Historical depth, firsthand accounts of early‑20th‑century business
AI‑ready: clean, structured, ready for ingestion
Ethically sourced: pre‑1930 public domain, bias‑audited
Certified: meets the standards of the Foundation for Ethical AI
Ideal For
LLM fine‑tuning on historical business text
Economic history research
Financial model training
Corporate heritage and cultural studies
License
One‑time purchase. Perpetual access to the current archive. Optional annual updates available.
AI Training Rights
Licensee is granted a non-exclusive, worldwide, and perpetual right to:
- Use the Data Product to train, fine-tune, and evaluate machine learning models, including large language models.
- Incorporate Data Product content into models and commercialize resulting model outputs.
- Create derivative works (model weights, embeddings, etc.) for any lawful purpose.
Restrictions:
- The Data Product itself may not be sold, redistributed, or shared outside of licensed usage.
- Licensee must comply with all applicable laws, including data protection and privacy regulations.
Data Dictionary
- issue_id: string — issue identifier
- title: string — article title
- author: string — author name
- publication_date: string — issue date
- section: string — magazine section
- text: string — full article text (bias audit embedded)
Listing Stats
VIEWS
14
DELIVERY
INSTANT DOWNLOAD
LISTED
21/03/2026
UPDATED
22/03/2026
REGION
GLOBAL
QUALITY
5 / 5
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£12,500
Download Dataset in JSON Format
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